Identification and Restoration of Spatially Variant Motion Blurs in Sequential Images

IEEE Transactions on Image Processing

Volumn 1, Issue 1, 1992, Pages 123-126

  Fogel, S ^b  

^a NORTH CAROLINA STATE UNIVERSITY   (United States)

^b EASTMAN KODAK COMPANY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE PROCESSING - RECONSTRUCTION; MATHEMATICAL TECHNIQUES - CONVERGENCE OF NUMERICAL METHODS; MATHEMATICAL TECHNIQUES - ITERATIVE METHODS;

LANDWEBER ITERATION; POINT SPREAD FUNCTION; SEQUENTIAL IMAGING CAMERAS; SPATIALLY VARIANT MOTION BLURS;

CAMERAS;

EID: 0026685410     PISSN: 10577149     EISSN: 19410042     Source Type: Journal    
DOI: 10.1109/83.128039     Document Type: Article

References (9)

1. A. A. Sawchuk, “Space-variant image restoration by coordinate transformations,” J. Opt. Soc. Amer., vol. 64, pp. 138–144, 1974.
2. H. J. Trussell and B. R. Hunt, “Image restoration of space-variant blurs by sectional methods,” IEEE Trans. Acoust. Speech, Signal Processing, vol. ASSP-26, pp. 608–609, 1978.
3. A. M. Tekalp and G. Pavlovic, “Space-variant and color image restoration using Kalman filtering,” in Proc. Int. Symp. Circuits and Systems, Portland, OR, May8–11, 1989, pp. 9–12.
4. H. C. Andrews and B. R. Hunt, Digital Image Restoration. Englewood Cliffs, NJ: Prentice-Hall.
5. H. J. Trussell and B. R. Hunt, “Improved methods of maximum a posteriori image restoration,” IEEE Trans. Comput., vol. C-27, pp. 57-62, Jan. 1979.
6. R. W. Schafer, R. M. Mersereau, and R. M. Richards, “Constrained iterative restoration methods,” Proc. IEEE, vol. 69, pp. 432–450, Apr. 1981.
7. H. J. Trussell, “Convergence criteria for iterative restoration methods,” IEEE Trans. Acoust. Speech, Signal Processing, vol. ASSP-31, pp. 129–136, Feb. 1983.
8. P. L. Combettes and H. J. Trussell, “Methods of digital restoration of signals degraded by a stochastic impulse response,” IEEE Trans. Acoust. Speech, Signal Processing, vol. 37, No. 3, pp. 393–401, Mar. 1989.
9. S. Fogel, “The estimation of velocity vector fields from time-varying image sequences,” in Computer Vision, Graphics and Image Proc., May 1991.