• Laser & Optoelectronics Progress
  • Vol. 57, Issue 12, 121020 (2020)
Yong Chen*, Yapeng Ai, and Jin Chen
Author Affiliations
  • School of Electronics and Information Engineering, Lanzhou Jiaotong University, Lanzhou, Gansu 730070, China
  • show less
    DOI: 10.3788/LOP57.121020 Cite this Article Set citation alerts
    Yong Chen, Yapeng Ai, Jin Chen. Dunhuang Mural Inpainting Algorithm Based on Information Entropy and Structural Characteristics[J]. Laser & Optoelectronics Progress, 2020, 57(12): 121020 Copy Citation Text show less
    Schematic of Criminisi algorithm principle
    Fig. 1. Schematic of Criminisi algorithm principle
    Schematic of difference in block structure to be repaired. (a) Block A to be repaired; (b) block B to be repaired
    Fig. 2. Schematic of difference in block structure to be repaired. (a) Block A to be repaired; (b) block B to be repaired
    Criminisi algorithm inpainting results. (a) Original image; (b) broken image; (c) Criminisi algorithm; (d) partial enlargement image
    Fig. 3. Criminisi algorithm inpainting results. (a) Original image; (b) broken image; (c) Criminisi algorithm; (d) partial enlargement image
    Comparison of inpainting results before and after algorithm improvement. (a) Original image; (b) broken image; (c) Criminisi algorithm; (d) proposed algorithm
    Fig. 4. Comparison of inpainting results before and after algorithm improvement. (a) Original image; (b) broken image; (c) Criminisi algorithm; (d) proposed algorithm
    Curves of relationship between weight parameters and average PSNR
    Fig. 5. Curves of relationship between weight parameters and average PSNR
    Comparison of effects of five algorithms on inpainting artificially broken murals. (a) Original images; (b) artificially adding broken images; (c) Criminisi algorithm; (d) algorithm in Ref. [12]; (e) algorithm in Ref. [17]; (f) algorithm in Ref. [18]; (g) proposed algorithm
    Fig. 6. Comparison of effects of five algorithms on inpainting artificially broken murals. (a) Original images; (b) artificially adding broken images; (c) Criminisi algorithm; (d) algorithm in Ref. [12]; (e) algorithm in Ref. [17]; (f) algorithm in Ref. [18]; (g) proposed algorithm
    Comparison of effects of five algorithms on inpainting real damage murals. (a) Original damage murals; (b) adding mask images; (c) Criminisi algorithm; (d) algorithm in Ref. [12]; (e) algorithm in Ref. [17]; (f) algorithm in Ref. [18]; (g) proposed algorithm
    Fig. 7. Comparison of effects of five algorithms on inpainting real damage murals. (a) Original damage murals; (b) adding mask images; (c) Criminisi algorithm; (d) algorithm in Ref. [12]; (e) algorithm in Ref. [17]; (f) algorithm in Ref. [18]; (g) proposed algorithm
    ImageCriminisiRef. [12]Ref.[17]Ref.[18]Proposed algorithm
    PSNR /dBSSIMTime /sPSNR /dBSSIMTime /sPSNR /dBSSIMTime /sPSNR /dBSSIMTime /sPSNR /dBSSIMTime /s
    134.930.910618936.450.911316736.210.912121436.320.911915437.230.9143136
    239.020.931230141.060.943624241.860.944737941.580.941723643.110.9538228
    331.380.932626933.830.933522533.960.934233134.120.941323934.380.9439183
    432.380.911742033.340.912433133.460.913651333.410.912834835.720.9245275
    Table 1. Comparison of inpainting results of different algorithms
    Yong Chen, Yapeng Ai, Jin Chen. Dunhuang Mural Inpainting Algorithm Based on Information Entropy and Structural Characteristics[J]. Laser & Optoelectronics Progress, 2020, 57(12): 121020
    Download Citation