articleACM Transactions on GraphicsDec 29, 2014Closed access

Dehazing Using Color-Lines

Hebrew University of Jerusalem

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Abstract

Photographs of hazy scenes typically suffer having low contrast and offer a limited visibility of the scene. This article describes a new method for single-image dehazing that relies on a generic regularity in natural images where pixels of small image patches typically exhibit a 1D distribution in RGB color space, known as color-lines. We derive a local formation model that explains the color-lines in the context of hazy scenes and use it for recovering the scene transmission based on the lines' offset from the origin. The lack of a dominant color-line inside a patch or its lack of consistency with the formation model allows us to identify and avoid false predictions. Thus, unlike existing approaches that…

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Topics & keywords

Keywords
  • Computer science
  • Pixel
  • Artificial intelligence
  • RGB color model
  • Computer vision
  • Markov random field
  • Offset (computer science)
  • Color image
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