Laser & Optoelectronics Progress, Volume. 57, Issue 24, 241016(2020)

Blind Restoration of Multi-Channel Images Based on Total Variation and Dark Pixels

Haoran Hu, Hui Liu*, and Huan Huang
Author Affiliations
  • Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, Yunnan 650000, China
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    Figures & Tables(12)
    Comparison of dark pixel sparseness between blurred image and clear image. (a) Clear image; (b) blurred image; (c) dark channel image of Fig.1(a); (d) dark channel image of Fig.1(b)
    Target image estimation process
    Flowchart of PSF estimation algorithm
    Flowchart of MCBD algorithm
    “church” blurred images and restoration results. (a1)--(a3) Blurred images; (b) algorithm in Ref.[23]; (c) algorithm in Ref.[6]; (d) proposed algorithm
    “clock” blurred images and restoration results. (a1)--(a3) Blurred images; (b) algorithm in Ref.[23]; (c) algorithm in Ref.[6]; (d) proposed algorithm
    “architectural” blurred images and restoration results. (a1)--(a3) Blurred images; (b) algorithm in Ref.[23]; (c) algorithm in Ref.[6]; (d) proposed algorithm
    “bridge” blurred images and restoration results. (a1)--(a3) Blurred images; (b) algorithm in Ref.[23]; (c) algorithm in Ref.[6]; (d) proposed algorithm
    Real blurred images and restoration results. (a1)--(a3) Blurred images; (b) algorithm in Ref.[23]; (c) algorithm in Ref.[6]; (d) proposed algorithm
    Real blurred images and restoration results. (a1)--(a3) Blurred images; (b) algorithm in Ref.[23]; (c) algorithm in Ref.[6]; (d) proposed algorithm
    • Table 1. Comparison of evaluation indexes of restored images

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      Table 1. Comparison of evaluation indexes of restored images

      PictureAlgorithm in Ref.[23]Algorithm in Ref.[6]Proposed algorithm
      SSIMPSNR /dBSSIMPSNR /dBSSIMPSNR /dB
      “church”0.749226.37440.628424.40550.698825.6721
      “clock”0.628620.80010.553520.12900.651722.0581
    • Table 2. Comparison of evaluation indexes of restored images

      View table

      Table 2. Comparison of evaluation indexes of restored images

      PictureAlgorithm in Ref.[23]Algorithm in Ref.[6]Proposed algorithm
      SSIMPSNR /dBSSIMPSNR /dBSSIMPSNR /dB
      “architectural”0.615825.68430.559225.19190.570631.0540
      “bridge”0.771827.85740.607328.17600.609028.3548
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    Haoran Hu, Hui Liu, Huan Huang. Blind Restoration of Multi-Channel Images Based on Total Variation and Dark Pixels[J]. Laser & Optoelectronics Progress, 2020, 57(24): 241016

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    Paper Information

    Category: Image Processing

    Received: Apr. 7, 2020

    Accepted: Jun. 24, 2020

    Published Online: Nov. 25, 2020

    The Author Email: Liu Hui (liuhui@ynao.ac.cn)

    DOI:10.3788/LOP57.241016

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