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 …

Low-light image enhancement is a notoriously challenging problem. Enhancement of low-
light images is intended to increase contrast, adjust the tone, suppress noise, and produce …

Low-light image enhancement methods based on classic Retinex model attempt to
manipulate the estimated illumination and to project it back to the corresponding reflectance …

We propose a weighted variational model to estimate both the reflectance and the
illumination from an observed image. We show that, though it is widely adopted for ease of …

Retinex theory is developed mainly to decompose an image into the illumination and
reflectance components by analyzing local image derivatives. In this theory, larger …

In this paper, a new probabilistic method for image enhancement is presented based on a
simultaneous estimation of illumination and reflectance in the linear domain. We show that …

While the retinex theory aimed at explaining human color perception, its derivations have
led to efficient algorithms enhancing local image contrast, thus permitting among other …

The dental disease is a common disease for a human. Screening and visual diagnosis that
are currently performed in clinics possibly cost a lot in various manners. Along with the …

Human vision has the ability to recognize color under varying illumination conditions.
Retinex theory is introduced to explain how the human visual system perceives color. The …

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