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http://dx.doi.org/10.6109/jkiice.2020.24.4.474

Modified Weighted Filter by Standard Deviation in S&P Noise Environments  

Baek, Ji-Hyeon (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.24, no.4, 2020 , pp. 474-480 More about this Journal
Abstract
With the advent of the Fourth Industrial Revolution, many new technologies are being utilized. In particular, video signals are used in various fields. However, when transmitting and receiving video signals, salt and pepper noise and additive white Gaussian noise (AWGN) occur for multiple reasons. Failure to remove such noise when performing image processing can cause problems. Generally, filters such as CWMF, MF, and AMF remove noise. However, these filters perform somewhat poorly in the high-density noise domain and cause smoothing, resulting in slightly lower retention of the edge components. In this paper, we propose an algorithm by effectively eliminating salt and pepper noise using a modified weight filter using standard deviation. In order to prove the noise reduction performance of the proposed algorithm, we compared it with the existing algorithm using PSNR and magnified images.
Keywords
Salt and Pepper noise; Noise removal; Standard Deviation; PSNR;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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