웨이브렛 상세 영역 변환을 이용한 임펄스 잡음 제거
A study on removing the impulse noise using wavelet transformation in detail area
1
조회
0
다운로드
4
인용
0
참고문헌
키워드
초록
The impulse noise is very common and typical noise in the digital image. Many methods invented in order to remove the impulse noise since the development of Digital Image Processing. For example, the median filter has been used for removing the impulse noise. In this paper, we try to remove the impulse noise using wavelet transformation in the wavelet-transformed detail areas. We also compare the algotirhm with median filter with the visual and numerical methods. The result using the algorithm in this paper was much better than the median filter in both removing the noise and keeping the edges. The proposed algorithm needs more calculating time but has more advantages than the median filter has.
Abstract
The impulse noise is very common and typical noise in the digital image. Many methods invented in order to remove the impulse noise since the development of Digital Image Processing. For example, the median filter has been used for removing the impulse noise. In this paper, we try to remove the impulse noise using wavelet transformation in the wavelet-transformed detail areas. We also compare the algotirhm with median filter with the visual and numerical methods. The result using the algorithm in this paper was much better than the median filter in both removing the noise and keeping the edges. The proposed algorithm needs more calculating time but has more advantages than the median filter has.
참고문헌 (11)
- Rafael C. Gonzalez, "Digital Image Processing using MATLAB", pp.101~140 (2003), Prentice-Hall
- S.Mallat, "A theory of multi-resolution signal decomposition: The wavelet representation", IEEE Transaction on Pattern Analysis and Machine Intelligence (1989)
- S. Mallet, "A wavelet tour of signal processing", pp.220~277 (1999), Academic Press
- M.Jansen, "M. Jansen, P. Oonincx, "Second generation wavelets and applications", Springer, 2005." (2005), Springer
- R.Gonzales, "Digital Image Processing" (1992), Addison Wesley
- R. Crane, "Simplified approach to Image Processing", Prentice Hall
- A.K.Louis, "Wavelets" (1998), Teubner
- 김상희, "에지 정보를 이용한 잡음 제거용 적응적 모폴로지 알고리즘", 1996년 제 9회 신호처리 합동 학술 대회 논문집
- I.Daubechies, "Ten Lectures on Wavelets" (1992), SIAM
- Mary Beth Ruskai, "Wavelests and their application" (1992), Jones and Barlett Publishers
- Nelson H. C. Yung, "Modified CPI Filter Algorithm for Removing Salt-and-Pepper Noise in Digital Image", SPIE, 2717, pp.1439, ~