Nonconvex L₁/₂- regularized nonlocal self-similarity denoiser for compressive sensing based CT reconstruction

Compressive sensing (CS) based computed tomography (CT) image reconstruction aims at reducing the radiation risk through sparse-view projection data. However, it is challenging to achieve satisfying image quality from incomplete projections. Recent works demonstrate the promising potential of noncon...

全面介紹

Saved in:
書目詳細資料
Main Authors: Li, Yunyi, Jiang, Yiqiu, Zhang, Hengmin, Liu, Jianxun, Ding, Xiangling, Gui, Guan
其他作者: School of Electrical and Electronic Engineering
格式: Article
語言:English
出版: 2023
主題:
在線閱讀:https://hdl.handle.net/10356/170665
標簽: 添加標簽
沒有標簽, 成為第一個標記此記錄!