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Volumn 7, Issue 3, 2010, Pages 126-131

Image denoising using a multivariate shrinkage function in the curvelet domain

Author keywords

Curvelet transform; Image denoising; Statistical modeling

Indexed keywords

CURVELET COEFFICIENTS; CURVELET TRANSFORMS; CURVELETS; IMAGE DE-NOISING; IMAGE DENOISING METHODS; MAXIMUM A POSTERIORI; PROBABILITY MODELS; SHRINKAGE FUNCTIONS; STATISTICAL MODELING;

EID: 76749169961     PISSN: None     EISSN: 13492543     Source Type: Journal    
DOI: 10.1587/elex.7.126     Document Type: Article
Times cited : (19)

References (10)
  • 1
    • 0029307534 scopus 로고
    • De-noising by soft-thresholding
    • D. L. Donoho, "De-noising by soft-thresholding,"IEEE Trans. Inf. Theory, vol. 41, no. 3, pp. 613-627, 1995.
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    • Donoho, D.L.1
  • 2
    • 0034258869 scopus 로고    scopus 로고
    • Adaptive wavelet thresholding for image denoising and compression
    • S. G. Chang, B. Yu, and M. Vetterli, "Adaptive wavelet thresholding for image denoising and compression,"IEEE Trans. Image Process., vol. 9, no. 9, pp. 1532-1546, 2000.
    • (2000) IEEE Trans. Image Process , vol.9 , Issue.9 , pp. 1532-1546
    • Chang, S.G.1    Yu, B.2    Vetterli, M.3
  • 3
    • 0036844073 scopus 로고    scopus 로고
    • Bivariate shrinkage functions for wavelet-based denoising exploiting interscale dependency
    • L. Sendur and I. W. Selesnick, "Bivariate shrinkage functions for wavelet-based denoising exploiting interscale dependency,"IEEE Trans. Signal Process., vol. 50, no. 11, pp. 2744-2756, 2002.
    • (2002) IEEE Trans. Signal Process , vol.50 , Issue.11 , pp. 2744-2756
    • Sendur, L.1    Selesnick, I.W.2
  • 4
    • 34547535700 scopus 로고    scopus 로고
    • A new SURE approach to image denoising: Interscale orthonormal wavelet thresholding
    • F. Luisier, T. Blu, and M. Unser, "A new SURE approach to image denoising: interscale orthonormal wavelet thresholding,"IEEE Trans. Image Process., vol. 16, no. 3, pp. 593-606, 2007.
    • (2007) IEEE Trans. Image Process , vol.16 , Issue.3 , pp. 593-606
    • Luisier, F.1    Blu, T.2    Unser, M.3
  • 7
    • 0036612499 scopus 로고    scopus 로고
    • The curvelet transform for image denoising
    • J. L. Starck, E. J. Candès, and D. L. Donoho, "The curvelet transform for image denoising,"IEEE Trans. Image Process., vol. 11, no. 6, pp. 670-684, 2002.
    • (2002) IEEE Trans. Image Process , vol.11 , Issue.6 , pp. 670-684
    • Starck, J.L.1    Candès, E.J.2    Donoho, D.L.3
  • 8
    • 38149107418 scopus 로고    scopus 로고
    • Analysis of the statistical dependencies in the curvelet domain and applications in image compression
    • A. Alecu, A. Munteanu, A. Pizurica, J. Cornelis, and P. Schelkens, "Analysis of the statistical dependencies in the curvelet domain and applications in image compression,"Lecture Notes in Computer Science, vol. 4678, pp. 1061-1071, 2007.
    • (2007) Lecture Notes in Computer Science , vol.4678 , pp. 1061-1071
    • Alecu, A.1    Munteanu, A.2    Pizurica, A.3    Cornelis, J.4    Schelkens, P.5
  • 9
    • 1942436689 scopus 로고    scopus 로고
    • Image quality assessment: From error visibility to structural similarity
    • Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli, "Image quality assessment: from error visibility to structural similarity,"IEEE Trans. Image Process., vol. 13, no. 4, pp. 600-612, 2004.
    • (2004) IEEE Trans. Image Process , vol.13 , Issue.4 , pp. 600-612
    • Wang, Z.1    Bovik, A.C.2    Sheikh, H.R.3    Simoncelli, E.P.4
  • 10
    • 76749084339 scopus 로고    scopus 로고
    • CurveLab-2.0.1 [Online]
    • CurveLab-2.0.1 [Online] http://www.curvelet.org/software.html


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.