Real-World Underwater Enhancement: Challenges, Benchmarks, and Solutions Under Natural Light

• Published in: IEEE transactions on circuits and systems for video technology Vol. 30; no. 12; pp. 4861 - 4875
• Main Authors: Liu, Risheng, Fan, Xin, Zhu, Ming, Hou, Minjun, Luo, Zhongxuan
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.12.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; benchmark; Benchmark testing; Benchmarks; Color; color cast; Datasets; Degradation; Histograms; Image classification; Image color analysis; Image enhancement; Image quality; Imaging; Natural lighting; object detection; Object recognition; Task analysis; Undersea; Underwater construction; Underwater image enhancement; Visibility; Vision
• ISSN: 1051-8215; 1558-2205
• DOI: 10.1109/TCSVT.2019.2963772

Underwater image enhancement is such an important low-level vision task with many applications that numerous algorithms have been proposed in recent years. These algorithms developed upon various assumptions demonstrate successes from various aspects using different data sets and different metrics....