A novel biological model for color contrast is presented. An additional goal of the model was to achieve automatic color correction of still and video images. The model predicts human visual performance according to the physiology of the first and second order of the colorcoded cells in visual system. It is based on the properties of retinal ganglion cells (opponent cells) and cortical cells (double opponent cells) as well as on chromatic adaptation mechanisms in these double opponent colorcoded cells: remote chromatic adaptation. The simulations calculated the perceived image for still images, and were performed in order to correct image colors. The results indicate that the contribution of adaptation mechanisms to color contrast is significant, robust, and enables color correction of still images.
Hedva Spitzer, Eilon Sherman, "Color Contrast: A Biological Model and its Application for Real Images" in Proc. IS&T CGIV 2002 First European Conf. on Colour in Graphics, Imaging, and Vision, 2002, pp 27 - 32, https://doi.org/10.2352/CGIV.2002.1.1.art00007