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 …

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 colour constancy refers to the problem of obtaining reliable illuminant colour
so that the image can be rectified to generate a new image under the canonical illumination …

Color constancy usually refers to the adaptive ability of people to correctly perceive the color
of objects under any light source and is an important prerequisite for advanced tasks such …

Color constancy is our ability to perceive constant colors across varying illuminations. Here,
we trained deep neural networks to be color constant and evaluated their performance with …

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 …

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

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 …

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 …

Traditional color constancy algorithms solved the problem by modeling the statistical laws of
objects and illumination colors. We [1] designed a CNN-based color constancy algorithm …