Color-Opponent Mechanisms for Local Hue Encoding in a Hierarchical Framework
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Method for Compensating for Color Differences Between Different Images of a Same Scene
(19) TZZ¥ZZ__T (11) EP 3 001 668 A1 (12) EUROPEAN PATENT APPLICATION (43) Date of publication: (51) Int Cl.: 30.03.2016 Bulletin 2016/13 H04N 1/60 (2006.01) (21) Application number: 14306471.5 (22) Date of filing: 24.09.2014 (84) Designated Contracting States: (72) Inventors: AL AT BE BG CH CY CZ DE DK EE ES FI FR GB • Sheikh Faridul, Hasan GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO 35576 CESSON-SÉVIGNÉ (FR) PL PT RO RS SE SI SK SM TR • Stauder, Jurgen Designated Extension States: 35576 CESSON-SÉVIGNÉ (FR) BA ME • Serré, Catherine 35576 CESSON-SÉVIGNÉ (FR) (71) Applicants: • Tremeau, Alain • Thomson Licensing 42000 SAINT-ETIENNE (FR) 92130 Issy-les-Moulineaux (FR) • CENTRE NATIONAL DE (74) Representative: Browaeys, Jean-Philippe LA RECHERCHE SCIENTIFIQUE -CNRS- Technicolor 75794 Paris Cedex 16 (FR) 1, rue Jeanne d’Arc • Université Jean Monnet de Saint-Etienne 92443 Issy-les-Moulineaux (FR) 42023 Saint-Etienne Cedex 2 (FR) (54) Method for compensating for color differences between different images of a same scene (57) The method comprises the steps of: - for each combination of a first and second illuminants, applying its corresponding chromatic adaptation matrix to the colors of a first image to compensate such as to obtain chromatic adapted colors forming a chromatic adapted image and calculating the difference between the colors of a second image and the chromatic adapted colors of this chromatic adapted image, - retaining the combination of first and second illuminants for which the corresponding calculated difference is the smallest, - compensating said color differences by applying the chromatic adaptation matrix corresponding to said re- tained combination to the colors of said first image. -
Book of Abstracts of the International Colour Association (AIC) Conference 2020
NATURAL COLOURS - DIGITAL COLOURS Book of Abstracts of the International Colour Association (AIC) Conference 2020 Avignon, France 20, 26-28th november 2020 Sponsored by le Centre Français de la Couleur (CFC) Published by International Colour Association (AIC) This publication includes abstracts of the keynote, oral and poster papers presented in the International Colour Association (AIC) Conference 2020. The theme of the conference was Natural Colours - Digital Colours. The conference, organised by the Centre Français de la Couleur (CFC), was held in Avignon, France on 20, 26-28th November 2020. That conference, for the first time, was managed online and onsite due to the sanitary conditions provided by the COVID-19 pandemic. More information in: www.aic2020.org. © 2020 International Colour Association (AIC) International Colour Association Incorporated PO Box 764 Newtown NSW 2042 Australia www.aic-colour.org All rights reserved. DISCLAIMER Matters of copyright for all images and text associated with the papers within the Proceedings of the International Colour Association (AIC) 2020 and Book of Abstracts are the responsibility of the authors. The AIC does not accept responsibility for any liabilities arising from the publication of any of the submissions. COPYRIGHT Reproduction of this document or parts thereof by any means whatsoever is prohibited without the written permission of the International Colour Association (AIC). All copies of the individual articles remain the intellectual property of the individual authors and/or their -
International Journal for Scientific Research & Development
IJSRD - International Journal for Scientific Research & Development| Vol. 1, Issue 12, 2014 | ISSN (online): 2321-0613 Modifying Image Appearance for Improvement in Information Gaining For Colour Blinds Prof.D.S.Khurge1 Bhagyashree Peswani2 1Professor, ME2, 1, 2 Department of Electronics and Communication, 1,2L.J. Institute of Technology, Ahmedabad Abstract--- Color blindness is a color perception problem of Light transmitted by media i.e., Television uses additive human eye to distinguish colors. Persons who are suffering color mixing with primary colors of red, green, and blue, from color blindness face many problem in day to day life each of which is stimulating one of the three types of the because many information are contained in color color receptors of eyes with as little stimulation as possible representations like traffic light, road signs etc. of the other two. Its called "RGB" color space. Mixtures of Daltonization is a procedure for adapting colors in an image light are actually a mixture of these primary colors and it or a sequence of images for improving the color perception covers a huge part of the human color space and thus by a color-deficient viewer. In this paper, we propose a re- produces a large part of human color experiences. That‟s coloring algorithm to improve the accessibility for the color because color television sets or color computer monitors deficient viewers. In Particular, we select protanopia, a type needs to produce mixtures of primary colors. of dichromacy where the patient does not naturally develop Other primary colors could in principle be used, but the “Red”, or Long wavelength, cones in his or her eyes. -
Arxiv:1907.02116V1 [Q-Bio.NC] 3 Jul 2019
Multiplicative modulations in hue-selective cells enhance unique hue representation Paria Mehrani1, 2, *, Andrei Mouraviev1, 2, and John K. Tsotsos1, 2 1Department of Electrical Engineering and Computer Science, York University, Toronto, Canada 2The Center for Vision Research, York University, Toronto, Canada [email protected], [email protected], [email protected] There is still much to understand about the color processing mechanisms in the brain and the transformation from cone-opponent representations to perceptual hues. Moreover, it is unclear which areas(s) in the brain represent unique hues. We propose a hierarchical model inspired by the neuronal mechanisms in the brain for local hue representation, which reveals the contributions of each visual cortical area in hue representation. Local hue encoding is achieved through incrementally increasing processing nonlinearities beginning with cone input. Besides employing nonlinear rectifications, we propose multiplicative modulations as a form of nonlinearity. Our simulation results indicate that multiplicative modulations have significant contributions in encoding of hues along intermediate directions in the MacLeod-Boynton diagram and that model V4 neurons have the capacity to encode unique hues. Additionally, responses of our model neurons resemble those of biological color cells, suggesting that our model provides a novel formulation of the brain's color processing pathway. The color processing mechanisms in the primary visual Beyond LGN, studies on multiple regions in the ventral cortex and later processing stages are a target of debate stream show an increase in nonlinearity with respect to among color vision researchers. What is also unclear is the three cone types from LGN to higher brain areas [7] which brain area represents unique hues, those pure col- and also a shift of selectivity toward intermediate hues ors unmixed with other colors. -
Application of Contrast Sensitivity Functions in Standard and High Dynamic Range Color Spaces
https://doi.org/10.2352/ISSN.2470-1173.2021.11.HVEI-153 This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. Color Threshold Functions: Application of Contrast Sensitivity Functions in Standard and High Dynamic Range Color Spaces Minjung Kim, Maryam Azimi, and Rafał K. Mantiuk Department of Computer Science and Technology, University of Cambridge Abstract vision science. However, it is not obvious as to how contrast Contrast sensitivity functions (CSFs) describe the smallest thresholds in DKL would translate to thresholds in other color visible contrast across a range of stimulus and viewing param- spaces across their color components due to non-linearities such eters. CSFs are useful for imaging and video applications, as as PQ encoding. contrast thresholds describe the maximum of color reproduction In this work, we adapt our spatio-chromatic CSF1 [12] to error that is invisible to the human observer. However, existing predict color threshold functions (CTFs). CTFs describe detec- CSFs are limited. First, they are typically only defined for achro- tion thresholds in color spaces that are more commonly used in matic contrast. Second, even when they are defined for chromatic imaging, video, and color science applications, such as sRGB contrast, the thresholds are described along the cardinal dimen- and YCbCr. The spatio-chromatic CSF model from [12] can sions of linear opponent color spaces, and therefore are difficult predict detection thresholds for any point in the color space and to relate to the dimensions of more commonly used color spaces, for any chromatic and achromatic modulation. -
A Novel Technique for Modification of Images for Deuteranopic Viewers
ISSN (Online) 2278-1021 IJARCCE ISSN (Print) 2319 5940 International Journal of Advanced Research in Computer and Communication Engineering Vol. 5, Issue 4, April 2016 A Novel Technique for Modification of Images for Deuteranopic Viewers Jyoti D. Badlani1, Prof. C.N. Deshmukh 2 PG Student [Dig Electronics], Dept. of Electronics & Comm. Engineering, PRMIT&R, Badnera, Amravati, Maharashtra, India1 Professor, Dept. of Electronics & Comm. Engineering, PRMIT&R, Badnera, Amravati, Maharashtra, India2 Abstract: About 8% of men and 0.5% women in world are affected by the Colour Vision Deficiency. As per the statistics, there are nearly 200 million colour blind people in the world. Color vision deficient people are liable to missing some information that is taken by color. People with complete color blindness can only view things in white, gray and black. Insufficiency of color acuity creates many problems for the color blind people, from daily actions to education. Color vision deficiency, is a condition in which the affected individual cannot differentiate between colors as well as individuals without CVD. Colour vision deficiency, predominantly caused by hereditary reasons, while, in some rare cases, is believed to be acquired by neurological injuries. A colour vision deficient will miss out certain critical information present in the image or video. But with the aid of Image processing, many methods have been developed that can modify the image and thus making it suitable for viewing by the person suffering from CVD. Color adaptation tools modify the colors used in an image to improve the discrimination of colors for individuals with CVD. This paper enlightens some previous research studies in this field and follows the advancement that has occurred over the time. -
On the Nature of Unique Hues
Reprinted from Dickinson, C., Murray, 1. and Carden, D. (Eds) 'John Dalton's Colour Vision Legacy', 1997, Taylor & Francis, London On the Nature of Unique Hues J. D. Mollon and Gabriele Jordan 7.1 .l INTRODUCTION There exist four colours, the Urfarben of Hering, that appear phenomenologically un- mixed. The special status of these 'unique hues' remains one of the central mysteries of colour science. In Hering's Opponent Colour Theory, unique red and green are the colours seen when the yellow-blue process is in equilibrium and when the red-green process is polarised in one direction or the other. Similarly unique yellow and blue are seen when the red-green process is in equilibrium and when the yellow-blue process is polarised in one direction or the other. Most observers judge that other hues, such as orange or cyan, partake of the qualities of two of the Urfarben. Under normal viewing conditions, however, we never experience mixtures of the two components of an opponent pair, that is, we do not experience reddish greens or yellowish blues (Hering, 1878). These observations are paradigmatic examples of what Brindley (1960) called Class B observations: the subject is asked to describe the quality of his private sensations. They differ from Class A observations, in which the subject is required only to report the identity or non- identity of the sensations evoked by different stimuli. We may add that they also differ from the performance measures (latency; frequency of error; magnitude of error) that treat the subject as an information-processingsystem and have been increasingly used in visual science since 1960. -
Unique Hues & Principal Hues
Received: 19 June 2018 Revised and accepted: 6 July 2018 DOI: 10.1002/col.22261 RESEARCH ARTICLE Unique hues and principal hues Mark D. Fairchild Program of Color Science/Munsell Color Science Abstract Laboratory, Rochester Institute of Technology, Integrated Sciences Academy, Rochester, This note examines the different concepts of encoding hue perception based on New York four unique hues (like NCS) or five principal hues (like Munsell). Various sources Correspondence of psychophysical and neurophysiological information on hue perception are Mark Fairchild, Rochester Institute of Technology, Integrated Sciences Academy, Program of Color reviewed in this context and the essential conclusion that is reached suggests there Science/Munsell Color Science Laboratory, are two types of hue perceptions being quantified. Hue discrimination is best quan- Rochester, NY 14623, USA. tified on scales based on five, equally spaced, principal hues while hue appearance Email: [email protected] is best quantified using a system based on four unique hues as cardinal axes. Much more remains to be learned. KEYWORDS appearance, discrimination, hue, Munsell 1 | INTRODUCTION note that the NCS system was designed to specify colors and their relations according to the character of their perception For over a century, the Munsell Color System has been used (appearance) while Munsell was set up to create scales of to describe color appearance, specify color relations, teach equal color discrimination, or color difference (rather than color concepts, and inspire new uses of color. It is unique in perception). Perhaps that distinction can be used to explain the sense that its hue dimension is anchored by five principal the difference in number of principal/cardinal hues. -
Dark Image Enhancement Using Perceptual Color Transfer
IEEE Access, vol. 5, 2017, pp. 1-1. Dark image enhancement using perceptual color transfer. Cepeda-Negrete, J., Sanchez-Yanez, RE., Correa-Tome, Fernando E y Lizarraga-Morales, Rocio A. Cita: Cepeda-Negrete, J., Sanchez-Yanez, RE., Correa-Tome, Fernando E y Lizarraga-Morales, Rocio A (2017). Dark image enhancement using perceptual color transfer. IEEE Access, 5 1-1. Dirección estable: https://www.aacademica.org/jcepedanegrete/14 Esta obra está bajo una licencia de Creative Commons. Para ver una copia de esta licencia, visite http://creativecommons.org/licenses/by-nc-nd/4.0/deed.es. Acta Académica es un proyecto académico sin fines de lucro enmarcado en la iniciativa de acceso abierto. Acta Académica fue creado para facilitar a investigadores de todo el mundo el compartir su producción académica. Para crear un perfil gratuitamente o acceder a otros trabajos visite: http://www.aacademica.org. Received September 21, 2017, accepted October 13, 2017. Date of publication xxxx 00, 0000, date of current version xxxx 00, 0000. Digital Object Identifier 10.1109/ACCESS.2017.2763898 Dark Image Enhancement Using Perceptual Color Transfer JONATHAN CEPEDA-NEGRETE 1, RAUL E. SANCHEZ-YANEZ 2, (Member, IEEE), FERNANDO E. CORREA-TOME2, AND ROCIO A. LIZARRAGA-MORALES3, (Member, IEEE) AQ:1 1Department of Agricultural Engineering, University of Guanajuato DICIVA, Guanajuato 36500 , Mexico 2Department of Electronics Engineering, University of Guanajuato DICIS, Guanajuato 36500, Mexico 3Department of Multidisciplinary Studies, University of Guanajuato DICIS, Guanajuato 36500, Mexico Corresponding author: Raul E. Sanchez-Yanez ([email protected]) The work of J. Cepeda-Negrete was supported by the Mexican National Council on Science and Technology (CONACyT) through the Scholarship 290747 under Grant 388681/254884. -
COLOUR11. Phenomenology
In a center- surround cell of any kind, you have two receptive fields, one the small center region, the other the surround region. In a chromatic center-surround field, each in innervated by one class of receptor, and — their signals are antagonistic + _ — If you took the input — + from 2 different cones, each with the same receptive field, and connected them to single neuron, you would have a neuron that signaled wavelength contrast (but not across any space.) — + — + _ — With a blue light in the surround, the surround provides inhibition. 100% blue surround inhibition; no center excitation. Entire cell = No firing (-100%) — + _ — With a blue light in the center, there is no excitation. Entire cell = no change to base rate — + _ — With a sky blue light in the surround, the surround provides inhibition (55%). With the sky blue light in the center, the center provides 10 % excitation Entire cell = - 40% — + _ — If only the surround is illuminated, then the surround provides inhibition (30%) Entire Cell: -30%. — + _ — If only the center is illuminated, then the center is excited by 30%. Entire Cell: +30%. — + _ — 1:1 ratio of excitation The Null Point: if both the center and the surround were illuminated by light at this wavelength, there would be no change to the base firing rate of the cell. Entire cell = Base rate firing — + _ — With green light in the center; the center is excited (45%). There is no light on the surround; so the surround provides no inhibition. Entire cell = +45% — + _ — With green light in surround inhibits the surround 10% There is no light on the center; so the center provides no excitation. -
Representation of Perceptual Color Space in Macaque Posterior Inferior Temporal Cortex (The V4 Complex)
New Research Sensory and Motor Systems Representation of Perceptual Color Space in Macaque Posterior Inferior Temporal Cortex (the V4 Complex) †,Thorsten Hansen,3 and Bevil R. Conway1,2 ء,Katherine L. Hermann,1,2 ء,Kaitlin S. Bohon,1,2 DOI:http://dx.doi.org/10.1523/ENEURO.0039-16.2016 1Program in Neuroscience, Wellesley College, Wellesley, Massachusetts 02481, 2Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, and 3Department of Psychology, Justus Liebig University Giessen, 35396 Giessen, Germany Abstract The lateral geniculate nucleus is thought to represent color using two populations of cone-opponent neurons [L vs M; Svs(Lϩ M)], which establish the cardinal directions in color space (reddish vs cyan; lavender vs lime). How is this representation transformed to bring about color perception? Prior work implicates populations of glob cells in posterior inferior temporal cortex (PIT; the V4 complex), but the correspondence between the neural representation of color in PIT/V4 complex and the organization of perceptual color space is unclear. We compared color-tuning data for populations of glob cells and interglob cells to predictions obtained using models that varied in the color-tuning narrowness of the cells, and the color preference distribution across the populations. Glob cells were best accounted for by simulated neurons that have nonlinear (narrow) tuning and, as a population, represent a color space designed to be perceptually uniform (CIELUV). Multidimensional scaling and representational similarity analyses showed that the color space representations in both glob and interglob populations were correlated with the organization of CIELUV space, but glob cells showed a stronger correlation. -
Color Blindness Bartender: an Embodied VR Game Experience
2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) Color Blindness Bartender: An Embodied VR Game Experience Zhiquan Wang* Huimin Liu† Yucong Pan‡ Christos Mousas§ Department of Computer Graphics Technology Purdue University, West Lafayette, Indiana, U.S.A. ABSTRACT correction [4]. Many color blindness test applications have been Color blindness is a very common condition, as almost one in ten summarized in Plothe [13]. For example, color-vision adaptation people have some level of color blindness or visual impairment. methods for digital game have been developed to assist people with However, there are many tasks in daily life that require the abilities color-blindness [12]. of color recognition and visual discrimination. In order to understand 2.1 Colorblindness Types the inconvenience that color-blind people experience in daily life, we developed a virtual reality (VR) application that provides the sense Cone cells are responsible for color recognition. There are three of embodiment of a color-blind person. Specifically, we designed a types of cones [2], which respond to low, medium, and long wave- color-based task for users to complete under different types of color lengths, respectively, and missing one of the cone types results in one blindness in which users make colorful cocktails for customers and of three different kinds of color blindness: tritanopia, deuteranopia, need to switch between different color blindness modalities of the and protanopia. Tritanopia refers to missing short-wavelength cones, application to distinguish different colors. Our application aims to and results in an inability to distinguish the colors of blue and yellow.