Low-light image and video enhancement using deep learning: a survey

• Main Authors: Li, Chongyi, Guo, Chunle, Han, Linghao, Jiang, Jun, Cheng, Ming-Ming, Gu, Jinwei, Loy, Chen Change
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2023
• Subjects: Engineering::Computer science and engineering; Computational Photography; Deep Learning
• Online Access: https://hdl.handle.net/10356/170345
• Institution: Nanyang Technological University

Low-light image enhancement (LLIE) aims at improving the perception or interpretability of an image captured in an environment with poor illumination. Recent advances in this area are dominated by deep learning-based solutions, where many learning strategies, network structures, loss functions, trai...