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Proceedings Paper

Image inpainting using layered fusion and exemplar-based
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Paper Abstract

Based on the original exemplar-based Criminisi algorithm, we proposed two points to improve the result of image inpainting. First, in order to solve the problem that the searched matching block existing in the optimal block search is not optimal, this paper proposes a fusion repair strategy. The first n blocks are selected as matching blocks in the search of the optimal block, and then the weighted averages are performed on the matching blocks, which is used as the target block to be repaired. Second, considering the size of the block to be repaired, a layered repair strategy is adopted. An image to be repaired is first downsampled to obtain images at different scales, and then repaired from the topmost image. The experimental results show that the proposed algorithm improves the quality of the repair subjectively and objectively.

Paper Details

Date Published: 18 November 2019
PDF: 8 pages
Proc. SPIE 11187, Optoelectronic Imaging and Multimedia Technology VI, 111871U (18 November 2019); doi: 10.1117/12.2538840
Show Author Affiliations
Keke Wang, Shanghai Institute for Advanced Communication and Data Science (China)
Shanghai Univ. (China)
Ran Ma, Shanghai Institute for Advanced Communication and Data Science (China)
Shanghai Univ. (China)
Dezhi Bo, Shanghai Institute for Advanced Communication and Data Science (China)
Shanghai Univ. (China)
Ping An, Shanghai Institute for Advanced Communication and Data Science (China)
Shanghai Univ. (China)


Published in SPIE Proceedings Vol. 11187:
Optoelectronic Imaging and Multimedia Technology VI
Qionghai Dai; Tsutomu Shimura; Zhenrong Zheng, Editor(s)

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