Denoising image via minimum variance bound Bayesian estimator

Proceedings - IEEE International Conference on Multimedia and Expo

Volumn , Issue , 2001, Pages 411-414

  Huang, X ^a  

^a UNIVERSITY OF NEW ENGLAND   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

CRAMER-RAO BOUNDS; LEAST SQUARES APPROXIMATIONS;

BAYESIAN ESTIMATORS; CRAMER-RAO LOWER BOUND; DE-NOISING; LEAST-SQUARES ESTIMATOR; MINIMUM VARIANCE; NATURAL EXTENSION; WAVELET DENOISING; WIENER SOLUTION;

IMAGE DENOISING;

EID: 84908297063     PISSN: 19457871     EISSN: 1945788X     Source Type: Conference Proceeding    
DOI: 10.1109/ICME.2001.1237744     Document Type: Conference Paper

References (19)

1. D. L. Donoho and I. M. Johnstone, "Wavelet shrinkage: Asymptopia?", Journal of the Royal Statistical Society, Series B, vol. 57, 301-369, 1995.
2. Y. XU, J. B. Weaver, D. M. Healy, and J. Lu, "Wavelet transform domain filtration technique", IEEE Transactions on Image Processing, vol. 3, 747-758, 1994.
3. D. L. Donoho, "Nonlinear wavelet methods for recovery of signals, densities, and spectra from indirect and noisy data", In Proceeding of Symposia in Applied Mathematic, American Mathematical Society vol. 00, 173-205, 1993.
4. N. Weyrich and G. T. Warhola, "De-noising using wavelets and cross validation", Technical Report. AFIT/TR/94-01, Air Force Institute of Technology, Department of Mathematics and Statistics, June 1994.
5. Martin J. Wainwright, Eero P. Simoncelli, and Alan S. Willsky, "Random cascades of Gaussian scale mixtures and their use in modeling natural images with application to denosing", Proceeding of the 7th International Conference on Image Processing, Vancouver, BC, Canada. 10-13 September, 2000.
6. D. L. Donoho and I. M. Johnstone, "Ideal spatial adaptation by wavelet shrinkage", Biometrika, Also Tech. Report of Statistics, July, 1992, revised April 1993.
7. R. A. Gopinath, M. Lang, H. Guo, and J. E. Odegard, "Enhancement of decompressed images at low bit rates", ISPIE Math. Imaging; Wavelet Applications in Signal and Image Processing vol. 2303, 366-377, San Diego, CA, July 1994.
8. H. Guo, J. E. Odegard, M. Lang, R. A. Gopinath, I. Selesnick, and C. S. Burrus, "Speckle reduction via wavelet shrinkage with application to SAR based ATD/R", In SPIE math. Imageing: Wavelet Applications in Signal and Image Processing, vol. 2303, 333-344, San Digo, CA, July 1994.
9. G. P. Nason, "Wavelet regression by cross-validation", Technical Report 447, Stanford University, Statistics Department, March 1994.
10. N. Saito, "Simultaneous noise suppression and signal compression using a library of orthonormal bases and the minimum description length criterion", In Wavelet Applications, vol. 2242, 224-235, Bellingham, WA, 1994 SPIE.
11. B. R. Hunt and O. Kubler, "Karhunen-Loeve multispectral image restoration, Part I: Theory", IEEE Trans. On Acoustic Speech and Signal. Proc, ASSP vol. 32, 592-600, 1984.
12. N. P. Galatssanos and R. T. Chin, "Digital restoration of multichannel images", IEEE Trans. Acoust. SP., and Sign. Proco., vol. 37, 415-426, 1989.
13. M. K. Ozhan, A, T. Erden, M. I. Sezan, and A. M. Tekalp, "Efficient multiframe Wiener restoration of blurred and noisy image sequences", IEEE Trans. Image Proc, vol. 1, 453-476, 1992.
14. Eero P. Simoncelli, "Baysian denoising of visual images in the wavelet domain", Bayesion Inference in Wavelet Based Models eds., Pmuller and B Vidakovic, Chapter 18, pp291-308, lecture notes in statistics, vol. 141, Springer-Verlag, New York, 1999.
15. X. Huang and G. A. Woolsey, "Image denoising using Wiener filtering and wavelet thresholding", IEEE International Conference, ICME 2000, NY, USA, Proc. Vol. 3ppl759-1762, 2000.
16. X. Huang, "Minimum Variance Bound Bayesian Least-Squares Estimator for Image", IEEE of ISCAS 2001, Sydney, Australia, August 20001.
17. D. J. Field, "What is the goal of sensory coding?", Neural Computation, vol. 6, pp559-601, 1994.
18. S. G. Mallat, "A theory for multireslution signal decomposition: The wavelet representation", IEEE Pat. Anal, Mach. Intell., vol. 11, pp674-693, July 1989.
19. E. P. Simoncell and E. H. Adelson, "Noise removal via Bayesian wavelet coring", In Third Int. Conf. On Image Proc, vol. I, pp379-382, Lausanne, September 1996. IEEE Sig. Proc. Society.