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High Density Salt & Pepper Noise Reduction using Lagrange Interpolation and Iteration Process
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 Title & Authors
High Density Salt & Pepper Noise Reduction using Lagrange Interpolation and Iteration Process
Kwon, Se-Ik; Kim, Nam-Ho;
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Along with the rapid development in digital times, image media are being used in internet, computer and digital camera. But image deterioration occurs due to various exterior reasons in the procedures of acquisition, processing, transmission and recording of digital image and major reason is noise. Therefore in order to remove salt & pepper noise, this study suggested the algorithm which replaces the noise to original pixel in case of non-noise, and processes the noise with Lagrange interpolation method in case of noise. In case high density noise was added and the noise could not be removed, noise characteristics were improved by processing the noises repeatedly. And for objective judgment, this method was compared with existing methods and PSNR(peak signal to noise ratio) was used as judgment standard.
Denoising;Lagrange Interpolation;Median Filter;PSNR;
 Cited by
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