Most digital camera pipelines use color constancy methods to reduce the influence of
illumination and camera sensor on the colors of scene objects. The highest accuracy of color …

Computational color constancy has the important task of reducing the influence of the scene
illumination on the object colors. As such, it is an essential part of the image processing …

Color constancy is one of the key steps in the process of image formation in digital cameras.
Its goal is to process the image so that there is no influence of illumination color on the …

In the human and computer vision, color constancy is the ability to perceive the true color of
objects in spite of changing illumination conditions. Color constancy is remarkably …

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 …

The intrinsic properties of the ambient illuminant significantly alter the true colors of objects
within an image. Most existing color constancy algorithms assume a uniformly lit scene …

In the image processing pipelines of digital cameras, one of the first steps is to achieve
invariance in terms of scene illumination, namely computational color constancy. Usually …

The image processing pipeline of most contemporary digital cameras performs illumination
estimation in order to remove the influence of illumination on image scene colors. In this …

An important part of image enhancement is color constancy, which aims to make image
colors invariant to illumination. In this paper the Color Dog (CD), a new learning-based …

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