Year: 2017
International Journal of Numerical Analysis and Modeling, Vol. 14 (2017), Iss. 1 : pp. 76–87
Abstract
In this paper, we proposed a regularization model based on second-order total variation for CT image reconstruction, which could eliminate the 'staircase' caused by total variation (TV) minimization. Moreover, some properties of second-order total variation were investigated, and a primal-dual algorithm for the proposed model was presented. Some numerical experiments for various projection data were conducted to demonstrate the efficiency of the proposed model and algorithm.
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Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/2017-IJNAM-411
International Journal of Numerical Analysis and Modeling, Vol. 14 (2017), Iss. 1 : pp. 76–87
Published online: 2017-01
AMS Subject Headings: Global Science Press
Copyright: COPYRIGHT: © Global Science Press
Pages: 12
Keywords: CT image reconstruction regularization method second-order total variation primal-dual algorithm.