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Volumn 4, Issue , 2006, Pages

A new adaptive algorithm for despeckling SAR images based on contourlet transform

Author keywords

Adaptive shrinkage estimator; Contourlet transform; Speckle; Synthetic aperture radar

Indexed keywords

COMPUTER SIMULATION; FILTRATION; IMAGE PROCESSING; SHRINKAGE; SPECKLE; SYNTHETIC APERTURE RADAR;

EID: 34249309193     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICOSP.2006.346067     Document Type: Conference Paper
Times cited : (6)

References (11)
  • 1
    • 0034272146 scopus 로고    scopus 로고
    • Model-Based Despeckling and Information Extraction from SAR Images
    • Sep
    • M. Walessa and M. Datcu, "Model-Based Despeckling and Information Extraction from SAR Images," IEEE, Trans. on Geosc, and Remote Sensing, vol. 38, no. 5, Sep. 2000.
    • (2000) IEEE, Trans. on Geosc, and Remote Sensing , vol.38 , Issue.5
    • Walessa, M.1    Datcu, M.2
  • 2
    • 34249302883 scopus 로고    scopus 로고
    • Denoising of Noise Speckle inRadar Image
    • Thesis for the degree of Bachelor of Engineering, The University of Queensland, October
    • Hong Sern Tan, "Denoising of Noise Speckle inRadar Image" Thesis for the degree of Bachelor of Engineering, The University of Queensland, October 2001.
    • (2001)
    • Sern Tan, H.1
  • 4
    • 0034258869 scopus 로고    scopus 로고
    • Adaptive wavelet thresholding for image denoising and compression,
    • September
    • S.G.Chang B.Yu and M. Vetterli, "Adaptive wavelet thresholding for image denoising and compression," .IEEE Transactions on Image Processing,vol.9, no.9, pp. 1532-1546,September 2000.
    • (2000) IEEE Transactions on Image Processing , vol.9 , Issue.9 , pp. 1532-1546
    • Chang, S.G.1    Yu, B.2    Vetterli, M.3
  • 5
    • 0036875230 scopus 로고    scopus 로고
    • Speckle removal from SAR images in undecimated wavelet domain
    • Nov
    • F.Argenti and L.Alparone, "Speckle removal from SAR images in undecimated wavelet domain," IEEE Trans. Geosi. Remote Sensing, vol.40, pp721-727,Nov.2002.
    • (2002) IEEE Trans. Geosi. Remote Sensing , vol.40 , pp. 721-727
    • Argenti, F.1    Alparone, L.2
  • 6
    • 0036612499 scopus 로고    scopus 로고
    • J. Starck, E. Candes, and D. Donoho, The curvelet transform for image denoising, IEEE Trans. Image Proc. 11, pp. 670{684, June 2002.
    • J. Starck, E. Candes, and D. Donoho, "The curvelet transform for image denoising," IEEE Trans. Image Proc. 11, pp. 670{684, June 2002.
  • 7
    • 27244447838 scopus 로고    scopus 로고
    • The Contourlet Transform: An Efficient Directional Multiresolution Image Representation
    • Oct
    • M.N. Do and M. Vetterli. "The Contourlet Transform: An Efficient Directional Multiresolution Image Representation," IEEE Trans. on Image Processing, Oct. 2003.
    • (2003) IEEE Trans. on Image Processing
    • Do, M.N.1    Vetterli, M.2
  • 8
    • 0042160828 scopus 로고    scopus 로고
    • Contourlets
    • New York: Academic Press
    • M. N. Do and M.Vetterli, "Contourlets," in Beyond Wavelets, New York: Academic Press, 2003.
    • (2003) Beyond Wavelets
    • Do, M.N.1    Vetterli, M.2
  • 9
    • 4143105988 scopus 로고    scopus 로고
    • The Contourlet Transform for Image De-noising Using Cycle Spinning
    • Pacific Grove, Nov
    • R. Eslami and H. Radha, "The Contourlet Transform for Image De-noising Using Cycle Spinning," in Asilomar Conf. on Signals, Systems, and Computers, pp. 1982-1986, Pacific Grove, Nov. 2003.
    • (2003) Asilomar Conf. on Signals, Systems, and Computers , pp. 1982-1986
    • Eslami, R.1    Radha, H.2
  • 11
    • 0242636409 scopus 로고    scopus 로고
    • Image denoising using scale mixtures of Gaussians in wavelet domain
    • Nov
    • J.Portilla, V. Strela, M. Wainwright, and E. Simoncelli, "Image denoising using scale mixtures of Gaussians in wavelet domain," IEEE Trans. on Image Processing, Vol.50.,no.11, pp.1338-1351,Nov.2003.
    • (2003) IEEE Trans. on Image Processing , vol.50 , Issue.11 , pp. 1338-1351
    • Portilla, J.1    Strela, V.2    Wainwright, M.3    Simoncelli, E.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.