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 …

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 …

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 …

The study of visual illusions has proven to be a very useful approach in vision science. In
this work we start by showing that, while convolutional neural networks (CNNs) trained for …

Recent studies invoke the superiority of the multivariate Total Correlation concept over the
conventional pairwise measures of functional connectivity in biological networks. Those …

The problem of removing illuminant variations to preserve the colours of objects (colour
constancy) has already been solved by the human brain using mechanisms that rely largely …

Visual discomfort is related to the statistical regularity of visual images. The contribution of
luminance contrast to visual discomfort is well understood and can be framed in terms of a …

It is an ill-posed problem to recover the true scene colors from a color biased image by
discounting the effects of scene illuminant and camera spectral sensitivity (CSS) at the same …

Progress in lighting estimation is tracked by computing existing image quality assessment
(IQA) metrics on images from standard datasets. While this may appear to be a reasonable …

Tunable lenses make it possible to measure visual sensitivity to rapid changes in optical
power, surpassing the limits imposed by mechanical elements. Using a tunable lens system …