Semisoft Generalized Total Variation Minimization for Image Reconstruction in Computed Tomography

Xiezhang Li, Fangjun Arroyo, Jiehua Zhu, Jianing Sun

Abstract: The generalized $l_{1}$ greedy algorithm was recently proposed and shown to outperform the standard reweighted $l_{1}$ -minimization and $l_{1}$ -greedy algorithms for image reconstruction in computed tomography (CT). Herein, this algorithm is extended as a semisoft generalized $l_{1}$ greedy algorithm by adapting the wavelet technique of semisoft thresholding. The extended algorithm can also be applied to image reconstruction by incorporating it into the BCPCS framework, resulting in a semisoft generalized total variation minimization (SSGTV) algorithm for CT. Numerical tests indicate that the proposed SSGTV algorithm improves the image reconstruction for CT.

External IDs:dblp:journals/access/LiAZS17