메뉴 건너뛰기




Volumn 37, Issue 10, 2010, Pages 7040-7049

A new wavelet-based image denoising using undecimated discrete wavelet transform and least squares support vector machine

Author keywords

Adaptive threshold; Image denoising; LS SVM; Spatial regularity; Undecimated discrete wavelet transform

Indexed keywords

DISCRETE WAVELET TRANSFORMS; IMAGE COMPRESSION; IMAGE PROCESSING; IMAGE RETRIEVAL; PIPELINE PROCESSING SYSTEMS; SUPPORT VECTOR MACHINES; WAVELET ANALYSIS; WAVELET TRANSFORMS;

EID: 79952096111     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.03.014     Document Type: Article
Times cited : (67)

References (26)
  • 1
    • 39349107204 scopus 로고    scopus 로고
    • Local adaptive shrinkage threshold denoising using curvelet coefficients
    • Bao, Q. Z., Gao, J. H., & Chen, W. C. (2008). Local adaptive shrinkage threshold denoising using curvelet coefficients. Electronics Letters, 14(4), 277-278.
    • (2008) Electronics Letters , vol.14 , Issue.4 , pp. 277-278
    • Bao, Q.Z.1    Gao, J.H.2    Chen, W.C.3
  • 2
    • 85014561619 scopus 로고    scopus 로고
    • A fast iterative shrinkage-thresholding algorithm for linear inverse problems
    • Beck, A., & Teboulle, M. (2009). A fast iterative shrinkage-thresholding algorithm for linear inverse problems. SIAM Journal of Imaging Sciences, 2(1), 183-202.
    • (2009) SIAM Journal of Imaging Sciences , vol.2 , Issue.1 , pp. 183-202
    • Beck, A.1    Teboulle, M.2
  • 4
    • 9144249812 scopus 로고    scopus 로고
    • Wavelet domain image denoising via support vector regression
    • Cheng, H., Tian, J. W., Liu, J., & Yu, Q. Z. (2004). Wavelet domain image denoising via support vector regression. Electronics Letters, 40(23), 1479-1480.
    • (2004) Electronics Letters , vol.40 , Issue.23 , pp. 1479-1480
    • Cheng, H.1    Tian, J.W.2    Liu, J.3    Yu, Q.Z.4
  • 5
    • 33750340572 scopus 로고    scopus 로고
    • Image denoising with complex ridgelets
    • DOI 10.1016/j.patcog.2006.04.039, PII S0031320306001816
    • Chen, G. Y., & Kégl, B. (2007). Image denoising with complex ridgelets. Pattern Recognition, 40(2), 578-585. (Pubitemid 44635640)
    • (2007) Pattern Recognition , vol.40 , Issue.2 , pp. 578-585
    • Chen, G.Y.1    Kegl, B.2
  • 6
    • 33749161371 scopus 로고    scopus 로고
    • The nonsubsampled contourlet transform: Theory, design, and applications
    • DOI 10.1109/TIP.2006.877507
    • Cunha, A. L., Zhou, J., & Do, M. N. (2006). The nonsubsampled contourlet transform: Theory, design, and applications. IEEE Transactions on Image processing, 15(10), 3089-3101. (Pubitemid 44473649)
    • (2006) IEEE Transactions on Image Processing , vol.15 , Issue.10 , pp. 3089-3101
    • Da Cunha, A.L.1    Zhou, J.2    Do, M.N.3
  • 7
    • 34047199323 scopus 로고    scopus 로고
    • A new family of nonredundant transforms using hybrid wavelets and directional filter banks
    • DOI 10.1109/TIP.2007.891791
    • Eslami, R., & Radha, H. (2007). A new family of nonredundant transforms using hybrid wavelets and directional filter banks. IEEE Transactions on Image Processing, 16(4), 1152-1167. (Pubitemid 46542401)
    • (2007) IEEE Transactions on Image Processing , vol.16 , Issue.4 , pp. 1152-1167
    • Eslami, R.1    Radha, H.2
  • 8
    • 63449102194 scopus 로고    scopus 로고
    • Support vector regression based image denoising
    • doi: 10.1016/j.imavis.2008.06.006
    • Li, Dalong (2008). Support vector regression based image denoising. Image and Vision Computing. doi: 10.1016/j.imavis.2008.06.006.
    • (2008) Image and Vision Computing
    • Li, D.1
  • 9
    • 34248677913 scopus 로고    scopus 로고
    • Blind image deconvolution through support vector regression
    • DOI 10.1109/TNN.2007.891622
    • Li, D., Mersereau, R., & Simske, S. (2007). Blind image deconvolution through support vector regression. IEEE Transactions on Neural Networks, 18(3), 931-935. (Pubitemid 46773758)
    • (2007) IEEE Transactions on Neural Networks , vol.18 , Issue.3 , pp. 931-935
    • Li, D.1    Mersereau, R.M.2    Simske, S.3
  • 11
    • 34547535700 scopus 로고    scopus 로고
    • A new SURE approach to image denoising: Interscale orthonormal wavelet thresholding
    • DOI 10.1109/TIP.2007.891064
    • Luisier, F., Blu, T., & Unser, M. (2007). A new SURE approach to image denoising: Interscale orthonormal wavelet thresholding. IEEE Transactions on Image Processing, 16(3), 593-606. (Pubitemid 46431959)
    • (2007) IEEE Transactions on Image Processing , vol.16 , Issue.3 , pp. 593-606
    • Luisier, F.1    Blu, T.2    Unser, M.3
  • 12
    • 0024700097 scopus 로고
    • A theory for multiresolution signal decomposition: The wavelet representation
    • Mallat, S. (1989). A theory for multiresolution signal decomposition: The wavelet representation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 11(7), 674-693.
    • (1989) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.11 , Issue.7 , pp. 674-693
    • Mallat, S.1
  • 13
    • 17544369568 scopus 로고    scopus 로고
    • Sparse geometric image representations with bandelets
    • DOI 10.1109/TIP.2005.843753
    • Mallat, S., & LePennec, E. (2005). Sparse geometric image representation with bandelets. IEEE Transactions on Image Processing, 14(4), 423-438. (Pubitemid 40552380)
    • (2005) IEEE Transactions on Image Processing , vol.14 , Issue.4 , pp. 423-438
    • Le Pennec, E.1    Mallat, S.2
  • 15
    • 31344451735 scopus 로고    scopus 로고
    • Estimating the probability of the presence of a signal of interest in multiresolution single-and multiband image denoising
    • Pizurica, A., & Philips, W. (2006). Estimating the probability of the presence of a signal of interest in multiresolution single-and multiband image denoising. IEEE Transactions on Image Process, 15(3), 645-665.
    • (2006) IEEE Transactions on Image Process , vol.15 , Issue.3 , pp. 645-665
    • Pizurica, A.1    Philips, W.2
  • 17
    • 67349240412 scopus 로고    scopus 로고
    • Image denoising in steerable pyramid domain based on a local Laplace prior
    • Rabbani, H. (2009). Image denoising in steerable pyramid domain based on a local Laplace prior. Pattern Recognition, 42(9), 2181-2193.
    • (2009) Pattern Recognition , vol.42 , Issue.9 , pp. 2181-2193
    • Rabbani, H.1
  • 18
    • 0000487102 scopus 로고    scopus 로고
    • Estimating the support of a high-dimensional distribution
    • DOI 10.1162/089976601750264965
    • Scholkopf, B., Platt, J. C., Shawe-Taylor, J., Smola, A. J., & Williamson, R. C. (2001). Estimating the support of a high-dimensional distribution. Neural Computation, 13, 1443-1471. (Pubitemid 33595028)
    • (2001) Neural Computation , vol.13 , Issue.7 , pp. 1443-1471
    • Scholkopf, B.1    Platt, J.C.2    Shawe-Taylor, J.3    Smola, A.J.4    Williamson, R.C.5
  • 19
    • 0026938667 scopus 로고
    • The discrete wavelet transform: Wedding the a trous and Mallat algorithms
    • Shensa, M. J. (1992). The discrete wavelet transform: Wedding the a trous and Mallat algorithms. IEEE Transactons on Signal Processing, 40(10), 2464-2482.
    • (1992) IEEE Transactons on Signal Processing , vol.40 , Issue.10 , pp. 2464-2482
    • Shensa, M.J.1
  • 23
    • 64549089980 scopus 로고    scopus 로고
    • A new interscale and intrascale orthonormal wavelet thresholding for SURE-based image denoising
    • Yan, F., Cheng, L., & Peng, S. (2008). A new interscale and intrascale orthonormal wavelet thresholding for SURE-based image denoising. IEEE Transactions on Signal Processing Letters, 15, 139-142.
    • (2008) IEEE Transactions on Signal Processing Letters , vol.15 , pp. 139-142
    • Yan, F.1    Cheng, L.2    Peng, S.3
  • 24
    • 35348872244 scopus 로고    scopus 로고
    • Adaptive wavelet multi-thresholding for image denoising
    • Yu-fei, Z H A, & Du-yan, BI (2005). Adaptive wavelet multi-thresholding for image denoising. Journal of Image and Graphics, 10(5), 567-570.
    • (2005) Journal of Image and Graphics , vol.10 , Issue.5 , pp. 567-570
    • Yu-Fei, Z.H.A.1    Du-Yan, B.I.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.