articleIEEE Transactions on Image ProcessingJan 1, 2023Closed access

U-Shape Transformer for Underwater Image Enhancement

Beijing Institute of Technology

PubMed
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Abstract

The light absorption and scattering of underwater impurities lead to poor underwater imaging quality. The existing data-driven based underwater image enhancement (UIE) techniques suffer from the lack of a large-scale dataset containing various underwater scenes and high-fidelity reference images. Besides, the inconsistent attenuation in different color channels and space areas is not fully considered for boosted enhancement. In this work, we built a large scale underwater image (LSUI) dataset, which covers more abundant underwater scenes and better visual quality reference images than existing underwater datasets. The dataset contains 4279 real-world underwater image groups, in which each raw image's clear…

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Authors

3

Topics & keywords

Keywords
  • Underwater
  • Computer science
  • Artificial intelligence
  • Computer vision
  • RGB color model
  • Transformer
  • Segmentation
  • Color space
UN Sustainable Development Goals
  • Life below water
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