Chinese Journal of Lasers, Volume. 36, Issue 10, 2548(2009)

Iterative Regularization Denoising Method Based on OSV Model for Medical Image Denoising

Chen Guannan1,2、*, Chen Rong1, Lin Juqiang1, Huang Zufang1, Feng Shangyuan1, Li Yongzeng1, and Yang Kuntao2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    This paper proposes an iterative regularization denoising method based on Osher-Sole-Vese (OSV) model for medical image denoising. By using iterative regularization,the oscillating patterns of texture and details are added back to fit and compute the original OSV model,and the iterative behavior avoids overfull smoothing while denoising the features of textures and details to a certain extent. In addition,the iterative procedure is proposed in this paper. Experimental results show that the proposed method can achieve a better result in preserveing the texture and details for medical image denoising.

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    Chen Guannan, Chen Rong, Lin Juqiang, Huang Zufang, Feng Shangyuan, Li Yongzeng, Yang Kuntao. Iterative Regularization Denoising Method Based on OSV Model for Medical Image Denoising[J]. Chinese Journal of Lasers, 2009, 36(10): 2548

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    Paper Information

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    Received: Jun. 22, 2009

    Accepted: --

    Published Online: Oct. 23, 2009

    The Author Email: Guannan Chen (edado@163.com)

    DOI:10.3788/cjl20093610.2548

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