Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICNC.2009.127
Title: Multilayer image inpainting approach based on neural networks
Authors: Wang, Q.
Wang, Z.-X. 
Chang, C.S. 
Yang, T.
Keywords: Image inpainting
Layer separation
Neural networks
SOM
Issue Date: 2009
Source: Wang, Q.,Wang, Z.-X.,Chang, C.S.,Yang, T. (2009). Multilayer image inpainting approach based on neural networks. 5th International Conference on Natural Computation, ICNC 2009 3 : 459-462. ScholarBank@NUS Repository. https://doi.org/10.1109/ICNC.2009.127
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. © 2009 IEEE.
Source Title: 5th International Conference on Natural Computation, ICNC 2009
URI: http://scholarbank.nus.edu.sg/handle/10635/71042
ISBN: 9780769537368
DOI: 10.1109/ICNC.2009.127
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