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
Link To Document :
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