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Volumn 5567 LNCS, Issue , 2009, Pages 282-294

Multiplicative noise cleaning via a variational method involving curvelet coefficients

Author keywords

[No Author keywords available]

Indexed keywords

ALTERNATIVE METHODS; BAYESIAN; CURVELET COEFFICIENTS; CURVELET TRANSFORMS; DE-NOISE; DOUGLAS; EXPONENTIAL FUNCTIONS; IMAGE DATA; IMAGE DOMAIN; LOGARITHMIC FUNCTIONS; MULTIPLICATIVE NOISE; NUMERICAL RESULTS; ORIGINAL IMAGES; SPECKLE NOISE; THRESHOLDING; TOTAL VARIATION REGULARIZATION; VARIATIONAL METHODS;

EID: 69049089101     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02256-2_24     Document Type: Conference Paper
Times cited : (14)

References (31)
  • 1
    • 0141787887 scopus 로고    scopus 로고
    • Sar image denoising via bayesian wavelet shrinkage based on heavy-tailed modeling
    • Achim, A., Tsakalides, P., Bezerianos, A.: Sar image denoising via bayesian wavelet shrinkage based on heavy-tailed modeling. IEEE Trans. Geosci. Remote Sens. 41(8), 1773-1784 (2003)
    • (2003) IEEE Trans. Geosci. Remote Sens , vol.41 , Issue.8 , pp. 1773-1784
    • Achim, A.1    Tsakalides, P.2    Bezerianos, A.3
  • 2
    • 49449100276 scopus 로고    scopus 로고
    • A variational approach to remove multiplicative noise
    • Aubert, G., Aujol, J.-F.: A variational approach to remove multiplicative noise. J. on Applied Mathematics 68(4), 925-946 (2008)
    • (2008) J. on Applied Mathematics , vol.68 , Issue.4 , pp. 925-946
    • Aubert, G.1    Aujol, J.-F.2
  • 4
    • 67651053616 scopus 로고    scopus 로고
    • Some algorithms for total variation based image restoration
    • Report CLMA 2008-05
    • Aujol, J.-F.: Some algorithms for total variation based image restoration. Report CLMA 2008-05 (2008)
    • (2008)
    • Aujol, J.-F.1
  • 5
    • 0036836408 scopus 로고    scopus 로고
    • New multiscale transforms, minimum total variation synthesis. Applications to edge-preserving image reconstruction
    • Candès, E.J., Guo, F.: New multiscale transforms, minimum total variation synthesis. Applications to edge-preserving image reconstruction. Signal Processing 82 (2002)
    • (2002) Signal Processing , vol.82
    • Candès, E.J.1    Guo, F.2
  • 6
    • 1242352408 scopus 로고    scopus 로고
    • An algorithm for total variation minimization and application
    • Chambolle, A.: An algorithm for total variation minimization and application. J. of Mathematical Imaging and Vision 20(1) (2004)
    • (2004) J. of Mathematical Imaging and Vision , vol.20 , Issue.1
    • Chambolle, A.1
  • 7
    • 33646554193 scopus 로고    scopus 로고
    • Total variation minimization and a class of binary MRF models
    • Rangarajan, A, Vemuri, B.C, Yuille, A.L, eds, EMMCVPR 2005, Springer, Heidelberg
    • Chambolle, A.: Total variation minimization and a class of binary MRF models. In: Rangarajan, A., Vemuri, B.C., Yuille, A.L. (eds.) EMMCVPR 2005. LNCS, vol. 3757, pp. 136-152. Springer, Heidelberg (2005)
    • (2005) LNCS , vol.3757 , pp. 136-152
    • Chambolle, A.1
  • 8
    • 69049120969 scopus 로고    scopus 로고
    • Stein block thresholding for image denoising
    • Technical report
    • Chesneau, C., Fadili, J., Starck, J.-L.: Stein block thresholding for image denoising. Technical report (2008)
    • (2008)
    • Chesneau, C.1    Fadili, J.2    Starck, J.-L.3
  • 10
    • 13244295576 scopus 로고    scopus 로고
    • Solving monotone inclusions via compositions of nonexpansive averaged operators
    • Combettes, P.L.: Solving monotone inclusions via compositions of nonexpansive averaged operators. Optimization 53(5) (2004)
    • (2004) Optimization , vol.53 , Issue.5
    • Combettes, P.L.1
  • 11
    • 39449085530 scopus 로고    scopus 로고
    • A Douglas-Rachford splittting approach to nonsmooth convex variational signal recovery
    • Combettes, P.L., Pesquet, J.-C.: A Douglas-Rachford splittting approach to nonsmooth convex variational signal recovery. IEEE J. of Selected Topics in Signal Processing 1(4), 564-574 (2007)
    • (2007) IEEE J. of Selected Topics in Signal Processing , vol.1 , Issue.4 , pp. 564-574
    • Combettes, P.L.1    Pesquet, J.-C.2
  • 12
    • 0041958932 scopus 로고
    • Ideal spatial adaptation by wavelet shrinkage
    • Donoho, D.L., Johnstone, I.M.: Ideal spatial adaptation by wavelet shrinkage. Biometrika 81(3), 425-455 (1994)
    • (1994) Biometrika , vol.81 , Issue.3 , pp. 425-455
    • Donoho, D.L.1    Johnstone, I.M.2
  • 13
    • 45849138905 scopus 로고    scopus 로고
    • Denoising of frame coefficients using l1 data-fidelity term and edge-preserving regularization
    • Durand, S., Nikolova, M.: Denoising of frame coefficients using l1 data-fidelity term and edge-preserving regularization. SIAM J. on Multiscale Modeling and Simulation 6(2), 547-576 (2007)
    • (2007) SIAM J. on Multiscale Modeling and Simulation , vol.6 , Issue.2 , pp. 547-576
    • Durand, S.1    Nikolova, M.2
  • 14
    • 0141975226 scopus 로고    scopus 로고
    • Reconstruction of wavelet coefficients using total variation minimization
    • Durand, S., Froment, J.: Reconstruction of wavelet coefficients using total variation minimization. SIAM J. on Scientific Computing 24(5), 1754-1767 (2003)
    • (2003) SIAM J. on Scientific Computing , vol.24 , Issue.5 , pp. 1754-1767
    • Durand, S.1    Froment, J.2
  • 15
    • 67651066140 scopus 로고    scopus 로고
    • Multiplicative noise removal using L1 fidelity on frame coefficients
    • Report CMLA n.2008-40
    • Durand, S., Fadili, J., Nikolova, M.: Multiplicative noise removal using L1 fidelity on frame coefficients. Report CMLA n.2008-40 (2008)
    • (2008)
    • Durand, S.1    Fadili, J.2    Nikolova, M.3
  • 16
    • 0032004476 scopus 로고    scopus 로고
    • Suppression of speckle in synthetic aperture radar images using wavelet
    • Fukuda, S., Hirosawa, H.: Suppression of speckle in synthetic aperture radar images using wavelet. Int. J. Remote Sens. 19(3), 507-519 (1998)
    • (1998) Int. J. Remote Sens , vol.19 , Issue.3 , pp. 507-519
    • Fukuda, S.1    Hirosawa, H.2
  • 18
    • 34548226939 scopus 로고    scopus 로고
    • Combined Curvelet Shrinkage and Nonlinear Anisotropic Diffusion
    • Ma, J., Plonka, G.: Combined Curvelet Shrinkage and Nonlinear Anisotropic Diffusion. IEEE Trans. on Image Processing 16(9), 2198-2206 (2007)
    • (2007) IEEE Trans. on Image Processing , vol.16 , Issue.9 , pp. 2198-2206
    • Ma, J.1    Plonka, G.2
  • 19
    • 0013212026 scopus 로고    scopus 로고
    • Mathematical analysis of a model which combines total variation and wavelet for image restoration
    • Malgouyres, F.: Mathematical analysis of a model which combines total variation and wavelet for image restoration. J. of information processes 2(1), 1-10 (2002)
    • (2002) J. of information processes , vol.2 , Issue.1 , pp. 1-10
    • Malgouyres, F.1
  • 20
    • 69049092951 scopus 로고    scopus 로고
    • Moreau, J.-J, Fonctions convexes duales et points proximaux dans un espace hilbertien. CRAS Sér. A Math
    • Moreau, J.-J.: Fonctions convexes duales et points proximaux dans un espace hilbertien. CRAS Sér. A Math
  • 21
    • 0038042413 scopus 로고    scopus 로고
    • Minimizers of cost-functions involving nonsmooth data-fidelity terms. Application to the processing of outliers
    • Nikolova, M.: Minimizers of cost-functions involving nonsmooth data-fidelity terms. Application to the processing of outliers. SIAM J. on Numerical Analysis 40(3), 965-994 (2002)
    • (2002) SIAM J. on Numerical Analysis , vol.40 , Issue.3 , pp. 965-994
    • Nikolova, M.1
  • 22
    • 3142712959 scopus 로고    scopus 로고
    • Weakly constrained minimization. Application to the estimation of images and signals involving constant regions
    • Nikolova, M.: Weakly constrained minimization. Application to the estimation of images and signals involving constant regions. J. of Mathematical Imaging and Vision 21(2), 155-175 (2004)
    • (2004) J. of Mathematical Imaging and Vision , vol.21 , Issue.2 , pp. 155-175
    • Nikolova, M.1
  • 25
    • 44049111982 scopus 로고
    • Nonlinear total variation based noise removal algorithm
    • Rudin, L., Osher, S., Fatemi, C.: Nonlinear total variation based noise removal algorithm. Physica 60D, 259-268 (1992)
    • (1992) Physica , vol.60 D , pp. 259-268
    • Rudin, L.1    Osher, S.2    Fatemi, C.3
  • 26
    • 69049115359 scopus 로고    scopus 로고
    • A nonlinear inverse scale space method for a convex mutiplicative noise model
    • Shi, J., Osher, S.: A nonlinear inverse scale space method for a convex mutiplicative noise model. In: UCLA 2007 (2007)
    • (2007) UCLA
    • Shi, J.1    Osher, S.2
  • 28
    • 0034272146 scopus 로고    scopus 로고
    • Model-based despeckling and information extraction from sar images
    • Walessa, M., Datcu, M.: Model-based despeckling and information extraction from sar images. IEEE Trans. Geosci. Remote Sens. 38(9), 2258-2269 (2000)
    • (2000) IEEE Trans. Geosci. Remote Sens , vol.38 , Issue.9 , pp. 2258-2269
    • Walessa, M.1    Datcu, M.2
  • 29
    • 39149088668 scopus 로고    scopus 로고
    • Locally analytic schemes: A link between diffusion filtering and wavelets shrinkage
    • Welk, M., Steidl, G., Weickert, J.: Locally analytic schemes: A link between diffusion filtering and wavelets shrinkage. Applied and Computational Harmonic Analysis 24, 195-224 (2008)
    • (2008) Applied and Computational Harmonic Analysis , vol.24 , pp. 195-224
    • Welk, M.1    Steidl, G.2    Weickert, J.3
  • 30
    • 0036821339 scopus 로고    scopus 로고
    • SAR speckle reduction using wavelet denoising and markov random field modeling
    • Xie, H., Pierce, L.E., Ulaby, F.T.: SAR speckle reduction using wavelet denoising and markov random field modeling. IEEE Trans. Geosci. Remote Sensing 40(10), 2196-2212 (2002)
    • (2002) IEEE Trans. Geosci. Remote Sensing , vol.40 , Issue.10 , pp. 2196-2212
    • Xie, H.1    Pierce, L.E.2    Ulaby, F.T.3
  • 31
    • 0036870577 scopus 로고    scopus 로고
    • Speckle reducing anisotropic diffusion
    • Yu, Y., Acton, S.T.: Speckle reducing anisotropic diffusion. IEEE Trans. on Image Processing 11(11), 1260-1270 (2002)
    • (2002) IEEE Trans. on Image Processing , vol.11 , Issue.11 , pp. 1260-1270
    • Yu, Y.1    Acton, S.T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.