Multilayer image inpainting approach based on neural networks
5th International Conference on Natural Computation, ICNC 2009, Vol: 3, Page: 459-462
2009
- 13Citations
- 41Usage
- 6Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Metrics Details
- Citations13
- Citation Indexes13
- 13
- Usage41
- Downloads37
- Abstract Views4
- Captures6
- Readers6
Conference Paper Description
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. © 2009 IEEE.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=77950623256&origin=inward; http://dx.doi.org/10.1109/icnc.2009.127; http://ieeexplore.ieee.org/document/5365626/; http://xplorestaging.ieee.org/ielx5/5362492/5362587/05365626.pdf?arnumber=5365626; https://ink.library.smu.edu.sg/sis_research/5554; https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=6557&context=sis_research
Institute of Electrical and Electronics Engineers (IEEE)
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