Interior Tomography Using 1D Generalized Total Variation. Part II: Multiscale Implementation

DOI10.1137/15M1015881zbMath1328.65267OpenAlexW1882111414MaRDI QIDQ3454499

Michael Unser, Yoseob Han, Jong Chul Ye, John Paul Ward, Minji Lee

Publication date: 25 November 2015

Published in: SIAM Journal on Imaging Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1137/15m1015881

zbMATH Keywords

algorithmRadon transformHilbert transformmultiscale decompositioniterative reconstructionBedrosian theoreminterior tomographygeneralized total variationcircular cone-beamcircular fan-beamhelical cone-beamspectral blending

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55) Radon transform (44A12) Numerical methods for integral transforms (65R10)

Related Items (1)

Interior reconstruction in tomography via prior support constrained compressed sensing

Cites Work

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• Interior Tomography Using 1D Generalized Total Variation. Part I: Mathematical Foundation
• Fast Gradient-Based Algorithms for Constrained Total Variation Image Denoising and Deblurring Problems
• Total Variation Projection With First Order Schemes
• Cone-beam reconstruction using 1D filtering along the projection of M -lines
• Truncated Hilbert transform and image reconstruction from limited tomographic data

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