Laser & Optoelectronics Progress, Volume. 59, Issue 18, 1810016(2022)
Adaptive Depth Image Hole Repair Algorithm Considering Edge Blending Feature
Figures & Tables(6)
Fig. 3. Repair results of artificially added holes. (a) Hole images; (b) repair results of MF algorithm; (c) repair results of AJBF algorithm; (d) repair results of proposed algorithm
Fig. 4. Repair results of natural holes. (a) Hole images; (b) repair results of MF algorithm; (c) repair results of AJBF algorithm; (d) repair results of proposed algorithm
Fig. 5. Comparison of repair results. (a) Local details of original images; (b) local details of MF algorithm; (c) local details of AJBF algorithm; (d) local details of proposed algorithm
Table 1. Comparison table of quantitative indicators of three algorithms
View tableTable 1. Comparison table of quantitative indicators of three algorithms
Algorithm Scene MF AJBF Proposed algorithm PNSR Art 14.09 20.41 21.70 Dolls 14.64 17.40 25.58 Moebius 18.91 22.47 26.52 RMSE Art 50.33 24.32 20.96 Dolls 47.26 34.39 13.41 Moebius 28.92 20.38 10.55
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Guangjian Wang, Deer Liu. Adaptive Depth Image Hole Repair Algorithm Considering Edge Blending Feature[J]. Laser & Optoelectronics Progress, 2022, 59(18): 1810016
Paper Information
Category: Image Processing
Received: Jun. 11, 2021
Accepted: Aug. 25, 2021
Published Online: Aug. 30, 2022
The Author Email: Liu Deer (landserver@163.com)
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