Color constancy is a basic step for achieving stable color perception in both biological visual
systems and the image signal processing (ISP) pipeline of cameras. So far, there have been …

Nighttime conditions pose a significant challenge to color constancy due to the diversity of
lighting conditions and the presence of substantial low-light noise. Existing color constancy …

Color constancy is a well-studied topic in color vision. Methods are generally categorized as
(1) low-level statistical methods,(2) gamut-based methods, and (3) learning-based methods …

Illuminant estimation is a key step for computational color constancy. Instead of using the
grey world or grey edge assumptions, we propose in this paper a novel method for …

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 …

Temporal Color Constancy (CC) is a recently proposed approach that challenges the
conventional single-frame color constancy. The conventional approach is to use a single …

Color constancy is the ability to perceive the color of a surface as invariant even under
changing illumination. In outdoor applications, such as mobile robot navigation or …

Illuminant estimation is critically important in computational color constancy, which has
attracted great attentions and motivated the development of various statistical-and learning …

Temporal color constancy (TCC) is a recent research direction that uses multiple temporally
correlated images (eg, frames in a video) to perform illuminant estimation. Compared to …

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 …