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 …

When the illumination on a scene changes, so do the visual signals elicited by that scene. In
spite of these changes, the objects within a scene tend to remain constant in their apparent …

What determines how languages categorize colors? We analyzed results of the World Color
Survey (WCS) of 110 languages to show that despite gross differences across languages …

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 …

Deep learning-based hyperspectral image super-resolution (SR) methods have achieved
great success recently. However, there are two main problems in the previous works. One is …

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 …

Poisson observations for videos are important models in video processing and computer
vision. In this paper, we study the third-order tensor completion problem with Poisson …

In natural complex environments, the elevation of the sun and the presence of occluding
objects and mutual reflections cause variations in the spectral composition of the local …

What makes a colored image, eg an abstract painting or a landscape, look pleasing? We
hypothesized that a preference for complex color compositions, such as paintings and …

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 …