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Proceedings Paper

The research and application of double mean weighting denoising algorithm
Author(s): Hao Fang; Feng Xiong
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Paper 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.

Paper Details

Date Published: 14 December 2015
PDF: 6 pages
Proc. SPIE 9815, MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 981513 (14 December 2015); doi: 10.1117/12.2203596
Show Author Affiliations
Hao Fang, Wuhan Donghu Univ. (China)
Feng Xiong, Wuhan Donghu Univ. (China)


Published in SPIE Proceedings Vol. 9815:
MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications
Jianguo Liu; Hong Sun, Editor(s)

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