Images of road scenes in low-light situations are lack of details which could increase crash
risk of connected autonomous vehicles (CAVs). Therefore, an effective and efficient image …

Vision-based intelligent driving assistance systems and transportation systems can be
improved by enhancing the visibility of the scenes captured in extremely challenging …

Low-light image enhancement is one of the most challenging tasks in computer vision, and it
is actively researched and used to solve various problems. Most of the time, image …

Images captured under low-light environments typically have poor visibility, affecting many
advanced computer vision tasks. In recent years, there have been some low-light image …

Absence of nearby light sources while capturing an image will degrade the visibility and
quality of the captured image, making computer vision tasks difficult. In this paper, a color …

Low-light image enhancement aims to recover normal-light images from the images
captured under very dim environments. Existing methods cannot well handle the noise, color …

Low-light image (LLI) enhancement is an important image processing task that aims at
improving the illumination of images taken under low-light conditions. Recently, a …

Images captured under low-light conditions usually have poor visual quality, and hence
greatly reduce the accuracy of subsequent tasks such as image segmentation and detection …

Images captured in low-light environments suffer from serious degradation due to insufficient
light, leading to the performance decline of industrial and civilian devices. To address the …

Camera sensors often fail to capture clear images or videos in a poorly lit environment. In
this paper, we propose a trainable hybrid network to enhance the visibility of such degraded …