[1] Li Wenshu, Luo Jianhua, Liu Qiegen, et al. Iterative regularization method for image denoisingwith adaptive scale parameter [J]. Journal of Southeast University (English Edition), 2010, 26 (3): 453-456. [doi:10.3969/j.issn.1003-7985.2010.03.016]

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Iterative regularization method for image denoisingwith adaptive scale parameter()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

26

Issue:

2010 3

Page:

453-456

Research Field:

Computer Science and Engineering

Publishing date:

2010-09-30

Info

Title:

Iterative regularization method for image denoisingwith adaptive scale parameter

Author(s):

Li Wenshu¹;  2;  Luo Jianhua¹;  Liu Qiegen¹;  He Fangfang²;  Wei Xiujin²

¹School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China
²College of Informatics and Electronics, Zhejiang Sci-Tech University, Hangzhou 310018, China

Keywords:

iterative regularization model(IRM);  total variation;  varying scale parameter;  image denoising

PACS:

TP391.4

DOI:

10.3969/j.issn.1003-7985.2010.03.016

Abstract:

In order to decrease the sensitivity of the constant scale parameter, adaptively optimize the scale parameter in the iteration regularization model(IRM)and attain a desirable level of applicability for image denoising, a novel IRM with the adaptive scale parameter is proposed. First, the classic regularization item is modified and the equation of the adaptive scale parameter is deduced. Then, the initial value of the varying scale parameter is obtained by the trend of the number of iterations and the scale parameter sequence vectors. Finally, the novel iterative regularization method is used for image denoising. Numerical experiments show that compared with the IRM with the constant scale parameter, the proposed method with the varying scale parameter can not only reduce the number of iterations when the scale parameter becomes smaller, but also efficiently remove noise when the scale parameter becomes bigger and well preserve the details of images.

References:

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Memo

Memo:

Biography: Li Wenshu(1975—), male, doctor, associate professor, wshlee@163.com.
Foundation items: The National Natural Science Foundation of China(No.60702069), the Research Project of Department of Education of Zhejiang Province(No.20060601), the Natural Science Foundation of Zhejiang Province(No.Y1080851), Shanghai International Cooperation on Region of France(No.06SR07109).
Citation: Li Wenshu, Luo Jianhua, Liu Qiegen, et al. Iterative regularization method for image denoising with adaptive scale parameter [J].Journal of Southeast University(English Edition), 2010, 26(3):453-456.

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