메뉴 건너뛰기




Volumn 23, Issue 1, 2007, Pages 131-151

An elliptically contoured exponential mixture model for wavelet based image denoising

Author keywords

Bayesian estimation; Elliptically contoured distribution; Multivariate probability model; Wavelet denoising

Indexed keywords

BAYESIAN NETWORKS; LAPLACE EQUATION; PARAMETER ESTIMATION; WAVELET ANALYSIS;

EID: 34249810653     PISSN: 10635203     EISSN: 1096603X     Source Type: Journal    
DOI: 10.1016/j.acha.2007.01.007     Document Type: Article
Times cited : (29)

References (26)
  • 1
    • 0029307534 scopus 로고
    • De-noising by soft-thresholding
    • Donoho D.L. De-noising by soft-thresholding. IEEE Trans. Inform. Theory 41 (1995) 613-627
    • (1995) IEEE Trans. Inform. Theory , vol.41 , pp. 613-627
    • Donoho, D.L.1
  • 2
    • 84950459514 scopus 로고
    • Adapting to unknown smoothness via wavelet shrinkage
    • Donoho D.L., and Johnstone I.M. Adapting to unknown smoothness via wavelet shrinkage. J. Amer. Statist. Assoc. 90 (1995) 1200-1224
    • (1995) J. Amer. Statist. Assoc. , vol.90 , pp. 1200-1224
    • Donoho, D.L.1    Johnstone, I.M.2
  • 3
    • 0032022704 scopus 로고    scopus 로고
    • Nonlinear wavelet image processing: Variational problems, compression and noise removal through wavelet shrinkage
    • Chambolle A., DeVore R.A., Lee N., and Lucier B.J. Nonlinear wavelet image processing: Variational problems, compression and noise removal through wavelet shrinkage. IEEE Trans. Image Process. 7 (1998) 319-335
    • (1998) IEEE Trans. Image Process. , vol.7 , pp. 319-335
    • Chambolle, A.1    DeVore, R.A.2    Lee, N.3    Lucier, B.J.4
  • 4
    • 0030402111 scopus 로고    scopus 로고
    • E.P. Simoncelli, E.H. Adelson, Noise removal via Bayesian wavelet coring, in: Proc. IEEE Int. Conf. Image Processing (ICIP), Switzerland, 1996
  • 6
    • 18244381023 scopus 로고    scopus 로고
    • Wavelet thresholding via a Bayesian approach
    • Abramovich F., and Silverman B. Wavelet thresholding via a Bayesian approach. J. Roy. Statist. Soc. 60 (1998) 725-749
    • (1998) J. Roy. Statist. Soc. , vol.60 , pp. 725-749
    • Abramovich, F.1    Silverman, B.2
  • 7
    • 0001682758 scopus 로고    scopus 로고
    • Multiple shrinkage and subset selection in wavelets
    • Clyde M., Parmigiani G., and Vidakovic B. Multiple shrinkage and subset selection in wavelets. Biometrika 85 2 (1998) 391-401
    • (1998) Biometrika , vol.85 , Issue.2 , pp. 391-401
    • Clyde, M.1    Parmigiani, G.2    Vidakovic, B.3
  • 8
    • 33747727601 scopus 로고    scopus 로고
    • Wavelet-based statistical signal processing using hidden Markov models
    • Crouse M.S., Nowak R.D., and Baraniuk R.G. Wavelet-based statistical signal processing using hidden Markov models. IEEE Trans. Signal Process. 46 (April 1998) 886-902
    • (1998) IEEE Trans. Signal Process. , vol.46 , pp. 886-902
    • Crouse, M.S.1    Nowak, R.D.2    Baraniuk, R.G.3
  • 9
    • 0342647438 scopus 로고    scopus 로고
    • Low-complexity image denoising based on statistical modeling of wavelet coefficients
    • Mihcak M., Kozintsev I., Ramchandran K., and Moulin P. Low-complexity image denoising based on statistical modeling of wavelet coefficients. IEEE Signal Process. Lett. 6 (December 1999) 300-303
    • (1999) IEEE Signal Process. Lett. , vol.6 , pp. 300-303
    • Mihcak, M.1    Kozintsev, I.2    Ramchandran, K.3    Moulin, P.4
  • 10
    • 0034250772 scopus 로고    scopus 로고
    • Wavelet thresholding via MDL for natural images
    • Hansen M., and Yu B. Wavelet thresholding via MDL for natural images. IEEE Trans. Inform. Theory 46 5 (August 2000) 1778-1788
    • (2000) IEEE Trans. Inform. Theory , vol.46 , Issue.5 , pp. 1778-1788
    • Hansen, M.1    Yu, B.2
  • 11
    • 0141819645 scopus 로고    scopus 로고
    • BAMS method: Theory and simulations
    • Vidakovic B., and Ruggeri F. BAMS method: Theory and simulations. Indian J. Stat. 63 (2001) 234-249
    • (2001) Indian J. Stat. , vol.63 , pp. 234-249
    • Vidakovic, B.1    Ruggeri, F.2
  • 12
    • 0036844073 scopus 로고    scopus 로고
    • Bivariate shrinkage functions for wavelet-based denoising exploiting interscale dependency
    • Sendur L., and Selesnick I.W. Bivariate shrinkage functions for wavelet-based denoising exploiting interscale dependency. IEEE Trans. Signal Process. 50 (November 2002) 2744-2756
    • (2002) IEEE Trans. Signal Process. , vol.50 , pp. 2744-2756
    • Sendur, L.1    Selesnick, I.W.2
  • 13
    • 0242636409 scopus 로고    scopus 로고
    • Image denoising using scale mixtures of Gaussians in the wavelet domain
    • Portilla J., Strela V., Wainwright M., and Simoncelli E.P. Image denoising using scale mixtures of Gaussians in the wavelet domain. IEEE Trans. Image Process. 12 11 (November 2003) 1338-1351
    • (2003) IEEE Trans. Image Process. , vol.12 , Issue.11 , pp. 1338-1351
    • Portilla, J.1    Strela, V.2    Wainwright, M.3    Simoncelli, E.P.4
  • 14
    • 13244268341 scopus 로고    scopus 로고
    • Analytical form for a Bayesian wavelet estimator of images using the Bessel K form densities
    • Fadili J.M., and Boubchir L. Analytical form for a Bayesian wavelet estimator of images using the Bessel K form densities. IEEE Trans. Image Process. 14 2 (February 2005) 231-240
    • (2005) IEEE Trans. Image Process. , vol.14 , Issue.2 , pp. 231-240
    • Fadili, J.M.1    Boubchir, L.2
  • 15
    • 33646785426 scopus 로고    scopus 로고
    • D. Cho, T.D. Bui, Multivariate statistical approach for image denoising, in: Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP), Philadelphia, 2005
  • 16
    • 0024700097 scopus 로고
    • A theory for multiresolution signal decomposition: the wavelet representation
    • Mallat S.G. A theory for multiresolution signal decomposition: the wavelet representation. IEEE Trans. Pattern Anal. Machine Intell. 11 7 (1989) 674-693
    • (1989) IEEE Trans. Pattern Anal. Machine Intell. , vol.11 , Issue.7 , pp. 674-693
    • Mallat, S.G.1
  • 17
    • 0034258869 scopus 로고    scopus 로고
    • Spatially adaptive wavelet thresholding with context modeling for image denoising
    • Chang S., Yu B., and Vetterli M. Spatially adaptive wavelet thresholding with context modeling for image denoising. IEEE Trans. Image Process. 9 9 (2000) 1532-1546
    • (2000) IEEE Trans. Image Process. , vol.9 , Issue.9 , pp. 1532-1546
    • Chang, S.1    Yu, B.2    Vetterli, M.3
  • 18
    • 33749637571 scopus 로고    scopus 로고
    • J.A. Guerrero-Colon, J. Portilla, Two-level adaptive denoising using Gaussian scale mixtures in overcomplete oriented pyramids, in: Proc. IEEE Int. Conf. Image Processing (ICIP), Italy, 2005
  • 19
    • 0036959297 scopus 로고    scopus 로고
    • Bivariate shrinkage with local variance estimation
    • Sendur L., and Selesnick I.W. Bivariate shrinkage with local variance estimation. IEEE Signal Process. Lett. 9 (December 2002) 438-441
    • (2002) IEEE Signal Process. Lett. , vol.9 , pp. 438-441
    • Sendur, L.1    Selesnick, I.W.2
  • 21
    • 0037628133 scopus 로고    scopus 로고
    • L. Sendur, I.W. Selesnick, Multivariate shrinkage functions for wavelet-based denoising, in: Asilomar Conference on Signals, Systems, and Computers, November 2002, pp. 953-957
  • 24
    • 0002629270 scopus 로고
    • Maximum likelihood from incomplete data via the EM algorithm
    • Dempster A., Laird N., and Rubin D. Maximum likelihood from incomplete data via the EM algorithm. J. Roy. Statist. Soc. 39 1 (1977) 1-38
    • (1977) J. Roy. Statist. Soc. , vol.39 , Issue.1 , pp. 1-38
    • Dempster, A.1    Laird, N.2    Rubin, D.3
  • 26
    • 0034440525 scopus 로고    scopus 로고
    • N.G. Kingsbury, A dual-tree complex wavelet transform with improved orthogonality and symmetry properties, in: Proc. IEEE Int. Conf. Image Processing (ICIP), Vancouver, September 2000


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.