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Salt and Pepper Noise Removal using Histogram
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 Title & Authors
Salt and Pepper Noise Removal using Histogram
Kwon, Se-Ik; Kim, Nam-Ho;
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 Abstract
Currently, with the rapid development of the digital age, multimedia-related image devices become popular. However image deterioration is generated by multiple causes during the transmission process, with typical example of salt and pepper noise. When the noise of high density is added, existing methods are deteriorated in the characteristics of removal noise. After judging the noise condition to remove the salt and pepper noise, if the center pixel is the non-noise pixel, it is replaced with the original pixel. On the other hand, if it is the noise pixel, algorithm is suggested by the study, where the histogram of the corrupted image and the median filters are used. And for objective judgment, the proposed algorithm was compared with existing methods and PSNR(peak signal to noise ratio) was used as judgment standard. As the result of the simulation, The proposed algorithm shows a high PSNR of 32.57[dB] for Lena images that had been damaged of a high density salt and pepper noise(P
 Keywords
Salt and Pepper Noise;Histogram;Median Filter;
 Language
Korean
 Cited by
 References
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