Semisoft Generalized Total Variation Minimization for Image Reconstruction in Computed Tomography

oleh: Xiezhang Li, Fangjun Arroyo, Jiehua Zhu, Jianing Sun

Format: Article
Diterbitkan: IEEE 2017-01-01

Deskripsi

The generalized l<sub>1</sub> greedy algorithm was recently proposed and shown to outperform the standard reweighted l<sub>1</sub>-minimization and l<sub>1</sub>-greedy algorithms for image reconstruction in computed tomography (CT). Herein, this algorithm is extended as a semisoft generalized l<sub>1</sub> 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.