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Volumn IV, Issue , 2005, Pages

Multivariate statistical approach for image denoising

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE QUALITY; MATHEMATICAL MODELS; PARAMETER ESTIMATION; SIGNAL TO NOISE RATIO; STATISTICS; WAVELET TRANSFORMS;

EID: 33646785426     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2005.1416077     Document Type: Conference Paper
Times cited : (15)

References (15)
  • 1
    • 0034258869 scopus 로고    scopus 로고
    • Adaptive wavelet thresholding for image denoising and compression
    • Sept.
    • 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, Sept. 2000.
    • (2000) IEEE Transactions on Image Processing , vol.9 , Issue.9 , pp. 1532-1546
    • Chang, S.G.1    Yu, B.2    Vetterli, M.3
  • 2
    • 0034259592 scopus 로고    scopus 로고
    • Spatially adaptive wavelet thresholding with context modeling for image denoising
    • Sept.
    • S. G. Chang, B. Yu, and M. Vetterli, "Spatially adaptive wavelet thresholding with context modeling for image denoising," IEEE Transactions on Image Processing, vol. 9, no. 9, pp. 1522-1531, Sept. 2000.
    • (2000) IEEE Transactions on Image Processing , vol.9 , Issue.9 , pp. 1522-1531
    • Chang, S.G.1    Yu, B.2    Vetterli, M.3
  • 3
    • 0342647438 scopus 로고    scopus 로고
    • Low-complexity image denoising based on statistical modeling of wavelet coefficients
    • M. K. Mihcak, K. Ramchandran I. Kozintsev, and P. Moulin, "Low-complexity image denoising based on statistical modeling of wavelet coefficients," IEEE Signal Processing Letters, vol. 6, no. 12, pp. 300-303, 1999.
    • (1999) IEEE Signal Processing Letters , vol.6 , Issue.12 , pp. 300-303
    • Mihcak, M.K.1    Ramchandran, K.2    Kozintsev, I.3    Moulin, P.4
  • 5
    • 0036844073 scopus 로고    scopus 로고
    • Bivariate shrinkage functions for wavelet-based denoising exploiting interscale dependency
    • L. Sendur and I. W. Selesnick, "Bivariate shrinkage functions for wavelet-based denoising exploiting interscale dependency," IEEE Transactions on Signal Processing, vol. 50, no. 11, pp. 2744-2756, 2002.
    • (2002) IEEE Transactions on Signal Processing , vol.50 , Issue.11 , pp. 2744-2756
    • Sendur, L.1    Selesnick, I.W.2
  • 6
    • 0036959297 scopus 로고    scopus 로고
    • Bivariate shrinkage with local variance estimation
    • L. Sendur and I. W. Selesnick, "Bivariate shrinkage with local variance estimation," IEEE Signal Processing Letters, vol. 9, no. 12, pp. 438-441, 2002.
    • (2002) IEEE Signal Processing Letters , vol.9 , Issue.12 , pp. 438-441
    • Sendur, L.1    Selesnick, I.W.2
  • 7
    • 0037934611 scopus 로고    scopus 로고
    • Multiwavelet denoising using neighbouring coefficients
    • G. Y. Chen and T. D. Bui, "Multiwavelet denoising using neighbouring coefficients," IEEE Signal Processing Letters, vol. 10, no. 7, pp. 211-214, 2003.
    • (2003) IEEE Signal Processing Letters , vol.10 , Issue.7 , pp. 211-214
    • Chen, G.Y.1    Bui, T.D.2
  • 8
    • 0001298787 scopus 로고    scopus 로고
    • Incorporating information on neighbouring coefficients into wavelet estimation
    • T. T. Cai and B. W. Silverman, "Incorporating information on neighbouring coefficients into wavelet estimation," Sankhya: The Indian Journal of Statistics, Serie A, vol. 63, pp. 127-148, 2001.
    • (2001) Sankhya: The Indian Journal of Statistics, Serie A , vol.63 , pp. 127-148
    • Cai, T.T.1    Silverman, B.W.2
  • 9
    • 0024700097 scopus 로고
    • A theory for multiresolution signal decomposition:the wavelet representation
    • July
    • S. G. Mallat, "A theory for multiresolution signal decomposition:the wavelet representation," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 11, no. 7, pp. 674-693, July 1989.
    • (1989) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.11 , Issue.7 , pp. 674-693
    • Mallat, S.G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.