메뉴 건너뛰기




Volumn 2006, Issue , 2006, Pages 1917-1920

A combined BayesShrink Wavelet-Ridgelet technique for image denoising

Author keywords

[No Author keywords available]

Indexed keywords

MULTIMEDIA SYSTEMS; SIGNAL FILTERING AND PREDICTION; SIGNAL TO NOISE RATIO; WAVELET ANALYSIS;

EID: 34247612981     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICME.2006.262931     Document Type: Conference Paper
Times cited : (3)

References (10)
  • 1
    • 85008016574 scopus 로고    scopus 로고
    • The what, how, and why of wavelet shrinkage denoising
    • C. Taswell, "The what, how, and why of wavelet shrinkage denoising," IEEE Journal Computing in Science and Engineering, 2(3), pp. 12-17, 2000.
    • (2000) IEEE Journal Computing in Science and Engineering , vol.2 , Issue.3 , pp. 12-17
    • Taswell, C.1
  • 2
    • 0041958932 scopus 로고
    • Ideal spatial adaptation via wavelet shrinkage
    • Sept
    • D. L. Donoho and I. M. Johnstone, "Ideal spatial adaptation via wavelet shrinkage," Biometrika, 81(1), pp. 425-455, Sept 1994.
    • (1994) Biometrika , vol.81 , Issue.1 , pp. 425-455
    • Donoho, D.L.1    Johnstone, I.M.2
  • 3
    • 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. on Image Processing, 9(9), pp. 1532-1546, 2000.
    • (2000) IEEE Trans. on Image Processing , vol.9 , Issue.9 , pp. 1532-1546
    • Chang, S.G.1    Yu, B.2    Vetterli, M.3
  • 4
    • 0004089243 scopus 로고    scopus 로고
    • Ph.D. thesis, Department of Statistics, Stanford University
    • E. J. Candes, Ridgelets: Theory and Applications, Ph.D. thesis, Department of Statistics, Stanford University, 1998.
    • (1998) Ridgelets: Theory and Applications
    • Candes, E.J.1
  • 5
    • 0346727379 scopus 로고    scopus 로고
    • Ridgelets: A key to higher dimensional intermittency?
    • E. J. Candes and D. L. Donoho, "Ridgelets: a key to higher dimensional intermittency?," Phil. Trans. R. Soc. Lond. A., pp. 2495-2509, 1999.
    • (1999) Phil. Trans. R. Soc. Lond. A , pp. 2495-2509
    • Candes, E.J.1    Donoho, D.L.2
  • 6
    • 0037239595 scopus 로고    scopus 로고
    • The finite ridgelet transform for image representation
    • M. N. Do and M. Vetterli, "The finite ridgelet transform for image representation," IEEE Tran. on Image Processing, 12(1), pp. 16-28, 2003.
    • (2003) IEEE Tran. on Image Processing , vol.12 , Issue.1 , pp. 16-28
    • Do, M.N.1    Vetterli, M.2
  • 8
    • 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, on Image Processing, 9(9), pp. 1532-1546, 2000.
    • (2000) IEEE Trans, on Image Processing , vol.9 , Issue.9 , pp. 1532-1546
    • Chang, S.G.1    Yu, B.2    Vetterli, M.3
  • 9
    • 0033716552 scopus 로고    scopus 로고
    • Digital curvelet transform: Strategy, implementation and experiments
    • D. L. Donoho and M. R. Duncan, "Digital curvelet transform: Strategy, implementation and experiments," Proc. SPIE, 4056, pp. 12-29, 2000.
    • (2000) Proc. SPIE , vol.4056 , pp. 12-29
    • Donoho, D.L.1    Duncan, M.R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.