A telescoping approach to recursive enhancement of noisy images

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2010, Pages 1386-1389

  Vats, Divyanshu ^a   Moura, José M F ^a  

^a CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

Image enhancement; Kalman filtering; Markov processes; Recursive estimation; Stochastic fields

Indexed keywords

IMAGE ENHANCEMENT; KALMAN FILTERS; STOCHASTIC SYSTEMS;

FOUR-NEAREST-NEIGHBORS; KALMAN-FILTERING; NEW APPROACHES; NOISY IMAGE; PIXEL VALUES; RANDOM FIELD MODEL; RANDOM FIELDS; RECURSIVE ESTIMATION; RECURSIVE ESTIMATORS; STOCHASTIC FIELD;

MARKOV PROCESSES;

EID: 78049392597     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2010.5495457     Document Type: Conference Paper

References (9)

1. Havard Rue and Leonhard Held, Gaussian Markov Random Fields: Theory and Applications (Monographs on Statistics and Applied Probability), Chapman & Hall/CRC, 1 edition, February 2005.
2. J. W. Woods, "Two-dimensional discrete Markovian fields," IEEE Trans. Inf. Theory, vol. IT-18, pp. 232-240, March 1972.
3. J. Woods and C. Radewan, "Kalman filtering in two dimensions," IEEE Trans. Inf. Theory, vol. 23, no. 4, pp. 473-482, Jul 1977.
4. José M. F. Moura and Nikhil Balram, "Recursive structure of noncausal Gauss-Markov random fields," IEEE Trans. Inf. Theory, vol. IT-38, no. 2, pp. 334-354, March 1992.
5. A. Asif, "Fast Rauch-Tung-Striebel smoother-based image restoration for noncausal images," IEEE Signal Process. Lett., vol. 11, no. 3, pp. 371-374, Mar. 2004.
6. Jianbo Shi and J. Malik, "Normalized cuts and image segmentation," IEEE Trans. Pattern Anal. Mach. Intell., vol. 22, no. 8, pp. 888-905, Aug. 2000.
7. R. Chellappa and S. Chatterjee, "Classification of textures using Gaussian Markov random fields," Acoustics, Speech and Signal Processing, IEEE Transactions on, vol. 33, no. 4, pp. 959-963, Aug 1985.
8. J. Portilla, V. Strela, M. J. Wainwright, and E. P. Simoncelli, "Image denoising using scale mixtures of Gaussians in the wavelet domain," IEEE Trans. Image Process., vol. 12, no. 11, pp. 1338-1351, Nov. 2003.
9. G. M. Gemelos, S. Sigurjonsson, and T. Weissman, "Algorithms for discrete denoising under channel uncertainty," IEEE Trans. Signal Process., vol. 54, no. 6, pp. 2263-2276, June 2006.