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An Algorithm of l1-Norm and l0-Norm Regularization Algorithm for CT Image Reconstruction from Limited Projection
Joint Authors
Li, Xiezhang
Feng, Guocan
Zhu, Jiehua
Source
International Journal of Biomedical Imaging
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-28
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
The l1-norm regularization has attracted attention for image reconstruction in computed tomography.
The l0-norm of the gradients of an image provides a measure of the sparsity of gradients of the image.
In this paper, we present a new combined l1-norm and l0-norm regularization model for image reconstruction from limited projection data in computed tomography.
We also propose an algorithm in the algebraic framework to solve the optimization effectively using the nonmonotone alternating direction algorithm with hard thresholding method.
Numerical experiments indicate that this new algorithm makes much improvement by involving l0-norm regularization.
American Psychological Association (APA)
Li, Xiezhang& Feng, Guocan& Zhu, Jiehua. 2020. An Algorithm of l1-Norm and l0-Norm Regularization Algorithm for CT Image Reconstruction from Limited Projection. International Journal of Biomedical Imaging،Vol. 2020, no. 2020, pp.1-6.
https://search.emarefa.net/detail/BIM-1169163
Modern Language Association (MLA)
Li, Xiezhang…[et al.]. An Algorithm of l1-Norm and l0-Norm Regularization Algorithm for CT Image Reconstruction from Limited Projection. International Journal of Biomedical Imaging No. 2020 (2020), pp.1-6.
https://search.emarefa.net/detail/BIM-1169163
American Medical Association (AMA)
Li, Xiezhang& Feng, Guocan& Zhu, Jiehua. An Algorithm of l1-Norm and l0-Norm Regularization Algorithm for CT Image Reconstruction from Limited Projection. International Journal of Biomedical Imaging. 2020. Vol. 2020, no. 2020, pp.1-6.
https://search.emarefa.net/detail/BIM-1169163
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1169163