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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국정보통신학회JICCE Journal of information and communication convergence engineering Journal of information and communication convergence engineering Vol.23 No.1
- 발행연도
- 2025.3
- 수록면
- 55 - 63 (9page)
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초록· 키워드
오류제보하기
The demand for high-quality images is rapidly increasing because of the large number of medical images captured daily. However, these images are often degraded by noise, leading to a reduced visual quality. Therefore, the need for methods that can reduce noise without compromising image quality is growing. Although various noise reduction techniques have been proposed, each method has its own advantages and limitations. This paper reviews traditional filtering methods such as median filtering, weighted median filtering, and total variation regularization. We then combine these methods to create a hybrid filtering technique. Finally, we compare the performance of traditional methods with that of our proposed hybrid approach and evaluate their effectiveness based on the characteristics of each technique. The results highlight the strengths of the proposed method and its potential for improving medical image quality while reducing noise.
목차
Abstract
I. INTRODUCTION
II. SYSTEM MODEL AND METHODS
III. RESULTS
V. CONCLUSIONS
REFERENCES
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