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A modular integration and multiresolution framework for image restoration

DSpace at IIT Bombay

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Title A modular integration and multiresolution framework for image restoration
 
Creator KUMAR, KS
NANDA, PK
DESAI, UB
 
Description We present a framework based on modular integration and multiresolution for restoring images. We model the image as a Markov random field (MRF) and propose a restoration algorithm. In essence, the problem of image restoration requires learning of the MRF model and noise parameters which are used to restore degraded images. In the developed scheme, there exists interaction between the model learning module and the image restoration module. A method based on homotopy continuation is used for unsupervised model learning and the restoration is achieved through the minimization of an energy function.
 
Publisher IEEE
 
Date 2011-10-25T12:10:26Z
2011-12-15T09:11:53Z
2011-10-25T12:10:26Z
2011-12-15T09:11:53Z
1997
 
Type Proceedings Paper
 
Identifier IEEE TENCON'97 - IEEE REGIONAL 10 ANNUAL CONFERENCE, PROCEEDINGS, VOLS 1 AND 2: SPEECH AND IMAGE TECHNOLOGIES FOR COMPUTING AND TELECOMMUNICATIONS,21-24
0-7803-4365-4
0886-1420
http://dspace.library.iitb.ac.in/xmlui/handle/10054/15716
http://hdl.handle.net/100/2357
 
Source IEEE Region 10 Annual Conference on Speech and Image Technologies for Computing and Telecommunications (IEEE TENCON 97),BRISBANE, AUSTRALIA,DEC 02-04, 1997
 
Language English