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http://dx.doi.org/10.6109/jkiice.2021.25.10.1310

Modified Weight Filter Algorithm using Pixel Matching 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.25, no.10, 2021 , pp. 1310-1316 More about this Journal
Abstract
Recently, with the development of artificial intelligence and IoT technology, the importance of video processing such as object tracking, medical imaging, and object recognition is increasing. In particular, the noise reduction technology used in the preprocessing process demands the ability to effectively remove noise and maintain detailed features as the importance of system images increases. In this paper, we provide a modified weight filter based on pixel matching in an AWGN environment. The proposed algorithm uses a pixel matching method to maintain high-frequency components in which the pixel value of the image changes significantly, detects areas with highly relevant patterns in the peripheral area, and matches pixels required for output calculation. Classify the values. The final output is obtained by calculating the weight according to the similarity and spatial distance between the matching pixels with the center pixel in order to consider the edge component in the filtering process.
Keywords
AWGN; Pixel matching; Image processing; Weight;
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