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Edge Detection with Detail Preservation for RVIN Using Adaptive Threshold Filtering Method

机译:自适应阈值滤波的RVIN细节保留边缘检测

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摘要

Images are often corrupted by impulse noise in the procedures of image acquisition and transmission. In this paper we proposes a method for effective detection of noisy pixel based on median value and an efficient algorithm for the estimation and replacement of noisy pixel, the replacement of noisy pixel is carried out twicewhich provides better preservation of image details. The presence of high performing detection stage for the detection noisy pixel makes the proposed method suitable in the case of noiselevels as high as 60% to 90% random valued impulse noise; the proposed method yields better image quality.
机译:在图像获取和传输过程中,脉冲噪声经常会破坏图像。本文提出了一种基于中值的有效检测噪声像素的方法,以及一种有效的噪声像素估计和替换算法,该算法对噪声像素进行了两次替换,可以更好地保存图像细节。检测噪声像素的高性能检测级的存在使该方法适用于噪声水平高达60%至90%随机值脉冲噪声的情况;所提出的方法产生更好的图像质量。

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