The research and application of double mean weighting denoising algorithm

Hao Fang; Feng Xiong

doi:10.1117/12.2203596

14 December 2015 The research and application of double mean weighting denoising algorithm

Hao Fang, Feng Xiong

Proceedings Volume 9815, MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 981513 (2015) https://doi.org/10.1117/12.2203596
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China

Abstract

In the application of image processing and pattern recognition, the precision of image preprocessing has a great influence on the image after-processing and analysis. This paper describes a novel local double mean weighted algorithm (hereinafter referred to as D-M algorithm) for image denoising. Firstly, the pixel difference and the absolute value are taken for the current pixels and the pixels in the neighborhood; then the absolute values are sorted again, the means of such pixels are taken in an half-to-half way; finally the weighting coefficient of the mean is taken. According to a large number of experiments, such algorithm not only introduces a certain robustness, but also improves increment significantly.

Citation Download Citation

Hao Fang and Feng Xiong "The research and application of double mean weighting denoising algorithm", Proc. SPIE 9815, MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 981513 (14 December 2015); https://doi.org/10.1117/12.2203596

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KEYWORDS

Denoising

Nonlinear filtering

Radio over Fiber

Image processing

Image restoration

Detection and tracking algorithms

Image denoising

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