• Acta Optica Sinica
  • Vol. 38, Issue 2, 0210001 (2018)
Chang Su1、2、*, Tianjiao Fu1, Xingxiang Zhang1, Jianyue Ren1, and Longxu Jin1
Author Affiliations
  • 1 Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun, Jilin 130033, China
  • 2 College of Materials Science and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing 100049, China
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    DOI: 10.3788/AOS201838.0210001 Cite this Article Set citation alerts
    Chang Su, Tianjiao Fu, Xingxiang Zhang, Jianyue Ren, Longxu Jin. Adaptively-Weighted Blind Image Restoration Algorithm Based on Energy Constraint[J]. Acta Optica Sinica, 2018, 38(2): 0210001 Copy Citation Text show less
    Weighted estimation model of optical transfer function
    Fig. 1. Weighted estimation model of optical transfer function
    Spectral comparison between clear images and blurred images. (a) Clear flat image; (b) blurred flat image; (c) spectra of flat images; (d) clear complex texture image; (e) blurred complex texture image; (f) spectra of complex texture images
    Fig. 2. Spectral comparison between clear images and blurred images. (a) Clear flat image; (b) blurred flat image; (c) spectra of flat images; (d) clear complex texture image; (e) blurred complex texture image; (f) spectra of complex texture images
    Blurred image of Lena and the restored images (partially enlarged). (a) Blurred image of Lena with α=0.1 and β=5/6; (b) A=0; (c) A=-0.5; (d) A=-1; (e) A=-1.5; (f) A=-2; (g) A=-2.5; (h) A=-3
    Fig. 3. Blurred image of Lena and the restored images (partially enlarged). (a) Blurred image of Lena with α=0.1 and β=5/6; (b) A=0; (c) A=-0.5; (d) A=-1; (e) A=-1.5; (f) A=-2; (g) A=-2.5; (h) A=-3
    Flow chart of energy-constrained adaptive restoration algorithm
    Fig. 4. Flow chart of energy-constrained adaptive restoration algorithm
    Image of Hill and the restored images. (a) The original image; (b) the blurred image with α=0.1 and β=2/3; (c) the restored image of APEX algorithm; (d) the restored image of proposed algorithm
    Fig. 5. Image of Hill and the restored images. (a) The original image; (b) the blurred image with α=0.1 and β=2/3; (c) the restored image of APEX algorithm; (d) the restored image of proposed algorithm
    Image of Lake and restored images. (a) The original image; (b) the noised degraded image with α=0.075 and β=5/6; (c) the restored image of APEX algorithm; (d) the restored image of proposed algorithm
    Fig. 6. Image of Lake and restored images. (a) The original image; (b) the noised degraded image with α=0.075 and β=5/6; (c) the restored image of APEX algorithm; (d) the restored image of proposed algorithm
    Multispectral remote sensing image and restored results of a port (partially enlarged). (a) The original multispectral remote sensing image; (b) the restored image of APEX algorithm; (c) the restored image of proposed algorithm
    Fig. 7. Multispectral remote sensing image and restored results of a port (partially enlarged). (a) The original multispectral remote sensing image; (b) the restored image of APEX algorithm; (c) the restored image of proposed algorithm
    Multispectral remote sensing image and restored results of an urban area (partially enlarged). (a) The original multispectral remote sensing image; (b) the restored image of APEX algorithm; (c) the restored image of the proposed algorithm
    Fig. 8. Multispectral remote sensing image and restored results of an urban area (partially enlarged). (a) The original multispectral remote sensing image; (b) the restored image of APEX algorithm; (c) the restored image of the proposed algorithm
    ImageAPEX algorithmProposed algorithm
    PSNRSSIMRuntime /sPSNRSSIMRuntime /s
    Hill18.25690.9017-23.96970.92122.4628
    Lake22.17960.7148-26.14550.84843.5953
    Table 1. Comparison of runtime and assessment criteria for restored images
    Chang Su, Tianjiao Fu, Xingxiang Zhang, Jianyue Ren, Longxu Jin. Adaptively-Weighted Blind Image Restoration Algorithm Based on Energy Constraint[J]. Acta Optica Sinica, 2018, 38(2): 0210001
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