Journal of System Simulation
Abstract
Abstract: According to the fact that the murals of Fahai Temple in Beijing are missing in blocks and the missing area is structure information, a structure-enhancing digital image restoration algorithm is proposed to solve the problem of insufficient consideration of image structure information in Criminisi algorithm. When calculating the priority function of the filling block, the curvature calculation of the linear convolution is integrated into the data item, and the weight of the structure information is increased to achieve the goal of repairing the structure information-rich region in priority; the regional covariance method is introduced in the similarity calculation of the search matching block to ensure the consistency of the repaired image structure and reduce the matching error rate. Experimental results show that the algorithm can solve the problem on mural with strong structure.
Recommended Citation
Zhang, Ziying and Zhou, Hua
(2022)
"Research on Inpainting Algorithm of Digital Murals Based on Enhanced Structural Information,"
Journal of System Simulation: Vol. 34:
Iss.
7, Article 14.
DOI: 10.16182/j.issn1004731x.joss.21-0034
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol34/iss7/14
First Page
1524
Revised Date
2021-03-29
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.21-0034
Last Page
1531
CLC
TP391.4
Recommended Citation
Ziying Zhang, Hua Zhou. Research on Inpainting Algorithm of Digital Murals Based on Enhanced Structural Information[J]. Journal of System Simulation, 2022, 34(7): 1524-1531.
DOI
10.16182/j.issn1004731x.joss.21-0034
Included in
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