Paper Info
Title
Damaged region filling and evaluation by symmetrical exemplar-based image inpainting for Thangka.
Abstract
Exemplar-based image inpainting, as proposed by Criminisi et al. (IEEE Trans Image Process 13(9):1200–1212, 2004), fills missing regions by using a similar exemplar. However, when the missing region is a unique texture patch, an incorrect texture is filled in the missing region because a similar exemplar of damaged patch could not be found. A new image inpainting method based on an eight-direction or arbitrary direction symmetrical exemplar is proposed, suitable for damaged images containing local symmetry. The following three steps are the keys of this method. (1) According to certain similarity criteria, the symmetrical exemplars of damaged regions in eight directions or arbitrary directions are found. (2) The most similar symmetrical exemplar is selected from eight-direction or arbitrary-direction symmetrical exemplars. (3) Finally, the damaged region is filled using the most similar symmetrical exemplar. It is shown that the results of image inpainting are good when missing image regions have similar symmetry. Image inpainting is a single, efficient method. In addition, a new evaluation method of image restoration results based on similar exemplars is proposed for the inpainting effect, which is closely related to the repair algorithm. Therefore, the methods can more objectively measure the inpainting effect.
Year
DOI
Venue
2017
10.1186/s13640-017-0186-1
EURASIP J. Image and Video Processing
Keywords
Field
DocType
Symmetrical exemplar-based,Symmetrical similarity,Image inpainting,Objective evaluation
Computer vision,Pattern recognition,Computer science,Inpainting,Artificial intelligence,Image restoration,Biometrics,Thangka,Local symmetry
Journal
Volume
Issue
ISSN
2017
1
1687-5176
Citations 
PageRank 
References 
2
0.37
15
Authors
2
Name
Order
Citations
PageRank
Weilan Wang1911.75
Yanjun Jia220.37