JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2017, Vol. 52 ›› Issue (3): 32-37.doi: 10.6040/j.issn.1671-9352.0.2016.445

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The inpainting of affine similarity damaged image based on structure automatic match

YU Wen-jing, BI Dong-xu, YAN Xue-feng*   

  1. School of informationScience and Engineer, East China University of Science and Technology, Shanghai 200237, China
  • Received:2016-09-18 Online:2017-03-20 Published:2017-03-20

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Abstract: Based on the character of image structure sparsity, the image structure sparsity operator was defined which can map from original image to structure image. According to the property of the sparse distribution of the similar structure offsets in affine similarity image, this paper indicates the distribution character of similar structure offsets through scientific statistics, with the objective of adaptively winning the superior matching region to the broken region. Experimental results show that the algorithm can achieve the structure match adaptively and can complete the affine broken image effectively.

Key words: automatic match, structure sparsity operator, affine similarity

CLC Number: 

  • TP391
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