A New Method for Removing Asymmetric High Density Salt and Pepper Noise

Allan Pennings, I. Svalbe
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Abstract

The presence of salt and pepper noise in imaging is a common issue that needs to be overcome in image analysis. Many potential solutions to remove this noise have been discussed over the years, but these algorithms often make the common assumption that salt noise and pepper noise appear in equal densities. This is not necessarily the case. In this paper several filters are proposed and tested across a range of different salt to pepper ratios, which result in higher PSNR and SSIM when compared to other existing filters.
图像中椒盐噪声的存在是图像分析中需要克服的一个常见问题。多年来,人们讨论了许多消除这种噪声的潜在解决方案,但这些算法通常假设盐噪声和胡椒噪声以相同的密度出现。事实并非如此。本文提出了几种过滤器,并在不同的盐与胡椒比例范围内进行了测试,与其他现有过滤器相比,这些过滤器的PSNR和SSIM更高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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