DocumentCode
130911
Title
Image inpainting based on wavelet transformation
Author
Yongsheng Xu ; Shuwen Wang
Author_Institution
Coll. of Electr. Eng., Northwest Univ. for Nat., Lanzhou, China
fYear
2014
fDate
27-29 June 2014
Firstpage
541
Lastpage
544
Abstract
During the time of manual image repair, people tend to follow the principle of the first repair after the overall structure repair of texture details. In this paper, taking into account that the partial differential equation model has strong capacity of keeping linear structure, and texture synthesis model has good effect in repairing the texture information, the defect image is decomposed into structural image and texture image by wavelet transformation, and then the structural image is repaired by partial differential equation model; the texture image is repaired by texture synthesis technique. The experimental results show that the algorithm can effectively improve the quality of image inpainting.
Keywords
image texture; partial differential equations; wavelet transforms; defect image decomposition; image inpainting quality improvement; linear structure; partial differential equation model; structural image repair; texture image repair; texture synthesis model; wavelet transformation; Educational institutions; Image reconstruction; Maintenance engineering; Mathematical model; Partial differential equations; TV; Wavelet transforms; image inpainting; texture synthesis; total variation; wavelet transform;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering and Service Science (ICSESS), 2014 5th IEEE International Conference on
Conference_Location
Beijing
ISSN
2327-0586
Print_ISBN
978-1-4799-3278-8
Type
conf
DOI
10.1109/ICSESS.2014.6933625
Filename
6933625
Link To Document