DocumentCode :
3163320
Title :
A physiological adaptation model and its predictions for different color induction effects
Author :
Barkan, Yuval ; Spitzer, Hedva
Author_Institution :
Dept. of Biomed. Eng., Tel Aviv Univ., Israel
fYear :
2002
fDate :
1 Dec. 2002
Firstpage :
353
Lastpage :
356
Abstract :
A comprehensive computational biological model based on physiological retinal and cortical color-coded receptive fields and physiological adaptation mechanisms of the first and second order is presented. This order of color processing, of first dealing with the color and then with the color contrast, has a computational advantage, since color correction and enhancement become more cost-effective. The model´s prediction of complementary color by color induction is not in agreement with previous suggested mechanisms, the suggested neuronal locus of the mechanism and the assumptions of previous studies that assumed that a complementary effect cannot be derived from an opponent receptive field type. The model succeeds in predicting psychophysical contrast-contrast dual effects. It was also suggested as a cortical chromatic physiological mechanism which has computer vision applications as well. As far as we know, most of the physiological or psychophysical chromatic computational models have not been applied to real images, except for a recent model of D´Zmura and Singer. Which performed gain control equalization. This application shows a pronounced effect (equalization of contrast) only after repeated applications of the contrast gain model.
Keywords :
cellular effects of radiation; colour vision; eye; neurophysiology; physiological models; color contrast; color induction; color processing; complementary color; comprehensive computational biological model; computer vision applications; contrast gain model; cortical chromatic physiological mechanism; gain control equalization; neuronal locus; opponent receptive field type; physiological adaptation mechanisms; physiological cortical color-coded receptive fields; physiological retinal color-coded receptive fields; psychophysical contrast-contrast dual effects; real images; Adaptation model; Application software; Biological system modeling; Biology computing; Color; Computational modeling; Computer vision; Predictive models; Psychology; Retina;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Electronics Engineers in Israel, 2002. The 22nd Convention of
Print_ISBN :
0-7803-7693-5
Type :
conf
DOI :
10.1109/EEEI.2002.1178500
Filename :
1178500
Link To Document :
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