This paper presents a low-light image restoration method based on the variational Retinex
model using the bright channel prior (BCP) and total-variation minimization. The proposed …

Aiming at the problems of residual noise, low contrast, and limited detail information caused
by low‐light images, this paper proposes a new Retinex variational model. According to …

A new image enhancement algorithm based on Retinex theory is proposed to solve the
problem of bad visual effect of an image in low-light conditions. First, an image is converted …

This paper presents an optimization-based low-light image enhancement method using
spatially adaptive l 2-norm based Retinex model. The proposed method adaptively enforces …

Guided by the Retinex model, image decomposition based low-light image enhancement
methods attempt to manipulate the estimated illumination and project it back to the …

In order to improve the visual quality of low-light image, a kind of low-light image
enhancement method based on directional total variation Retinex was proposed. Firstly, the …

Most of existing low-light image enhancement approaches either fail to consider fine parts of
the image or fail to consider intensive noise. To overcome these drawbacks, this paper …

Low-light enhancement is an important post-image-processing technique, as it helps to
reveal hidden details from dark image regions. In this paper, we propose a fast low-light …

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 …

Limited by the number of available photons collected by a pixel and the stability of the
imaging system, images captured under poor illumination conditions are often degraded by …