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Semisoft Generalized Total Variation Minimization for Image Reconstruction in Computed Tomography

作者:   时间:2018-06-21   点击数:

Title: Semisoft Generalized Total Variation Minimization for Image Reconstruction in Computed Tomography

Speaker: Jiehua Zhu(朱洁华), Department of Mathematical Sciences, Georgia Southern University

时间: 9:00-10:00, 26/06/2018

地点: 1032

Abstract: In this talk, a generalized l1  greedy algorithm for signal and image recovery is first introduced. Its convergence and the superiority over the reweighted l1  -minimization and l1  greedy algorithms are demonstrated. Then this algorithm is extended as a semisoft generalized l1  greedy algorithm by adapting the wavelet technique of semisoft thresholding. The extended algorithm is applied to image reconstruction by incorporating it into the BCPCS framework, resulting in a semisoft generalized total variation minimization algorithm for computed tomography (CT). Numerical tests indicate the proposed algorithm improves the image reconstruction for CT.

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