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Noise Removal using Modified Switching Filter in Mixed Noise Environments
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 Title & Authors
Noise Removal using Modified Switching Filter in Mixed Noise Environments
Kwon, Se-Ik; Kim, Nam-Ho;
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 Abstract
As society has developed rapidly toward a highly advanced digital information age, a multimedia communication service for acquisition, transmission and storage of image data as well as voice has being commercialized. However, image data is always corrupted by various noises during image processing, so researches for removing noises have been continued until now. There are diverse types of noise on the image including salt and pepper noise, AWGN, and mixed noise. Hence, the filter algorithm for the image recovery was proposed that salt and pepper noise was processed by linear interpolation, histogram weighted values and median filter after defining the noise to lessen the impact of mixed noise added in the image, and AWGN was processed by the pixel information of local mask establishing the weighted values in this study. In addition, the algorithm was compared with the conventional methods for objectively and used the PSNR(peak signal to noise ratio) as the basis of the determination.
 Keywords
Mixed noise;Noise removal;Switching filter;PSNR;
 Language
Korean
 Cited by
 References
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