Nonuniform Image Motion Estimation from Noisy Data

IEEE Transactions on Acoustics, Speech, and Signal Processing

Volumn 38, Issue 2, 1990, Pages 364-366

  Namazi, Nader M ^a   Lee, Chong H ^b  

^a MICHIGAN TECHNOLOGICAL UNIVERSITY   (United States)

^b UNIVERSITY OF WISCONSIN MADISON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER PROGRAMMING--ALGORITHMS; COMPUTER SIMULATION; DEMODULATION; MATHEMATICAL TECHNIQUES--ESTIMATION;

COVARIANCE FUNCTION MATRIX; IMAGE MOTION ESTIMATION; ITERATIVE ALGORITHMS; MAXIMUM LIKELIHOOD ESTIMATION;

IMAGE PROCESSING;

EID: 0025386537     PISSN: 00963518     EISSN: None     Source Type: Journal    
DOI: 10.1109/29.103075     Document Type: Article

References (10)

1. T. S. Huang, Ed., Image Sequence Analysis, Vol. 5. New York: Springer, Ser. Inform. Sci., 1984.
2. Y. Bresler and S. J. Merhav, “Recursive image registration with application to motion estimation,” IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-35, pp. 70–85, Jan. 1987.
3. N. M. Namazi and J. A. Stuller, “A new approach to signal registration with the emphasis on variable time delay estimation,” IEEE Trans. Acousl., Speech, Signal Processing, vol. ASSP-35, pp. 1649–1660, Dec. 1987.
4. J. A. Stuller, “Maximum likelihood estimation of time-varying delay—Part I,” IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-35, pp. 300–313, Mar. 1987.
5. A. N. Netravali and J. D. Robbins, “Motion-compensated television coding: Part I,” Bell Syst. Tech. J., vol. 58, pp. 631–671, Mar. 1979.
6. N. M. Namazi, “Convergence analysis of the generalized maximum likelihood algorithm in two-dimensional space. Part II,” in Proc. 17th IASTED Int. Symp. Simulation Model,” Lugano, Switzerland, June 1989, pp. 302–306.
7. —, “An adaptive realization of the generalized maximum likelihood algorithm in two-dimensional space,” in Proc. IASTED Int. Conf. Contr. Signal Processing, Honolulu, HI, Aug. 1989, pp. 75–78.
8. M. M. John and G. S. Mario, Numerical Methods in Fortran. Englewood Cliffs, NJ: Prentice-Hall, 1964.
9. C. H. Lee, “A new approach to image motion estimation based on MAP and ML principles,” M.S. thesis, Michigan Technol. Univ., Houghton. 1987.
10. J. A. Stuller and G. Kraz, “Two-dimensional Markov representations of sampled images,” IEEE Trans. Commun., vol. COM-27, pp. 1148–1152, Oct. 1979.