• DocumentCode
    10898
  • Title

    An Advanced Single-Image Visibility Restoration Algorithm for Real-World Hazy Scenes

  • Author

    Shih-Chia Huang ; Jian-Hui Ye ; Bo-Hao Chen

  • Author_Institution
    Dept. of Electron. Eng., Nat. Taipei Univ. of Technol., Taipei, Taiwan
  • Volume
    62
  • Issue
    5
  • fYear
    2015
  • fDate
    May-15
  • Firstpage
    2962
  • Lastpage
    2972
  • Abstract
    Images captured during sandstorm conditions frequently feature degraded visibility and undesirable color cast effects. In such situations, traditional visibility restoration approaches usually cannot adequately restore images due to poor estimation of haze thickness and the persistence of color cast problems. In this paper, we present a novel Laplacian-based visibility restoration approach to effectively solve inadequate haze thickness estimation and alleviate color cast problems. By doing so, a high-quality image with clear visibility and vivid color can be generated. Experimental results via qualitative and quantitative evaluations demonstrate that the proposed method can dramatically improve images captured during inclement weather conditions and produce results superior to those of other state-of-the-art methods.
  • Keywords
    image capture; image colour analysis; image enhancement; image restoration; storms; Laplacian-based visibility restoration approach; advanced single-image visibility restoration algorithm; color cast effects; high-quality image clear visibility; high-quality image vivid color; image capture improvement; real-world hazy scenes; sandstorm conditions; visibility degradation; Digital cameras; Estimation; Histograms; Image color analysis; Image restoration; Laplace equations; Meteorology; Gamma correction; Laplacian distribution; Retinex theory; gamma correction; visibility restoration;
  • fLanguage
    English
  • Journal_Title
    Industrial Electronics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0046
  • Type

    jour

  • DOI
    10.1109/TIE.2014.2364798
  • Filename
    6936314