1. AWGN 환경에서 화소매칭을 이용한 변형된 가중치 필터 알고리즘.
- Author
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천봉원 and 김남호
- Subjects
ARTIFICIAL intelligence ,COMPUTER-assisted image analysis (Medicine) ,VIDEO processing ,ALGORITHMS ,IMAGE processing ,PIXELS ,NOISE control - 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. [ABSTRACT FROM AUTHOR]
- Published
- 2021
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