Image denoising with an orientation-adaptive Gaussian scale mixture model

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2006, Pages 1433-1436

  Hammond, David K ^a   Simoncelli, Eero P ^b  

^a NEW YORK UNIVERSITY   (United States)

^b NEW YORK UNIVERSITY   (United States)

Author keywords

Image processing; Image restoration

Indexed keywords

BAYESIAN; DE-NOISING; GAUSSIAN PROCESSES; GAUSSIAN SCALE MIXTURES; HIDDEN VARIABLE; IMAGE CONTRASTS; IMAGE DE-NOISING; IMAGE ORIENTATION; IMAGE RESTORATION; LEAST-SQUARES ESTIMATOR; LOCAL ORIENTATIONS; STATISTICAL MODELS; WAVELET COEFFICIENTS;

GAUSSIAN DISTRIBUTION; IMAGE RECONSTRUCTION; NOISE POLLUTION CONTROL; RESTORATION;

IMAGING SYSTEMS;

EID: 78649838951     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2006.312699     Document Type: Conference Paper

References (10)

1. J M Shapiro, "Embedded image coding using zerotrees of wavelet coefficients," IEEE Trans. on Signal Processing, vol. 41, no. 12, pp. 3445-62, December 1993.
2. M J Wainwright and E P Simoncelli, "Scale mixtures of Gaussians and the statistics of natural images," in Adv. Neural Information Processing Systems (NIPS*99), S. A. Solla, T. K. Leen, and K.-R. Muller, Eds., Cambridge, MA, May 2000, vol. 12, pp. 855-861, MIT Press.
3. M K Mihçak, 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, December 1999.
4. E. Candés and D Donoho, "Curvelets: A surprisingly eddective nonadaptive represenentation of objects with edges," in Curves and Surfaces fitting, L L Schumaker, A Cohen and C Rabut, eds, Vandebuilt University Press, 1999.
5. M N Do and M Vetterli, "The contourlet transform: an efficient directional multiresolution image representation," IEEE Trans. on Image Processing, vol. 14, no. 12, pp. 2091-2106, 2005.
6. J K Romberg, M B Wakin, and R G Baraniuk, "Multiscale geometric image processing," in Proceedings of the SPIE, 2003, vol. 5150, pp. 1265-1272.
7. Erwan Le Pennec and Stéphane Mallat, "Sparse geometric image representations with bandlets," IEEE Trans. on Image Processing, vol. 14, no. 4, pp. 423-438, 2005.
8. E P Simoncelli and W T Freeman, "The steerable pyramid: A flexible architecture for multi-scale derivative computation," in 2nd Int'l Confon Image Proc, Washington, DC, October 1995, vol. III, pp. 444-447.
9. M Figueiredo and R Nowak, "Wavelet-based image estimation: An empirical Bayes approach using Jeffrey's noninformative prior," IEEE Trans. Image Processing, vol. 10, no. 9, pp. 1322-1331, September 2001.
10. J Portilla, V Strela, M Wainwright, and E P Simoncelli, "Image denoising using a scale mixture of Gaussians in the wavelet domain," IEEE Trans. Image Processing, vol. 12, no. 11, pp. 1338-1351, November 2003.