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Shock filters based on implicit cluster separation

DSpace at IIT Bombay

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Field Value
 
Title Shock filters based on implicit cluster separation
 
Creator NAMBOODIRI, VP
CHAUDHURI, S
 
Subject image-enhancement
anisotropic diffusion
mean shift
restoration
space
 
Description One of the classic problems in low level vision is image restoration. An important contribution toward this effort has been the development of shock filters by Osher and Rudin [15]. It performs image de-blurring using hyperbolic partial differential equations. In this paper we relate the notion of cluster separation from the field of pattern recognition to the shock filter formulation. A kind of shock filter is proposed based on the idea of gradient based separation of clusters. The proposed formulation is general enough as it can allow various models of density functions in the cluster separation process. The efficacy of the method is demonstrated through various examples.
 
Publisher IEEE COMPUTER SOC
 
Date 2011-10-27T19:47:19Z
2011-12-15T09:12:47Z
2011-10-27T19:47:19Z
2011-12-15T09:12:47Z
2005
 
Type Proceedings Paper
 
Identifier 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Vol 1, Proceedings,82-87
0-7695-2372-2
1063-6919
http://dspace.library.iitb.ac.in/xmlui/handle/10054/16402
http://hdl.handle.net/100/2895
 
Source Conference on Computer Vision and Pattern Recognition,San Diego, CA,JUN 20-25, 2005
 
Language English