Literature DB >> 22826939

[Denoising of medical CT image based on sparse decomposition].

Bo Xing1, Jun Wang.   

Abstract

Noises are inevitably introduced to medical CT images because of various factors in the medical image processes. Noises in medical images will greatly degrade the quality of images and bring difficulties to clinical diagnosis. Therefore, it is necessary for medical CT images to be denoised. In the present paper, the sparse decomposition of images is used to denoise medical CT images. A new block-based sparse decomposition of images denoising method is proposed. Experimental results showed that block-based sparse decomposition of images denoising had a certain function. With the same number of atoms, the computing speed of the image constructed by the new algorithm was improved by about 15 times, compared with the whole image sparse decomposition denoising.

Mesh:

Year:  2012        PMID: 22826939

Source DB:  PubMed          Journal:  Sheng Wu Yi Xue Gong Cheng Xue Za Zhi        ISSN: 1001-5515


  1 in total

1.  CT image sequence restoration based on sparse and low-rank decomposition.

Authors:  Shuiping Gou; Yueyue Wang; Zhilong Wang; Yong Peng; Xiaopeng Zhang; Licheng Jiao; Jianshe Wu
Journal:  PLoS One       Date:  2013-09-04       Impact factor: 3.240

  1 in total

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