Volume 6 Issue 6
Dec.  2013
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WU Xiao-tian, LU Jian-feng, HE Bai-gen, WU Chuan, ZHU Ming. Fast restoration of haze-degraded image[J]. Chinese Optics, 2013, 6(6): 892-899. doi: 10.3788/CO.20130606.892
Citation: WU Xiao-tian, LU Jian-feng, HE Bai-gen, WU Chuan, ZHU Ming. Fast restoration of haze-degraded image[J]. Chinese Optics, 2013, 6(6): 892-899. doi: 10.3788/CO.20130606.892

Fast restoration of haze-degraded image

doi: 10.3788/CO.20130606.892
  • Received Date: 11 Sep 2013
  • Rev Recd Date: 13 Nov 2013
  • Publish Date: 10 Dec 2013
  • Under haze, fog, and rain weather conditions, the image received by a photoelectric imaging system will lose the contrast and color fidelity owing to the absorption and scattering in atmosphere. To overcome the image degradation mentioned above, this paper proposes a new dark channel image estimation method using morphology filter based on the analysis of the atmospheric optical model and the dark channel priority. It further utilizes a dynamic parameter strategy to solve the color distortion in a large area of sky or white wall. Results on a variety of outdoor haze images show that the proposed method can effectively restore a haze-degraded image and improve the image quality. As for the image with 600 pixel400 pixel, the restoration simulation time by Matlab is only 0.4 s. The dynamic parameter strategy is simple but effective to reduce the color distortion phenomenon.

     

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