加权中心元中值滤波器去除图像脉冲噪声的效率分析

2017 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON) Pub Date : 2017-09-01 DOI:10.1109/SIBIRCON.2017.8109856

N. Chervyakov, P. Lyakhov, A. Orazaev, M. Valueva

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引用次数: 6

摘要

本文分析了带加权中心元的中值滤波器用于去除图像中的脉冲噪声。给出了获得未失真像素的概率和图像像素分布函数的畸变对处理结果的影响。我们证明了具有3×3窗口的中值滤波器可以从具有低概率脉冲噪声的噪声中获得更高质量的图像清洗，并且具有5×5和7×7窗口大小的中值滤波器可以从具有高概率脉冲噪声的噪声中获得更高质量的图像清洗。所得结果可用于医学成像和自适应滤波系统的照片和视频数据处理。

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Efficiency analysis of the image impulse noise cleaning using median filters with weighted central element

This paper shows the analysis of median filters with weighted central elements using for cleaning of images from impulse noise. The influence of the probability of obtaining undistorted pixels and distortion of the image pixel distribution function on the processing result is shown. We demonstrated that median filters with a 3×3 window allow to obtain a higher quality of image cleaning from noise with a low probability of impulse noise, and median filters with window sizes of 5×5 and 7×7 allow to obtain a higher quality of image cleaning from noise with high probability of impulse noise. The obtained result may be used in medical imaging and adaptive filtering systems for photo and video data processing.

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来源期刊

2017 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON)

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