74 search results - page 9 / 15 » On Semismooth Newton's Methods for Total Variation Minimizat... |
SIAMIS
2010
14 years 4 months ago
2010
Abstract. We propose an algorithmic framework for computing global solutions of variational models with convex regularity terms that permit quite arbitrary data terms. While the mi...
94
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SIAMIS
2010
14 years 8 months ago
2010
In image processing, the Rudin-Osher-Fatemi (ROF) model [L. Rudin, S. Osher, and E. Fatemi, Physica D, 60(1992), pp. 259–268] based on total variation (TV) minimization has prove...
101
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SIAMIS
2008
14 years 9 months ago
2008
We are motivated by a recently developed nonlinear inverse scale space method for image denoising [5, 6], whereby noise can be removed with minimal degradation. The additive noise ...
114
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PR
2011
14 years 4 months ago
2011
Non-blind motion deblurring problems are highly ill-posed and so it is quite difficult to find the original sharp and clean image. To handle ill-posedness of the motion deblurrin...
103
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SIAMIS
2010
14 years 4 months ago
2010
We generalize the primal-dual hybrid gradient (PDHG) algorithm proposed by Zhu and Chan in [M. Zhu, and T. F. Chan, An Efficient Primal-Dual Hybrid Gradient Algorithm for Total Var...