Salt and pepper noise reduction in images using adaptive fuzzy filter

T. Palabas, A. Gangal
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引用次数: 1

Abstract

In this study intended to salt and pepper noise in gray level digital image is reduced with adaptive fuzzy filter(ABF) method. Filtering process is realized in two stages. In the first stage, amount of salt and pepper noise has been detected in the image. In the second stage, noise is reduced by a filter that of coefficients are determined according to amount of detected noise from the image. ABF method has supported with standart median filter in order to increase recovery and this method has named median supported adaptive fuzzy filter(MDABF). The method has tested with different images and effective results were obtained from the images contain high level noise too.
使用自适应模糊滤波器对图像进行椒盐噪声抑制
本研究拟采用自适应模糊滤波(ABF)方法对灰度数字图像中的椒盐噪声进行降噪。过滤过程分两个阶段实现。在第一阶段,检测图像中的盐和胡椒噪声量。在第二阶段,通过一个滤波器来减少噪声,根据从图像中检测到的噪声的多少来确定系数。ABF方法支持标准中值滤波器以提高复原率,该方法被命名为中值支持自适应模糊滤波器(MDABF)。该方法在不同图像上进行了测试,对于含有高噪声的图像也取得了有效的效果。
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