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M. Fairchild (2013)
Color Appearance Models: Fairchild/Color Appearance Models
P. Lennie, D. Macleod (1973)
Background configuration and rod thresholdThe Journal of Physiology, 233
Mariska Stokkermans, I. Vogels, I. Heynderickx (2016)
The effect of spatial luminance distribution on dark adaptation.Journal of vision, 16 8
K. Amano, B. Wandell, S. Dumoulin (2009)
Visual field maps, population receptive field sizes, and visual field coverage in the human MT+ complex.Journal of neurophysiology, 102 5
T. Berg (1996)
Visual efficiency of scattering and fluorescence in the human eye lensJournal of Biomedical Optics, 1
S. Hong, S. Shevell (2004)
Brightness contrast and assimilation from patterned inducing backgroundsVision Research, 44
RWG Hunt (2005)
The Reproduction of Colour
A. Watson (2015)
Computing human optical point spread functions.Journal of vision, 15 2
Changjun Li, Zhiqiang Li, Zhifeng Wang, Yang Xu, M. Luo, G. Cui, M. Melgosa, M. Brill, M. Pointer (2017)
Comprehensive color solutions: CAM16, CAT16, and CAM16‐UCSColor Research and Application, 42
Y. Nayatani, Kotaro Takahama, H. Sobagaki (1986)
Prediction of color appearance under various adapting conditionsColor Research and Application, 11
Stijn Hermans, Kevin Smet, P. Hanselaer (2018)
Color appearance model for self-luminous stimuli.Journal of the Optical Society of America. A, Optics, image science, and vision, 35 12
Jiangtao Kuang, Garrett Johnson, M. Fairchild (2007)
iCAM06: A refined image appearance model for HDR image renderingJ. Vis. Commun. Image Represent., 18
Stijn Hermans, Kevin Smet, P. Hanselaer (2018)
Brightness Model for Neutral Self-Luminous Stimuli and BackgroundsLEUKOS, 14
H. Leibowitz, F. Mote, W. Thurlow (1953)
Simultaneous contrast as a function of separation between test and inducing fields.Journal of experimental psychology, 46 6
K. Blackwell, G. Buchsbaum (1988)
The effect of spatial and chromatic parameters on chromatic inductionColor Research and Application, 13
K. Xiao, M. Luo, Changjun Li, G. Cui, Du-sik Park (2011)
Investigation of colour size effect for colour appearance assessmentColor Research and Application, 36
Pedro García, R. Huertas, M. Melgosa, G. Cui (2007)
Measurement of the relationship between perceived and computed color differences.Journal of the Optical Society of America. A, Optics, image science, and vision, 24 7
Stijn Hermans, Kevin Smet, P. Hanselaer (2019)
Exploring the applicability of the CAM18sl brightness prediction.Optics express, 27 10
Min Kim, T. Weyrich, Jan Kautz (2009)
Modeling human color perception under extended luminance levelsACM SIGGRAPH 2009 papers
A. Watson (2013)
A formula for the mean human optical modulation transfer function as a function of pupil size.Journal of vision, 13 6
K. Naka, W. Rushton (1966)
S‐potentials from colour units in the retina of fish (Cyprinidae)The Journal of Physiology, 185
R. Hunt (2005)
The Reproduction of Colour: Hunt/Reproduction of Colour
(1913)
Die Kinetik der Invertinwirkung
M. Cohen, Thomas Botch, Caroline Robertson (2020)
The limits of color awareness during active, real-world visionProceedings of the National Academy of Sciences of the United States of America, 117
J. McCann, R. Savoy (1991)
Measurements of lightness: dependence on the position of a white in the field of view, 1453
S. Hecht, C. Haig, G. Wald (1935)
THE DARK ADAPTATION OF RETINAL FIELDS OF DIFFERENT SIZE AND LOCATIONThe Journal of General Physiology, 19
W. Huang, Y. Yang, M. Luo (2019)
Verification of the CAM15u colour appearance model and the QUGR glare modelLighting Research & Technology, 51
P. Sun, Hung-Chung Li, M. Luo (2017)
Background luminance and subtense affects color appearanceColor Research and Application, 42
Bonseok Koo, Y. Kwak (2015)
Color Appearance and Color Connotation Models for Unrelated ColorsColor Research and Application, 40
A. Gloriani, Beatriz Matesanz, P. Barrionuevo, I. Arranz, L. Issolio, S. Mar, J. Aparicio (2016)
Influence of background size, luminance and eccentricity on different adaptation mechanismsVision Research, 125
Chenyang Fu, Changjun Li, G. Cui, M. Luo, Robert Hunt, M. Pointer (2012)
An investigation of colour appearance for unrelated colours under photopic and mesopic visionColor Research and Application, 37
Laurence Meylan, D. Alleysson, S. Süsstrunk (2007)
Model of retinal local adaptation for the tone mapping of color filter array images.Journal of the Optical Society of America. A, Optics, image science, and vision, 24 9
Zhenhua Xie, T. Stockham (1989)
Toward the unification of three visual laws and two visual models in brightness perceptionIEEE Trans. Syst. Man Cybern., 19
MR Luo, RWG Hunt (1998)
The structure of the CIE 1997 colour appearance model (CIECAM97s), 23
Shin-Yi Ma, P. Hanselaer, K. Teunissen, Kevin Smet (2020)
Effect of adapting field size on chromatic adaptation.Optics express, 28 12
M. Rudd (2017)
Lightness computation by the human visual systemJournal of Electronic Imaging, 26
K. Xiao, M. Luo, Changjun Li (2012)
Colour size effect modellingColor Research and Application, 37
Color appearance models (CAM) generate a set of visual correlates attributed to a stimulus such as hue, brightness, and saturation. However, most of their applicability is limited to stimuli perceived on a uniform background. Additionally, when focusing on brightness, multiple studies have been performed to model the mechanisms of brightness perception of a stimulus on a non‐uniform background. In this paper, experimental data are gathered and the insights of both approaches are combined. The influence of adding a neutral ring‐shaped luminous area in the background of a neutral circular stimulus has been investigated via a series of psychophysics experiments. The ring is presented at three luminance levels (90, 335, 1200 cd/m2) with three thicknesses (0.33, 0.67, and 1.00 cm) at four angular distances to the edge of the stimulus (1.2°, 6.4°, 11.3° and 16.1°). It is observed that when the ring is closer to the stimulus, the brightness inhibition becomes larger; obviously, the impact is also related to the ring's area and luminance. Inspired by the classical CAM, the cone excitations corresponding to the stimulus and the background are inserted in a compression‐adaptation formula to obtain a cone response proportional to the perceived brightness. The semi‐saturation constant occurring in this formula is modelled as a function of the cone excitation, the distance and the width of the ring. The results are overall promising, yet the model shows some shortcomings and more complex weighting functions might be needed. In the future, image‐based approaches should get more attention.
Color Research & Application – Wiley
Published: Dec 1, 2022
Keywords: brightness appearance; brightness modelling; spatial brightness
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