Wavelet-domain HMT-based image superresolution

IEEE International Conference on Image Processing

Volumn 2, Issue , 2003, Pages 953-956

  Zhao, Shubin ^a   Han, Hua ^a   Peng, Silong ^a  

^a INSTITUTE OF AUTOMATION   (China)

Author keywords

Hidden Markov Tree; Image super resolution; Wavelets

Indexed keywords

ALGORITHMS; ERROR ANALYSIS; IMAGE RECONSTRUCTION; OPTICAL RESOLVING POWER; PROBABILITY; PROBLEM SOLVING; SIGNAL TO NOISE RATIO; WAVELET TRANSFORMS;

HIDDEN MARKOV TREE (HMT); IMAGE SUPERRESOLUTION;

IMAGE ANALYSIS;

EID: 0344271881     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Richard R. Schultz and Robert L. Stevenson, "A Bayesian Approach to Image Expansion for Improved Definition," IEEE Trans. On Image Processing, Vol. 3, No. 3, pp. 233-242, May 1994.
2. RC Hardie, KJ Barnard, and EE Armstrong, "Joint MAP Registration and High Resolution Image Estimation Using a Sequence of Undersampled Images," IEEE Trans. On Image Processing, Vol. 6, No. 12, Dec. 1997.
3. D. Geman and C. Yang, "Nonlinear image recovery with half-quadratic regularization," IEEE Trans. On Image Processing, vol. 6, pp. 298-311, Feb. 1997.
4. S. Osher, L. I. Rudin, and E. Fatemi, "Nonlinear total variation based noise removal algorithms," Phys. D, vol. 60, pp. 259-268, 1992.
5. Murat Belge, Misha E. Kilmer, and Eric L. Miller, "Wavelet domain image restoration with adaptive edge-preserving regularization," IEEE Trans. On Image Processing, vol. 9, No. 4, pp. 597-608, April 2000.
6. I. Daubechies, Ten Lectures on Wavelets, SIAM, Philadelphia, PA, 1992.
7. Matthew S. Grouse, Robert D. Nowak, and Richard G. Baraniuk, "Wavelet-based statistical signal processing using hidden markov models," IEEE Trans. On Signal Processing, vol. 46, no. 4, pp.886-902, April 1998.