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Jean-Baptiste Thomas. Colorimetric characterization of displays and multi-display systems. Université de bourgogne, Oct, 2009. [BibTeX] |
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BibTeX:
@phdthesis{Thomas2009,
author = {Jean-Baptiste Thomas},
title = {Colorimetric characterization of displays and multi-display systems},
month = {Oct},
school = {Université de bourgogne},
year = {2009}
}
|
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Sebastien Ajagamelle. ANALYSIS OF THE DIFFERENCE OF GAUSSIANS MODEL IN PERCEPTUAL IMAGE DIFFERENCE METRICS. Master thesis Gjø vik University College and Grenoble Institute of Technology, 2009. [Abstract] [BibTeX] [URL] |
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| Abstract: In this report we are going to develop and analyze two new image difference metrics. We will focus on the SCIELABJOHNSON framework and in particular on the spatial filtering, which will be substituted by the Difference of Gaussians model. Two research questions have been formulated as the basis for this thesis: • How can we improve existing image difference metrics ? • What is the performance of the Difference of Gaussians model in image difference metrics ? A first test on a set of gamut mapped images will give an idea of the performance in correlation of the two metrics. A second experiment will be performed on images with single and multiple variations of contrast, lightness, and saturation. The performance in correlation will be given using data from a psychophysical experiment. Results will show that the proposed metrics have a low performance on the dataset of gamut mapped images and they do not seem to be appropriate for the second dataset as well. We will also demonstrate through the experiments the importance of spatial filtering for color image difference metrics, and also that the configuration of these two metrics should change according to the type of distorted images to ensure better performance. |
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BibTeX:
@mastersthesis{Ajagamelle2009,
author = {Sebastien Ajagamelle},
title = {ANALYSIS OF THE DIFFERENCE OF GAUSSIANS MODEL IN PERCEPTUAL IMAGE DIFFERENCE METRICS},
school = {Gj\o vik University College and Grenoble Institute of Technology},
year = {2009},
url = {http://colorlab.no/content/download/25454/270990/file/Sebastien_Ajagamelle_Master_thesis.pdf}
}
|
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|
Valentina Caracciolo. Just Noticeable Distortion evaluation in color images. Gjøvik University College and Roma Tre University, 2009. [BibTeX] [URL] |
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BibTeX:
@mastersthesis{Caracciolo2009,
author = {Valentina Caracciolo},
title = {Just Noticeable Distortion evaluation in color images},
school = {Gjøvik University College and Roma Tre University},
year = {2009},
url = {http://colorlab.no/content/download/25901/274793/file/Caracciolo2009_Master_Thesis.pdf}
}
|
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|
Clementine Moutou. Consequence of using a number of different colour measurement instruments in particular for emission purpose. Master thesis Gjø vik University College and Grenoble Institute of Technology, 2009. [Abstract] [BibTeX] [URL] |
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| Abstract: As monitors are the only way to see a picture before printing, all the monitors along the graphic chain should give the same representation of this picture (in terms of colour, contrast,...). This is possible only by profiling each monitor. Nowadays the use of instruments to make the profile of a monitor in the graphic industry is something common. Different kinds of instruments are available: colorimeter, spectrophotometer and spectroradiometer. Although they use different technologies, we expect them to give the same results (usually the L*a*b* coordinate) for a same colour. In this thesis we compared different instruments (colorimeters and spectrophotometers) interm of repeatability, reproducibility, precision and accuracy | |||||
BibTeX:
@mastersthesis{Moutou2009,
author = {Clementine Moutou},
title = {Consequence of using a number of different colour measurement instruments in particular for emission purpose},
school = {Gj\o vik University College and Grenoble Institute of Technology},
year = {2009},
url = {http://colorlab.no/content/download/25453/270987/file/Clementine_Moutou_Master_thesis.pdf}
}
|
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|
Barbora Kominkova. Comparison of two eye tracking devices used on printed images. Master thesis Gjøvik University College and University of Pardubice, 2008. [BibTeX] [URL] |
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BibTeX:
@mastersthesis{Kominkova2008,
author = {Barbora Kominkova},
title = {Comparison of two eye tracking devices used on printed images},
school = {Gjøvik University College and University of Pardubice},
year = {2008},
url = {http://www.colorlab.no/content/download/21931/215638/file/Bara_Kominkova_Master_thesis.pdf}
}
|
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|
Puneet Sharma. Perceptual Image Difference Metrics. Saliency Maps & Eye Tracking. Master thesis Gjøvik University College, 2008. [Abstract] [BibTeX] [URL] |
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| Abstract: Under natural viewing conditions humans tend to fixate on specific parts of the image that interests them naturally. Saliency map is the map of regions which are more prominent than other regions in terms of low level image properties such as intensity, color and orientation. With some modifications it can be used to simulate the natural human fixation also known as the gaze map. There are numerous applications in the field of engineering, marketing and art that can benefit from understanding of human visual fixation such as image quality evaluation, label design etc. The objective of this research is to understand the factors that influence the saliency map and gaze map and to modify the saliency map in order to make it similar to the gaze map. Eye movements of 20 test subjects were captured using eye tracking equipment available in the lab. The gaze maps obtained were averaged and superimposed over the corresponding original images. Saliency map toolbox [Walther(2006)] was modified by addition of face detection [Sauquet et al.(2005)Sauquet, Rodriguez & Marcel]. The gaze maps were analyzed and compared with modified saliency maps. | |||||
BibTeX:
@mastersthesis{Sharma2008,
author = {Sharma, Puneet},
title = {Perceptual Image Difference Metrics. Saliency Maps \& Eye Tracking},
school = {Gjøvik University College},
year = {2008},
url = {http://www.colorlab.no/content/download/21940/215665/file/Puneet_Sharma_Master_thesis.pdf}
}
|
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|
Fabienne Dugay. Perceptual evaluation of colour gamut mapping algorithms. Master thesis Gjø vik University College and Grenoble Institute of Technology, 2007. [BibTeX] [URL] |
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BibTeX:
@mastersthesis{Dugay2007,
author = {Fabienne Dugay},
title = {Perceptual evaluation of colour gamut mapping algorithms},
school = {Gj\o vik University College and Grenoble Institute of Technology},
year = {2007},
url = {http://www.colorlab.no/content/download/21934/215647/file/Fabienne_Dugay_Master_thesis.pdf}
}
|
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|
Jeremie Gerhardt. Spectral Color Reproduction: Model Based and Vector Error Diffusion Approaches. PhD thesis Ecole Nationale Superieure des Telecommunications and Gjøvik University College, 2007. [BibTeX] [URL] |
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BibTeX:
@phdthesis{Gerhardt2007,
author = {Jeremie Gerhardt},
title = {Spectral Color Reproduction: Model Based and Vector Error Diffusion Approaches},
school = {Ecole Nationale Superieure des Telecommunications and Gjøvik University College},
year = {2007},
url = {http://www.tsi.enst.fr/publications/enst/phdthesis-2007-7849.pdf}
}
|
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|
Damien Lefloch. People counting based on video analysis. Master thesis Gjøvik University College and University de Bourgogne, 2007. [BibTeX] [URL] |
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BibTeX:
@mastersthesis{Lefloch2007,
author = {Damien Lefloch},
title = {People counting based on video analysis},
school = {Gjøvik University College and University de Bourgogne},
year = {2007},
url = {http://www.colorlab.no/content/download/21981/216266/file/Damien_Lefloch_Master_thesis.pdf}
}
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Espen Bårdsnes Mikalsen. Verification and extention of a camera based calibration method for projector displays. Master thesis Gjøvik University College, 2007. [Abstract] [BibTeX] [URL] |
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| Abstract: In the everyday use of projection displays devices calibration is rarely a considered issue. This can lead to a projected result that widely diverts from the intended appearance. In 2006 Raja Bala and Karen Braun presented a camera based calibration method for projection displays. This method aims to easily achieve a quick and decent calibration with only the use of a consumer digital photo camera. In this masters thesis the method has been implemented and investigated. The first goal was to investigate the methods performance, and thereby possibly verify and justify the use of this method. Secondly extensions were added to the method with the aim to improve method performance. Though some factors in the method have been found troublesome, the method is confirmed to work quite well. But experiments show that this calibration approach might be more effective for some projection displays then others. When adding extensions to this method it enhanced performance results even further. And a extended version of the original model gives the best results in the experiments performed. Conclusions have been drawn on the basis of numeric and visual evaluations. | |||||
BibTeX:
@mastersthesis{Mikalsen2007,
author = {Espen Bårdsnes Mikalsen},
title = {Verification and extention of a camera based calibration method for projector displays},
school = {Gjøvik University College},
year = {2007},
url = {http://www.colorlab.no/content/download/21932/215641/file/Espen_Mikalsen_Master_thesis.pdf}
}
|
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Ondrej Panak. Color matching under soft-proofing conditions. Master thesis Gjøvik University College and University of Pardubice, 2007. [BibTeX] |
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BibTeX:
@mastersthesis{Panak2007,
author = {Panak, Ondrej},
title = {Color matching under soft-proofing conditions},
school = {Gjøvik University College and University of Pardubice},
year = {2007}
}
|
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|
Steffen Paul. Color management in digital intermediate movie production. Master thesis Gjøvik University College & Mittweida University of Applied Sciences, 2007. [BibTeX] |
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BibTeX:
@mastersthesis{Paul2007,
author = {Steffen Paul},
title = {Color management in digital intermediate movie production},
school = {Gjøvik University College \& Mittweida University of Applied Sciences},
year = {2007}
}
|
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|
Marius Pedersen. Importance of region-of-interest on image difference metrics. Master thesis Gjøvik University College, 2007. [Abstract] [BibTeX] [URL] |
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| Abstract: Many image difference metrics have been developed in the last 4 decades. All of these metrics are constructed to predict perceived image difference, but none have been successful. When we rate image difference we look at different areas in the image, based on the difference in these areas we make a decision of the perceived difference. Information about what draws attention and how we examine images can be used to improve image difference metrics. This research project investigates the importance of region-of-interest on image difference metrics. Region-of-interest has been extracted by using an eye tracker, but also by manual marking by the observers. 3 different tasks were performed by the observers while their gaze position was recorded. Further a manual marking of region-of-interest together with a questionnaire to map background knowledge was carried out. The information found on how we perceive and examine images has been applied to different image difference metrics, such as deltaEab, S-CIELAB, iCAM, SSIM and the hue angle algorithm. The issues regarding how observers look at images given different tasks are also discussed and analyzed. The results indicate that region-of-interest improves image difference metrics, especially when the metrics already have a low performance in term of linear correlation between perceived and calculated difference. There are no clear evident that one type of region-of-interest outperform other types. The improvement in performance is therefore both scene and metric dependent. Results also show that observers have different areas of attention according the task given to them, as freeview, rating image difference and marking important regions. The common denominator within every task is faces, and this is clearly important in all tasks for the observers. Within areas of attention will change whether the observer is an expert or non-expert. |
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BibTeX:
@mastersthesis{Pedersen2007,
author = {Marius Pedersen},
title = {Importance of region-of-interest on image difference metrics},
school = {Gjøvik University College},
year = {2007},
url = {http://www.colorlab.no/content/download/21937/215656/file/Marius_Pedersen_Master_thesis.pdf}
}
|
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|
Siavash A. Renani. Projection onto a textured wall. Master thesis Gjøvik University College, 2007. [BibTeX] [URL] |
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BibTeX:
@mastersthesis{Renani2007,
author = {Siavash A. Renani},
title = {Projection onto a textured wall},
school = {Gjøvik University College},
year = {2007},
url = {http://www.colorlab.no/content/download/21941/215668/file/Siavash_Renani_Master_thesis.pdf}
}
|
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|
Hans Christian Sagbakken. Irisgjenkjenning under varierende forhold. Master thesis Gjøvik University College, 2007. [Abstract] [BibTeX] [URL] |
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| Abstract: Biometric systems refer to technologies that measure and analyze human physical characteristics. The most widely used characteristics are extracted from fingerprints, irises and retinas, facial patterns and hand measurements. Iris recognition is regarded as the most reliable biometric of these characteristics. Nowadays, most of the commercial iris-based identification systems use algorithms developed by Daugman. The Daugman advertised recognition rate are excellent. They are however, very likely measure under ideal conditions. Our main goal in this work is to test Daugman and other filtering algorithms proposed in the literature under varying conditions and compare their performances. This document describes the work done for the master thesis during the spring 2007. The thesis focuses on iris-based identification under various conditions. The aim of this project is to examine under which conditions iris recognition is possible, and which filtering algorithm performs best under each unfavorable condition. The iris recognition process usually consists of four major steps. The first step is to segment the iris out of the image containing the eye and part of the face, which localizes the iris pattern. Step two is the normalization, here the iris pattern will be extracted and scaled to a predefined size. Step tree is the encoding phase, here the details of the iris are filtered, extracted and represented in an iris code. The last step is the comparison, where two iris codes will be compared and a similarity score is computed. In this thesis we have focused on the encoding and filter algorithms, in step tree, under different unfavorable conditions. We used the open source code of Libor Masek and extend it with different filtering algorithms. The filters which were included in the analysis are: two Haar filter, one Log-Gabor filter and one Laplacian of Gaussian filter; which generate iris codes with sizes 702 bit, 87 bit, 9600 bit and 9600 bit respectively. The filtering algorithms have been tested using a database of 500 iris images. The images in the database have been corrupted using different degradation models. We used four different degradation models: additive Gaussian noise and blur, changing the light intensity and rotating the images. Two performance measures were used: the False Acceptance Rate (FAR) and False Rejection Rate (FRR). The first is estimated using inter-class comparisons while the second is estimated using intra-class comparisons. The total number of comparisons performed in the experiments are approximately seven million comparisons. Based on the experimental results we obtained in this work, we can conclude that the performance of all the tested algorithms is dramatically affected by the degradations. The major cause of the performance drop is the sensitivity of the segmentation process to such degradations. These degradations introduce segmentation errors in many of the images. The experimental results also show that the Log-Gabor and Laplacian of Gaussian filters are best under optimal conditions. Under non-optimal conditions however, the Haar filter with 702 bit representation achieves close to best result under most of the degradation models. This maybe due to the fact that it extracts the iris characteristics based on fewer but most prominent details in the iris which are relatively more robust to degradations. |
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BibTeX:
@mastersthesis{Sagbakken2007,
author = {Hans Christian Sagbakken},
title = {Irisgjenkjenning under varierende forhold},
school = {Gjøvik University College},
year = {2007},
url = {http://www.hig.no/content/download/9054/122123/file/Sagbakken%20-%20Irisgjenkjenning%20under%20varierende%20forhold.pdf}
}
|
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|
Jon Anders Øvern. Film restoration using extended ACE. Master thesis Gjøvik University College, 2007. [BibTeX] |
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BibTeX:
@mastersthesis{Oevern2007,
author = {Jon Anders Øvern},
title = {Film restoration using extended ACE},
school = {Gjøvik University College},
year = {2007}
}
|
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|
Maria Sunde Wroldsen. Densitrometriske og planimetriske målinger av raster. Master thesis Gjøvik University College, 2006. [Abstract] [BibTeX] [URL] |
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| Abstract: Is there a relation between halftone measurements with densitometers (converted into tone value with the Murray-Davies-equation) and halftone measurements with dot meters in newspaper print? This is the basis for my thesis. The measuring devices used in this analysis are Spectrolino from GretagMacbeth (spectrophotometer used as a densitometer) and the dot meters CCDot (Centurfax/X-Rite), SpectroPlate (Techkon) and Lithocam (Troika Systems). Repeatability analysis was conducted for all of the measuring devices. The results indicated that Spectrolino was accurate according to industrial standards. All of the dot meters suffered from low repeatability in newspaper print. The measuring devices are separated into three combinations consisting of one dot meter and the densitometer (CCDot-Spectrolino, SpectroPlate-Spectrolino and Lithocam- Spectrolino). These combinations are analyzed separately. Using regression analysis the measurement data are fitted to second order polynomials. The results are given as estimates of the polynomial parameters, i.e. the polynomials give the relation between halftone measurements with one of the dot meters and halftone measurements with Spectrolino. The residuals between predicted and measured halftone values with Spectrolino are used to judge the suitability of the model. Due to the large uncertainty of the estimated parameters, the model do not accurately describe the relation. This is explained by the low repeatability for the dot meters in newspaper print. Factors that cause this low repeatability are emphasized in this report. Dot meters are not recommended for halftone measurements in newspaper print. | |||||
BibTeX:
@mastersthesis{Wroldsen2006,
author = {Maria Sunde Wroldsen},
title = {Densitrometriske og planimetriske målinger av raster},
school = {Gjøvik University College},
year = {2006},
url = {http://www.colorlab.no/content/download/21935/215651/file/Maria_Wroldsen_Master_thesis.pdf}
}
|
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|
Arne Magnus Bakke. Visualisering av multispektrale fargedata. Master thesis Gjøvik University College, 2005. [Abstract] [BibTeX] [URL] |
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| Abstract: People who have an interest in the field of color imaging, sometimes find that they need to work on the spectral power distributions of surface refiectances. Traditional color models and color spaces are unable to accurately take into account the effects that different illuminates have on the perception of the color of a surface, whereas spectral based calculations perform better at this task. The spectral power distributions are usually represented by samples taken at a number of wavelengths. Up to 31 components are used to describe a spectrum, in order to preserve the desired level of detail. The high dimensionality of such data sets is inconvenient, since people are unable to easily analyze such data with regard to certain questions. This includes the task of deciding whether a spectrum is reproducible on a given output device. We plan to introduce a method for the visualization of multispectral color gamuts (the set of colors that a device can reproduce), and analyze how this can be used to find the answer to such questions. In order to do this, we are going to take advantage of existing methods for simplifying sets of data, and review alternatives for the action of comparing spectral colors (spectral match). We expand the concept of reproducibility, and try to determine not only if a given spectral refiectance curve is within the spectral gamut of a device, but also to describe its position relative to the surface of the gamut. As a related result, we suggest a possible method for spectral gamut mapping. This refers to the process of mapping spectral refiectances (e.g. multispectral images) from a source to a specific device gamut, in order to reproduce it on a medium. | |||||
BibTeX:
@mastersthesis{Bakke2005,
author = {Arne Magnus Bakke},
title = {Visualisering av multispektrale fargedata},
school = {Gjøvik University College},
year = {2005},
url = {http://www.colorlab.no/content/download/21930/215635/file/Arne_Magnus_Bakke_Master_thesis.pdf}
}
|
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|
Monica Strand. Karakterisering og profilering av projektorer. Master thesis Gjøvik University College, 2005. [Abstract] [BibTeX] [URL] |
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| Abstract: This is an analysis of how digital projector displays work under different conditions and lightning. Both the portable and the mounted projectors at Gjøvik University College have been tested under four different conditions: dark and light room with and without an ICC-profile. To find out more about the importance of the lightning conditions in a room and the level of improvement when using an ICC-profile, the results from the measuring was processed and analyzed. Eye-One Beamer was used to make the profile. Eye-One is a low cost product compared to spectroradiometers, which is commonly used when creating a profile for various equipments. The results from the analysis indicated great visual differences between the projectors. 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 canvas is of great importance for the visual impression. If to much reflections and other ambient light reach the canvas, 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. The color blue has the greatest variations among the projector displays and makes it harder to predict. Red and green have generally the same color gamut, but green is the most stabile one. | |||||
BibTeX:
@mastersthesis{Strand2005,
author = {Monica Strand},
title = {Karakterisering og profilering av projektorer},
school = {Gjøvik University College},
year = {2005},
url = {http://www.colorlab.no/content/download/21938/215659/file/Monica_Strand_Master_thesis.pdf}
}
|
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Øyvind Bjerkvik. Automatisk korreksajon av røde øyne i digitale bilder (Automatic redeye effect correction in digital images). Master thesis Gjøvik University College, 2004. [Abstract] [BibTeX] [URL] |
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| Abstract: When the bright light from a camera flash bulb hits the retina in the back of the eye, some of the light reflects and is colored red from the blodwessels. The red light can be seen as a glaring red dot in the face of the subject. This is a very common effect in amateur photography. The aim of this project is to locate and correct this effect, without user interaction on large sets of pictures without any knowledge of the image quality or composition. To locate red eyes one first looks for faces in the image. By looking at the color properties of skin, and methods described in research literature, one can to a certain degree segment out skin regions. Within these presumed skin regions, we search for areas with a high concentration of red, to locate the red eyes in the picture. Much of the difficulties lies in segmentation of red eyes from the rest of the picture. Like skin, red eyes has vaying color properties. When a red eye in located, the pixels in the located area are replaced with achromatic pixels, to give the pupil an as natural as possible look. This project report describes testing and evaluation of methods for detection and correction of red eyes, and combinations of methods to improve the technology. Tests showed that my methods did not produce satisfactory results. Much of the problems lays in edge detection to locate potential red eyes. | |||||
BibTeX:
@mastersthesis{Bjerkvik2004,
author = {Øyvind Bjerkvik},
title = {Automatisk korreksajon av røde øyne i digitale bilder (Automatic redeye effect correction in digital images)},
school = {Gjøvik University College},
year = {2004},
url = {http://www.colorlab.no/content/download/21939/215662/file/Oyvind_Bjerkvik_Master_thesis.pdf}
}
|
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|
Mantas Malakauskas & Gediminas Montvilas. Panel testing for image quality. Bachelor thesis (BEng Computer Science).Gjøvik University College , May, 2003. [Abstract] [BibTeX] [URL] |
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| Abstract: The purpose of this main project was to develop a software application for performing panel tests for comparing images on a computer monitor. The goal of this comparison is to determine if pictures, which correspond to specific image data processing algorithms, have significant difference in quality. If the difference is noticed, rank of algorithms can be formed and the best algorithm selected. The numerous tests can reveal that one specific method is frequently first in a row. If such situation is encountered, this algorithm can be set as an industrial standard for image data processing which matches specific requirements. Then users, seeing the obvious leader in particular industry section, can more easily decide and avoid ambiguity when choosing the most suitable solution meeting their needs. The software functionality has to include the most important features expected. The application should support different kinds of tests (paired comparison, category judgement) for a variety of tests to perform and to achieve more accurate final results. It would be convenient to have a module for administration (users, images, etc.), which simplifies the researches work during the test period. The software also must have a module for simple data analysis according to standardized statistical methods. It must be possible to export the empirical data in a suitable format for compatibility with other wide-used software. The application for performing image quality tests was called QuickEval, which stands for “quick evaluation”. Viewing statistical results just like a string of numbers don’t give the expected picturesqueness for the researcher. Seeking for clearer evaluation and to present the results in a more suitable format for human’s eye, we were suggested to create a module for drawing charts based on data acquired by the comparison module. This improved overall functionality of the developed software application and gave even more ideas for further expandability. The module for drawing graphics has a name of ChartDrawer and this explains its function, obviously. |
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BibTeX:
@misc{Malakauskas2003,
author = {Mantas Malakauskas and Gediminas Montvilas},
title = {Panel testing for image quality},
month = {May},
year = {2003},
note = {Bachelor thesis (BEng Computer Science).Gjøvik University College},
url = {http://www.colorlab.no/content/download/21984/216275/file/Malakauskas_Bachelor_thesis.pdf}
}
|
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|
Morten Amsrud. Forbedring og evaluering av algoritmer for fargeomfangstilpasning. Master thesis Gjøvik University College, 2003. [Abstract] [BibTeX] [URL] |
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| Abstract: This thesis work with gamut mapping and the experiment is based on the TC 8-03 from CIE. The start of the paper is a state-of-the-art. Four algorithms for gamut mapping is tested, chroma-dependent sigmoidal lightness mapping and cusp knee scaling (SGCK), hueangle preserving minimum deltaE*ab clipping (Clip), GAMMA and a combination of SGCK and Clipping (SGCKC). The mapping is carried out from sRGB to two destination mediums, a HP Color LaserJet 4550 PS and CPS700 from Oce. After combining the results for both experiments, SGCKC is significantly better than SGCK and much better than GAMMA and Clip. SGCKC give better saturation and as good details as SGCK. Clip had the strongest saturations, but many details were clipped off, which results in artefacts. GAMMA had the darkest pictures, but had fewer artefacts. | |||||
BibTeX:
@mastersthesis{Amsrud2003,
author = {Morten Amsrud},
title = {Forbedring og evaluering av algoritmer for fargeomfangstilpasning},
school = {Gjøvik University College},
year = {2003},
url = {http://www.nada.kth.se/utbildning/grukth/exjobb/rapportlistor/2003/rapporter03/amsrud_morten_03164.pdf}
}
|
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|
Arne M. Bakke; Ståle Kopperud & Anders Rindal. Visualisering av 3D fargerom (visualisation of 3D colour spaces). Bachelor thesis (BEng Computer Science). Gjøvik University College , 2002. [BibTeX] [URL] |
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BibTeX:
@misc{Bakke2002,
author = {Arne M. Bakke and Ståle Kopperud and Anders Rindal},
title = {Visualisering av 3D fargerom (visualisation of 3D colour spaces)},
year = {2002},
note = {Bachelor thesis (BEng Computer Science). Gjøvik University College},
url = {http://www.colorlab.no/content/download/21982/216269/file/Rindal_Bachelor_thesis.pdf}
}
|
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|
Øyvind Kolås. AutoColorist - Color correction in digital video. Bachelor thesis (BA Computers and Multimedia). Gjøvik University College , 2002. [BibTeX] |
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BibTeX:
@misc{Kolaas2002,
author = {Øyvind Kolås},
title = {AutoColorist - Color correction in digital video},
year = {2002},
note = {Bachelor thesis (BA Computers and Multimedia). Gjøvik University College}
}
|
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|
Jon Yngve Hardeberg. Acquisition and reproduction of colour images: colorimetric and multispectral approaches. PhD thesis Ecole Nationale Superieure des Telecommunications, 1999. [Abstract] [BibTeX] [URL] |
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| Abstract: The goal of the work reported in this dissertation is to develop methods for the acquisition and reproduction of high quality digital colour images. To reach this goal it is necessary to understand and control the way in which the different devices involved in the entire colour imaging chain treat colours. Therefore we addressed the problem of colorimetric characterisation of scanners and printers, providing efficient and colorimetrically accurate means of conversion between a device-independent colour space such as the CIELAB space, and the device-dependent colour spaces of a scanner and a printer. First, we propose a new method for the colorimetric characterisation of colour scanners. It consists in applying a non-linear correction to the scanner RGB values followed by a 3rd order 3D polynomial regression function directly to CIELAB space. This method gives very good results in terms of residual colour differences. The method has been successfully applied to several colour image acquisition devices, including digital cameras. Together with other proposed algorithms for image quality enhancements it has allowed us to obtain very high quality digital colour images of fine art paintings. An original method for the colorimetric characterisation of a printer is then proposed. The method is based on a computational geometry approach. It uses a 3D triangulation technique to build a tetrahedral partition of the printer colour gamut volume and it generates a surrounding structure enclosing the definition domain. The characterisation provides the inverse transformation from the device-independent colour space CIELAB to the device-dependent colour space CMY, taking into account both colorimetric properties of the printer, and colour gamut mapping. To further improve the colour precision and colour fidelity we have performed another study concerning the acquisition of multispectral images using a monochrome digital camera together with a set of K>3 carefully selected colour filters. Several important issues are addressed in this study. A first step is to perform a spectral characterisation of the image acquisition system to establish the spectral model. The choice of colour chart for this characterisation is found to be very important, and a new method for the design of an optimised colour chart is proposed. Several methods for an optimised selection of colour filters are then proposed, based on the spectral properties of the camera, the illuminant, and a set of colour patches representative for the given application. To convert the camera output signals to device-independent data, several approaches are proposed and tested. One consists in applying regression methods to convert to a colour space such as CIEXYZ or CIELAB. Another method is based on the spectral model of the acquisition system. By inverting the model, we can estimate the spectral reflectance of each pixel of the imaged surface. Finally we present an application where the acquired multispectral images are used to predict changes in colour due to changes in the viewing illuminant. This method of illuminant simulation is found to be very accurate, and working on a wide range of illuminants having very different spectral properties. The proposed methods are evaluated by their theoretical properties, by simulations, and by experiments with a multispectral image acquisition system assembled using a CCD camera and a tunable filter in which the spectral transmittance can be controlled electronically. | |||||
BibTeX:
@phdthesis{Hardeberg1999,
author = {Jon Yngve Hardeberg},
title = {Acquisition and reproduction of colour images: colorimetric and multispectral approaches},
school = {Ecole Nationale Superieure des Telecommunications},
year = {1999},
url = {http://www.colorlab.no/content/download/21936/215653/file/Jon_Y_Hardeberg_phd_thesis.pdf}
}
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