Single image dehazing

Raanan Fattal*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1539 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 uncorrelated. 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
Article number72
JournalACM Transactions on Graphics
Volume27
Issue number3
DOIs
StatePublished - 1 Aug 2008

Keywords

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

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