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 …

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

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 …

In this work we present a new algorithm for digital images unsupervised enhancement with
simultaneous global and local effects, called ACE for Automatic Color Equalization. It is …

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 …

In 1964, Edwin H. Land formulated the Retinex theory, the first attempt to simulate and
explain how the human visual system perceives color. His theory and an extension, the …

In order to investigate the local filtering behavior of the Retinex model, we propose a new
implementation in which paths are replaced by 2-D pixel sprays, hence the name “random …

We present a detailed mathematical analysis of the original Retinex algorithm due to Land
and McCann [J. Opt. Soc. Am. 61, 1 (1071)]. To this end, we propose an analytic formula that …

Starting from the revolutionary Retinex by Land and McCann, several further perceptually
inspired color correction models have been developed with different aims, eg reproduction …

We present an interpretation of Land's Retinex theory that we show to be consistent with the
original formulation. The proposed model relies on the computation of the expectation value …