메뉴 건너뛰기




Volumn 87, Issue 5, 2007, Pages 866-876

A signal denoising algorithm based on overcomplete wavelet representations and Gaussian models

Author keywords

Denoising; Over complete representations; Wavelet transform

Indexed keywords

ALGORITHMS; ESTIMATION; IMAGE ANALYSIS; MATHEMATICAL MODELS;

EID: 33846561684     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sigpro.2006.08.008     Document Type: Article
Times cited : (49)

References (26)
  • 1
    • 0036714214 scopus 로고    scopus 로고
    • A generalized uncertainty principle and sparse representation in pairs of bases
    • Elad M., and Bruckstein A.M. A generalized uncertainty principle and sparse representation in pairs of bases. IEEE Trans. Inform. Theory 48 (September 2002) 2558-2567
    • (2002) IEEE Trans. Inform. Theory , vol.48 , pp. 2558-2567
    • Elad, M.1    Bruckstein, A.M.2
  • 4
    • 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 12 (December 2002) 438-441
    • (2002) IEEE Signal Process. Lett. , vol.9 , Issue.12 , pp. 438-441
    • Sendur, L.1    Selesnick, I.W.2
  • 7
    • 33846586402 scopus 로고    scopus 로고
    • P. Ishwar, P. Moulin, Multiple-domain image modeling and restoration, in: Proceedings of the IEEE International Conference on Image Processing, vol. 2, Santa Barbara, CA, USA, 1999, pp. 286-289.
  • 8
    • 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
  • 9
    • 0018998148 scopus 로고
    • Digital image enhancement and noise filtering by use of local statistics
    • Lee J.S. Digital image enhancement and noise filtering by use of local statistics. IEEE Trans. Pattern Anal. Machine Intell. 2 (March 1980) 165-168
    • (1980) IEEE Trans. Pattern Anal. Machine Intell. , vol.2 , pp. 165-168
    • Lee, J.S.1
  • 10
    • 0028698662 scopus 로고
    • Bayesian non-linear modelling for the energy prediction competition
    • MacKay D.J.C. Bayesian non-linear modelling for the energy prediction competition. ASHRAE Trans. 100 (1994) 1053-1062
    • (1994) ASHRAE Trans. , vol.100 , pp. 1053-1062
    • MacKay, D.J.C.1
  • 11
    • 0032662774 scopus 로고    scopus 로고
    • Analysis of multiresolution image denoising schemes using generalized Gaussian and complexity priors
    • Moulin P., and Liu J. Analysis of multiresolution image denoising schemes using generalized Gaussian and complexity priors. IEEE Trans. Inform. Theory 45 (April 1999) 909-919
    • (1999) IEEE Trans. Inform. Theory , vol.45 , pp. 909-919
    • Moulin, P.1    Liu, J.2
  • 12
    • 0442312210 scopus 로고    scopus 로고
    • Regularization of wavelet approximations
    • Antoniadis A., and Fan J.Q. Regularization of wavelet approximations. J. Amer. Statist. Assoc. 96 (September 2001) 939-955
    • (2001) J. Amer. Statist. Assoc. , vol.96 , pp. 939-955
    • Antoniadis, A.1    Fan, J.Q.2
  • 13
    • 33645136947 scopus 로고    scopus 로고
    • J.B. Dias, Bayesian wavelet-based image deconvolution: a GEM algorithm exploiting a class of heavy-tailed priors, IEEE Trans. Image Process. 15 (2006) 937-951.
  • 15
    • 84898938962 scopus 로고    scopus 로고
    • Learning sparse codes with a mixture-of-Gaussians prior
    • MIT Press, Cambridge, MA
    • Olshausen B.A., and Millman K.J. Learning sparse codes with a mixture-of-Gaussians prior. Advances in Neural Information Processing Systems vol. 12 (2002), MIT Press, Cambridge, MA 841-847
    • (2002) Advances in Neural Information Processing Systems , vol.12 , pp. 841-847
    • Olshausen, B.A.1    Millman, K.J.2
  • 16
    • 0029938380 scopus 로고    scopus 로고
    • Emergence of simple-cell receptive field properties by learning a sparse code for natural images
    • Olshausen B.A., and Field D.J. Emergence of simple-cell receptive field properties by learning a sparse code for natural images. Nature 381 (1996) 607-609
    • (1996) Nature , vol.381 , pp. 607-609
    • Olshausen, B.A.1    Field, D.J.2
  • 17
    • 0003780204 scopus 로고    scopus 로고
    • Image denoising by sparse code shrinkage
    • Haykin S., and Kosko B. (Eds), IEEE Press, New York
    • Hyvarinen A., Hoyer P., and Oja E. Image denoising by sparse code shrinkage. In: Haykin S., and Kosko B. (Eds). Intelligent Signal Processing (2000), IEEE Press, New York
    • (2000) Intelligent Signal Processing
    • Hyvarinen, A.1    Hoyer, P.2    Oja, E.3
  • 18
    • 0034934777 scopus 로고    scopus 로고
    • Natural image statistics and neural representation
    • Simoncelli E., and Olshausen B.A. Natural image statistics and neural representation. Ann. Rev. Neurosci. 24 (2001) 1193-1216
    • (2001) Ann. Rev. Neurosci. , vol.24 , pp. 1193-1216
    • Simoncelli, E.1    Olshausen, B.A.2
  • 20
    • 0001025418 scopus 로고
    • Bayesian interpolation
    • Mackay D.J.C. Bayesian interpolation. Neural Comput. 4 3 (1992) 415-447
    • (1992) Neural Comput. , vol.4 , Issue.3 , pp. 415-447
    • Mackay, D.J.C.1
  • 22
    • 0034258869 scopus 로고    scopus 로고
    • Adaptive wavelet thresholding for image denoising and compression
    • Chang S.G., Yu B., and Vetterli M. Adaptive wavelet thresholding for image denoising and compression. IEEE Trans. Image Process. 9 (September 2000) 1532-1546
    • (2000) IEEE Trans. Image Process. , vol.9 , pp. 1532-1546
    • Chang, S.G.1    Yu, B.2    Vetterli, M.3
  • 24
    • 0342647438 scopus 로고    scopus 로고
    • Low-complexity image denoising based on statistical modelling of wavelet coefficients
    • Mihcak M.K., Kozintsev I., Ramchandram K., and Moulin P. Low-complexity image denoising based on statistical modelling of wavelet coefficients. IEEE Signal Process. Lett. 6 (December 1999) 300-303
    • (1999) IEEE Signal Process. Lett. , vol.6 , pp. 300-303
    • Mihcak, M.K.1    Kozintsev, I.2    Ramchandram, K.3    Moulin, P.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.