Shock Filters based on Implicit Cluster Separation
Published in IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2005
Recommended citation: V.P. Namboodiri and S. Chaudhuri (2005). "Shock Filters based on Implicit Cluster Separation." Proc. of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR),San Diego June 2005, Page 1-6. http://vinaypn.github.io/files/cvpr05.pdf
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 (1990). It performs image deblurring 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.
Recommended citation: V.P. Namboodiri and S. Chaudhuri (2005). “Shock Filters based on Implicit Cluster Separation.” Proc. of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR),San Diego June 2005, Page 1-6.