带加权中心元的二维中值滤波器的失真程度分析

M. R. Kiladze, P. Lyakhov, A. Voznesensky, D. Kaplun
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引用次数: 0

摘要

本文对用于去除脉冲噪声图像的加权中心元中值滤波器进行了评价。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的影响。结果表明,窗口大小为$3\ × 3$的中值滤波器可以在小概率脉冲噪声的情况下从噪声中获得更高质量的图像清洗,窗口大小为$5\ × 5$和$7 \ × 7$的中值滤波器可以在高概率脉冲噪声的情况下从噪声中获得更高质量的图像清洗。所得结果可用于医学图像处理和自适应滤波系统的照片和视频数据处理。
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Distortion Level Analysis of a 2D Median Filter with a Weighted Central Element
The paper presents the evaluation of the median filters with weighted central elements use for cleaning images from impulse noise. The influence of obtaining undistorted pixels probability and distortion of the image pixel distribution function on the processing is shown. It is demonstrated that median filters with a window $3\times 3$ allow obtaining a higher quality of image cleaning from noise with a small probability of impulse noise, and median filters with window sizes $5\times 5$ and $7 \times 7$ allow to obtain a higher quality of image cleaning from noise with a high probability of impulse noise. The obtained results can be used in medical image processing and adaptive filtering systems for photo and video data processing.
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