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Please use this identifier to cite or link to this item: http://dspace.library.iitb.ac.in/jspui/handle/10054/8345

Title: IMAGE-RESTORATION USING A MULTILAYER PERCEPTRON WITH A MULTILEVEL SIGMOIDAL FUNCTION
Authors: SIVAKUMAR, K
DESAI, UB
Issue Date: 1993
Publisher: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation: IEEE TRANSACTIONS ON SIGNAL PROCESSING, 41(5), 2018-2022
Abstract: The problem of restoring a blurred and noisy image having many gray levels, without any knowledge of the blurring function and the statistics of the additive noise, is considered. A multilevel sigmoidal function is used as the node nonlinearity, due to which the same number of nodes as in the case of a binary image is sufficient for an image with multiple gray levels. Restoration is achieved by exploiting the generalization capabilities of the multilayer perceptron network. For realistic images, training time becomes a major burden. To overcome this, a segmentation scheme is suggested. Simulation results are also provided.
URI: http://dx.doi.org/10.1109/78.215329
http://dspace.library.iitb.ac.in/xmlui/handle/10054/8345
http://hdl.handle.net/10054/8345
ISSN: 1053-587X
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