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

Additional URL

https://doi.org/10.1109/ICNC.2009.127

Share

COinS