computer-vision-1
UIE
3260 papers • 126 benchmarks • 313 datasets
Underwater image enhancement is a technique used to improve the quality of underwater images. Due to the unique properties of the underwater environment, images captured underwater often suffer from degradation caused by absorption and scattering of light. These effects can result in low contrast, blurred images with a dominant blue or green color cast. Enhancement techniques aim to correct these issues and improve the visibility within the image. These methods can include color correction to remove the color cast, contrast enhancement to improve the visibility of underwater objects, and dehazing techniques to reduce the scattering effect. These enhancements are crucial in various applications, including underwater exploration, marine biology research, underwater archaeology, and in improving the performance of underwater vision systems used in autonomous underwater vehicles.
(Image credit: Papersgraph)
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CoNLL 2003
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U-Shape Transformer for Underwater Image Enhancement
Lintao Peng, Chunli Zhu, Liheng Bian•Mon Nov 22 2021
A large scale underwater image (LSUI) dataset is built, which covers more abundant underwater scenes and better visual quality reference images than existing underwater datasets and a novel loss function combining RGB, LAB and LCH color spaces is designed following the human vision principle.
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