DocumentCode
2521611
Title
A curvature constraint Exemplar-based image inpainting
Author
Qin, Yongbo ; Wang, Feng
Author_Institution
Sch. of Math. Sci., Capital Normal Univ., Beijing, China
fYear
2010
fDate
9-11 April 2010
Firstpage
263
Lastpage
267
Abstract
Digital image inpainting belongs to image recovery field, which is to fill the region where information is missing or to replace the missing region with different information. In this article, we mainly study the Exemplar-based method, which was proposed by Criminisi. The Exemplar-based method is to choose appropriate exemplar patches from a known image or the known region of the image waiting to be processed to fill the damaged region. By using Exemplar-based image inpainting method, we maintain the structure information by defining the priority for each unknown pixel and then complete pixels according to each pixel´s priority. In this article, we try to improve the Exemplar-based method aiming at undistinguished priority values and failure in inpainting regions which contain linear structure with significant changes in curvature. Meanwhile, we reasonably optimize the strategy for finding the most similar exemplar from the known region. As a result, our method acquires more reasonable results for some images with both structure and texture missing regions.
Keywords
image restoration; image texture; painting; curvature constraint; digital image inpainting; exemplar-based method; image recovery field; region filling; Data models; Digital images; Filling; Image decomposition; Image restoration; Painting; Partial differential equations; Pixel; Combinatorial Factor; Curvature; Exemplar; Image Inpainting; Linear Factor;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Analysis and Signal Processing (IASP), 2010 International Conference on
Conference_Location
Zhejiang
Print_ISBN
978-1-4244-5554-6
Electronic_ISBN
978-1-4244-5556-0
Type
conf
DOI
10.1109/IASP.2010.5476116
Filename
5476116
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