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An enhanced decision based adaptive median filtering technique to remove Salt and Pepper noise in digital images

机译:基于增强决策的自适应中值滤波技术,可消除数字图像中的盐和胡椒噪声

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摘要

In this paper, we present an algorithm to remove Salt and Pepper noise from grayscale images. It is an enhanced adaptive median filtering algorithm which initially calculates median without considering noisy pixels in the processing window. If the noise-free median value is not available in the maximum processing window, the last processed pixel value is used as the replacement. Moreover, in extreme situations such as noise corrupted pure black and white images, a threshold value is used to determine the pixel value. Experimental results show that our algorithm can perform better than the other non-linear filters, suppressing noise level more than 90% while preserving visual quality and necessary details of the image.
机译:在本文中,我们提出了一种从灰度图像中去除盐和胡椒粉噪声的算法。它是一种增强的自适应中值滤波算法,该算法最初计算中值而无需考虑处理窗口中的噪点像素。如果最大处理窗口中没有无噪声的中值,则将最后处理的像素值用作替换值。此外,在诸如噪声破坏的纯黑白图像的极端情况下,使用阈值来确定像素值。实验结果表明,我们的算法性能优于其他非线性滤波器,在保持视觉质量和图像必要细节的同时,将噪声水平抑制了90%以上。

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