Blind identification of multichannel FIR blurs and perfect image restoration

IEEE Transactions on Image Processing

Volumn 9, Issue 11, 2000, Pages 1877-1896

  Giannakis, Georgios B ^a,b   Heath Jr , Robert W ^a,c  

^a IEEE

^b University of Minnesota   (United States)

^c Stanford University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BLIND SOURCE SEPARATION; COMMUNICATION CHANNELS (INFORMATION THEORY); COMPUTER VISION; CONVOLUTION; FIR FILTERS; IMAGE QUALITY; MATHEMATICAL MODELS; SIGNAL TO NOISE RATIO; WHITE NOISE;

ADDITIVE WHITE GAUSSIAN NOISE; BLIND BLUR ESTIMATION; BLIND IMAGE RESTORATION; MULTICHANNEL IMAGE RESTORATION;

IMAGE RECONSTRUCTION;

EID: 0034317334     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/83.877210     Document Type: Article

References (29)

1. G. R. Ayers and J. C. Dainty, "Iterative blind deconvolution method and its applications," Opt. Lett., vol. 13, pp. 547-549, July 1988.
2. C. A. Berenstein and E. V. Patrick, "Exact deconvolution for multiple convolution operators - An overview plus performance characterizations for imaging sensors," Proc. IEEE, vol. 78, pp. 723-734, Apr. 1990.
3. J. Ens and P. Lawrence, "An investigation of methods for determining depth from focus," IEEE Trans. Pattern Anal. Machine Intell., pp. 97-108, 1993.
4. N. P. Galatsanos and R. T. Chin, "Digital restoration of multichannel images, "IEEE Trans. Acoust., Speech, Signal Processing, pp. 271-284, 1989.
5. N. P. Galatsanos, A. K. Katsaggelos, R. T. Chin, and A. D. Hillary, "Least squares restoration of multichannel images," IEEE Trans. Signal Processing, vol. 39, pp. 2222-2236, Oct. 1991.
6. G. B. Giannakis, "Linear cyclic correlation approaches for blind identification of FIR channels," in Proc. 28th Annu. Asilomar Conf. Signals, Systems, Computers, Pacific Grove, CA, Oct. 31-Nov. 2 1994, pp. 420-424.
7. G. B. Giannakis and W. Chen, "Blind blur identification and multichannel image restoration using cyclostationarity," in Proc. IEEE Workshop Nonlinear Signal Image Processing, vol. II, Greece, June 20-22, 1995, pp. 543-546.
8. G. B. Giannakis and S. Halford, "Blind fractionally-spaced equalization of noisy FIR channels: Adaptive and optimal solutions," in Proc. Int. Conf. Acoustics, Speech, Signal Processing, vol. 3, Detroit, MI, May 8-12, 1995, pp. 1972-1975.
9. D. C. Gighlia, "Space invariant deblurring given N independent blurred images of the same object," J. OSA, pp. 392-402, 1984.
10. R. W. Heath, S. D. Halford, and G. B. Gianakis, "Adaptive blind channel identification of FIR channels for Viterbi decoding," in Proc. 30th Annu. Asilomar Conf. Signals, Systems, Computers, Pacific Grove, CA, Nov. 3-6, 1996.
11. A. K. Jain, Fundamentals of Digital Image Processing. Englewood Cliffs, NJ: Prentice-Hall, 1989.
12. T. Kailath, Linear Systems. Englewood Cliffs, New Jersey: Prentice-Hall, 1980.
13. A. K. Katsaggelos, "Iterative image restoration algorithms," Opt. Eng., vol. 28, pp. 735-748, July 1989.
14. A. K. Katsaggelos, J. Biemond, R. W. Schafer, and R. M. Mersereau, "A regularized iterative image restoration algorithm," IEEE Trans. Signal Processing, vol. 39, pp. 914-929, Apr. 1991.
15. Y. Kao and C. Chen, "Two-dimensional Hankel theory," Int. J. Contr., vol. 31, no. 2, pp. 271-284.
16. D. Kundur and D. Hatzinakos, "Blind image deconvolution," Signal Process. Mag., vol. 13, May 1996.
17. N. F. Law and D. T. Nguyen, "Multiple frame projection based blind deconvolution,"Electron. Lett., vol. 31, no. 20, Sept. 1995.
18. R. L. Lagendijk, J. Biemond, and D. E. Boekee, "Identification and restoration of noisy blurred images using the expectation-maximization algorithm, "IEEE Trans. Acoust., Speech, Signal Processing, vol. 38, pp. 1180-1191, July 1990.
19. M. K. Ozkan, A. T. Erdem, M. I. Sezan, and A. M. Tekalp, "Efficient multiframe Wiener restoration of blurred and noisy image sequences," IEEE Trans. Pattern Anal. Machine Intell., pp. 453-476, 1992.
20. A. P. Pentland, "A new sense for depth of field," IEEE Trans. Pattern Anal. Machine Intell., pp. 523-531, 1987.
21. B. Porat, Digital Processing of Random Signals. Englewood Cliffs, NJ: Prentice-Hall, 1994.
22. M. I. Sezan and A. M. Tekalp, "Survey of recent developments in digital image restoration," Opt. Eng., pp. 393-404, 1990.
23. M. Sezen and H. Trussel, "Use of a priori knowledge in multispectral image restoration," in Proc. Int. Conf. Acoustic, Speech, Signal Processing, 1989, pp. 1429-1432.
24. D. T. Slock and C. B. Papadias, "Further results on blind identification and equalization of multiple FIR channels," in Proc. Int. Conf. Acoustics, Speech, Signal Processing, vol. 3, Detroit, MI, May 1995, pp. 1964-1967.
25. L. Tong, G. Xu, and T. Kailath, "Blind identification and equalization based on second-order statistics: A time domain approach," IEEE Trans. Inform. Theory, vol. 40, pp. 340-349, Mar. 1994.
26. M. J. Vrhel and B. L. Trus, "Multi-channel restoration of electron micrographs," in Proc. Int. Conf. Image Processing, vol. 2, Washington, DC, 1995, pp. 516-520.
27. M. J. Vrhel and M. Unser, "Multichannel deconvolution: The generalized sampling approach," Proc. SPIE, vol. 2302, pp. 188-199, 1994.
28. G. Xu, H. Liu, L. Tong, and T. Kailath, "A least-squares approach to blind channel identification," IEEE Trans. Signal Processing, vol. 43, pp. 2983-2993, Dec. 1995.
29. Y.-L. You and M. Kaveh, "A regularization approach to joint blur identification and image restoration, "IEEE Trans. Image Processing, vol. 5, pp. 416-28, Mar. 1996.