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A Novel Algorithm for Image Denoising using Modified Adaptive Median Filter

机译:改进的自适应中值滤波器的图像去噪新算法

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摘要

In this study a novel algorithm is proposed for image denoising using Modified Adaptive Median Filter (MAMF) on digital images. The proposed algorithm replaces the noisy pixel by trimmed median value when other pixel values, O's and 255's are present in the selected window and when all the pixel values are O's and 255's hence the noise pixel is replaced by mean value of all the elements present in the selected window. This proposed algorithm shows better results than the Standard Median Filter (SMF), Decision Based Algorithm (DBA). Different grayscale and color images are tested by using the proposed algorithm and found to produce better Peak Signal to Noise Ratio (PSNR).
机译:在这项研究中,提出了一种新的算法,用于对数字图像使用改进的自适应中值滤波器(MAMF)进行图像去噪。当选定的窗口中存在其他像素值O和255且所有像素值均为O和255时,提出的算法用修整后的中值替换噪声像素,因此噪声像素将替换为存在于其中的所有元素的平均值选定的窗口。与标准中值滤波器(SMF),基于决策的算法(DBA)相比,该算法显示出更好的结果。使用所提出的算法测试了不同的灰度和彩色图像,发现它们可以产生更好的峰值信噪比(PSNR)。

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