Publisher : The Korean Institute of Information and Commucation Engineering
DOI : 10.6109/jkiice.2015.19.11.2717
Title & Authors
A Study on Mixed Noise Removal using Pixel Direction Factors and Weighted Value Mask Kwon, Se-Ik; Kim, Nam-Ho;
Recently, digital image processing is being applied in various areas of broadcasting, communication, computer graphic and medical science. But, degradation of images occurs in the process of digital image acquisition, processing and transmission. Therefore, in order to remove the mixed noise, this paper suggested the image restoration algorithm to process salt and pepper noise with weighted filters according to 4 direction pixel changes after judging the noise and to process AWGN with weighted filters which have individually different characteristics. Regarding the processed results by applying Boat images which were corrupted by salt and pepper noise(P=40%), suggested algorithm showed the improvement by 1.33[dB], 1.41[dB], 0.51[dB] respectively compared with the existing CWMF, AWMF, MMF.
Mixed Noise;Noise Removing;Spatial Weight;PSNR;
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