A Denoising Algorithm for CT Image Using Low-rank Sparse Coding

We propose a denoising method of CT image based on low-rank sparse coding. The proposed method constructs an adaptive dictionary of image patches and estimates the sparse coding regularization parameters using the Bayesian interpretation. A low-rank approximation approach is used to simultaneously c...

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Detalles Bibliográficos
Publicado en:Proc SPIE Int Soc Opt Eng
Main Authors: Lei, Yang, Xu, Dong, Zhou, Zhengyang, Wang, Tonghe, Dong, Xue, Liu, Tian, Dhabaan, Anees, Curran, Walter J., Yang, Xiaofeng
Formato: Artigo
Idioma:Inglês
Publicado: 2018
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Article
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC6759222/
https://ncbi.nlm.nih.gov/pubmed/31551644
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/12.2292890
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