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http://dx.doi.org/10.6109/jkiice.2019.23.9.1076

Salt and Pepper Noise Removal using Processed Pixels  

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.23, no.9, 2019 , pp. 1076-1081 More about this Journal
Abstract
In response to the recent development of IT technologies, there are more demands for visual devices such as display. However, noise is generated in the process of sending video data due to various reasons. Noise is the representative noise which is commonly found. While A-TMF, CWMF, and AMF are the typical ways for removing Salt and Pepper noise, the noise is not removed well in high-density noise environment. To remove the noise in the high-density noise environment, this study suggested an algorithm which identifies whether it's noise or not. If it's not a noise, matches the original pixel. If it's a noise, divide the $3{\times}3$ local mask into the area of the element treated and the area of the element to be processed. Then, algorithm proposes to apply different weights for each element to treat it as an average filter. To analyze the performance of the algorithm, this study compared PSNR to compare the algorithm with other existing methods.
Keywords
Salt and Pepper noise; Noise removal; Mean filter; PSNR;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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