Image captured under poor-illumination conditions often display attributes of having poor
contrasts, low brightness, a narrow gray range, colour distortions and considerable …

Image enhancement plays an important role in improving image quality in the field of image
processing, which is achieved by highlighting useful information and suppressing redundant …

Color constancy is the skill by which it is possible to tell the color of an object even under a
colored light. I interpret the color of an object as its color under a fixed canonical light, rather …

We propose a method to realistically insert synthetic objects into existing photographs
without requiring access to the scene or any additional scene measurements. With a single …

This paper is concerned with the derivation of a progression of shadow-free image
representations. First, we show that adopting certain assumptions about lights and cameras …

In this paper, we provide a short review of Retinex and then present a unifying framework.
The fundamental assumption of all Retinex models is that the observed image is a …

The phenomenon of color constancy has a long and rich history of study; it has been
acknowledged explicitly by scientists and philosophers for at least two centuries and …

The color constancy problem, that is, estimating the color of the scene illuminant from a set
of image data recorded under an unknown light, is an important problem in computer vision …

Specularities-bright image regions formed by specular refection-are likely to be mistaken for
genuine surface markings by processes that perform photometric analysis, derive motion …

We devise enhancement algorithms for far infrared images based upon a model of an
idealized far infrared image being piecewise-constant. We then apply two known …