Iterative restoration of fast-moving objects in dynamic image sequences

Optical Engineering

Volumn 35, Issue 12, 1996, Pages 3460-3469

  Tull, Damon L ^a  

^a Northwestern University   (United States)

Author keywords

Blur assisted; Blur identification; Constant velocity; Fast motion; Image sequence processing

Indexed keywords

EID: 0001442883     PISSN: 00913286     EISSN: None     Source Type: Journal    
DOI: 10.1117/1.601108     Document Type: Article

References (17)

1. A. K. Katsaggelos, Ed., Digital Image Restoration, Vol. 23 of Springer Series in Information Sciences, Springer-Verlag, New York (1991).
2. W. Chen, N. Nandhakumar and W. Martin, "Investigating a new visual cue 'motion from smear' for image motion estimation," in IEEE Int. Conf. on Image Processing, Vol. 3, p. 761-765 (1994).
3. H. J. Trussell and S. Fogel, "Identification and restoration of spatially variant motion blurs in sequential images," IEEE Trans. Image Proc. 1(1) (1992).
4. D. L. Tull and A. K. Katsaggelos, "Iterative restoration of fast moving objects in dynamic image sequences," in Visual Communications and Image Processing, Proc. SPIE 2501, 1088-1098 (May 1995).
5. A. A. Sawchuk, "Space-variant image restoration by coordinate transformations," J. Opt. Soc. Am. 64(2), 138-144 (1974).
6. R. W. Schafer, R. M. Mersereau, and M. A. Richards, "Constrained iterative restoration algorithms," Proc. IEEE 69, 432-450 (1981).
7. A. K. Katsaggelos, "Iterative image restoration algorithms," Opt. Eng. 28(7), 735-748 (1989).
8. D. L. Tull, "Iterative restoration of space variant blurs caused by fast moving objects in image sequences," M. S. Project, Northwestern University, Evanston, IL (1994).
9. M. E. Zervakis, A. K. Katsaggelos, and T. K. Kwon, "A class of robust functionals for image restoration," IEEE Trans. Image Proc. 3(14), 752-773 (1995).
10. D. Geman and G. Reynolds, "Constrained restoration and the recovery of discontinuities," IEEE Trans. PAMI 3(14), 367-383 (1992).
11. S. Geman and D. Geman, "Stochastic relaxation, Gibbs distributions, and the bayesian restoration of images," IEEE Trans. Pattern Anal. Machine Intell. 6(6), 721-741 (1984).
12. F. R. Hampel, E. M. Ronchetti, P. J. Rousseuw, and W. A. Stahel, Robust Statistics: The Approach Based on Influence Functions, Wiley, New York (1986).
13. R. L. Kashyap and K. Eom, "Robust image models and their applications," in Advances in Electronic and Electron Physics, Vol. 70, pp. 79-157 Academic Press, New York (1988).
14. N. P. Galatsanos and A. K. Katsaggelos, "Methods for choosing the regularizing parameter and estimating the noise variance in image restoration and their relation," IEEE Trans. Image Proc. 3(1), 322-336 (1992).
15. W. H. Press, S. A. Teukolsky, W. T. Vetterling, and B. P. Flannery, Numerical Recipes in C, Cambridge Univ. Press, New York (1992).
16. J. C. Brailean and A. K. Katsaggelos, "A recursive nonstationary map displacement vector field estimation algorithm," IEEE Trans. Image Proc. 4(4), 416-429 (1995).
17. D. L. Tull and A. K. Katsaggelos, "Regularized blur-assisted displacement field estimation," IEEE Image Process., ICIP 3, 85-88 (1996).