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http://dx.doi.org/10.6109/jkiice.2022.26.2.207

Switching Filter Algorithm using Fuzzy Weights based on Gaussian Distribution in AWGN Environment  

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.26, no.2, 2022 , pp. 207-213 More about this Journal
Abstract
Recently, with the improvement of the performance of IoT technology and AI, automation and unmanned work are progressing in a wide range of fields, and interest in image processing, which is the basis of automation such as object recognition and object classification, is increasing. Image noise removal is an important process used as a preprocessing step in an image processing system, and various studies have been conducted. However, in most cases, it is difficult to preserve detailed information due to the smoothing effect in high-frequency components such as edges. In this paper, we propose an algorithm to restore damaged images in AWGN(additive white Gaussian noise) using fuzzy weights based on Gaussian distribution. The proposed algorithm switched the filtering process by comparing the filtering mask and the noise estimate with each other, and reconstructed the image by calculating the fuzzy weights according to the low-frequency and high-frequency components of the image.
Keywords
AWGN; Gaussian distribution; Fuzzy weight; Switching filter;
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Times Cited By KSCI : 1  (Citation Analysis)
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