A Retinal Mechanism Inspired Color Constancy Model

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
Xian-Shi ZhangYong-Jie Li

Abstract

In this paper, we propose a novel model for the computational color constancy, inspired by the amazing ability of the human vision system (HVS) to perceive the color of objects largely constant as the light source color changes. The proposed model imitates the color processing mechanisms in the specific level of the retina, the first stage of the HVS, from the adaptation emerging in the layers of cone photoreceptors and horizontal cells (HCs) to the color-opponent mechanism and disinhibition effect of the non-classical receptive field in the layer of retinal ganglion cells (RGCs). In particular, HC modulation provides a global color correction with cone-specific lateral gain control, and the following RGCs refine the processing with iterative adaptation until all the three opponent channels reach their stable states (i.e., obtain stable outputs). Instead of explicitly estimating the scene illuminant(s), such as most existing algorithms, our model directly removes the effect of scene illuminant. Evaluations on four commonly used color constancy data sets show that the proposed model produces competitive results in comparison with the state-of-the-art methods for the scenes under either single or multiple illuminants. The results...Continue Reading

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Citations

May 18, 2019·Sensors·Md Akmol HussainIosif Mporas
Oct 17, 2017·Journal of the Optical Society of America. A, Optics, Image Science, and Vision·Shao-Bing GaoYong-Jie Li
Sep 13, 2019·Optics Express·Shao-Bing GaoYong-Jie Li

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