Controlled Total Variation regularization for inverse problems

Details Controlled Total Variation regularization for inverse problems Controlled Total Variation regularization for inverse problems

2011-10-14

arxiv.org/abs/1110.3194v1

Computer Science

Computer Vision and Pattern Recognition

10 pages, 10 figures and 2 tables

Scientific paper

This paper provides a new algorithm for solving inverse problems, based on the minimization of the $L^2$ norm and on the control of the Total Variation. It consists in relaxing the role of the Total Variation in the classical Total Variation minimization approach, which permits us to get better approximation to the inverse problems. The numerical results on the deconvolution problem show that our method outperforms some previous ones.

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