Seminario del 2012

Settembre
04
2012
prof. Ke Chen University of Liverpool
Mean curvature regularization with application in deformable registration models
analisi numerica
Image registration is anther important task in image processing, where regularization is a major issue in designing new models. The total variation (TV) semi-norm based regularization is much well-known for image denoising and also useful in registration modelling, with recent work generalised with the help of Bregman distance. However mean curvature regularization serves as a strong competitor to the TV. In this talk, I shall first review the mean curvature model by Lysaker-Osher-Tai (2004) and the related Zhu-Chan (2008,2012) models for image denoising. Then I briefly discuss 2 ways of speeding up the computational convergence. Finally I show how to use the mean curvature to minimize the deformation fields in a registration model and highlight the advantages of the resulting new model.
organizzato da: elena loli piccolomini

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