• Opto-Electronic Engineering
  • Vol. 43, Issue 2, 82 (2016)
FU Hui, WU Bin, ZHANG Hongying, and XU Jin
Author Affiliations
  • [in Chinese]
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    DOI: 10.3969/j.issn.1003-501x.2016.02.014 Cite this Article
    FU Hui, WU Bin, ZHANG Hongying, XU Jin. Fast Image Dehazing Based on Dark-chanel Physical Model[J]. Opto-Electronic Engineering, 2016, 43(2): 82 Copy Citation Text show less

    Abstract

    In order to overcome the defects of the traditional de-hazing algorithm based on dark channel, such as a long working time, high complexity, bad image quality, and so on, an improved algorithm is proposed. This proposed algorithm firstly uses edge detection and quad-tree algorithms to locate the interval of the atmospheric light A fast and uses the skyline algorithm to obtain the value of A precisely. Then, use the improved Wiener filter, which has the abilities of de-noising and edge preserving, to inhibit halo effect of the transmission. Finally, optimize the edge information of the transmission by dilation and erosion. A plenty of experimental results show that the improved algorithm has a better visual effect and a lower time consumption comparing with the traditional de-hazing algorithms.
    FU Hui, WU Bin, ZHANG Hongying, XU Jin. Fast Image Dehazing Based on Dark-chanel Physical Model[J]. Opto-Electronic Engineering, 2016, 43(2): 82
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