• Chinese Journal of Lasers
  • Vol. 36, Issue 10, 2548 (2009)
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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    DOI: 10.3788/cjl20093610.2548 Cite this Article Set citation alerts
    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 Copy Citation Text show less

    Abstract

    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.
    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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