1. 블록 매칭의 유사도 판별을 이용한 AWGN 제거 알고리즘.
- Author
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천봉원 and 김남호
- Subjects
AUDITORY masking ,STANDARD deviations ,IMAGE processing ,NOISE ,ALGORITHMS - 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. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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