Color constancy is the ability of the human visual system to perceive constant colors for a
surface despite changes in the spectrum of the illumination. In computer vision, the main …

Color constancy is the ability of the human visual system to perceive colors unchanged
independently of illumination. Giving a machine this feature will be beneficial in many fields …

Computational color constancy refers to the problem of computing the illuminant color so
that the images of a scene under varying illumination can be normalized to an image under …

Achieving color constancy is an important part of image preprocessing pipeline of
contemporary digital cameras. Its goal is to eliminate the influence of the illumination color …

Computational color constancy aims to estimate the color of the light source. The
performance of many vision tasks, such as object detection and scene understanding, may …

Color constancy is the ability of human beings to recognize the colors of objects
independently of the characteristics of the light source. Computational color constancy aims …

Colour constancy has attracted attention of researchers from the academy and industry as it
is a fundamental preprocessing task in many computer vision applications. Colour …

We present here a method for computational color constancy in which a deep convolutional
neural network is trained to detect achromatic pixels in color images after they have been …

In this paper, we provide a novel data set designed for Camera-independent color
constancy research. Camera independence corresponds to the robustness of an algorithm's …

In this work we describe a Convolutional Neural Network (CNN) to accurately predict the
scene illumination. Taking image patches as input, the CNN works in the spatial domain …