A quarter of a century ago, the first systematic behavioral experiments were performed to
clarify the nature of color constancy—the effect whereby the perceived color of a surface …

Since at least 1935, vision researchers have used art stimuli to test human response to
complex scenes. This is sensible given the “inherent interestingness” of art and its relation to …

Computational color constancy is a fundamental prerequisite for many computer vision
applications. This paper presents a survey of many recent developments and state-of-the-art …

Estimates of the frequency of metameric surfaces, which appear the same to the eye under
one illuminant but different under another, were obtained from 50 hyperspectral images of …

Existing color constancy methods are all based on specific assumptions such as the spatial
and spectral characteristics of images. As a consequence, no algorithm can be considered …

The gamut mapping algorithm is one of the most promising methods to achieve
computational color constancy. However, so far, gamut mapping algorithms are restricted to …

While the field of computer vision drives many of today's digital technologies and
communication networks, the topic of color has emerged only recently in most computer …

High dynamic range (HDR) image, which has a powerful capacity to represent the wide
dynamic range of real-world scenes, has been receiving attention from both academic and …

Recently, there has been a significant increase in the use of proximal or remote
hyperspectral imaging systems to study plant properties, types, and conditions. Numerous …

In everyday experience, perceived colors of objects remain approximately constant under
changes in illumination. This constancy is helpful for identifying objects across viewing …