Robust Modeling for Image Restoration Using a Modified Reduced Update Kalman Filter

IEEE Transactions on Signal Processing

Volumn 40, Issue 10, 1992, Pages 2584-2588

  Belaifa, Hosni B H ^a   Schwartz, Howard M ^a  

^a CARLETON UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; KALMAN FILTERING; SPURIOUS SIGNAL NOISE;

GAUSSIAN NOISE; MEDIAN FILTER; REDUCED UPDATE KALMAN FILTER;

IMAGE RECONSTRUCTION;

EID: 0026941102     PISSN: 1053587X     EISSN: 19410476     Source Type: Journal    
DOI: 10.1109/78.157298     Document Type: Article

References (5)

1. R. L. Kashyap and K.-B. Eom, “Robust image modeling techniques with an image restoration application,” IEEE Trans. Acoust., Speech, Signal Processing, vol. 36, no. 8, pp. 1313-25, Aug. 1988.
2. J. W. Woods and C. H. Radewan, “Kalman filtering in two dimensions,” IEEE Trans. Inform. Theory, vol. IT-23, no. 4, pp. 473-482, July 1977.
3. J. W. Woods and V. K. Ingle, “Kalman filtering in two-dimensions: Further results,” IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-29, no. 2, pp. 188-197, Apr. 1981.
4. A. M. Tekalp, H. Kaufman, and J. W. Woods, “Edge adaptive Kalman filtering for image restoration with rigging suppression,” IEEE Trans. Acoust., Speech, Signal Processing, vol. 37, no. 6, pp. 892-899, June 1989.
5. Z. Wu, “Multidimensional state-space model Kalman filtering with application to image restoration,” IEEE Trans. Acoust., Speech, Signal Processing, vol. 33, no. 6, pp. 1576-1592, Dec. 1985.