Laser & Optoelectronics Progress, Volume. 57, Issue 24, 241016(2020)
Blind Restoration of Multi-Channel Images Based on Total Variation and Dark Pixels
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. 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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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
Category: Image Processing
Received: Apr. 7, 2020
Accepted: Jun. 24, 2020
Published Online: Nov. 25, 2020
The Author Email: Hui Liu (liuhui@ynao.ac.cn)