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Title Shock filters based on implicit cluster separation
 
Names NAMBOODIRI, VP
CHAUDHURI, S
Date Issued 2005 (iso8601)
Abstract 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.
Genre Proceedings Paper
Topic Image-Enhancement
Identifier 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Vol 1, Proceedings,82-87