Super-resolution reconstruction of image sequences

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 21, Issue 9, 1999, Pages 817-834

  Elad, Michael ^a   Feuer, Arie ^a  

^a HEWLETT PACKARD LABORATORIES   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; IMAGE QUALITY; ITERATIVE METHODS; KALMAN FILTERING; LEAST SQUARES APPROXIMATIONS; MATRIX ALGEBRA; RECURSIVE FUNCTIONS;

IMAGE SEQUENCES; LEAST MEAN SQUARES; RECURSIVE LEAST SQUARES; STEEPEST DESCENT; SUPER RESOLUTION;

IMAGE RECONSTRUCTION;

EID: 0033188821     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/34.790425     Document Type: Article

References (15)

1. M. Elad and A. Feuer, "Super-Resolution Restoration of Continuous Image Sequence - Adaptive Filtering Approach," IEEE Trans. Image Processing, vol. 8, no. 3, pp. 387-395, Marc. 1999.
2. M. Irani and S. Peleg, "Motion Analysis for Image Enhancement: Resolution, Occlusion, and Transparency," J. Visualization, Computers, and Image Recognition, vol. 4, pp. 324-335, Dec. 1993.
3. A.J. Patti, M.I. Sezan, and A.M. Tekalp, "High-Resolution Image Reconstruction from a Low-Resolution Image Sequence in the Presence of Time-Varying Motion Blur," Proc. Int'l Conf. Image Processing, pp. 343-347, Austin, Tex., Nov. 1994.
4. R.S. Schultz and R.L. Stevenson, "Extraction of High-Resolution Frames from Video Sequences," IEEE Trans. Image Processing, vol. 5, pp. 996-1,011, June 1996.
5. H. Shekarforoush, M. Berthod, J. Zerubia, and M. Werman, "Sub-Pixel Bayesian Estimation of Albedo and Height," Int'l J. Computer Vision, vol. 19, pp. 289-300, 1996.
6. P. Cheeseman, B. Kanefsky, R. Kraft, J. Stutz, and R. Henson, "Super-Resolved Surface Reconstruction from Multiple Images," NASA, Ames Research Center, Technical Report FIA-94-12, 1994.
7. M. Elad and A. Feuer, "Restoration of Single Super-Resolution Image from Several Blurred, Noisy and Down-Sampled Measured Images," IEEE Trans. Image Processing, vol. 6, pp. 1,646-1,658, Dec. 1997.
8. T. Patti, A.M. Tekalp, and A.M Sezan, "Image Sequence Restoration and De-Interlacing by Motion-Compensated Kalman Filter," Proc. SPIE - The Int'l Soc. Optical Eng., vol. 1,903, pp. 59-70, 1991.
9. A.K. Katsagellos, J.N. Driessen, S.N. Efstratiadis, and L.J. Lagendijk, "Spatio-Temporal Motion Compensated Noise Filtering of Image Sequences," Proc. SPIE - Int'l Soc. Optical Eng., vol. 1,199, pp. 61-70, 1989.
10. C.K. Chui and G. Chen, Klaman Filtering. Springer-Verlag, 1990.
11. A.H. Jazwinski, Stochastic Processes and Filtering Theory. Academic Press, 1970.
12. P.S. Maybeck, Stochastic Models, Estimation and Control, vols. I-II. New York: Academic Press, 1979.
13. L.A. Hageman and D.M. Young, Applied Iterative Methods. Academic Press, 1981.
14. D.P. Bertsekas, Nonlinear Programming. Belmont, Mass.: Athena Scientific, 1995.
15. S. Haykin, Adaptive Filter Theory. Prentice Hall, 1986.