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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wang Quan Wang Zhao-xia Chang Che Sau Yang Ting |
| Copyright Year | 2009 |
| Abstract | his paper describes an image in painting 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. |
| Starting Page | 459 |
| Ending Page | 462 |
| File Size | 1017725 |
| Page Count | 4 |
| File Format | |
| ISBN | 9780769537368 |
| DOI | 10.1109/ICNC.2009.127 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-08-14 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | TV Neurons Laboratories Humans neural networks image inpainting Image restoration layer separation Biological neural networks Multi-layer neural network SOM Neural networks Computer networks Pixel |
| Content Type | Text |
| Resource Type | Article |
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