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Convergence Rate of Overlapping Domain Decomposition Methods for the Rudin-Osher-Fatemi Model Based on a Dual Formulation.

H. Chang, X. Tai, L. Wang, and D. Yang. SIAM J. Imaging Sciences, 8 (1): 564-591 (2015)

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Domain Decomposition Methods for Nonlocal Total Variation Image Restoration.H. Chang, X. Zhang, X. Tai, and D. Yang. J. Sci. Comput., 60 (1): 79-100 (2014)Volume Preserved Mass-Spring Model with Novel Constraints for Soft Tissue Deformation.Y. Duan, W. Huang, H. Chang, W. Chen, J. Zhou, S. Teo, Y. Su, C. Chui, and S. Chang. IEEE J. Biomedical and Health Informatics, 20 (1): 268-280 (2016)The L0 Regularized Mumford-Shah Model for Bias Correction and Segmentation of Medical Images.Y. Duan, H. Chang, W. Huang, J. Zhou, Z. Lu, and C. Wu. IEEE Trans. Image Processing, 24 (11): 3927-3938 (2015)A Two-Stage Image Segmentation Method Using Euler's Elastica Regularized Mumford-Shah Model.Y. Duan, W. Huang, J. Zhou, H. Chang, and T. Zeng. ICPR, page 118-123. IEEE Computer Society, (2014)Iterative Joint Ptychography-Tomography with Total Variation Regularization.H. Chang, P. Enfedaque, and S. Marchesini. ICIP, page 2931-2935. IEEE, (2019)Deep prior-based sparse representation model for diffraction imaging: A plug-and-play method.B. Shi, Q. Lian, and H. Chang. Signal Processing, (2020)Domain Decomposition Methods for Total Variation Minimization.H. Chang, X. Tai, and D. Yang. EMMCVPR, volume 8932 of Lecture Notes in Computer Science, page 335-349. Springer, (2014)Variational Phase Retrieval with Globally Convergent Preconditioned Proximal Algorithm.H. Chang, S. Marchesini, Y. Lou, and T. Zeng. SIAM J. Imaging Sciences, 11 (1): 56-93 (2018)GPU-Based Implementation of Ptycho-ADMM for High Performance X-Ray Imaging.P. Enfedaque, H. Chang, H. Krishnan, and S. Marchesini. ICCS (1), volume 10860 of Lecture Notes in Computer Science, page 540-553. Springer, (2018)A Schwarz domain decomposition method with gradient projection for optimal control governed by elliptic partial differential equations.H. Chang, and D. Yang. J. Computational Applied Mathematics, 235 (17): 5078-5094 (2011)

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Convergence Rate of Overlapping Domain Decomposition Methods for the Rudin-Osher-Fatemi Model Based on a Dual Formulation.

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Convergence Rate of Overlapping Domain Decomposition Methods for the Rudin-Osher-Fatemi Model Based on a Dual Formulation.

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Convergence Rate of Overlapping Domain Decomposition Methods for the Rudin-Osher-Fatemi Model Based on a Dual Formulation.