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Colorimetric Screening of the Haze Model Limits

  • Jessica El Khoury
  • Jean-Baptiste Thomas
  • Alamin Mansouri
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10884)

Abstract

The haze model, which describes the degradation of atmospheric visibility, is a good approximation for a wide range of weather conditions and several situations. However, it misrepresents the perceived scenes and causes therefore undesirable results on dehazed images at high densities of fog. In this paper, using data from CHIC database, we investigate the possibility to screen the regions of the hazy image, where the haze model inversion is likely to fail in providing perceptually recognized colors. This study is done upon the perceived correlation between the atmospheric light color and the objects’ colors at various fog densities. Accordingly, at high densities of fog, the colors are badly recovered and do not match the original fog-free image. At low fog densities, the haze model inversion provides acceptable results for a large panel of colors.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Jessica El Khoury
    • 1
  • Jean-Baptiste Thomas
    • 1
  • Alamin Mansouri
    • 1
  1. 1.Le2i, FRE CNRS 2005Université Bourgogne Franche-ComtéDijonFrance

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