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http://dx.doi.org/10.6109/jkiice.2018.22.10.1320

High Density Impulse Noise Reduction Filter Algorithm using Effective Pixels  

Cheon, Bong-Won (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.22, no.10, 2018 , pp. 1320-1326 More about this Journal
Abstract
Digital video equipment is important in the 4th industrial revolution and is widely used in different fields for various purpose. Data of digital video equipment is exposed to noise due to different reasons including user environment and processing and such noise affect output and processing method. This can even cause error, resulting in decreased reliability of the equipment. In this research, it offers algorithm to effectively recover video by removing noise and impulse noise occurring during the process of channel delivery. This proposed algorithm recovers video by exploring valid pixel using directional local mask and noise determination. Then, valid pixel calculated goes through the final output calculation through comparative analysis on estimation. For comparing suggested method and algorithm, simulation is carried out. For checking the function of it, PSNR and profile are analyzed.
Keywords
PSNR; Image restoration; Impulse noise; Directionality;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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