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An efficient new edge preserving technique for removal of salt and pepper noise

机译:一种有效的新边缘保留技术,可消除盐和胡椒粉的噪音

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This paper proposes an efficient procedure for removal of salt and pepper noises from the noisy images on the basis of their local edge preserving filters. This algorithm consists of two major stages. In the first stage, the maximum and minimum pixel value in the the corrupted image is used to select noisy pixels or noise free pixels and then in second stage, local edge preserving filters are used on the basis of noisy pixel detected and the nature of its neighboring pixels in the selected window. Comparing the obtained results with other computationally simple noise removal techniques, our proposed algorithm gives much better qualitative and quantitative performance. Due to its simplicity and low computational cost, our method is suitable for its application in many real time situations.
机译:本文提出了一种有效的方法,可以基于噪声图像的局部边缘保留滤波器从噪声图像中去除盐和胡椒噪声。该算法包括两个主要阶段。在第一阶段中,使用损坏图像中的最大和最小像素值来选择有噪像素或无噪声像素,然后在第二阶段中,根据检测到的有噪像素及其性质来使用局部边缘保留滤镜所选窗口中的相邻像素。将获得的结果与其他计算简单的噪声去除技术进行比较,我们提出的算法给出了更好的定性和定量性能。由于其简单性和低计算成本,我们的方法适用于许多实时情况。

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