DocumentCode
2133011
Title
A structure first image inpainting approach based on self-organizing map (SOM)
Author
Bo, Chen ; Wang, Zhaoxia ; Ming, Bai ; Wang, Quan ; Zhen, Sun
Author_Institution
School of Electronics Information Engineering, Tianjin University of Technology, 300191, China
fYear
2010
fDate
4-6 Dec. 2010
Firstpage
1
Lastpage
4
Abstract
This paper presents a structure first image inpainting method based on self-organizing map (SOM). SOM is employed to find the useful structure information of the damaged image. The useful structure information which includes relevant edges of the image is used to simulate the structure information of the lost or damaged area in the image. The structure information is described by distinct or indistinct curves in an image in this paper. The obtained target curves separate the damaged area of the image into several parts. As soon as each part of the damaged image is restored respectively, the damaged image is inpainted. The efficiency of the proposed method is demonstrated by the simulation results.
Keywords
Artificial neural networks; Fitting; Image edge detection; Image restoration; Mathematical model; Neurons; Polynomials; curve fitting; image inpainting; neural networks; self-organizing map (SOM);
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location
Hangzhou, China
Print_ISBN
978-1-4244-7616-9
Type
conf
DOI
10.1109/ICISE.2010.5690599
Filename
5690599
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