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Vectorial Total Variation-Based Regularization for Variational Image Registration

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1 Author(s)
Chumchob, N. ; Dept. of Math., Silpakorn Univ., Nakorn Pathom, Thailand

To use interdependence between the primary components of the deformation field for smooth and non-smooth registration problems, the channel-by-channel total variation- or standard vectorial total variation (SVTV)-based regularization has been extended to a more flexible and efficient technique, allowing high quality regularization procedures. Based on this method, this paper proposes a fast nonlinear multigrid (NMG) method for solving the underlying Euler-Lagrange system of two coupled second-order nonlinear partial differential equations. Numerical experiments using both synthetic and realistic images not only confirm that the recommended VTV-based regularization yields better registration qualities for a wide range of applications than those of the SVTV-based regularization, but also that the proposed NMG method is fast, accurate, and reliable in delivering visually-pleasing registration results.

Published in:

Image Processing, IEEE Transactions on  (Volume:22 ,  Issue: 11 )

Date of Publication:

Nov. 2013

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