Cited By
View all- Deng KSun CGong WLiu YYang H(2022)A Limited-View CT Reconstruction Framework Based on Hybrid Domains and Spatial CorrelationSensors10.3390/s2204144622:4(1446)Online publication date: 13-Feb-2022
ℓ0DL: Joint Image Gradient ℓ0-norm With Dictionary Learning for Limited-angle CT
Authors: 
Moran Xu, Dianlin Hu, Weiwen WuAuthors Info & Claims
Moran Xu, Dianlin Hu, Weiwen WuAuthors Info & ClaimsPage 538
Abstract
In this study, we combine dictionary learning and image gradient l_0-norm (l_0DL) for limited-angle CT reconstruction. The proposed l_0DL method can characterize image details and features by training an over-complete dictionary. It also employs the image gradient l_0-norm to protect image edges and reduce shadow artifacts in limited-angle CT. Real dataset experiments are performed to evaluate the outperformances of proposed l_0DL method than other state-of-the-art methods.
References
[1]
W. W. et al, "Swinging multi-source industrial CT systems for aperiodic dynamic imaging," (in English), Optics Express, Article vol. 25, no. 20, pp. 24215--24235, Oct 2017.
[2]
L. Xu et al. "Image smoothing via L 0 gradient minimization," in ACM Transactions on Graphics (TOG), 2011, p. 174.
Index Terms
- ℓ0DL: Joint Image Gradient ℓ0-norm With Dictionary Learning for Limited-angle CT
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Information & Contributors
Information
Published In
September 2019
716 pages
ISBN:9781450366663
DOI:10.1145/3307339
- General Chairs:
- Xinghua (Mindy) Shi,
- Michael Buck,
- Program Chairs:
- Jian Ma,
- Pierangelo Veltri
Copyright © 2019 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 04 September 2019
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- Poster
Funding Sources
- the National Natural Science Foundation of China
Conference
BCB '19
Sponsor:
BCB '19: 10th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics
September 7 - 10, 2019
NY, Niagara Falls, USA
Acceptance Rates
BCB '19 Paper Acceptance Rate 42 of 157 submissions, 27%;
Overall Acceptance Rate 254 of 885 submissions, 29%
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Cited By
View all- Deng KSun CGong WLiu YYang H(2022)A Limited-View CT Reconstruction Framework Based on Hybrid Domains and Spatial CorrelationSensors10.3390/s2204144622:4(1446)Online publication date: 13-Feb-2022
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