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

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...

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Bibliographic Details
Main Authors: Li, Yunyi, Jiang, Yiqiu, Zhang, Hengmin, Liu, Jianxun, Ding, Xiangling, Gui, Guan
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2023
Subjects:
Engineering::Electrical and electronic engineering
Compressive Sensing
Computed Tomography Images
Online Access:https://hdl.handle.net/10356/170665

Internet

https://hdl.handle.net/10356/170665

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