articleIEEE Transactions on Image ProcessingFeb 7, 2017Closed access

Underwater Image Restoration Based on Image Blurriness and Light Absorption

YPYan‐Tsung PengPCPamela C. Cosman

University of California San Diego

PubMed
Indexed incrossrefpubmed

Abstract

Underwater images often suffer from color distortion and low contrast, because light is scattered and absorbed when traveling through water. Such images with different color tones can be shot in various lighting conditions, making restoration and enhancement difficult. We propose a depth estimation method for underwater scenes based on image blurriness and light absorption, which can be used in the image formation model (IFM) to restore and enhance underwater images. Previous IFM-based image restoration methods estimate scene depth based on the dark channel prior or the maximum intensity prior. These are frequently invalidated by the lighting conditions in underwater images, leading to poor restoration…

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Topics & keywords

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