Few‐view image reconstruction combining total variation and a high‐order norm |
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| Authors: | Yi Zhang Wei‐Hua Zhang Hu Chen Meng‐Long Yang Tai‐Yong Li Ji‐Liu Zhou |
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| Affiliation: | 1. College of Computer Science, Sichuan University, , Chengdu, China;2. The School of Aerospace Science and Engineering, Sichuan University, , Chengdu, China;3. School of Economic Information Engineering, Southwestern University of Finance and Economics, , Chengdu, China |
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| Abstract: | This work presents a novel computed tomography reconstruction method for few‐view problem based on a compound method. To overcome the disadvantages of total variation (TV) minimization method, we use a high‐order norm coupled within TV and the numerical scheme for our method is given. We use the root mean square error as a referee. The numerical experiments demonstrate that our method achieves better performance than existing reconstruction methods, including filtered back projection, expectation maximization, and TV with projection on convex sets. © 2013 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 23, 249–255, 2013 |
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| Keywords: | x‐ray computed tomography few‐view total variation image reconstruction |
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