Maximum Likelihood Parametric Blur Identification Based on a Continuous Spatial Domain Model

IEEE Transactions on Image Processing

Volumn 1, Issue 4, 1992, Pages 496-504

  Pavlović, Gordana ^a   Tekalp, A Murat ^b  

^a LUCENT TECHNOLOGIES   (United States)

^b UNIVERSITY OF ROCHESTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0001552578     PISSN: 10577149     EISSN: 19410042     Source Type: Journal    
DOI: 10.1109/83.199919     Document Type: Article

References (9)

1. D. B. Gennery, “Determination of optical transfer function by inspection of frequency-domain plot,” J. Opt. Soc. Amer., vol. 63, pp. 1571–1577, Dec. 1973.
2. M. Cannon, “Blind deconvolution of spatially invariant image blurs with phase,” IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-24, pp. 58–63, Feb. 1976.
3. A. M. Tekalp, H. Kaufman, and J. W. Woods, “Identification of image and blur parameters for the restoration of noncausal blurs,” IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-34, pp. 963–972, Aug. 1986.
4. A. M. Tekalp and H. Kaufman, “On statistical identification of a class of linear space-invariant blurs using nonminimum phase ARMA models,” IEEE Trans. Acoust., Speech, Signal Processing, vol. 36, pp. 1360–1363, Oct. 1988.
5. R. L. Lagendijk, A. M. Tekalp, and J. Biemond, “Maximum likelihood image and blur identification: A unifying approach,” Opt. Eng., vol. 29, pp. 422–435, May 1990.
6. R. L. Lagendijk, J. Biemond, and D. E. Boekee, “Identification and restoration of noisy and blurred images using the expectation-maximization algorithm,” IEEE Trans. Acoust., Speech, Signal Processing, vol. 38, pp. 1180–1191, July 1990.
7. K. T. Lay and A. K. Katsaggelos, “Image identification and restoration based on the expectation-maximization algorithm,” Opt. Eng., vol. 29, pp. 436–445, May 1990.
8. R. L. Lagendijk and J. Biemond, Iterative Identification and Restoration of Images. Boston, MA: Kluwer Academic, 1991.
9. A. M. Tekalp and G. Pavlović, “Image restoration with multiplicative noise: Incorporating the sensor nonlinearity,” IEEE Trans. Signal Processing, vol. 39, pp. 2132–2136, Sept. 1991.