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http://dx.doi.org/10.6109/jkiice.2020.24.11.1424

AWGN Removal Algorithm using Similarity Determination of Block Matching  

Cheon, Bong-Won (Dept. of Smart Robot Convergence and Application 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.11, 2020 , pp. 1424-1430 More about this Journal
Abstract
In this paper, we propose an algorithm to remove AWGN by considering the characteristics of noise present in the image. The proposed algorithm uses block matching to calculate the output, and calculates an estimate by determining the similarity between the center mask and the matching mask. The output of the filter is calculated by adding or subtracting the estimated value and the input pixel value, and weighting is given according to the standard deviation of the center mask and the noise constant to obtain the final output. In order to evaluate the proposed algorithm, the simulation was performed in comparison with the existing methods, and analyzed through the enlarged image and PSNR comparison. The proposed algorithm minimizes the effect of noise, preserves important characteristics of the image, and shows the performance of removing noise efficiently.
Keywords
Image processing; Block matching; Similarity determination; AWGN;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
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