In this paper, we propose an efficient and fast low-light image enhancement method using
an atmospheric scattering model based on an inverted low-light image. The transmission …

This paper proposes a Degradation-Aware Deep Retinex Network (DA-DRN) for enhancing
low-light images. DA-DRN is composed of a decomposition U-Net and an enhancement U …

Due to the traditional use of manual methods for the parameter adjustment of a nonlinear
beta transform, which is inefficient and unstable, an adaptive image enhancement algorithm …

In recent years, various segmentation models have been developed successively. However,
due to the limited availability of nighttime datasets and the complexity of nighttime scenes …

Our proposed RDHNet network model is based on semantic segmentation of nighttime
scenes and consists of three modules and a multi-head decoder. The three modules …