LVE-S2D: Low-Light Video Enhancement From Static to Dynamic

• Published in: IEEE transactions on circuits and systems for video technology Vol. 32; no. 12; pp. 8342 - 8352
• Main Authors: Peng, Bo, Zhang, Xuanyu, Lei, Jianjun, Zhang, Zhe, Ling, Nam, Huang, Qingming
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.12.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Correlation; Deep learning; Frames (data processing); Histograms; Image enhancement; Light; Lighting; Low-light video enhancement; sliding window; Task analysis; temporal correlation; Training; Video; Video sequences

Recently, deep-learning-based low-light video enhancement methods have drawn wide attention and achieved remarkable performance. However, limited by the difficulty in collecting dynamic low-light and well-lighted video pairs in real scenes, how to construct video sequences for supervised learning an...