Iterative Image Restoration Combining Total Variation Minimization and a Second-Order Functional

Author:

Lysaker Marius,Tai Xue-Cheng

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Reference21 articles.

1. Bertozzi, A.L. and Greer, J.B. 2003. Low curvature image simplifiers: Global regularity of smooth solutions and laplacian limiting schemes. Tech. rep. (03–26), UCLA, Applied mathematics.

2. Chambolle, A. and Lions, P-L. 1997. Image recovery via total variation minimization and related problems. Numerische Matematik, 76:167–188.

3. Chan, T., Marquina, A., and Mulet, P. 2000. High-order total variation-based image restoration. SIAM Journal on Scientific Computation, 22:503–516.

4. Giusti, E. 1998. Minimal Surface and Functions of Bounded Variations. Boston, Birkhäuser.

5. Greer, J.B. and Bertozzi, A.L. 2004. H1 solutions of a class of fourth order nonlinear equations for image processing. Discrete and continuous dynamical systems 2004, special issue in honor of Mark Vishik, Editors: V. Chepyzhov, M. Efendiev, Alain Miranville and Roger Temam, 1–2(10): 349–366.

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