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| Research on ECT Image Reconstruction Algorithm Based on lp-norm |
| MA Min,SUN Mei-juan,LI Ming |
| College of Electronic Information and Automation, Civil Aviation University of China, Tianjin 300300, China |
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Abstract In the process of ECT image reconstruction, non-convex compressed sensing algorithm based on lp-norm often has the problem of large computational complexity, and the algorithms corresponding to the proximal mapping of the regularization lp-norm minimization are limited to few specific values of parameter p, which leads to low image resolution. The improved interpolation function is used to replace xpp, by adjusting the parameters, the improved function is infinitely approximated to xpp. At the same time, the threshold representation theory is introduced, and based on it. A new adaptive threshold iterative algorithm is proposed to solve the new model. The experimental results show that the improved algorithm has stronger adaptability, higher image resolution and faster imaging speed than the Lanweber algorithm and iterative reweighted least squares method.
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Received: 08 April 2019
Published: 28 August 2020
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| Fund:The National Natural Science Foundation of China |
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2020, Vol. 41 
