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 the ability to remove the effect of illumination on color. Since color
constancy is an ill-posed problem, many methods have been proposed based on …

A lot of color constancy (CC) approaches have been studied to solve color-shifting
problems. However, these methods do not consider the color gamut distribution of the image …

Artificial lights, which are powered by alternating current (AC), are ubiquitous nowadays.
The intensity of these lights fluctuates dynamically depending on the AC power. In contrast …

Estimating the illuminant from a color-biased image is an ill-posed problem without prior
information or invariance about the surfaces of a scene. Based on the classical image …

The sRGB white balance methods aim to correct the nonlinear color cast of sRGB images
without accessing raw values. Although existing methods have achieved increasingly better …

In order to solve the problem that the existing illumination estimation methods have low
accuracy in image restoration, a random vector functional link illumination estimation …

Computational color constancy (CCC) is to endow computers or cameras with the capability
to remove the color bias effect caused by different scene illuminations. The first procedure of …

Computational color constancy (CCC) is a fundamental prerequisite for many computer
vision tasks. The key of CCC is to estimate illuminant color so that the image of a scene …

Color constancy is an essential part of the Image Signal Processor (ISP) pipeline, which
removes the color bias of the captured image generated by scene illumination. Recently …