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.
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