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Switching Filter using Distribution of Histogram in Salt and Pepper Noise Environments  

Baek, Ji-Hyeon (Dept. of Smart Robot Convergence and Application Engineering, Pukyong National University)
Park, Jun-Mo (School of Electronic and Biomedical Engineering, Tongmyong University)
Kim, Nam-Ho (Dept. of Control and Instrumentation Engineering, Pukyong National University)
Publication Information
Journal of the Institute of Convergence Signal Processing / v.21, no.3, 2020 , pp. 113-120 More about this Journal
Abstract
With the recent development of communication equipment, the demand for communication equipment is gradually increasing. Accordingly, various signal processing has been studied. In the case of an image, noise removal is an indispensable step because noise propagation problems may occur if noise is not removed in the pre-processing process. Salt and Pepper noise is a typical impulse noise with two extremes. Various studies have been conducted to remove such noise, and there are CWMF, MF and MMF. However, the existing methods are somewhat insufficient in the high-density noise region. Therefore, in this study, we have proposed an algorithm that filters the size of the mask according to the number of noises inside the 7×7 mask and filters it with a modified switching filter using the histogram distribution of the image. In the case of the proposed algorithm, noise can be effectively removed in a high-density noise region. For objective judgment, PSNR was used to compare and analyze with existing algorithms.
Keywords
Salt and Pepper noise; Noise removal; Histogram; Switching filter; PSNR;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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