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Volumn , Issue , 2000, Pages 760-762

De-noising by modified soft-thresholding

Author keywords

De noising; Soft thresholding; Wavelet transform

Indexed keywords

ALGORITHMS; GAUSSIAN NOISE (ELECTRONIC); HIGH PASS FILTERS; LOW PASS FILTERS; SIGNAL RECONSTRUCTION; STATISTICAL METHODS; WHITE NOISE;

EID: 2342567018     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (27)

References (6)
  • 1
    • 84898785264 scopus 로고
    • Characterization of signals for multiscal edges
    • Mallat, S. and Zhong, S.:" Characterization of signals for multiscal edges," IEEE Trans., 1992, PAMI-14, pp.710-732.
    • (1992) IEEE Trans. , vol.PAMI-14 , pp. 710-732
    • Mallat, S.1    Zhong, S.2
  • 2
    • 0028546845 scopus 로고
    • Wavelet transform domain filters: A spacially selective noise filtration technique
    • Xu,Y., Weaver,J., Healy D. and Lu, J.: "Wavelet transform domain filters: A spacially selective noise filtration technique," IEEE Trans., 1994, IP-3, pp.747-757
    • (1994) IEEE Trans. , vol.IP-3 , pp. 747-757
    • Xu, Y.1    Weaver, J.2    Healy, D.3    Lu, J.4
  • 3
    • 0031696436 scopus 로고    scopus 로고
    • Wavelet shrinkage generalized cross validation for image denoising
    • Weyrich, N. and Warhola, G. " Wavelet shrinkage generalized cross validation for image denoising," IEEE Trans., 1998, IP-7, pp.82-90
    • (1998) IEEE Trans. , vol.IP-7 , pp. 82-90
    • Weyrich, N.1    Warhola, G.2
  • 4
    • 0041958932 scopus 로고
    • Ideal spatial adaptation via wavelet shrinkage
    • Donoho, D. and Johnstone, I.: "Ideal spatial adaptation via wavelet shrinkage", Biometrika, 1994, 81, pp. 425-445
    • (1994) Biometrika , vol.81 , pp. 425-445
    • Donoho, D.1    Johnstone, I.2
  • 5
    • 0029307534 scopus 로고
    • De-noising by soft-thresholding
    • Donoho, D.: "De-noising by soft-thresholding", IEEE Trans., 1995, IT-41, pp.613-626
    • (1995) IEEE Trans. , vol.IT-41 , pp. 613-626
    • Donoho, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.