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Tian, J., Yu, W.Y. and Xie, S.L. (2008) On the Kernel Function Selection of Nonlocal Filtering for Image Denoising. Proceedings of IEEE International Conference on Machine Learning and Cybernetics, Kunming.

has been cited by the following article:

• TITLE: Improved Non-Local Means Algorithm for Image Denoising

  AUTHORS: Lingli Huang

  KEYWORDS: Image Denoising, Non-Local Means, Gaussian Noise

  JOURNAL NAME: Journal of Computer and Communications, Vol.3 No.4, April 10, 2015

  ABSTRACT: Image denoising technology is one of the forelands in the field of computer graphic and computer vision. Non-local means method is one of the great performing methods which arouse tremendous research. In this paper, an improved weighted non-local means algorithm for image denoising is proposed. The non-local means denoising method replaces each pixel by the weighted average of pixels with the surrounding neighborhoods. The proposed method evaluates on testing images with various levels noise. Experimental results show that the algorithm improves the denoising performance.