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Single image dehazing based on detail loss compensation and degradation

  • Hong Zhang*
  • , Jiafeng Li
  • , Lu Li
  • , Yuecheng Li
  • , Qian Zhao
  • , Yuhu You
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Most image dehazing methods are based on the dichromatic atmospheric scattering model. However, this model cannot explain blurring effects. In this paper, we present a detail loss compensating model, based on the analysis of multiple scattering model. By assuming that the foggy image has less detail than the image captured on a clear day, we use the Laplacian template and present a smoothing point spread function to estimate the detail loss of a foggy image. The fog noise is subsequently obtained based on the estimated detail loss, and the inherent radiance of the scene can therefore be restored. Experimental results show that our method have good dehazing effect and enhance the image sharpness to a certain extent.

Original languageEnglish
Title of host publicationProceedings - 4th International Congress on Image and Signal Processing, CISP 2011
Pages807-811
Number of pages5
DOIs
StatePublished - 2011
Event4th International Congress on Image and Signal Processing, CISP 2011 - Shanghai, China
Duration: 15 Oct 201117 Oct 2011

Publication series

NameProceedings - 4th International Congress on Image and Signal Processing, CISP 2011
Volume2

Conference

Conference4th International Congress on Image and Signal Processing, CISP 2011
Country/TerritoryChina
CityShanghai
Period15/10/1117/10/11

Keywords

  • Detail loss compensation
  • Multiple Scattering Model
  • real-time processing
  • single image dehazing

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