图像去噪的改进迭代非局部平均滤波方法

doi:xcfeng@mail.xidian.edu.cn

J4 ›› 2010, Vol. 37 ›› Issue (4): 722-725+736.doi: xcfeng@mail.xidian.edu.cn

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Improved iterative non-local means filter for image denoising

FENG Xiang-chu;HAO Bin-bin;ZHU Jian-guang

(School of Science, Xidian Univ., Xi'an 710071， China)

Received:2009-04-08 Online:2010-08-20 Published:2010-10-11
Contact: FENG Xiang-chu E-mail:xcfeng@mail.xidian.edu.cn

Abstract

Abstract:

An iterative non-local means filter for image denoising is proposed. For the proposed method, the computation of weights depends on the updated image, and for each iteration the weighted averaging is performed over the updated image. This avoids the problems that the edge of the image is blurry and that the image is not clear, which are caused by the disagreement of the computation of the weight coefficients and the computation of the averaging. The max-min principle is also guaranteed for the proposed iterative non-local means filter. Numerical examples illustrate that the proposed method removes noise well while preserving image edges and fine details.

Key words: non-local means filter, weighted averaging, diffusion equation, image desnoising

FENG Xiang-chu;HAO Bin-bin;ZHU Jian-guang. Improved iterative non-local means filter for image denoising[J].J4, 2010, 37(4): 722-725+736.

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Improved iterative non-local means filter for image denoising

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