A machine learning framework for adaptive combination of signal denoising methods

Proceedings - International Conference on Image Processing, ICIP

Volumn 6, Issue , 2006, Pages

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

^a NEW YORK UNIVERSITY   (United States)

Author keywords

Image denoising; Image processing; Kernel Ridge Regression; Machine learning

Indexed keywords

DECISION FUNCTIONS; DENOISING ALGORITHMS; GENERAL FRAMEWORKS; IMAGE DENOISING; IMAGE DENOISING ALGORITHMS; KERNEL RIDGE REGRESSION; LEARNING PROBLEMS; LOCAL DENOISING METHODS; MACHINE LEARNING; SIGNAL DENOISING; TRAINING DATUMS;

DIGITAL IMAGE STORAGE; EDUCATION; IMAGE PROCESSING; IMAGING SYSTEMS; LEARNING SYSTEMS; REGRESSION ANALYSIS; ROBOT LEARNING; SIGNAL PROCESSING;

LEARNING ALGORITHMS;

EID: 48149087583     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2007.4379513     Document Type: Conference Paper

References (10)

1. S Grace Chang, Bin Yu, and Martin Vetterli, "Spatially adaptive wavelet thresholding with context modelling for image denoising," IEEE Transactions on Image Pmcessing, vol. 9, no. 9, pp. 1522-1531, 2000.
2. C R Jung and J Scharcanski, "Adaptive image denoising and edge enhancement in scale-space using the wavelet transform," Pattern Recognition Letters, vol. 24, pp. 965-971, 2003.
3. H Cheng, Q Yu, J Tian, and J Liu, "Image denoising using wavelet and support vector regression," in Proc. of the 3rd International Conf on Image and Graphics, 2004, pp. 43-46.
4. B Sun, D Huang, and H Fang, "Lidar signal denoising using least-squares support vector machine," IEEE Signal Processing Letters, vol. 12, pp. 101-104, 2005.
5. Tzu-Chao Lin and Pao-Ta Yu, "Adaptive Two-Pass Median Filter Based on Support Vector Machines for Image Restoration," Neural Comp., vol. 16, no. 2, pp. 333-354, 2004.
6. Nello Cristianini and John Shawe-Taylor, An Introduction to Support Vector Machines and other kernel-based learning methods, Cambridge University Press, 2000.
7. G Saon, "A nonlinear speaker adaptation technique using kernel ridge regression," in IEEE Conference on Acoustics, Speech and Signal Processing (ICASSP), 2006.
8. 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.
9. D Hammond and E P Simoncelli, "Image denoising with an orientation-adaptive gaussian scale mixture model," in Proc. of ICIP, 2006.
10. EP Simoncelli and W T Freeman, "The steerable pyramid: A flexible architecture for multi-scale derivative computation," in Proc. of ICIP, Washington, DC, October 1995, vol. III, pp. 444-447.