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...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE transactions on image processing Vol. 29; pp. 4376 - 4389
Main Authors:	Li, Chongyi, Guo, Chunle, Ren, Wenqi, Cong, Runmin, Hou, Junhui, Kwong, Sam, Tao, Dacheng
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.01.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!