As the quality of optical sensors improves, there is a need for processing large-scale
images. In particular, the ability of devices to capture ultra-high definition (UHD) images and …

Low-light images suffer from low contrast and unclear details, which not only reduces the
available information for humans but limits the application of computer vision algorithms …

In this paper, we present a systematic review and evaluation of existing single-image low-
light enhancement algorithms. Besides the commonly used low-level vision oriented …

Noise causes unpleasant visual effects in low-light image/video enhancement. In this paper,
we aim to make the enhancement model and method aware of noise in the whole process …

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 …

Weak illumination or low light image enhancement as pre-processing is needed in many
computer vision tasks. Existing methods show limitations when they are used to enhance …

We propose a straightforward and efficient fusion-based method for enhancing weakly
illumination images that uses several mature image processing techniques. First, we employ …

Low-light images are not conducive to human observation and computer vision algorithms
due to their low visibility. Although many image enhancement techniques have been …

Low-light images are not conducive to human observation and computer vision algorithms
due to their low visibility. To solve this problem, many image enhancement techniques have …

It has been widely acknowledged that under-exposure causes a variety of visual quality
degradation because of intensive noise, decreased visibility, biased color, etc. To alleviate …