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A Study on the Removal of Impulse Noiseusing Wavelet Transform Pair and Adaptive-Length Median filter  

배상범 (부경대학교 공과대학 제어계측공학과)
김남호 (부경대학교 공과대학 제어계측공학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.7, no.7, 2003 , pp. 1575-1581 More about this Journal
Abstract
As a society has progressed rapidly toward a highly advanced digital information age, a multimedia communication service for acquisition, transmission and storage of image data as well as voice has being commercialized externally and internally. However, in the process of digitalization or transmission of data, noise is generated by several causes, and researches for eliminating those noises have been continued until now. There were the existing FFT(fast fourier transform) and STFT(short time fourier transform) for removing noise but it's impossible to know information about time and time-frequency localization capabilities has conflictive relationship. Therefore, for overcoming these limits, wavelet transform which is presented as a new technique of signal processing field is being applied in many fields recently. Because it has time-frequency localization capabilities it's Possible for multiresolution analysis as well as easy to analyze various signal. And when two wavelet base were designed to form Hilbert transform pair, wavelet pair provide superior performance than the existing DWT(discrete wavelet transform) in data characteristic detection. Therefore in this parer, we removed impulse noise by using adaptive-length median filter and two dyadic wavelet base which is designed by truncated coefficient vector.
Keywords
FFT; STFT; DWT; Hilbert transform pair; adaptive-length median filter;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 N. G. Kingsbury, 'Complex wavelets for shift invariant analysis and filtering of signals', Appl. Comput. Harmon. Anal., vol. 10, no. 3, pp. 234-253, May 2001   DOI   ScienceOn
2 배상범, 김남호, '절단된 계수 벡터를 사용한 웨이브렛의 힐버트 변환쌍에 관한 연구', 한국해양정보통신학회논문지, 제7권 제5호, pp. 1096-1100, 2003
3 배상범, 김남호 '임펄스 노이즈 환경에서 웨이브렛을 이용한 노이즈 제거 방법에 관한 연구', 한국해양정보통신학회논문지, 제6권 제4호, pp. 513-518, 2002
4 P. Abry and P. Flandrin, 'Multiresolution transient detection', Proc. IEEE-SP Int. Symp. Time-Freq. Time-Scale Anal., pp. 225-228, Oct. 1994
5 M. J. T. Smith and T. P. Barnwell, III, 'Exact reconstruction for tree-structured subband coders', IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-34, pp. 431-441, June 1986
6 C. K. Chui, An Introduction to Wavelets. Boston, MA: Academic, 1992
7 J. P. Thiran, 'Recursive digital filters with maximally flat group delay', IEEE Trans. Circuit Theory, vol. CT-18, pp. 659-664, Nov. 1971   DOI