Single image dehazing

Raanan Fattal*

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

670 Scopus citations

Abstract

In this paper we present a new method for estimating the optical transmission in hazy scenes given a single input image. Based on this estimation, the scattered light is eliminated to increase scene visibility and recover haze-free scene contrasts. In this new approach we formulate a refined image formation model that accounts for surface shading in addition to the transmission function. This allows us to resolve ambiguities in the data by searching for a solution in which the resulting shading and transmission functions are locally statistically uneorrelated. A similar principle is used to estimate the color of the haze. Results demonstrate the new method abilities to remove the haze layer as well as provide a reliable transmission estimate which can be used for additional applications such as image refocusing and novel view synthesis.

Original languageAmerican English
StatePublished - 2008
EventACM SIGGRAPH 2008 Papers 2008, SIGGRAPH'08 - Los Angeles, CA, United States
Duration: 11 Aug 200815 Aug 2008

Conference

ConferenceACM SIGGRAPH 2008 Papers 2008, SIGGRAPH'08
Country/TerritoryUnited States
CityLos Angeles, CA
Period11/08/0815/08/08

Keywords

  • Computational photography
  • Image dehazing/defogging
  • Image enhancement
  • Image restoration
  • Markov random field image modeling

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