Non-Uniform Illumination Underwater Image Restoration via Illumination Channel Sparsity Prior

University of Science and Technology Beijing · Ocean University of China · +2 more institutions

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Abstract

Underwater image quality is seriously degraded due to the insufficient light in water. Although artificial illumination can assist imaging, it often brings non-uniform illumination phenomenon. To this end, we develop an illumination channel sparsity prior (ICSP) guided variational framework for non-uniform illumination underwater image restoration. Technically, the illumination channel sparsity prior is built on the observation that the illumination channel of a uniform-light underwater image in HSI color space contains few pixels whose intensity is very low. Then according to the Retinex theory, we design a variational model with L0 norm term, constraint term, and gradient term, by integrating the proposed…

Citation impact

193
total citations
FWCI
22.23
Percentile
100%
References
63
Citations per year

Authors

6

Topics & keywords

Keywords
  • Image restoration
  • Computer vision
  • Computer science
  • Artificial intelligence
  • Channel (broadcasting)
  • Underwater
  • Image (mathematics)
  • Image processing
UN Sustainable Development Goals
  • Life below water
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