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Research in Nondestructive Evaluation Volume 31, 2020 - Issue 3
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Articles

Total Variation (TV) l1 Norm Minimization Based Limited Data X-ray CT Image Reconstruction

Shubhabrata SarkarNuclear Engineering & Technology Programme, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, IndiaCorrespondence[email protected]
,
Pankaj WahiNuclear Engineering & Technology Programme, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, India
&
Prabhat MunshiNuclear Engineering & Technology Programme, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, India
Pages 164-186 | Published online: 16 Oct 2019

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Sudhir Kumar Chaudhary & Prabhat Munshi. (2021) Computation and Storage Efficient Sparse MART Algorithm for 2-D, 3-D Reconstruction from Fan Beam, Cone-Beam Projection Data. Research in Nondestructive Evaluation 32:3-4, pages 115-131.
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Articles from other publishers (4)

Md. Shafiqul Islam & Rafiqul Islam. (2022) A Critical Survey on Developed Reconstruction Algorithms for Computed Tomography Imaging from a Limited Number of Projections. International Journal of Image and Graphics 23:04.
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Munnu Sonkar, Pradip Sasmal, Prasad Theeda & C S Sastry. (2021) Sparsity-driven deterministic sampling strategy for coded aperture x-ray computed tomography. Measurement Science and Technology 33:3, pages 034003.
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Shubhabrata Sarkar, Pankaj Wahi & Prabhat Munshi. (2022) Super Resolution CT Imaging Using Higher Order Total Variation (HOTV) Technique. IEEE Transactions on Instrumentation and Measurement 71, pages 1-8.
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Xiongfeng Zhang & Haibo Liu. (2021) Linear programming-based reconstruction algorithm for limited angular sparse-view tomography. Optics and Lasers in Engineering 140, pages 106524.
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