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A Study on Salt & Pepper Noise Removal using the Pixel Distribution of Local Mask
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 Title & Authors
A Study on Salt & Pepper Noise Removal using the Pixel Distribution of Local Mask
Kwon, Se-Ik; Kim, Nam-Ho;
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Due to the recent progress in information technology, demand for video imaging devices such as displays has grown. In general, images experience deterioration during the process of transmission due to various reasons. Many studies have boon undertaken on ways o reduce such noise. This paper6 suggests an algorithm that makes a judgment on the noise in order to remove the salt & pepper noise and replaces original pixels if they are non-noise while processing noise according to its density. The suggested algorithm shows a high PSNR of 30.49[dB] for Goldhill images that had been damaged of a high density salt & pepper noise(P
Denoising;Newton Interpolation;Spatial Weighted;Median Filter;
 Cited by
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Se-Ik Kwon and Nam-Ho Kim, "A Study on Modified Spatial Weighted Filter in Mixed Noise Environments," JICCE, vol. 19, no. 1, 2015.

Öten, Remzi and De Figueiredo, Rlui J P, "Adaptive Alpha-Trimmed Mean Filters Under Deviations From Assumed Noise Model", IEEE Trans, Image Processing, vol. 13, no. 5, pp. 627-639, May 2004. crossref(new window)

Xu Long and Nam-Ho Kim, "An Improved Weighted Filter for AWGN Removal", JKIICE, vol. 17, no. 5, pp. 1227-1232, 2013.

Sang-Woou Hong and Nam-Ho Kim, "A Study on Median Filter using Directional Mask in Salt & Pepper Noise Environments", JKIICE, vol. 19, no. 1, pp. 203-236, 2015.