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BibTeX:
@conference{Moan2010a,
  author = {Steven Le Moan and Alamin Mansouri and Jon Y. Hardeberg and Yvon Voisin},
  title = {A CLASS-SEPARABILITY-BASED METHOD FOR MULTI/HYPERSPECTRAL IMAGE COLOR VISUALIZATION},
  booktitle = {International Conference on Image Processing (ICIP)},
  address = {Hong Kong},
  month = {Sep},
  year = {2010}
}
BibTeX:
@conference{Sole2010,
  author = {Aditya Sole and Peter Nussbaum and Jon Yngve Hardeberg},
  title = {Implementing ISO12646 standards for soft proofing in a standardized printing workflow according to PSO},
  booktitle = {iarigai},
  address = {Montreal, Canada},
  month = {Sep},
  year = {2010}
}
BibTeX:
@conference{Imran2010,
  author = {Ali Shariq Imran and Faouzi Alaya Cheikh},
  title = {Blind Image Quality Metric For Blackboard Lecture Images},
  booktitle = {European Signal Processing Conference (EUSIPCO)},
  address = {Aalborg, Denmark},
  month = {Aug},
  year = {2010}
}
BibTeX:
@conference{Shrestha2010,
  author = {Raju Shrestha and Jon Yngve Hardeberg},
  title = {Multispectral Image Capture using two RGB cameras},
  booktitle = {European Signal Processing Conference (EUSIPCO)},
  address = {Aalborg, Denmark},
  month = {Aug},
  year = {2010}
}
BibTeX:
@conference{Cao2010a,
  author = {Guanqun Cao and Faouzi Alaya Cheikh},
  title = {SALIENT REGION DETECTION WITH OPPONENT COLOR BOOSTING},
  booktitle = {European Workshop on Visual Information Processing (EUVIP)},
  address = {Paris, France},
  month = {Jul},
  year = {2010}
}
BibTeX:
@conference{Imran2010a,
  author = {Ali Imran and Fahad Guraya and Faouzi Alaya Cheikh},
  title = {A VISUAL ATTENTION BASED REFERENCE FREE PERCEPTUAL QUALITY METRIC},
  booktitle = {European Workshop on Visual Information Processing (EUVIP)},
  address = {Paris, France},
  month = {Jul},
  year = {2010}
}
BibTeX:
@conference{Islam2010,
  author = {ABM Tariqul Islam and Ivar Farup},
  title = {ENHANCING THE OUTPUT OF SPATIAL COLOR ALGORITHMS},
  booktitle = {European Workshop on Visual Information Processing (EUVIP)},
  address = {Paris, France},
  month = {Jul},
  year = {2010}
}
BibTeX:
@conference{Simone2010,
  author = {Gabriele Simone and Marius Pedersen and Jon Hardeberg},
  title = {MEASURING PERCEPTUAL CONTRAST IN UNCONTROLLED ENVIRONMENTS},
  booktitle = {European Workshop on Visual Information Processing (EUVIP)},
  address = {Paris, France},
  month = {Jul},
  year = {2010}
}
BibTeX:
@inproceedings{Ajagamelle2010,
  author = {Sebastien Akli Ajagamelle and Marius Pedersen and Gabriele Simone},
  title = {Analysis of the Difference of Gaussians Model in Image Difference Metrics},
  booktitle = {5th European Conference on Colour in Graphics, Imaging, and Vision (CGIV)},
  address = {Joensuu, Finland},
  month = {June},
  year = {2010},
  pages = {489--496}
}
BibTeX:
@inproceedings{Bakke2010,
  author = {Arne Magnus Bakke and Ivar Farup},
  title = {Simplified Gamut Boundary Representation Using Mesh Decimation},
  booktitle = {5th European Conference on Colour in Graphics, Imaging, and Vision (CGIV)},
  address = {Joensuu, Finland},
  month = {June},
  year = {2010},
  pages = {459--465}
}
BibTeX:
@inproceedings{Cao2010,
  author = {Guanqun Cao and Marius Pedersen and Zofia Baranczuk},
  title = {Saliency Models as Gamut-Mapping Artifact Detectors},
  booktitle = {5th European Conference on Colour in Graphics, Imaging, and Vision (CGIV)},
  address = {Joensuu, Finland},
  month = {June},
  year = {2010},
  pages = {437--443}
}
BibTeX:
@inproceedings{Gila2010,
  author = {Aitor Alvarez Gila and Guanqun Cao and Sheikh Faridul Hasan and Yu Hu},
  title = {Combining Color Descriptors for Improved Codebook Model-Based Image Retrieval},
  booktitle = {5th European Conference on Colour in Graphics, Imaging, and Vision (CGIV)},
  address = {Joensuu, Finland},
  month = {June},
  year = {2010},
  pages = {306--313}
}
BibTeX:
@inproceedings{Hardeberg2010,
  author = {Jon Yngve Hardeberg},
  title = {Color by Numbers -- Quantifying the Quality of Color Reproduction},
  booktitle = {5th European Conference on Colour in Graphics, Imaging, and Vision (CGIV)},
  address = {Joensuu, Finland},
  month = {June},
  year = {2010},
  pages = {429--430},
  note = {Keynote}
}
BibTeX:
@inproceedings{Moan2010,
  author = {Steven Le Moan and Alamin Mansouri and Tadeusz Sliwa and Madaín Pérez and Patricio and Yvon Voisin and Jon Y. Hardeberg},
  title = {Convex Objects Recognition and Classification Using Spectral and Morphological Descriptors},
  booktitle = {5th European Conference on Colour in Graphics, Imaging, and Vision (CGIV)},
  address = {Joensuu, Finland},
  month = {June},
  year = {2010},
  pages = {293--299}
}
BibTeX:
@inproceedings{Pant2010,
  author = {Dibakar Raj Pant and Ivar Farup},
  title = {Evaluating Color Difference Formulae by Riemannian Metric},
  booktitle = {5th European Conference on Colour in Graphics, Imaging, and Vision (CGIV)},
  address = {Joensuu, Finland},
  month = {June},
  year = {2010},
  pages = {497--503}
}
BibTeX:
@inproceedings{Pedersen2010,
  author = {Marius Pedersen and Seyed Ali Amirshahi},
  title = {Framework for the Evaluation of Color Prints Using Image Quality Metrics},
  booktitle = {5th European Conference on Colour in Graphics, Imaging, and Vision (CGIV)},
  address = {Joensuu, Finland},
  month = {June},
  year = {2010},
  pages = {75--82}
}
BibTeX:
@inproceedings{Wang2010,
  author = {Zhaohui Wang and Anna Aristova and Jon Yngve Hardeberg},
  title = {Evaluating the Effect of Noise on 3D LUT-Based Color Transformations},
  booktitle = {5th European Conference on Colour in Graphics, Imaging, and Vision (CGIV)},
  address = {Joensuu, Finland},
  month = {June},
  year = {2010},
  pages = {88--93}
}
BibTeX:
@conference{Hardeberg2010a,
  author = {Jon Yngve Hardeberg},
  title = {Multispectral Color Imaging},
  booktitle = {Industrial Visionday},
  address = {Copenhagen, Denmark},
  month = {May},
  year = {2010},
  note = {Invited talk}
}
BibTeX:
@conference{Wang2010a,
  author = {Zhaohui Wang and Anna Aristova and Jon Yngve Hardeberg},
  title = {Quantifying Smoothness of the LUTs-based Color Transformations},
  booktitle = {31st International Congress on Imaging Science (ICIS)},
  address = {Beijing, China},
  month = {May},
  year = {2010}
}
BibTeX:
@article{Pedersen2010a,
  author = {M. Pedersen and N. Bonnier and J. Y. Hardeberg and F. Albregtsen},
  title = {Attributes of Image Quality for Color Prints},
  month = {Jan},
  journal = {Journal of Electronic Imaging},
  year = {2010},
  volume = {19},
  number = {1},
  pages = {011016-1 -- 011016-13},
  url = {http://spiedl.aip.org/getabs/servlet/GetabsServlet?prog=normal&id=JEIME5000019000001011016000001&idtype=cvips&gifs=Yes&ver=dl&type=ALERT}
}
BibTeX:
@article{George2010,
  author = {Sony George and Jon Y. Hardeberg and Tomson G. George and V. P. N. Nampoori},
  title = {Automatic Redeye Correction Algorithm with Multilevel Eye Confirmation},
  journal = {Journal of Imaging Science and Technology},
  publisher = {IST},
  year = {2010},
  volume = {54},
  number = {3},
  pages = {030404},
  url = {http://link.aip.org/link/?IST/54/030404/1},
  doi = {10.2352/J.ImagingSci.Technol.2010.54.3.030404}
}
BibTeX:
@article{Thomas2010,
  author = {Jean-Baptiste Thomas and Arne Magnus Bakke and Jeremie Gerhardt},
  title = {Spatial Nonuniformity of Color Features in Projection Displays: A Quantitative Analysis},
  journal = {Journal of Imaging Science and Technology},
  publisher = {IST},
  year = {2010},
  volume = {54},
  number = {3},
  pages = {030403},
  url = {http://link.aip.org/link/?IST/54/030403/1},
  doi = {10.2352/J.ImagingSci.Technol.2010.54.3.030403}
}
BibTeX:
@article{Tong2010,
  author = {Yubing Tong and Hubert Konik and Faouzi A. Cheikh and Alain Tremeau},
  title = {Full Reference Image Quality Assessment Based on Saliency Map Analysis},
  journal = {Journal of Imaging Science and Technology},
  publisher = {IST},
  year = {2010},
  volume = {54},
  number = {3},
  pages = {030503},
  url = {http://link.aip.org/link/?IST/54/030503/1},
  doi = {10.2352/J.ImagingSci.Technol.2010.54.3.030503}
}
BibTeX:
@inproceedings{Pedersen2009c,
  author = {Marius Pedersen and Nicolas Bonnier and Jon Y. Hardeberg and Fritz Albregtsen},
  title = {Attributes of a New Image Quality Model for Color Prints},
  booktitle = {17th Color Imaging Conference},
  address = {Albuquerque, NM, USA},
  month = {Nov},
  year = {2009},
  pages = {204--209},
  url = {http://colorlab.no/content/download/26878/303515/file/Pedersen2009c_Poster.pdf}
}
BibTeX:
@inproceedings{Wang2009,
  author = {Zhaohui Wang and Jon Yngve Hardeberg},
  title = {An adaptive Bilateral Filter for Predicting Color Image Difference},
  booktitle = {17th Color Imaging Conference},
  address = {Albuquerque, NM, USA},
  month = {Nov},
  year = {2009},
  pages = {27-31}
}
BibTeX:
@conference{Simone2009d,
  author = {Gabriele Simone and Claudio Oleari and Ivar Farup},
  title = {PERFORMANCE OF THE EUCLIDEAN COLOR-DIFFERENCE FORMULA IN LOG-COMPRESSED OSA-UCS SPACE APPLIED TO MODIFIED-IMAGE-DIFFERENCE METRICS},
  booktitle = {11th Congress of the International Colour Association (AIC)},
  address = {Sydney, Australia},
  month = {Sep},
  year = {2009},
  url = {http://colorlab.no/content/download/25902/274796/file/Simone2009d.pdf}
}
BibTeX:
@conference{Ajagamelle2009,
  author = {S. A. Ajagamelle and G. Simone and M. Pedersen},
  title = {Performance of the Difference of Gaussians Model in Image Difference Metrics},
  booktitle = {Proceedings from Gjøvik Color Imaging Symposium 2009},
  address = {Gj\o vik, Norway},
  month = {Jun},
  year = {2009},
  series = {Høgskolen i Gjøviks rapportserie},
  number = {4},
  pages = {27-30},
  url = {http://brage.bibsys.no/hig/bitstream/URN:NBN:no-bibsys_brage_9313/3/sammensatt_elektronisk.pdf}
}
BibTeX:
@inproceedings{Alsam2009,
  author = {A. Alsam and I. Farup},
  title = {Colour Gamut Mapping as a Constrained Variational Problem},
  booktitle = {16th Scandinavian Conference on Image Analysis},
  address = {Oslo, Norway},
  month = {Jun},
  year = {2009},
  series = {Lecture Notes in Computer Science},
  volume = {5575},
  pages = {109--118},
  url = {http://www.springerlink.com/link.asp?id=105633}
}
BibTeX:
@inproceedings{Anderson2009,
  author = {Hyrum S. Anderson and Jon Yngve Hardeberg and Maya R. Gupta},
  title = {Full Reference Image Quality Metrics for Optimizing Example-based Total Variation Deblurring},
  booktitle = {Proceedings from Gjøvik Color Imaging Symposium 2009},
  address = {Gj\o vik, Norway},
  month = {Jun},
  year = {2009},
  series = {Høgskolen i Gjøviks rapportserie},
  number = {4},
  pages = {38-44},
  url = {http://brage.bibsys.no/hig/bitstream/URN:NBN:no-bibsys_brage_9313/3/sammensatt_elektronisk.pdf}
}
BibTeX:
@inproceedings{Bakke2009b,
  author = {Arne Magnus Bakke and Jean-Baptiste Thomas and Jérémie Gerhardt},
  title = {Common Assumptions in Color Characterization of Projectors},
  booktitle = {Proceedings from Gjøvik Color Imaging Symposium 2009},
  address = {Gj\o vik, Norway},
  month = {Jun},
  year = {2009},
  series = {Høgskolen i Gjøviks rapportserie},
  number = {4},
  pages = {45-53},
  url = {http://brage.bibsys.no/hig/bitstream/URN:NBN:no-bibsys_brage_9313/3/sammensatt_elektronisk.pdf}
}
BibTeX:
@inproceedings{Colantoni2009,
  author = {P. Colantoni and J-B. Thomas},
  title = {A color management process for real time color reconstruction of multispectral images},
  booktitle = {16th Scandinavian Conference on Image Analysis},
  address = {Oslo, Norway},
  month = {Jun},
  year = {2009},
  series = {Lecture Notes in Computer Science},
  volume = {5575},
  pages = {128--137},
  url = {http://www.springerlink.com/link.asp?id=105633}
}
BibTeX:
@inproceedings{George2009,
  author = {Sony George and Jon Yngve Hardeberg and Tomson G George},
  title = {A fully Automatic Redeye Correction Algorithm with Multilevel Eye Confirmation},
  booktitle = {Proceedings from Gjøvik Color Imaging Symposium 2009},
  address = {Gj\o vik, Norway},
  month = {Jun},
  year = {2009},
  series = {Høgskolen i Gjøviks rapportserie},
  number = {4},
  pages = {82-89},
  url = {http://brage.bibsys.no/hig/bitstream/URN:NBN:no-bibsys_brage_9313/3/sammensatt_elektronisk.pdf}
}
BibTeX:
@inproceedings{Gerhardt2009,
  author = {J. Gerhardt and J.Y. Hardeberg},
  title = {Simple Comparison of Spectral Color Reproduction Workflows},
  booktitle = {16th Scandinavian Conference on Image Analysis},
  address = {Oslo, Norway},
  month = {Jun},
  year = {2009},
  series = {Lecture Notes in Computer Science},
  volume = {5575},
  pages = {550--559},
  url = {http://www.springerlink.com/link.asp?id=105633}
}
BibTeX:
@inproceedings{Pant2009,
  author = {Dibakar Raj Pant},
  title = {Least-Square Technique for Color Reproduction of Semi-Transparent Material},
  booktitle = {Proceedings from Gjøvik Color Imaging Symposium 2009},
  address = {Gj\o vik, Norway},
  month = {Jun},
  year = {2009},
  series = {Høgskolen i Gjøviks rapportserie},
  number = {4},
  pages = {70-76},
  url = {http://brage.bibsys.no/hig/bitstream/URN:NBN:no-bibsys_brage_9313/3/sammensatt_elektronisk.pdf}
}
BibTeX:
@inproceedings{Pedersen2009a,
  author = {Marius Pedersen},
  title = {111 Full-Reference Image Quality Metrics and Still Not Good Enough?},
  booktitle = {Proceedings from Gjøvik Color Imaging Symposium 2009},
  address = {Gj\o vik, Norway},
  month = {Jun},
  year = {2009},
  series = {Høgskolen i Gjøviks rapportserie},
  number = {4},
  pages = {4},
  url = {http://brage.bibsys.no/hig/bitstream/URN:NBN:no-bibsys_brage_9313/3/sammensatt_elektronisk.pdf}
}
BibTeX:
@techreport{Pedersen2009d,
  author = {Marius Pedersen and Jon Yngve Hardeberg},
  title = {Survey of full-reference image quality metrics},
  address = {Gjøvik, Norway},
  month = {June},
  year = {2009},
  number = {5},
  note = {ISSN: 1890-520X},
  url = {http://brage.bibsys.no/hig/bitstream/URN:NBN:no-bibsys_brage_9330/1/rapport052009_elektroniskversjon.pdf}
}
BibTeX:
@inproceedings{Rizzi2009,
  author = {Alessandro Rizzi and Aditya Sole and Peter Nussbaum},
  title = {Colour and Lightness Perception in Low and High Dynamic Range ScenesRange Scenes},
  booktitle = {Proceedings from Gjøvik Color Imaging Symposium 2009},
  address = {Gj\o vik, Norway},
  month = {Jun},
  year = {2009},
  series = {Høgskolen i Gjøviks rapportserie},
  number = {4},
  pages = {110-116},
  url = {http://brage.bibsys.no/hig/bitstream/URN:NBN:no-bibsys_brage_9313/3/sammensatt_elektronisk.pdf}
}
BibTeX:
@inproceedings{Sharma2009,
  author = {Puneet Sharma and Faouzi Alaya Cheikh and Jon Yngve Hardeberg},
  title = {Face Saliency in Human Visual Saliency Models},
  booktitle = {Proceedings from Gjøvik Color Imaging Symposium 2009},
  address = {Gj\o vik, Norway},
  month = {Jun},
  year = {2009},
  series = {Høgskolen i Gjøviks rapportserie},
  number = {4},
  pages = {12-18},
  url = {http://brage.bibsys.no/hig/bitstream/URN:NBN:no-bibsys_brage_9313/3/sammensatt_elektronisk.pdf}
}
BibTeX:
@inproceedings{Simone2009c,
  author = {G. Simone and C. Oleari and I. Farup},
  title = {An Alternative Color Difference Formula for Computing Image Difference},
  booktitle = {Proceedings from Gjøvik Color Imaging Symposium 2009},
  address = {Gj\o vik, Norway},
  month = {Jun},
  year = {2009},
  series = {Høgskolen i Gjøviks rapportserie},
  number = {4},
  pages = {8-11},
  url = {http://brage.bibsys.no/hig/bitstream/URN:NBN:no-bibsys_brage_9313/3/sammensatt_elektronisk.pdf}
}
BibTeX:
@inproceedings{Simone2009b,
  author = {Gabriele Simone and Marius Pedersen and Jon Yngve Hardeberg and Ivar Farup},
  title = {On the use of gaze information and saliency maps for measuring perceptual contrast},
  booktitle = {16th Scandinavian Conference on Image Analysis},
  address = {Oslo, Norway},
  month = {Jun},
  year = {2009},
  series = {Lecture Notes in Computer Science},
  volume = {5575},
  pages = {597--606},
  url = {http://www.springerlink.com/link.asp?id=105633}
}
BibTeX:
@proceedings{Simone2009a,,
  title = {Gjøvik Color Imaging Symposium},
  address = {Gj\o vik, Norway},
  month = {June},
  year = {2009},
  series = {Gjøvik University College Report Series},
  number = {4},
  note = {ISSN 1890-520X},
  url = {http://brage.bibsys.no/hig/bitstream/URN:NBN:no-bibsys_brage_9313/3/sammensatt_elektronisk.pdf}
}
BibTeX:
@conference{Pedersen2009,
  author = {Marius Pedersen and Jon Yngve Hardeberg},
  title = {SHAME: A new spatial hue angle metric for perceptual image difference},
  booktitle = {Vision Sciences Society 9th Annual Meeting},
  address = {Naples, Florida},
  month = {May},
  year = {2009},
  note = {Vision Sciences Society}
}
BibTeX:
@conference{Marius2009,
  author = {Marius Pedersen and Nicolas Bonnier and Fritz Albregtsen and Jon Yngve Hardeberg},
  title = {Towards a New Image Quality Model for Color Prints},
  booktitle = {ICC Digital Print Day},
  month = {Mar},
  year = {2009},
  url = {http://www.color.org/DigitalPrint/ICCDigitalPrint_presentations.pdf}
}
BibTeX:
@inproceedings{Pedersen2009e,
  author = {Marius Pedersen and Jon Yngve Hardeberg},
  title = {A new spatial hue angle metric for perceptual image difference},
  booktitle = {Second International Workshop Computational Color Imaging (CCIW09)},
  address = {Saint-Etienne, France},
  month = {Mar},
  publisher = {Springer},
  year = {2009},
  series = {Lecture Notes in Computer Science},
  volume = {5646},
  pages = {81--90},
  url = {http://www.springerlink.com/link.asp?id=105633}
}
BibTeX:
@inproceedings{Thomas2009,
  author = {Jean-Baptiste Thomas and Arne Magnus Bakke},
  title = {A colorimetric study of spatial uniformity in projection displays},
  booktitle = {Second International Workshop Computational Color Imaging (CCIW09)},
  address = {Saint-Etienne, France},
  month = {Mar},
  year = {2009},
  series = {Lecture Notes in Computer Science},
  volume = {5646},
  url = {http://www.springerlink.com/link.asp?id=105633}
}
BibTeX:
@inproceedings{Bakke2009,
  author = {Arne M. Bakke and Ivar Farup and Jon Y. Hardeberg},
  title = {Predicting the performance of a spatial gamut mapping algorithm},
  booktitle = {Color Imaging XIV: Displaying, Hardcopy, Processing, and Applications},
  address = {San Jose, CA, USA},
  month = {Jan},
  year = {2009},
  volume = {7241}
}
BibTeX:
@inproceedings{Bakke2009a,
  author = {Arne M. Bakke and Jon Y. Hardeberg and Steffen Paul},
  title = {Simulation of film media in motion picture production using a digital still camera},
  booktitle = {Image Quality and System Performance VI},
  address = {San Jose, CA, USA},
  month = {Jan},
  year = {2009},
  volume = {7242}
}
BibTeX:
@inproceedings{Pedersen2009b,
  author = {Marius Pedersen and Fritz Albregtsen and Jon Y. Hardeberg},
  title = {Detection of worms in error diffusion halftoning},
  booktitle = {Image Quality and System Performance VI},
  address = {San Jose, CA, USA},
  month = {Jan},
  year = {2009},
  volume = {7242}
}
BibTeX:
@inproceedings{Renani2009,
  author = {Siavash Asgari Renani and Masato Tsukada and Jon Yngve Hardeberg},
  title = {Compensating for non-uniform screens in projection display systems},
  booktitle = {Color Imaging XIV: Displaying, Hardcopy, Processing, and Applications},
  address = {San Jose, CA, USA},
  month = {Jan},
  year = {2009},
  volume = {7241}
}
BibTeX:
@inproceedings{Simone2009,
  author = {Gabriele Simone and Marius Pedersen and Jon Yngve Hardeberg and Alessandro Rizzi},
  title = {Measuring perceptual contrast in a multilevel framework},
  booktitle = {Human Vision and Electronic Imaging XIV},
  month = {Jan},
  publisher = {SPIE},
  year = {2009},
  volume = {7240}
}
BibTeX:
@article{Dugay2007b,
  author = {Fabienne Dugay and Ivar Farup and Jon Y. Hardeberg},
  title = {Perceptual Evaluation of Color Gamut Mapping Algorithms},
  month = {Dec},
  journal = {Color Research \& Application},
  year = {2008},
  volume = {33},
  number = {6},
  pages = {470-476}
}
BibTeX:
@article{Gerhardt2008,
  author = {Jérémie Gerhardt and Jon Y. Hardeberg},
  title = {Spectral color reproduction minimizing spectral and perceptual color differences},
  month = {Dec},
  journal = {Color Research \& Application},
  year = {2008},
  volume = {33},
  number = {6},
  pages = {494-504}
}
BibTeX:
@article{Mansouri2008,
  author = {Alamin Mansouri and Tadeusz Sliwa and Jon Y. Hardeberg and Yvon Voisin},
  title = {Representation and estimation of spectral reflectances using projection on PCA and wavelet bases},
  month = {Dec},
  journal = {Color Research \& Application},
  year = {2008},
  volume = {33},
  number = {6},
  pages = {485-493}
}
BibTeX:
@conference{Mansouri2008a,
  author = {Mansouri, Alamin and Sliwa, Tadeusz and Hardeberg, Jon Yngve and Voisin, Yvon},
  title = {An adaptive-PCA algorithm for reflectance estimation from color images},
  booktitle = {19th International Conference on Pattern Recognition},
  month = {Dec},
  year = {2008},
  pages = {1-4},
  url = {http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=4761120&isnumber=4760915}
}
BibTeX:
@article{Thomas2008b,
  author = {Jean-Baptiste Thomas and Jon Y. Hardeberg and Irène Foucherot and Pierre Gouton},
  title = {The PLVC display color characterization model revisited},
  month = {Dec},
  journal = {Color Research \& Application},
  year = {2008},
  volume = {33},
  number = {6},
  pages = {449-460}
}
BibTeX:
@conference{Sharma2008,
  author = {Puneet Sharma and Faouzi Alaya Cheikh and Jon Yngve Hardeberg},
  title = {Saliency Map for Human Gaze Prediction in Images},
  booktitle = {Sixteenth Color Imaging Conference},
  address = {Portland, Oregon},
  month = {Nov},
  year = {2008}
}
BibTeX:
@conference{Simone2008,
  author = {Gabriele Simone and Claudio Oleari},
  title = {Software with Visual Phenomena, Tests, and Standard Colorimetric Computations for Didactics and Laboratory},
  booktitle = {Sixteenth Color Imaging Conference},
  address = {Portland, Oregon},
  month = {Nov},
  year = {2008}
}
BibTeX:
@article{Simone2008a,
  author = {Gabriele Simone and Marius Pedersen and Jon Yngve Hardeberg and Alessandro Rizzi},
  title = {A multi-level framework for measuring perceptual image contrast},
  month = {Oct},
  journal = {Scandinavian Journal of Optometry and Visual Science},
  year = {2008},
  volume = {1},
  number = {1},
  pages = {15},
  url = {http://www.synsinformasjon.no/Optikeren/pop.cfm?FuseAction=Doc&pAction=View&pDocumentId=17216}
}
BibTeX:
@conference{Bakke2008,
  author = {A.M. Bakke and I. Farup and J.Y. Hardeberg},
  title = {Improved gamut boundary determination for color gamut mapping},
  booktitle = {IARIGAI},
  address = {Valencia, Spain},
  month = {Sep},
  year = {2008}
}
BibTeX:
@article{Hardeberg2008,
  author = {Jon Yngve Hardeberg and Eriko Bando and Marius Pedersen},
  title = {Evaluating colour image difference metrics for gamut-mapped images},
  month = {Aug},
  journal = {Coloration Technology},
  year = {2008},
  volume = {124},
  number = {4},
  pages = {243-253},
  url = {http://www3.interscience.wiley.com/cgi-bin/fulltext/121356959/PDFSTART}
}
BibTeX:
@inproceedings{Koppen2008,
  author = {Mario Koppen and Katrin Franke},
  title = {A Color Morphology based on Pareto-Dominance Relation and Hypervolume Measure},
  booktitle = {CGIV 2008 - Fourth European Conference on Color in Graphics, Imaging and Vision},
  address = {Terrassa, Spain},
  month = {Jun},
  publisher = {IS/\&T},
  year = {2008}
}
BibTeX:
@inproceedings{Mikalsen2008,
  author = {Espen Bårdsnes Mikalsen and Jon Yngve Hardeberg and Jean-Baptiste Thomas},
  title = {Verification and extension of a camera-based end-user calibration method for projection displays},
  booktitle = {CGIV 2008 - Fourth European Conference on Color in Graphics, Imaging and Vision},
  address = {Terrassa, Spain},
  month = {Jun},
  publisher = {IS/\&T},
  year = {2008}
}
BibTeX:
@inproceedings{Pedersen2008b,
  author = {Marius Pedersen and Jon Yngve Hardeberg},
  title = {Rank Order and Image Difference Metrics},
  booktitle = {CGIV 2008 Fourth European Conference on Color in Graphics, Imaging and Vision},
  address = {Terrassa, Spain},
  month = {Jun},
  publisher = {IS\&T},
  year = {2008},
  pages = {120-125}
}
BibTeX:
@inproceedings{Pedersen2008a,
  author = {Marius Pedersen and Alessandro Rizzi and Jon Yngve Hardeberg and Gabriele Simone},
  title = {Evaluation of contrast measures in relation to observers perceived contrast},
  booktitle = {CGIV 2008 - Fourth European Conference on Color in Graphics, Imaging and Vision},
  address = {Terrassa, Spain},
  month = {Jun},
  publisher = {IS\&T},
  year = {2008},
  pages = {253-256}
}
BibTeX:
@inproceedings{Rizzi2008,
  author = {Alessandro Rizzi and Gabriele Simone and Roberto Cordone},
  title = {A modified algorithm for perceived contrast in digital images},
  booktitle = {CGIV 2008 - Fourth European Conference on Color in Graphics, Imaging and Vision},
  address = {Terrassa, Spain},
  month = {Jun},
  publisher = {IS\&T},
  year = {2008},
  pages = {249-252}
}
BibTeX:
@conference{Kominkova2008a,
  author = {Barbora Kominkova and Jon Yngve Hardeberg and Marius Pedersen and Marie Kaplanova.},
  title = {Comparison of eye tracking devices used on printed images},
  booktitle = {Scandinavian Workshop on Applied Eye-tracking},
  address = {Lund, Sweden},
  month = {Apr},
  year = {2008}
}
BibTeX:
@conference{Pedersen2008c,
  author = {Marius Pedersen and Jon Yngve Hardeberg and Peter Nussbaum},
  title = {Using gaze information to improve image difference metrics},
  booktitle = {Scandinavian Workshop on Applied Eye-tracking},
  address = {Lund, Sweden},
  month = {Apr},
  year = {2008}
}
BibTeX:
@inproceedings{Nussbaum2008,
  author = {Peter Nussbaum},
  title = {Print Quality Evaluation and Applied Colour Management in Coldset Offset Newspaper Print},
  booktitle = {{TAGA} 60th Annual Technical Conference},
  address = {San Francisco, CA, USA},
  month = {Mar},
  year = {2008}
}
BibTeX:
@article{Alsam2008a,
  author = {Ali Alsam and David Connah},
  title = {Optimal bases for convex color mixture},
  month = {Feb},
  journal = {J. Opt. Soc. Am. A},
  year = {2008},
  volume = {25},
  pages = {3}
}
Abstract: Eye tracking as a quantitative method for collecting eye movement data, requires the accurate knowledge of the eye position, where eye movements can provide indirect evidence about what the subject sees. In this study two eye tracking devices have been compared, Head-mounted Eye Tracking Device (HED) and Remote Eye Tracking Device (RED). It has been found out precisions of both devices, gaze position accuracy and stability of the calibration. For the HED it has been investigated how to register data to real-world coordinates. Whereas, since coordinates collected by the eye tracker are relative to the position of the subject's head and not relative to the actual stimuli as in the RED case. Result shows that the precision with time delay get worse for both eye tracking devices. The precision of RED is better than the HED and the difference between them is around 10 - 16 pixels (5.584 mm). Distribution of gaze position for HED and RED was expressed by a percentage representation of the point of regard in areas maked defined by the viewing angle. For both eye tracking devices the gaze position accuracy has been 95-99% at 1.5-2 degree viewing angle. The stability of the calibration was investigated on the end of the experiment and the result is not statistically significant. But the distribution of the gaze position is larger at the end of the experiment than at the beginning.
BibTeX:
@inproceedings{Kominkova2008,
  author = {Barbora Kominkova and Marius Pedersen and Jon Yngve Hardeberg and Marie Kaplanova},
  title = {Comparison of eye tracking devices used on printed images},
  booktitle = {Human Vision and Electronic Imaging VIII (HVEI-08)},
  address = {San Jose, USA},
  month = {Jan},
  publisher = {SPIE},
  year = {2008},
  series = {SPIE proceedings},
  volume = {6806}
}
BibTeX:
@inproceedings{Lefloch2008,
  author = {Damien Lefloch and Faouzi Alaya Cheikh and Jon Yngve Hardeberg and Pierre Goutton and Romain Picot-Clemente},
  title = {Real-time people counting system using a single video camera},
  booktitle = {Real-Time Image Processing},
  month = {Jan},
  publisher = {SPIE},
  year = {2008},
  volume = {6811}
}
Abstract: We have used image difference metrics to measure the quality of a set of images to know how well they predict perceived image difference. We carried out a psychophysical experiment with 25 observers along with an recording of the observers gaze position. The image difference metrics used were CIELAB deltaEab, S-CIELAB, the hue angle algorithm, iCAM and SSIM. A frequency map from the eye tracker data was applied as a weighting to the image difference metrics. The results indicate an improvement in correlation between the predicted image difference and the perceived image difference.
BibTeX:
@inproceedings{Pedersen2008,
  author = {Marius Pedersen and Jon Yngve Hardeberg and Peter Nussbaum},
  title = {Using gaze information to improve image difference metrics},
  booktitle = {Human Vision and Electronic Imaging VIII (HVEI-08)},
  address = {San Jose, USA},
  month = {Jan},
  publisher = {SPIE},
  year = {2008},
  series = {SPIE proceedings},
  volume = {6806},
  pages = {680611-1--680611-12}
}
BibTeX:
@inproceedings{Thomas2008,
  author = {Jean-Baptiste Thomas and Philippe Colantoni and Jon Yngve Hardeberg and Irene Foucherot and Pierre Gouton},
  title = {An inverse display color characterization model based on an optimized geometrical structure},
  booktitle = {Color Imaging XIII: Processing, Hardcopy, and Applications},
  address = {San Jose, USA},
  month = {Jan},
  publisher = {SPIE},
  year = {2008},
  volume = {6807}
}
BibTeX:
@article{Alsam2008,
  author = {Ali Alsam and Graham Finlayson},
  title = {Integer Programming for Optimal Reduction of Calibration Targets},
  journal = {Color, Research \& Application},
  year = {2008}
}
BibTeX:
@article{Thomas2008a,
  author = {Jean-Baptiste Thomas and Philippe Colantoni and Jon Y. Hardeberg and Irène Foucherot and Pierre Gouton},
  title = {A geometrical approach for inverting display color characterization models},
  journal = {SID},
  year = {2008},
  volume = {16},
  number = {10}
}
BibTeX:
@article{Wroldsen2008,
  author = {Wroldsen, Maria Sunde and Nussbaum, Peter and Hardeberg, Jon Yngve},
  title = {A comparison of densitometric and planimetric techniques for newspaper printing},
  journal = {TAGA Journal},
  year = {2008}
}
BibTeX:
@inproceedings{Gerhardt2007,
  author = {Jeremie Gerhardt and Jon Yngve Hardeberg},
  title = {Spectral color reproduction},
  booktitle = {34th International Research Conference of iarigai},
  address = {Grenoble},
  month = {Sep},
  year = {2007}
}
BibTeX:
@conference{Silva2007,
  author = {E. A. Silva and K. Panettaa and S.S. Agaian},
  title = {Quantifying image similarity using measure of enhancement by entropy},
  booktitle = {Mobile multimedia/image processing for military and security applications},
  address = {Orlando, Florida},
  month = {Apr},
  year = {2007}
}
BibTeX:
@inproceedings{Gerhardt2007b,
  author = {Jeremie Gerhardt and Jon Yngve Hardeberg},
  title = {Controlling the error in spectral vector error diffusion},
  booktitle = {Electronic Imaging:Color Imaging XII: Processing, Hardcopy, and Applications},
  address = {San Jose, CA},
  month = {Jan},
  publisher = {SPIE},
  year = {2007},
  series = {SPIE Proceedings},
  volume = {6493},
  pages = {649316}
}
BibTeX:
@article{Alsam2007a,
  author = {Ali Alsam and Graham Finlayson},
  title = {Metamer Sets without Spectral Calibration},
  journal = {JOSA A},
  year = {2007},
  volume = {24},
  pages = {2505-2512}
}
BibTeX:
@article{Alsam2007,
  author = {Ali Alsam and Reiner Lenz},
  title = {Calibrating Color Cameras using Metameric Blacks},
  journal = {JOSA A},
  year = {2007},
  volume = {24},
  number = {1},
  pages = {11-17}
}
BibTeX:
@article{Farup2007,
  author = {Ivar Farup and Carlo Gatta and Alessandro Rizzi},
  title = {A Multiscale Framework for Spatial Gamut Mapping},
  journal = {IEEE Transactions on Image Processing},
  year = {2007},
  volume = {16},
  number = {10},
  pages = {2423-2435}
}
BibTeX:
@article{Farup2007a,
  author = {Ivar Farup and Jan Henrik Wold and Thorstein Seim and Torkjel Søndrol},
  title = {Generating lights with specified spectral power distributions},
  journal = {Applied Optics},
  year = {2007},
  volume = {46},
  number = {13},
  pages = {2414-2422}
}
BibTeX:
@inproceedings{Gerhardt2007a,
  author = {Jeremie Gerhardt},
  title = {Spectral Color Reproduction versus color reproduction},
  booktitle = {Gjøvik Color Imaging Symposium},
  year = {2007}
}
BibTeX:
@inproceedings{Gerhardt2007c,
  author = {Jeremie Gerhardt and Jon Yngve Hardeberg},
  title = {Spectral color reproduction versus color reproduction},
  booktitle = {Advances in Printing and Media Technology},
  address = {Zagreb, Croatia},
  publisher = {Acta Graphica Publishers},
  year = {2007},
  volume = {34},
  pages = {147-152},
  note = {ISBN 978-953-7292-04-1}
}
BibTeX:
@inproceedings{Hardeberg2007,
  author = {Jon Yngve Hardeberg and Jeremie Gerhardt},
  title = {Towards spectral color reproduction},
  booktitle = {Ninth International Symposium on Multispectral Colour Science and Application},
  publisher = {IS\&T},
  year = {2007},
  pages = {16--22},
  note = {ISBN 978-0-89208-272-8}
}
BibTeX:
@techreport{Hardeberg2007a,
  author = {Jon Yngve Hardeberg and Peter Nussbaum and Ali Alsam and Ivar Farup},
  title = {Proceedings from Gjøvik Color Imaging Symposium 2007},
  year = {2007}
}
BibTeX:
@article{Hardeberg2007b,
  author = {Jon Yngve Hardeberg and Peter Nussbaum and Sylvain Roch and Ondrej Panak},
  title = {Time matters in soft proofing},
  journal = {Acta Graphica - Journal of Printing Science and Graphic Communication},
  year = {2007},
  volume = {19},
  number = {1-2},
  pages = {1-10},
  note = {ISSN 0353-4707}
}
Abstract: We present a new efficient hue- and edge-preserving spatial color gamut mapping algorithm. The initial computation of the algorithm is to project all out-of-gamut colors to the destination gamut boundary towards the center of the gamut. Based on this spatially invariant hue-preserving clipping of the image, we construct a greyscale map indicating the amount of compression performed. This map can be spatially modified by applying an edge-preserving smoothing filter that never decreases the amount of compression applied to an individual pixel. Finally, the colors of the original image are compressed towards the gamut center according to the filtered map. Examples on real images show that the algorithm gives interesting results.
BibTeX:
@inproceedings{Kolaas2007,
  author = {Øyvind Kolås and Ivar Farup},
  title = {Efficient Hue-preserving and Edge-preserving Spatial Color Gamut Mapping},
  booktitle = {IS\& T and SID's 15th Color Imaging Conference},
  year = {2007},
  pages = {207-212}
}
BibTeX:
@inproceedings{Koeppen2007,
  author = {Mario Koppen and Katrin Franke},
  title = {A generalized approach of color morphology by means of Pareto-set theory},
  booktitle = {GCIS Proceedings},
  year = {2007},
  pages = {29}
}
BibTeX:
@inproceedings{Mansouri2007,
  author = {Alamin Mansouri and Tedeusz Sliwa and Jon Yngve Hardeberg and Yvon Voisin},
  title = {New decomposition basis for reflectance recovery from multispectral imaging systems},
  booktitle = {GCIS2007 Proceedings},
  year = {2007},
  pages = {75-82}
}
Abstract: A color memory experiment with 5 colors (red, green, blue, yellow, and Caucasian skin color) was carried out. The color patches, shown on an LCD monitor, was memorized under a given viewing condition. The mixing of the memory color was then done first under the same viewing condition, and subsequently under other two altered viewing conditions. The conditions were different in the background and surround parameters. The color appearance model CIECAM02 was then used to predict color attributes under the altered viewing conditions. The lowest color memory shift in hue attribute was found for the red color. CIECAM02 seemed to have some limitation in colorfulness and chroma attribute prediction, for colors viewed on a black background. The result show, that the color attributes prediction in color memory experiment was not successful.
BibTeX:
@inproceedings{Panak2007,
  author = {Ondrej Panak and Peter Nussbaum and Jon Yngve Hardeberg and Marie Kaplanova},
  title = {Colour Memory Match Under Disparate Viewing Conditions},
  booktitle = {IS\&T and SID's 15th Color Imaging Conference},
  year = {2007},
  pages = {325-330}
}
BibTeX:
@inproceedings{Roch2007,
  author = {Sylvain Roch and Jon Yngve Hardeberg and Peter Nussbaum},
  title = {Effect of time spacing on the perceived color},
  booktitle = {SPIE Proceedings Color Imaging XII: Processing, Hardcopy, and Applications},
  year = {2007},
  volume = {6493}
}
BibTeX:
@inproceedings{Thomas2007,
  author = {Jean-Baptiste Thomas and Jon Yngve Hardeberg and Irene Foucherot and Pierre Gouton},
  title = {Additivity based LC display color characterization},
  booktitle = {GCIS2007 Proceedings},
  year = {2007},
  pages = {50-55}
}
BibTeX:
@inproceedings{Wroldsen2007,
  author = {Maria Sunde Wroldsen and Peter Nussbaum and Jon Yngve Hardeberg},
  title = {Densitometric and Planimetric Measurement Techniques for Newspaper Printing},
  booktitle = {TAGA Proceedings},
  year = {2007},
  pages = {273-290}
}
Abstract: Calibration charts are used in colour imaging to determine color correction transforms and for spectrally characterising imaging devices. Traditionally, quite complex charts have evolved as it was reasoned that the more reflectances in a chart the more the chart could represent all other reflectances. However, a chart with many reflectances is both expensive, difficult and tedious to use. The difficulty lies in assuming constant lighting conditions over the whole chart and the tedium appears when the chart must be measured using a spectrophotometer. To circumvent these problems researchers have sought methods to find smaller sets of reflectances which, in some sense, represent larger reflectance sets. In this paper we develop an iterative selection procedure where we select individual reflectances from a colour chart. The first is chosen so it best accounts for the majority of the spectral variance. The next best accounts for the variance that is left. In general the ith selected chart reflectance best accounts for the variance among reflectances (given that 1 reflectances are already selected). We show that this procedure is weakly optimal and as such compares with prior art which chooses reflectances using simple heuristics. The new method is also much faster than algorithms that are built on stronger optimality conditions. Experiments demonstrate that our new method represents a reasonable compromise between fast (and feasible) reflectance selection and the optimality of the chosen set.
BibTeX:
@inproceedings{Alsam2006b,
  author = {Ali Alsam and Graham Finlayson},
  title = {Reducing the Number of Calibration Surfaces},
  booktitle = {Fourteenth Color Imaging Conference},
  address = {Scottsdale, Arizona},
  month = {Nov},
  year = {2006},
  pages = {170-174},
  note = {ISBN / ISSN: 0-89208-291-7}
}
Abstract: We propose a colour to greyscale algorithm providing colour separation as well as edge and texture enhancement. An image dependent grey-axis is computed based on the colour distribution in the image. An initial greyscale image is created by a point-wise operation where the grey value is the magnitude of the RGB coordinates re-mapped to the grey axis. The resulting greyscale image is enhanced by applying a novel correction mask. This mask, resembling an unsharp mask, is the sum of the difference between each of the colour components and a blurred version of the greyscale image. The resulting greyscale images are rich in detail without undesirable artifacts.
BibTeX:
@inproceedings{Alsam2006a,
  author = {Ali Alsam and Øyvind Kolås},
  title = {Grey Colour Sharpening},
  booktitle = {Fourteenth Color Imaging Conference},
  address = {Scottsdale, Arizona},
  month = {Nov},
  year = {2006},
  pages = {263-267},
  note = {ISBN / ISSN: 0-89208-292-5}
}
Abstract: Several techniques for the computation of gamut boundaries have been presented in the past. In this paper we take an in-depth look at some of the gamut boundary descriptors used when performing todays gamut mapping algorithms. We present a method for evaluation of the mismatch introduced when using a descriptor to approximate the boundary of a device gamut. First, a visually verified reference gamut boundary is created by triangulating the gamut surface using a device profile or a device characterization model. The different gamut boundary descriptor techniques are then used to construct gamut boundaries based on several sets of simulated measurement data from the device. These boundaries are then compared against the reference gamut by utilizing a novel voxel based approach. Preliminary results from experiments using several gamut boundary descriptors are presented, and the performance of the different algorithms is discussed.
BibTeX:
@inproceedings{Bakke2006,
  author = {Arne Magnus Bakke and Jon Yngve Hardeberg and Ivar Farup},
  title = {Evaluation of Gamut Boundary Descriptors},
  booktitle = {Fourteenth Color Imaging Conference},
  address = {Scottsdale, Arizona, USA},
  month = {Nov},
  year = {2006},
  pages = {50-55},
  note = {ISBN / ISSN: 0-89208-291-7}
}
BibTeX:
@inproceedings{Nussbaum2006,
  author = {Peter Nussbaum and Jon Yngve Hardeberg},
  title = {Print quality evaluation and applied colour management in heat-set web offset},
  booktitle = {IARIGAI Conference},
  address = {Leipzig},
  month = {Sep},
  year = {2006}
}
BibTeX:
@inproceedings{Ouglov2006,
  author = {Andrei Ouglov and Ali Alsam and Rune Hjelsvold},
  title = {Gamut Intersection for Image Retrieval},
  booktitle = {CGIV 2006 -- Third European Conference on Color in Graphics, Imaging and Vision},
  address = {Leeds},
  month = {Jun},
  year = {2006}
}
Abstract: The surface reflectance functions of natural and man-made surfaces are invariably smooth. It is desirable to exploit this smoothness in a multispectral imaging system by using as few sen-sors as possible to capture and reconstruct the data. In this paper we investigate the minimum number of sensors to use, while also minimizing reconstruction error. We do this by deriving different numbers of optimized sensors, constructed by transforming the characteristic vectors of the data, and simulating reflectance recov-ery with these sensors in the presence of noise. We find an upper limit to the number of optimized sensors one should use, above which the noise prevents decreases in error. For a set of Munsell reflectances, captured under educated levels of noise, we find that this limit occurs at approximately nine sensors. We also demon-strate that this level is both noise and dataset dependent, by provid-ing results for different magnitudes of noise and different reflectance datasets.
BibTeX:
@article{Connah2006,
  author = {David Connah and Ali Alsam and Jon Y. Hardeberg},
  title = {Multispectral Imaging: How Many Sensors Do We Need?},
  month = {Jan/Feb},
  journal = {The Journal of Imaging Science and Technology},
  year = {2006},
  volume = {50},
  number = {1},
  pages = {45-52},
  note = {ISBN / ISSN: 1062-3701}
}
BibTeX:
@inproceedings{Marin2006,
  author = {Ambroise Marin and David Connah and Audrey Roman and Jon Yngve Hardeberg},
  title = {Robustness of texture parameters for color texture analysis},
  booktitle = {Proc. SPIE Electronic Imaging: Machine Vision Applications in Industrial Inspection XIV},
  address = {San Jose, California},
  month = {Jan},
  year = {2006},
  volume = {6070},
  pages = {47-56}
}
Abstract: Spectral calibration of digital cameras based on the spectral data of commercially available calibration charts is an ill-conditioned problem which has an infinite number of solutions. To improve upon the estimate, different constraints are commonly employed. Traditionally such constraints include: non-negativity, smoothness, uni-modality and that the estimated sensors results in as good as possible response fit.

In this paper, we introduce a novel method to solve a general ill-conditioned linear system with special focus on the solution of spectral calibration. We introduce a new approach based on metamerism. We observe that the difference between two metamers (spectra that integrate to the same sensor response) is in the null-space of the sensor. These metamers are used to robustly estimate the sensor's null-space. Based on this null-space, we derive projection operators to solve for the range of the unknown sensor. Our new approach has a number of advantages over standard techniques: It involves no minimization which means that the solution is robust to outliers and is not dominated by larger response values. It also offers the ability to evaluate the goodness of the solution where it is possible to show that the solution is optimal, given the data, if the calculated range is one dimensional.

When comparing the new algorithm with the truncated singular value decomposition and Tikhonov regularization we found that the new method performs slightly better for the training set with noticeable improvements for the test data.

BibTeX:
@inproceedings{Alsam2006,
  author = {Ali Alsam and Reiner Lenz},
  title = {Calibrating Color Cameras Using Metameric Blacks},
  booktitle = {CGIV 2006 -- Third European Conference on Color in Graphics, Imaging and Vision},
  address = {Leeds, UK},
  year = {2006},
  pages = {75-80},
  note = {ISBN / ISSN: 0-89208-262-3}
}
BibTeX:
@article{Finlayson2006,
  author = {Graham Finlayson and S. D. Hordley and Ali Alsam},
  title = {Investigating von Kries-like adaptation using local linear models},
  journal = {Color Research \& Application},
  year = {2006},
  volume = {31},
  number = {2},
  pages = {90-101}
}
Abstract: This paper demonstrates the feasibility of vector error diffusion for spectral colour reproduction using a multi-channel printing device. Using a simplified spectral printer model we demonstrate that spectral vector error diffusion is able to produce a good spectral match, implicitly solves the problem of printer model inversion and achieves reduced visual noise (stochastic moire) compared to when using standard channel independent scalar error diffusion.
BibTeX:
@inproceedings{Gerhardt2006,
  author = {Jeremie Gerhardt and Jon Y. Hardeberg},
  title = {Spectral Colour Reproduction by Vector Error Diffusion},
  booktitle = {CGIV 2006 -- Third European Conference on Color in Graphics, Imaging and Vision},
  address = {Leeds, UK},
  year = {2006},
  pages = {469-473},
  note = {ISBN / ISSN: 0-89208-262-3}
}
BibTeX:
@conference{Hardeberg2006a,
  author = {Jon Y. Hardeberg},
  title = {RECENT ADVANCES IN ACQUISITION AND REPRODUCTION OF MULTISPECTRAL IMAGES},
  booktitle = {EUSIPCO},
  year = {2006}
}
BibTeX:
@conference{Hardeberg2006b,
  author = {Jon Y. Hardeberg},
  title = {Color science, color management, and color image quality},
  booktitle = {NOBIM},
  year = {2006}
}
Abstract: For the third consecutive year Gjøvik University College and The Norwegian Color Research Laboratory organised an international symposium on colour imaging. Gjøvik Color Imaging Symposium 2005 took place November 30 and December 1, 2005, at Gjøvik University College in Gjøvik, Norway. The first day of the conference focused mainly on applied colour management, whereas the second day was devoted to current topics in colour imaging research, such as advanced colour management, spatial colour imaging, colour vision and colour constancy.
BibTeX:
@techreport{Hardeberg2006,
  author = {Jon Yngve Hardeberg and Peter Nussbaum and Ali Alsam and Ivar Farup},
  title = {Proceedings from Gjøvik Color Imaging Symposium 2005},
  year = {2006}
}
BibTeX:
@article{Nussbaum2006a,
  author = {Peter Nussbaum and Jon Yngve Hardeberg and Svein Erik Skarsbø},
  title = {Print quality evaluation for governmental purchase decisions},
  journal = {Advances in Printing Science and Technology},
  year = {2006},
  volume = {31},
  pages = {189-200},
  note = {ISBN 953-96276-9-9}
}
Abstract: In this paper we present a colorimetric characterization method for digital color cameras, based on hue plane and white point preservation. The present implementation of the method incorporates a series of 3 by 3 matrices, each responsible for the transformation of a subset of camera RGB-values to colorimetric XYZ-values. The method is compared to a choice of three other common characterization methods based on least squares fitting. These other methods are an unconstrained 3 by 3 matrix, a white point preserving 3 by 3 matrix and a second order polynomial.

The methods have been evaluated on real camera signals coming from an Imacon Ixpress professional digital CCD camera, under flash light. The Gretag MacBeth Color Checker and the Color Checker DC charts have been used as test set and training set (respectively). The method is evaluated in combination with a noise susceptibility estimation of the training set samples and a preliminary subdivision of the hue domain, that reduces the amount of test samples needed in the characterization. The noise estimation is based on a geometric analysis in camera chromaticity space.

BibTeX:
@inproceedings{Andersen2005,
  author = {Casper Find Andersen and Jon Yngve Hardeberg},
  title = {Colorimetric Characterization of Digital Cameras Preserving Hue Planes},
  booktitle = {Thirteenth Color Imaging Conference},
  address = {Scottsdale, Arizona},
  month = {Nov},
  year = {2005},
  pages = {141-146},
  note = {ISBN / ISSN: 0-89208-259-3}
}
BibTeX:
@inproceedings{Alsam2005,
  author = {Ali Alsam and Jeremie Gerhardt and Jon Yngve Hardeberg},
  title = {Inversion of the Spectral Neugebauer Printer model},
  booktitle = {AIC Colour 05},
  month = {May},
  year = {2005},
  pages = {44--62}
}
BibTeX:
@inproceedings{Andersen2005a,
  author = {Casper Find Andersen and Jon Yngve Hardeberg},
  title = {Hue plane preserving colorimetric characterization of digital cameras},
  booktitle = {Proceedings of the 10th Congress of the International Colour Association},
  address = {Granada, Spain},
  month = {May},
  year = {2005},
  pages = {287-290},
  note = {ISBN 84-609-5163-4}
}
BibTeX:
@inproceedings{Gouton2005,
  author = {Pierre Gouton and Loic Peigne and Gabrielle Menu and Jon Yngve Hardeberg},
  title = {Using a Standard Colour Camera to Correct Spatial Colorimetric Variation in Videoprojector Display},
  booktitle = {Proceedings of 7th International Conference on Quality Control by Artificial Vision (QCAV2005)},
  address = {Nagoya, Japan},
  month = {May},
  year = {2005},
  pages = {313-318}
}
BibTeX:
@inproceedings{Lau2005,
  author = {Daniel L. Lau and Jon Yngve Hardeberg},
  title = {Geometric alignment of a multiprimary display built by stacking six DLP projectors},
  booktitle = {Proceedings of the 10th Congress of the International Colour Association},
  address = {Granada, Spain},
  month = {May},
  year = {2005},
  pages = {133-136},
  note = {ISBN 84-609-5163-4}
}
BibTeX:
@article{Hardeberg2005a,
  author = {Jon Yngve Hardeberg and Ivar Farup and Gudmund Stjernvang},
  title = {Color quality analysis of a system for digital distribution and projection of cinema commercials},
  month = {Apr},
  journal = {SMPTE Motion Imaging Journal},
  year = {2005},
  volume = {114},
  number = {4},
  pages = {146-151}
}
Abstract: We carried out a CRT monitor based psychophysical experiment to investigate the quality of three colour image difference metrics, the CIE DElta Eab equation, the iCAM and the S-CIELAB metrics. Six original images were reproduced through six gamut mapping algorithms for the observer experiment. The result indicates that the colour image difference calculated by each metric does not directly relate to perceived image difference.
BibTeX:
@inproceedings{Bando2005,
  author = {Eriko Bando and Jon Yngve Hardeberg and David Connah},
  title = {Can gamut mapping quality be predicted by colour image difference formulae?},
  booktitle = {Human Vision and Electronic Imaging X},
  address = {San Jose, California},
  month = {Mar},
  year = {2005},
  pages = {180-191},
  note = {ISBN / ISSN: 0-8194-5639-X}
}
BibTeX:
@article{Mansouri2005,
  author = {A. Mansouri and F. S. Marzani and Jon Yngve Hardeberg and Pierre Gouton},
  title = {Optical Calibration of a Multispectral Imaging System based on Interference Filters},
  month = {Feb},
  journal = {Optical Engineering},
  year = {2005},
  volume = {44},
  number = {2}
}
Abstract: Calibration targets are widely used to characterize imaging devices and estimate optimal proles to map the response of one device to the space of another. The question addressed in this paper is that of how many surfaces in a calibration target are needed to account for the whole target perfectly. To accurately answer this question we first note that the reflectance spectra space is closed and convex. Hence the extreme points of the convexhull of the data encloses the whole target. It is thus sufficientto use the extreme points to represent the whole set. Further, we introduce a volume projection algorithm to reduce the extremes to a user defined number of surfaces such that the remaining surfaces are more important, i.e. account for a larger number of surfaces, than the rest. When testing our algorithm using the Munsell book of colors of 1269 reflectances we found that as few as 110 surfaces were sufficientto account for the rest of the data and as few as 3 surfaces accounted for 86% of the volume of the whole set.
BibTeX:
@inproceedings{Alsam2005a,
  author = {Ali Alsam and Jon Yngve Hardeberg},
  title = {Convex reduction of calibration charts},
  booktitle = {Color Imaging X: Processing, Hardcopy, and Applications},
  address = {San Jose, California},
  month = {Jan},
  year = {2005},
  pages = {38-46},
  note = {ISBN / ISSN: 0-8194-5640-3}
}
Abstract: A method is proposed for performing spectral gamut mapping, whereby spectral images can be altered to fit within an approximation of the spectral gamut of an output device. Principal component analysis (PCA) is performed on the spectral data, in order to reduce the dimensionality of the space in which the method is applied. The convex hull of the spectral device measurements in this space is computed, and the intersection between the gamut surface and a line from the center of the gamut towards the position of a given spectral reflectance curve is found. By moving the spectra that are outside the spectral gamut towards the center until the gamut is encountered, a spectral gamut mapping algorithm is defined. The spectral gamut is visualized by approximating the intersection of the gamut and a 2-dimensional plane. The resulting outline is shown along with the center of the gamut and the position of a spectral reflectance curve. The spectral gamut mapping algorithm is applied to spectral data from the Macbeth Color Checker and test images, and initial results show that the amount of clipping increases with the number of dimensions used.
BibTeX:
@inproceedings{Bakke2005a,
  author = {Arne Magnus Bakke and Ivar Farup and Jon Yngve Hardeberg},
  title = {Multispectral gamut mapping and visualization: a first attempt},
  booktitle = {Color Imaging X: Processing, Hardcopy, and Applications},
  address = {San Jose, California, USA},
  month = {Jan},
  year = {2005},
  pages = {193-200},
  note = {ISBN / ISSN: 0-8194-5640-3}
}
Abstract: In this paper we apply polynomial models to the problem of reflectance recovery for both three-channel and multispectral imaging systems. The results suggest that the technique is superior in terms of accuracy to a standard linear transform and its generalisation performance is equivalent provided that some regularisation is employed. The experiments with the multispectral system suggest that this advantage is reduced when the number of sensors are increased.
BibTeX:
@inproceedings{Connah2005,
  author = {David R. Connah and Jon Yngve Hardeberg},
  title = {Spectral recovery using polynomial models},
  booktitle = {Color Imaging X: Processing, Hardcopy, and Applications},
  address = {San Jose, California},
  month = {Jan},
  year = {2005},
  pages = {65-75},
  note = {ISBN / ISSN: 0-8194-5640-3}
}
Abstract: In this study we investigate the feasibility of using an inexpensive webcam to correct the projection display non-uniformity. Two main approaches are proposed and evaluated, the colorimetric characterization and the global characterization. Both approaches are based on displaying images, which should ideally have uniform color distribution, capturing the displayed image with the webcam, and using this captured image, creating a correction function, which is then applied to images in order to, correct them. Our results show that the feasibility of the proposed methods depends a lot on the qualities of the equipment involved. For standard webcams it is generally difficult to obtain reliable device-independent color measurements needed for the colorimetric characterization.
BibTeX:
@inproceedings{Menu2005,
  author = {Gabrielle Menu and Loic Peigne and Jon Yngve Hardeberg and Pierre Gouton},
  title = {Correcting projection display nonuniformity using a webcam},
  booktitle = {Color Imaging X: Processing, Hardcopy, and Applications},
  address = {San Jose, California},
  month = {Jan},
  year = {2005},
  pages = {364-373},
  note = {ISBN / ISSN: 0-8194-5640-3}
}
Abstract: Recently the use of projection displays has increased dramatically in different applications such as digital cinema, home theatre, and business and educational presentations. Even if the color image quality of these devices has improved significantly over the years, it is still a common situation for users of projection displays that the projected colors differ significantly from the intended ones. This study presented in this paper attempts to analyze the color image quality of a large set of projection display devices, particularly investigating the variations in color reproduction. As a case study, a set of 14 projectors (LCD and DLP technology) at Gjøvik University College have been tested under four different conditions: dark and light room, with and without using an ICC-profile. To find out more about the importance of the illumination conditions in a room, and the degree of improvement when using an ICC-profile, the results from the measurements was processed and analyzed. Eye-One Beamer from GretagMacbeth was used to make the profiles. The color image quality was evaluated both visually and by color difference calculations. The results from the analysis indicated large visual and colorimetric differences between the projectors. Our DLP projectors have generally smaller color gamut than LCD projectors. The color gamuts of older projectors are significantly smaller than that of newer ones. The amount of ambient light reaching the screen is of great importance for the visual impression. If too much reflections and other ambient light reaches the screen, the projected image gets pale and has low contrast. When using a profile, the differences in colors between the projectors gets smaller and the colors appears more correct. For one device, the average DelteE*ab color difference when compared to a relative white reference was reduced from 22 to 11, for another from 13 to 6. Blue colors have the largest variations among the projection displays and makes them therefore harder to predict.
BibTeX:
@inproceedings{Strand2005a,
  author = {Monica Strand and Jon Yngve Hardeberg and Peter Nussbaum},
  title = {Color image quality in projection displays: a case study},
  booktitle = {Image Quality and System Performance II},
  address = {San Jose, California},
  month = {Jan},
  year = {2005},
  pages = {185-195},
  note = {ISBN / ISSN: 0-8194-5641-1}
}
BibTeX:
@inproceedings{Alsam2005b,
  author = {Ali Alsam and David Connah},
  title = {Recovering Natural Reflectances with Convexity},
  booktitle = {Proceedings of the 10th Congress of the International Colour Association},
  address = {Granada, Spain},
  year = {2005},
  pages = {1677-1680},
  note = {ISBN 84-609-5164-2}
}
BibTeX:
@article{Cheung2005,
  author = {Vien Cheung and Changjun Li and Stephen Westland and Jon Yngve Hardeberg and David Connah},
  title = {Characterization of trichromatic color cameras using a new multispectral imaging technique},
  journal = {Journal of Optical Society of America A},
  year = {2005},
  volume = {22},
  number = {7},
  pages = {1231-1240}
}
BibTeX:
@inproceedings{Finlayson2005,
  author = {Graham Finlayson and Ali Alsam},
  title = {Optimal Reduction of Calibration Charts by Integer Programming},
  booktitle = {Proceedings of the 10th Congress of the International Colour Association},
  address = {Granada, Spain},
  year = {2005},
  pages = {1215-1218},
  note = {ISBN 84-609-5164-2}
}
BibTeX:
@inproceedings{Gerhardt2005,
  author = {Jeremie Gerhardt and Jon Yngve Harderberg},
  title = {Spectral vector error diffusion},
  booktitle = {Second Gjøvik Color Symposium},
  year = {2005}
}
BibTeX:
@article{Hardeberg2005b,
  author = {Jon Yngve Hardeberg},
  title = {Colorimetric Scanner Characterization},
  journal = {Acta Graphica},
  year = {2005}
}
BibTeX:
@inproceedings{Hardeberg2005,
  author = {Jon Yngve Hardeberg and Jeremie Gerhardt},
  title = {Caracterisation spectrale d'un systeme d'impression jet d'encre huit encres},
  booktitle = {Revue Traitement du Signal},
  year = {2005},
  volume = {21}
}
BibTeX:
@article{Hornaes2005,
  author = {Hans Petter Hornæs and Jan Henrik Wold and Ivar Farup},
  title = {Colorimetry and prime colours - a theorem},
  journal = {Journal of Mathematical Biology},
  year = {2005},
  volume = {51},
  number = {2},
  pages = {144-156}
}
Abstract: Solving for a camera's sensors based on its response to the surfaces of a calibration target is an ill-conditioned problem with an infi nite number of possible solutions. To obtain a stable estimate we need to control the solution space by constraining the sensors to match some known physical characteristics e. g. sensors are normally constrained to be positive. The use of constraints limits the uncertainty encountered in sensor recovery and results in im-proved estimates. Unfortunately, it is not possible to know which exact constraints should be used in recovering an unknown sensor. In this paper we present a method to estimate the support (the region where the sensor's sensitivity is not zero) of a sensor prior to recovering it. If the sensor's support is limited this constraint is very stringent and imposing it on the solution space results in a clear reduction in the uncertainty encountered in the solution. In the results section we show that it is indeed possible to recover a sensor's bandwidth based on its response to a set of reflectances.
BibTeX:
@inproceedings{Alsam2004a,
  author = {Ali Alsam and Graham Finlayson},
  title = {Estimating the Bandlimits of an Unknown Sensor},
  booktitle = {Twelfth Color Imaging Conference: Color Science and Engineering Systems, Technologies, Applications},
  address = {Scottsdale, AZ},
  month = {Nov},
  year = {2004},
  pages = {217-222},
  note = {ISBN / ISSN: 0-89208-254-2}
}
Abstract: The gamut of a colour space is defi ned by a number of extreme points. The best inks to achieve an accurate spectral reproduction of a given target are those which span the tar-get's spectral gamut. Using a modi fied non-negative matrix factorization (NMF) algorithm we derive m colorants and their spectral curves such that they are the extreme points of the targets gamut. Using the spectral Neugebauer printing model where eight colorants are assumed we com-pare our new method with existing techniques. Comparison with a set of optimal rotated principal vectors as well as the classical NMF clearly shows that the performance of the new method is superior.
BibTeX:
@inproceedings{Alsam2004,
  author = {Ali Alsam and Jon Yngve Hardeberg},
  title = {Optimal Colorant Design for Spectral Colour Reproduction},
  booktitle = {Twelfth Color Imaging Conference: Color Science and Engineering Systems, Technologies, Applications},
  address = {Scottsdale, AZ},
  month = {Nov},
  year = {2004},
  pages = {157-162},
  note = {ISBN / ISSN: 0-89208-254-2}
}
Abstract: The surface reflectance functions of natural and man made surfaces are invariably smooth. It is desirable to exploit this smoothness in a multispectral imaging system by us-ing as few sensors as possible to capture and reconstruct the data. In this paper we investigate the minimum num-ber of sensors to use, whilst also minimising reconstruc-tion error. We do this by deriving different numbers of optimised sensors, constructed by transforming the char-acteristic vectors of the data, and simulating reflectance recovery with these sensors in the presence of noise. We find an upper limit to the number of optimised sensors one should use, above which the noise prevents decreases in error. For a set of Munsell reflectances, captured under educated levels of noise, we find that this limit occurs at approximately 9 sensors.
BibTeX:
@inproceedings{Connah2004,
  author = {David Connah and Ali Alsam and Jon Yngve Hardeberg},
  title = {Multispectral Imaging: How Many Sensors Do We Need?},
  booktitle = {Twelfth Color Imaging Conference: Color Science and Engineering Systems, Technologies, Applications},
  address = {Scottsdale, AZ},
  month = {Nov},
  year = {2004},
  pages = {53-58},
  note = {ISBN / ISSN: 0-89208-254-2}
}
Abstract: The SGCK gamut mapping algorithm suggested by CIE TC8-03 has been enhanced by introducing a two-step procedure. Firstly, SGCK is used for gamut mapping the image onto a convex hull representation of the reproduction gamut. The resulting image is then further mapped onto a more realistic representation of the reproduction gamut using hue- angle preserving minimum �?Žâ�?�� E *a b clipping. Panel testing with fifteen test persons, six different test images, and two different printers shows that this technique gives significantly better results than SGCK.
BibTeX:
@inproceedings{Farup2004a,
  author = {Ivar Farup and Jon Yngve Hardeberg and Morten Amsrud},
  title = {Enhancing the {SGCK} Colour Gamut Mapping Algorithm},
  booktitle = {CGIV 2004 -- Second European Conference on Color in Graphics, Imaging and Vision},
  address = {Aachen, Germany},
  month = {Apr},
  year = {2004},
  pages = {520-524},
  note = {ISBN / ISSN: 0-89208-250-X}
}
Abstract: The experimental setup of a 8-channel inkjet printing system intended for spectral color reproduction is proposed. A spectral model of the printer based on the Yule-Nielsen modified spectral Neugebauer equation is presented, discussed, and evaluated experimentally. Although the spectral and colorimetric precision of the printer model leaves room for improvement, the presented research forms an interesting foundation for further research in the field of spectral color reproduction.
BibTeX:
@inproceedings{Hardeberg2004,
  author = {Jon Yngve Hardeberg and Jeremie Gerhardt},
  title = {Characterization of an Eight Colorant Inkjet System for Spectral Color Reproduction},
  booktitle = {CGIV 2004 -- Second European Conference on Color in Graphics, Imaging and Vision},
  address = {Aachen, Germany},
  month = {Apr},
  year = {2004},
  pages = {263-267},
  note = {ISBN / ISSN: 0-89208-250-X}
}
Abstract: The quality of a multispectral color image acquisition system depends on many factors, the spectral sensitivity of the different channels being one of them. In a relatively common setup, a multispectral camera is being implemented by coupling a monochrome digital camera with a set of optical filters, typically mounted on a filter wheel. The properties of these filters is an important component of the system design. Different methods have been proposed for the design or selection of appropri ate filters. In this article we review several methods used for selection of an optimal subset of filters from a set of available filters. The different filter selection meth ods are subjected to a comprehensive evaluation procedure, in which their quality is evaluated mainly in terms of the ability of the resulting system to reconstruct scene spectral reflectances.
BibTeX:
@article{Hardeberg2004a,
  author = {Jon Yngve Hardeberg},
  title = {Filter Selection for Multispectral Color Image Acquisition},
  month = {Mar/Apr},
  journal = {The Journal of Imaging Science and Technology},
  year = {2004},
  volume = {48},
  number = {2},
  pages = {105-110},
  note = {ISBN / ISSN: 1062-3701}
}
BibTeX:
@inproceedings{Alsam2004b,
  author = {Ali Alsam and Jon Yngve Hardeberg},
  title = {Smoothing Jagged Spectra for Accurate Spectral Sensitivities Recovery},
  booktitle = {Proc. International Conference on Computer Vision and Graphics},
  year = {2004}
}
BibTeX:
@inproceedings{Alsam2004c,
  author = {Ali Alsam and Jon Yngve Hardeberg},
  title = {Metamer Set Based Measures of Goodness for Colour Cameras},
  booktitle = {Proc. International Conference on Computer Vision and Graphics},
  year = {2004}
}
BibTeX:
@conference{Bando2004,
  author = {Eriko Bando and Jon Yngve Hardeberg and David Connah and Ivar Farup},
  title = {Predicting visible image degradation by colour image difference formulae},
  booktitle = {The 5th International Conference on Imaging Science and Hardcopy, volume 25 of Chinese Journal of Scientific Instrument,},
  address = {China},
  year = {2004},
  pages = {121-124}
}
BibTeX:
@techreport{Farup2004b,
  author = {Ivar Farup and Jon Yngve Hardeberg.},
  title = {Colour calibration of an electronic camera system for object recognition.},
  year = {2004}
}
Abstract: In the last decades, CRT monitors have proved powerful in vision and imaging research. However, since the color stimuli that can be generated on a monitor are restricted to linear combinations of the characteristic spectra of the three screen phosphors, the possibility of generating both metamers and near spectral stimuli is eliminated. A way to overcome these shortcomings is to construct a spectral integrator. A spectral integrator consists of a lamp whose light is spread out into a spectrum by means of a prism. The spectrum is filtered by masking out certain fractions of the light in the different parts of the spectrum, and the remaining spectrum is then integrated into a colored light source, which is projected onto a dispersing plate. In our case, the masking is performed by the use of a transmissive LCD display controlled by a computer. Attached to the computer is also a spectroradiometer that measures the resulting stimulus. Thus, the spectral integrator, including the computer and the spectroradiometer, forms a closed-loop system. By inserting a biprism immediately after the dispersing prism, two color spectra may be projected onto the LCD display, thus producing a bipartite field suitable for color-matching experiments. Since the apparatus is computer controlled, extensive experimental studies can be performed. A major future application of this is the verification of the assumed linearity that found the basis of standard colorimetry. Of particular interest will be an investigation of the transformability of color-matching functions - a main concern of the CIE technical committee TC1-56. Color-matching experiments can also be undertaken for studying metamerism and adaptation, which in turn can provide important input to color appearance modeling. For the adaptation experiments, the apparatus has a second LCD controlled light channel, which can be used for generating a spectrally adjustable annulus surrounding the bipartite field. For the more technical matters, the apparatus will have important applications within the field of imaging, serving e.g. as a light source for multispectral image acquisition, or for spectral characterization of digital cameras. Furthermore, the spectral integrator can be applied for engineering purposes such as characterization of solar cell panels. However, the main problem to be solved for all these applications, is the generation of stimuli of arbitrary given spectral power distributions. This has been solved by means of a computational calibration routine: First, the positions of the spectra on the LCD panel are determined using a variant of a binary search. Thereafter, vertical lines of pixels within the spectral window of the LCD display are opened successively and the resulting spectral power distribution on the dispersing plate measured. A similar procedure for the horizontal lines gives, under certain assumptions, the contribution from each opened pixel. Using these, a stimulus of any spectral power distribution can be generated by means of a fast iterative algorithm developed particularly for the purpose. Due to its computerized control, the spectral integrator will apparently make feasible color experiments that were previously out of reach.
BibTeX:
@inproceedings{Farup2004,
  author = {Ivar Farup and Thorstein Seim and Jan Henrik Wold and Jon Yngve Hardeberg},
  title = {Generating stimuli of arbitrary spectral power distributions for vision and imaging research},
  booktitle = {Human Vision and Electronic Imaging IX},
  address = {San Jose, California},
  year = {2004},
  pages = {69-79},
  note = {ISBN / ISSN: 0-8194-5195-9}
}
BibTeX:
@conference{Hardeberg2003b,
  author = {Jon Yngve Hardeberg and Ivar Farup and Gudmund Stjernvang},
  title = {Digital cinema commercials in Norway, is the quality good enough?},
  booktitle = {The SMPTE International Conference, D-Cinema and Beyond},
  address = {Milano, Italy},
  month = {Nov},
  year = {2003}
}
Abstract: This study aims to investigate factors affecting the appearance of print on both opaque and transparent substrates. In particular it looks at factors from five categories: the digital input, the printing system, the print, the illumination under which the print is viewed and the viewing environment in which it is viewed. The key method underlying the work described here relies on identifying a range of factors in these categories and having alternative states for each factor, e.g., the substrate factor can be plain paper,glossy paperor newsprint. A reference state is then defined for each factor and alternative states are compared with the reference one factor at a time. The comparison is in terms of color differences between patches of a test chart obtained in the reference and an alternative state. The results for factors are then viewed both individually and by grouping all factors of a given category together. Finally the results indicate the magnitude of the change that can be expected due to a given factor or category and this makes it possible to order factors in terms of the magnitude of visual difference they can cause when altered. Having such an ordered list is then of use both in improving printing systems and in dealing with customer service queries.
BibTeX:
@article{Morovic2003,
  author = {Jan Morovic and Peter Nussbaum},
  title = {Factors Affecting the Appearance of Print on Opaque and Transparent Substrates},
  month = {Nov/Dec},
  journal = {The Journal of Imaging Science and Technology},
  year = {2003},
  volume = {47},
  number = {6},
  pages = {554-564},
  note = {ISBN / ISSN: 1062-3701}
}
Abstract: The quality of a multispectral color image acquisition system depends on many factors, the spectral sensitivity of the different channels being one of them. In a relatively common setup a multispectral camera is being implemented by coupling a monochrome digital camera with a set of optical filters, typically mounted on a filter wheel. The properties of these filters is an important component of the system design.

Different methods have been proposed for the design or selection of appropriate filters. In this paper we review several methods used for selection of an optimal subset of filters from a set of available filters. The different filter selection methods are subjected to a comprehensive evaluation procedure, in which their quality is evaluated mainly in terms of the ability of the resulting system to reconstruct scene spectral reflectances.

BibTeX:
@conference{Hardeberg2003a,
  author = {Jon Y.ngve Hardeberg},
  title = {Filter Selection for Multispectral Color Image Acquisition},
  booktitle = {PICS 2003: The PICS Conference, An International Technical Conference on The Science and Systems of Digital Photography, including the Fifth International Symposium on Multispectral Color Science},
  address = {Rochester, NY},
  month = {May},
  year = {2003},
  pages = {177-182},
  note = {ISBN / ISSN: 0-89208-245-3}
}
BibTeX:
@inproceedings{Hardeberg2003,
  author = {Jon Yngve Hardeberg and Lars Seime and Trond Skogstad},
  title = {Colorimetric characterization of projection displays using a digital colorimetric camera},
  booktitle = {Projection Displays IX (Proceedings of SPIE/IS\&T Volume 5002)},
  address = {Santa Clara, CA},
  month = {Mar},
  year = {2003},
  pages = {51-61},
  note = {ISBN / ISSN: 0-8194-4802-8}
}
BibTeX:
@inproceedings{Fredembach2003,
  author = {C. Fredembach and M.l Schroder and S. Susstrunk},
  title = {Region-Based Image Classification for Automatic Color Correction},
  booktitle = {IS\&T 11th Color Imaging Conference},
  year = {2003},
  pages = {59--65}
}
BibTeX:
@techreport{Hardeberg2003c,
  author = {Jon Yngve Hardeberg and Ivar Farup and Gudmund Stjernvang},
  title = {Proceedings from Gjøvik Color Imaging Symposium 2003},
  year = {2003}
}
Abstract: Several tools and techniques for the visualization of color gamuts have been presented in the past.We present a short survey on the topic,and conclude that tools with the possibility for interactive color adjustment in some color space are almost absent.Therefore,a new tool which combines the known techniques with the possibility of interactive gamut mapping is presented along with suggestions for future work.The motivation for developing the new tool is threefold:First,it will serve as an important pedagogical tool in the teaching of color engineering.Secondly,we believe that the tool will prove helpful in research related to color reproduction.Finally,we hope that the tool can be used in the production of high quality color images in the future.
BibTeX:
@inproceedings{Farup2002,
  author = {Ivar Farup and Jon Yngve Hardeberg and Arne Magnus Bakke and Ståle Kopperud and Anders Rindal},
  title = {Visualization and Interactive Manipulation of Color Gamuts},
  booktitle = {Tenth Color Imaging Conference: Color Science and Engineering Systems, Technologies, Applications},
  address = {Scottsdale, Arizona, USA},
  month = {Nov},
  year = {2002},
  pages = {250-255},
  note = {ISBN / ISSN: 0-89208-241-0}
}
Abstract: Successful colour management of projection systems depends on knowledge of their characteristics. In this study, two typical portable projectors have been characterised. The two projectors are based on different technologies, Liquid Crystal Display (LCD) and Digital Light Processing (DLP). Measurements were made with a spectroradiometer.

The LCD projector showed good colour additivity. The luminance difference between the sum of primaries and white was 0.33% after correction of the black level. The corresponding value for the DLP projector was 56%. This is due to a non-filtering segment in the filter wheel.

The inter-channel dependency was calculated. The LCD projector showed good independence. For the DLP projector, the additional segment complicates the interpre-tation of the calculated values.

Measurements of the signal input-output relationship have been made. The LCD projector showed a power function response, while the DLP projector showed an S-shaped response. Neither of these are native responses of the projectors, so this is probably a deliberate design.

The chromaticity changes of primary colours and grey depending on the input signal were measured. The chromaticity constancy was poor for both projectors. It was shown that the relatively high black luminance is the dom-inant reason for this.

The spatial uniformity was surprisingly poor. Measurements revealed uniformities down to 20% and 30% for the DLP and the LCD projector, respectively.

Our tests showed that both the intensity and the colour of the background influenced the displayed colour. The average colour differences were found to be Delta E ab =4.83 for the LCD and Delta E ab =2.94 for the DLP projector.

BibTeX:
@inproceedings{Seime2002,
  author = {Lars Seime and Jon Yngve Hardeberg},
  title = {Characterisation of LCD and DLP Projection Displays},
  booktitle = {Tenth Color Imaging Conference: Color Science and Engineering Systems, Technologies, Applications},
  address = {Scottsdale, Arizona, USA},
  month = {Nov},
  year = {2002},
  pages = {277-282},
  note = {ISBN / ISSN: 0-89208-241-0}
}
BibTeX:
@conference{Farup2002a,
  author = {Ivar Farup and Jon Yngve Hardeberg},
  title = {Interactive color gamut mapping.},
  booktitle = {The 11th International Printing and Graphics Arts Conference},
  address = {Bordeaux, France},
  month = {Oct},
  year = {2002}
}
BibTeX:
@inproceedings{Hardeberg2002c,
  author = {Jon Yngve Hardeberg and Ivar Farup and Øyvind Kolåss and Gudmund Stjernvang},
  title = {Color management for digital video: Color correction in the editing phase.},
  booktitle = {29th International iarigai Research Conference. Proceedings: Advances in Graphic Arts \& Media Technology},
  address = {Lucerne, Switzerland},
  month = {Sep},
  year = {2002}
}
Abstract: The current paper provides methods to correct the artifact known as "red eye" by means of digital color image processing.This artifact is typically formed in amateur photographs taken with a built-in camera flash.To correct red eye artifacts,an image mask is computed by calculating a colorimetric distance between a prototypical reference �?¢â�??¬�?�??red eye�?¢â�??¬ï¿½color and each pixel of the image containing the red eye.Various image processing algorithms such as thresholding,blob analysis,and morphological filtering, are applied to the mask,in order to eliminate noise,reduce errors,and facilitate a more natural looking result.The mask serves to identify pixels in the color image needing correction,and further serves to identify the amount of correction needed. Pixels identified as having red eye artifacts are modified to a substantially monochrome color,while the bright specular reflection of the eye is preserved.
BibTeX:
@article{Hardeberg2002b,
  author = {Jon Yngve Hardeberg},
  title = {Digital Red Eye Removal},
  month = {Jul/Aug},
  journal = {The Journal of Imaging Science and Technology},
  year = {2002},
  volume = {46},
  number = {4},
  pages = {375-379},
  note = {ISBN / ISSN: 1062-3701}
}
Abstract: How many components are needed to represent the spectral reflectance of a surface?What is the dimension of a spectral reflectance?How many image channels are needed for the acquisition of a multispectral colour image? Such and similar questions have been discussed extensively in the literature.We have done a survey of the literature concerning this topic,and have seen that there is a large variation in the answers.We propose a method to quantify the effective dimension of a set of spectral re- . ectances.The method is based on a Principal Component Analysis,and in particular on specific requirements for the accumulated energy of the principal components. We apply the analysis to . ve different databases of spectral re . ectances,and conclude that they have very different statistical properties.The effective dimension of a set of Munsell colour spectra is found to be 18,that of a set of natural object re . ectances 23,while the effective dimension of a set of re . ectances of pigments used in oil painting was only 13.
BibTeX:
@inproceedings{Hardeberg2002,
  author = {Jon Yngve Hardeberg},
  title = {On the Spectral Dimensionality of Object Colors},
  booktitle = {The First European Conference on Color in Graphics, Imaging and Vision (CGIV)},
  address = {Poitiers, France},
  month = {Apr},
  year = {2002},
  pages = {480-485},
  note = {ISBN / ISSN: 0-89208-239-9}
}
Abstract: Color image quality is becoming an increasingly important factor in the consumer imaging industry.Users of imaging devices such as Multi-Function Peripherals (MFP)have increasing expectations to the quality of the reproduced images.In this paper we address the subject of color image quality from a practical point of view,and from the point of view of a provider of imaging technology for consumer MFPs.We show how the notion of color image quality is ultimately tied to the preferences of the end users.Because of this,practical quality evaluation experiments involving a panel of human observers is a very useful tool to quantify color image quality.As an illustration,we then describe a color image quality evaluation experiment,which was carried out in order to benchmark the copy function of two MFP devices.
BibTeX:
@conference{Hardeberg2002a,
  author = {Jon Yngve Hardeberg},
  title = {Color Image Quality for Multi-Function Peripherals},
  booktitle = {PICS 2002: IS\&T's PICS Conference, An International Technical Conference on Digital Image Capture and Associated System, Reproduction and Image Quality Technologies},
  address = {Portland, Oregon, USA},
  month = {Apr},
  year = {2002},
  pages = {76-81},
  note = {ISBN / ISSN: 0-89208-238-0}
}

Please report errors to Marius Pedersen. Created by JabRef on 06/07/2010.