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
- Laser & Optoelectronics Progress
- Vol. 57, Issue 24, 241016 (2020)
Fig. 1. 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)
Fig. 2. Target image estimation process
Fig. 3. Flowchart of PSF estimation algorithm
Fig. 4. Flowchart of MCBD algorithm
Fig. 5. “church” blurred images and restoration results. (a1)--(a3) Blurred images; (b) algorithm in Ref.[23]; (c) algorithm in Ref.[6]; (d) proposed algorithm
Fig. 6. “clock” blurred images and restoration results. (a1)--(a3) Blurred images; (b) algorithm in Ref.[23]; (c) algorithm in Ref.[6]; (d) proposed algorithm
Fig. 7. “architectural” blurred images and restoration results. (a1)--(a3) Blurred images; (b) algorithm in Ref.[23]; (c) algorithm in Ref.[6]; (d) proposed algorithm
Fig. 8. “bridge” blurred images and restoration results. (a1)--(a3) Blurred images; (b) algorithm in Ref.[23]; (c) algorithm in Ref.[6]; (d) proposed algorithm
Fig. 9. Real blurred images and restoration results. (a1)--(a3) Blurred images; (b) algorithm in Ref.[23]; (c) algorithm in Ref.[6]; (d) proposed algorithm
Fig. 10. Real blurred images and restoration results. (a1)--(a3) Blurred images; (b) algorithm in Ref.[23]; (c) algorithm in Ref.[6]; (d) proposed algorithm
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Table 1. Comparison of evaluation indexes of restored images
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Table 2. Comparison of evaluation indexes of restored images
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