Publication Type
Conference Proceeding Article
Version
acceptedVersion
Publication Date
8-2009
Abstract
This paper describes an image inpainting approach based on the self-organizing map for dividing an image into several layers, assigning each damaged pixel to one layer, and then restoring these damaged pixels by the information of their respective layer. These inpainted layers are then fused together to provide the final inpainting results. This approach takes advantage of the neural network's ability of imitating human's brain to separate objects of an image into different layers for inpainting. The approach is promising as clearly demonstrated by the results in this paper.
Keywords
Image inpainting, Layer separation, Neural networks, SOM
Discipline
Artificial Intelligence and Robotics | Operations Research, Systems Engineering and Industrial Engineering
Research Areas
Intelligent Systems and Optimization
Publication
2009 5th International Conference on Natural Computation ICNC: August 14-16, Tianjin: Proceedings
Volume
3
First Page
459
Last Page
462
ISBN
9780769537368
Identifier
10.1109/ICNC.2009.127
Publisher
IEEE Computer Society
City or Country
Los Alamitos, CA
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/ICNC.2009.127
Included in
Artificial Intelligence and Robotics Commons, Operations Research, Systems Engineering and Industrial Engineering Commons