최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기電子工學會論文誌. Journal of the Institute of Electronics Engineers of Korea. SP, 신호처리, v.43 no.5 = no.311, 2006년, pp.52 - 61
엄일규 (부산대학교 전자공학과) , 김유신 (부산대학교 전자공학과)
Orthogonal wavelet tansform which is generally used in image and signal processing applications has limited performance because of lack of shift invariance and low directional selectivity. To overcome these demerits complex wavelet transform has been proposed. In this paper, we present an efficient ...
* AI 자동 식별 결과로 적합하지 않은 문장이 있을 수 있으니, 이용에 유의하시기 바랍니다.
D. L. Donoho, and I. M. Johonstone, 'Ideal spatial adaptation by wavelet shrinkage' Biometrika, vol.81, no.3, pp.425-455, 1994
D. L. Donoho, and I. M. Johonstone, 'Adapting to unknown smoothness via wavelet shrinkage,' Journal of the American Statistical Association, vol.90, no.432, pp.1200-1224, 1995
M. K. Mihcak, I. Kozintsev, K. Ramchandran, 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
M. A. T. Figueiredo, and R. D. Nowak, 'Wavelet-based image estimation: An empirical Bayes approach using Jeffrey's noninformative prior,' IEEE. Transaction on Image Processing, vol.10, no.9, pp.1322-1331, 2001
Z, Cai, T. H. Cheng, C. Lu, and K. R. Subramanian, 'Efficient wavelet-based image denoising algorithm,' Electronics Letters, vol.37, no.11, pp.683-685, 2001
S. G. Chang, B. Yu, and M. Vetteri, 'Spatially adaptive wavelet thresholding with context modeling for image denoising,' IEEE. Transaction on Image Processing, vol.9, no.9, pp.1522-1531, 2000
S. G. Chang, B. Yu, and M. Vetteri, 'Adaptive wavelet thresholding for image denoising and compression,' IEEE. Transaction on Image Processing, vol.9, no.9, pp.1532-1546, 2000
J. Portilla, V. Strela, M. J. Wainwright, and E. P. Simoncelli, 'Image denoising using Gaussian scale mixtures in the wavelet domain,' IEEE Transaction on Image Processing, vol.12, no.11, pp.1338-1351, 2003
F. Abramovich, T. Sapatinas, and B. Silverman, 'Wavelet thresholding via a Bayesian approach,' Journal of the Royal Statistical Society B, 60, pp.725-749, 1998
H. A. Chipman, E. D. Kolaczyk, and R. E. McCulloch, 'Adaptive Bayesian wavelet shrinkage,' Journal of the American Statistical Association, 92, pp.1413-1421, 1997
B. Vidakovic, 'Nonlinear wavelet shrinkage with Bayes rules and Bayes factors,' Journal of the American Statistical Association, 93, pp.173-179, 1998
M. Clyde, G. Parmigiani, and B. Vidakovic, 'Multiple shrinkage and subset selection in wavelets,' Biometrika, vol.85, no.2, pp.391-401, 1998
D. Leporini, J.-C. Pesquet, and H. Krim, 'Best basis representation with prior statistical models,' Lecture Notes in Statistics, pp.155-172, 1999
B. Vidakovic, 'Wavelet-based nonparametric Bayes methods,' Lecture Notes in Statistics, vol.133, pp.133-155, 1998
Bijaoui, 'Wavelets, Gaussian mixtures and Wiener filtering,' Signal Processing, 82, pp.709-712, 2002
L. Sendur and I. W. Selesnick, 'Bivariate shrinkage functions for wavelet-based denoising exploiting interscale dependency,' IEEE Transaction on Signal Processing, vol.50, no.11, pp.2744-2756, (2002)
L. Sendur and I. W. Selesnick, 'Bivariate shrinkage with local variance estimation,' IEEE Signal Processing Letters, vol.9, no.12, pp.438-441, 2002
D. Cho, and T. D. Bui, 'Multivariate statistical modeling for image denoising using wavelet transforms,' Signal Processing: Image Communication, 20, pp.77-89, 2005
M. S. Crouse, R. D. Nowak, and R.G. Baraniuk, 'Wavelet-based statistical signal processing using hidden Markov models,' IEEE. Transaction on Image Processing, vol.46, pp.886-902, 1998
J. K. Romberg, H. Choi, and R. G. Baraniuk, 'Bayesian tree-structured image modeling using wavelet-domain hidden Markov models,' IEEE. Transaction on Image Processing, vol.10, no.7, pp.1056-1068, 2001
G. Fan and X. G. Xia, 'Image denoising using local contextual hidden Markov model in the wavelet domain,' IEEE Signal Processing Letters, vol.8, no.5, pp.125-128, 2001
M. Malfait and D. Roose, 'Wavelet-based image denoising using a Markov random field a priori model,' IEEE Transaction on Image processing, vol.6, no.4, pp.549-565, 1997
A. Pizurica, W. Philips, I. Lemahieu, and M. Acheroy, 'A joint inter- and intrascale statistical model for wavelet based Bayesian image denoising,' IEEE Transactions on Image Processing, vol.11, no.5, pp.545-557, 2002
F. Champagnat, and J. Idier, 'Generalized marginal likelihood for Gaussian mixtures,' LSS Internal Report GPI-94-01, 20, 1994
E. J. Dudewicz, and S. N. Mishra, Modern Mathematical Statistics, John Wiley and Sons, 1988
N. G. Kingsbury, 'Image processing with complex wavelets,' Phil. Trans. Royal Society London A, 357, pp.2543-2560, 1999
N. Kingsbury, 'Complex wavelets for shift invariant analysis and filtering of signals,'. Applied and Computational Harmonic Analysis, vol.10, no.3, pp.234-253, 2001
J. Zhong, and R. Ning, 'Image denoising based on wavelets and multifractals for singularity detection,' IEEE Transaction on Image Processing, vol.14, no.10, pp.1435-1447, 2005
J. Starck, E. Candes, and D. Donoho, 'The curvelet transform for image denoising,' IEEE Transaction on Image Processing, vol.11, no.6, pp.670-684, 2002
※ AI-Helper는 부적절한 답변을 할 수 있습니다.