Record Details

IMAGE-RESTORATION USING A MULTILAYER PERCEPTRON WITH A MULTILEVEL SIGMOIDAL FUNCTION

DSpace at IIT Bombay

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Title IMAGE-RESTORATION USING A MULTILAYER PERCEPTRON WITH A MULTILEVEL SIGMOIDAL FUNCTION
 
Creator SIVAKUMAR, K
DESAI, UB
 
Description 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.
 
Publisher IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
 
Date 2011-08-01T04:39:38Z
2011-12-26T12:53:16Z
2011-12-27T05:40:31Z
2011-08-01T04:39:38Z
2011-12-26T12:53:16Z
2011-12-27T05:40:31Z
1993
 
Type Article
 
Identifier IEEE TRANSACTIONS ON SIGNAL PROCESSING, 41(5), 2018-2022
1053-587X
http://dx.doi.org/10.1109/78.215329
http://dspace.library.iitb.ac.in/xmlui/handle/10054/8345
http://hdl.handle.net/10054/8345
 
Language en