Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
12-2010
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
Curve fitting, Image inpainting, Neural networks, Self-organizing map (SOM)
Discipline
Numerical Analysis and Scientific Computing | Operations Research, Systems Engineering and Industrial Engineering
Research Areas
Intelligent Systems and Optimization
Publication
2010 2nd International Conference on Information Science and Engineering (ICISE): 4-6 December, Hangzhou, China: Proceedings
First Page
1
Last Page
4
ISBN
9781424480968
Identifier
10.1109/ICISE.2010.5690599
Publisher
IEEE
City or Country
Piscataway, NJ
Citation
1
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1109/ICISE.2010.5690599
Included in
Numerical Analysis and Scientific Computing Commons, Operations Research, Systems Engineering and Industrial Engineering Commons