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Removal of high density salt-and-pepper noise by recursive enhanced median filtering

机译:通过递归增强的中值过滤除去高密度盐和辣椒噪声

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In many applications the existence of impulsive noise in the acquired images is one of the most common problems. In present scenario median filters are very functional solution for the removal of impulse noise in the images. In general procedure firstly the noise is detected and then removed secondly. This paper proposes a novel method with two thresholds (Minimum threshold and maximum threshold) which detects noise more efficiently. Further the enhanced median value is use to replace the noisy pixels recursively. It furnishes a better Peak Signal to Noise Ratio (PSNR) as compared to many existing median filter based image de-noising methods.
机译:在许多应用中,所获取的图像中冲动噪声的存在是最常见的问题之一。 在目前的情景中,中间滤波器是用于去除图像中脉冲噪声的非常实用的解决方案。 在通用过程中,首先检测噪声,然后第二个。 本文提出了一种具有两个阈值(最小阈值和最大阈值)的新方法,其更有效地检测噪声。 此外,增强的中值值用于递归地替换噪声像素。 与基于许多现有的中值滤波器的图像去噪方法相比,它为噪声比(PSNR)提供更好的峰值信号。

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