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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Main Authors: | , , , , , |
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格式: | Article |
語言: | English |
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2023
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在線閱讀: | https://hdl.handle.net/10356/170665 |
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