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 …

Background In computer vision, there are multiple calibration problems. The most
fundamental one is the camera calibration, which determines the intrinsic and extrinsic …

In inhomogeneous objects, highlights are linear combinations of diffuse and specular
reflection components. A number of methods have been proposed to separate or …

Existing color constancy methods cannot handle both uniformly colored surfaces and highly
textured surfaces in a single integrated framework. Statistics-based methods require many …

We propose a novel grayness index for finding gray pixels and demonstrate its effectiveness
and efficiency in illumination estimation. The grayness index, GI in short, is derived using the …

The double-opponent (DO) color-sensitive cells in the primary visual cortex (V1) of the
human visual system (HVS) have long been recognized as the physiological basis of color …

Image colors are biased by the color of the prevaling illumination. As such the color at pixel
cannot always be used directly in solving vision tasks from recognition, to tracking to general …

We present a novel method to separate specular reflection from a single image. Separating
an image into diffuse and specular components is an ill-posed problem due to lack of …

This article addresses the problem of colour constancy: how a visual system is able to
ensure that the colours it perceives remain stable, regardless of the prevailing scene …

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 …