• DocumentCode
    249406
  • Title

    A retinex-based enhancing approach for single underwater image

  • Author

    Xueyang Fu ; Peixian Zhuang ; Yue Huang ; Yinghao Liao ; Xiao-Ping Zhang ; Xinghao Ding

  • Author_Institution
    Dept. of Commun. Eng., Xiamen Univ., Xiamen, China
  • fYear
    2014
  • fDate
    27-30 Oct. 2014
  • Firstpage
    4572
  • Lastpage
    4576
  • Abstract
    Since the light is absorbed and scattered while traveling in water, color distortion, under-exposure and fuzz are three major problems of underwater imaging. In this paper, a novel retinex-based enhancing approach is proposed to enhance single underwater image. The proposed approach has mainly three steps to solve the problems mentioned above. First, a simple but effective color correction strategy is adopted to address the color distortion. Second, a variational framework for retinex is proposed to decompose the reflectance and the illumination, which represent the detail and brightness respectively, from single underwater image. An effective alternating direction optimization strategy is adopted to solve the proposed model. Third, the reflectance and the illumination are enhanced by different strategies to address the under-exposure and fuzz problem. The final enhanced image is obtained by combining use the enhanced reflectance and illumination. The enhanced result is improved by color correction, lightens dark regions, naturalness preservation, and well enhanced edges and details. Moreover, the proposed approach is a general method that can enhance other kinds of degraded image, such as sandstorm image.
  • Keywords
    geophysical image processing; image colour analysis; image enhancement; image representation; oceanographic techniques; optimisation; variational techniques; alternating direction optimization strategy; brightness representation; color correction strategy; color distortion problem; detail representation; edge enhancement; fuzz problem; illumination decomposition; naturalness preservation; reflectance decomposition; retinex-based enhancing approach; single underwater image enhancement; under-exposure problem; variational framework; Green products; Histograms; Image color analysis; Image restoration; Imaging; Lighting; Optimization; Underwater image; alternating direction optimization; image enhancement; retinex; variational framework;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2014 IEEE International Conference on
  • Conference_Location
    Paris
  • Type

    conf

  • DOI
    10.1109/ICIP.2014.7025927
  • Filename
    7025927