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http://dx.doi.org/10.6109/jkiice.2015.19.11.2717

A Study on Mixed Noise Removal using Pixel Direction Factors and Weighted Value 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.11, 2015 , pp. 2717-2723 More about this Journal
Abstract
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.
Keywords
Mixed Noise; Noise Removing; Spatial Weight; PSNR;
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Times Cited By KSCI : 2  (Citation Analysis)
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