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http://dx.doi.org/10.6109/jkiice.2015.19.9.2167

A Study on Salt & Pepper Noise Removal using the Pixel Distribution of Local Mask  

Kwon, Se-Ik (Dept. of Control and Instrumentation Eng., Pukyong National University)
Kim, Nam-Ho (Dept. of Control and Instrumentation Eng., Pukyong National University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.19, no.9, 2015 , pp. 2167-2172 More about this Journal
Abstract
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 = 60%), Compared to the exising CWMF, SWMF, and A-TMF, there were improvements by 17.74[dB], 11.52[dB], and 13.76[dB], respectively.
Keywords
Denoising; Newton Interpolation; Spatial Weighted; Median Filter;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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