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International Journal of Computer Mathematics Volume 90, 2013 - Issue 1: VARIATIONAL IMAGE PROCESSING MODELS AND APPLICATIONS
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Original Articles

Convergence analysis of SART: optimization and statistics

Ming Yan Department of Mathematics, University of California, Los Angeles, CA, 90095, USACorrespondence[email protected]
Pages 30-47 | Received 08 Jan 2012, Accepted 03 Jul 2012, Published online: 08 Aug 2012

Citations (6)

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Ke Chen. (2013) Introduction to variational image-processing models and applications. International Journal of Computer Mathematics 90:1, pages 1-8.
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Articles from other publishers (5)

Yun Chen, Yao Lu, Xiangyuan Ma & Yuesheng Xu. (2022) A content-adaptive unstructured grid based regularized CT reconstruction method with a SART-type preconditioned fixed-point proximity algorithm. Inverse Problems 38:3, pages 035005.
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Guangming Zang, Ramzi Idoughi, Congli Wang, Anthony Bennett, Jianguo Du, Scott Skeen, William L. Roberts, Peter Wonka & Wolfgang Heidrich. (2020) TomoFluid: Reconstructing Dynamic Fluid From Sparse View Videos. TomoFluid: Reconstructing Dynamic Fluid From Sparse View Videos.
Sun, Zhang, Li & Meng. (2019) A Novel Blind Restoration and Reconstruction Approach for CT Images Based on Sparse Representation and Hierarchical Bayesian-MAP. Algorithms 12:8, pages 174.
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Paniz Karbasi, Keith E. Schubert, Blake Schultze, Vladimir Bashkirov, Robert P. Johnson & Reinhard W. Schulte. Robust iterative methods: Convergence and applications to proton computed tomography. Robust iterative methods: Convergence and applications to proton computed tomography.
Ming Yan, Alex A. T. Bui, Jason Cong & Luminita Vese. (2013) General convergent expectation maximization (EM)-type algorithms for image reconstruction. Inverse Problems and Imaging 7:3, pages 1007-1029.
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