DEANet: Decomposition Enhancement and Adjustment Network for Low-Light Image Enhancement

Poor illumination greatly affects the quality of obtained images. In this paper, a novel convolutional neural network named DEANet is proposed on basis Retinex for low-light image enhancement. combines frequency and content information images divided into three subnetworks: decomposition, enhancement, adjustment networks, which perform decomposition; denoising, contrast detail preservation; generation, respectively. The model trained public LOL dataset, experimental results show that it outperforms existing state-of-the-art methods regarding visual effects quality.