An Underwater Image Enhancement Benchmark Dataset and Beyond

Underwater image enhancement has been attracting much attention due to its significance in marine engineering and aquatic robotics. Numerous underwater image enhancement algorithms have been proposed in the last few years. However, these algorithms are mainly evaluated using either synthetic dataset...

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Vydané v:	IEEE transactions on image processing Ročník 29; s. 4376 - 4389
Hlavní autori:	Li, Chongyi, Guo, Chunle, Ren, Wenqi, Cong, Runmin, Hou, Junhui, Kwong, Sam, Tao, Dacheng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.01.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Artificial neural networks Benchmarks comprehensive evaluation Convolutional neural networks Datasets Deep learning Image acquisition Image enhancement Image restoration Marine engineering Object detection real-world underwater images Robotics State-of-the-art reviews Statistical analysis Underwater construction Underwater image enhancement Underwater technology
ISSN:	1057-7149, 1941-0042, 1941-0042
On-line prístup:	Získať plný text
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