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 …

The double-opponent color-sensitive cells in the primary visual cortex (V1) of the human
visual system (HVS) have long been recognized as the physiological basis of color …

A model for color constancy (CC) that can be applied for automatic CC for still and video
images is presented. This biological model succeeds in automatically correcting the color of …

The double-opponent (DO) color-sensitive cells in the primary visual cortex (V1) of the
human visual system (HVS) have long been recognized as the physiological basis of color …

The aim of computational color constancy is to estimate the actual surface color in an
acquired scene disregarding its illuminant. Many solutions try to first estimate the illuminant …

Multi-illuminant-based color constancy (MCC) is quite a challenging task. In this paper, we
proposed a novel model motivated by the bottom-up and top-down mechanisms of human …

The problem of removing illuminant variations to preserve the colours of objects (colour
constancy) has already been solved by the human brain using mechanisms that rely largely …

To achieve computer vision color constancy (CVCC), it is vital but challenging to estimate
scene illumination from a digital image, which distorts the true color of an object. Estimating …

It is an ill-posed problem to recover the true scene colors from a color biased image by
discounting the effects of scene illuminant and camera spectral sensitivity (CSS) at the same …

Color constancy is used to determine the actual surface color of the scene affected by
illumination so that the captured image is more in line with the characteristics of human …