A recursive soft-decision approach to blind image deconvolution

IEEE Transactions on Signal Processing

Volumn 51, Issue 2, 2003, Pages 515-526

  Yap, Kim Hui ^a   Guan, Ling ^b   Liu, Wanquan ^c  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b RYERSON UNIVERSITY   (Canada)

^c CURTIN UNIVERSITY   (Australia)

Author keywords

Blind image deconvolution; Conjugate gradient; Hierarchical neural network; Soft decision

Indexed keywords

ALGORITHMS; DECISION THEORY; NEURAL NETWORKS; SIMULATED ANNEALING;

BLIND IMAGE DECONVOLUTION;

IMAGE RECONSTRUCTION;

EID: 0037306390     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSP.2002.806985     Document Type: Article

References (33)

1. H.C. Andrews and B. R. Hunt, Digital Image Restoration. Englewood Cliffs, NJ: Prentice-Hall, 1977.
2. R. C. Gonzalez and R. Woods, Digital Image Processing. Reading, MA: Addison-Wesley, 1992.
3. M. R. Banham and A. K. Katsaggelos, "Digitai image restoration," IEEE Signal Processing Mag., vol. 14, pp. 24-41, Feb. 1997.
4. M. Bertero, T. Poggio, and V. Torte, "Ill-posed problems in early vision," Proc. IEEE, vol. 76, pp. 869-889, Aug. 1988.
5. M. M. Chang, A. M. Tekalp, and A. T. Erdem, "Blur identification using the bispectrum," IEEE Trans. Signal Processing, vol. 39, pp. 2323-2325, Oct. 1991.
6. R. Fabian and D. Malah, "Robust identification of motion and out-offocus blur parameters from blurred and noisy images," CVGIP: Graphical Models Image Process., vol. 53, pp. 403-412, Sept. 1991.
7. S. K. Kim and J. K. Paik, "Out-of-focus blur estimation and restoration for digital auto-focusing system," Electron. Lett., vol. 34, pp. 1217-1219, June 1998.
8. D. Kundur and D. Hatzinakos, "Blind image restoration," IEEE Signal Processing Mag., pp. 43-64, May 1996.
9. 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.
10. K.T. Lay and A. K. Katsaggelos, "Image identification and restoration based on expectation-maximization algorithm," Opt. Eng., vol. 29, no. 5, pp. 436-445, May 1990.
11. A.M. Tekalp, H. Kaufman, and J. Woods, "Identification of image and blur parameters for restoration of noncausal blurs," IEEE Trans. Acoust. Speech, Signal Processing, vol. ASSP-34, pp. 963-972, 1986.
12. S. J. Reeves and R. M. Merserean, "Blur identification by the method of generalized cross-validation," IEEE Trans. Image Processing, vol. 1, pp. 301-311, July 1992.
13. G. R. Ayers and J. C. Dainty, "Iterative blind image deconvolution method and its applications," Opt. Lett., vol. 13, pp. 547-549, July 1988.
14. B. C. McCallum, "Blind deconvolution by simulated annealing," Opt. Commun., vol. 75, pp. 101-105, Feb. 1990.
15. D. Kundur and D. Hatzinakos, "A novel blind image deconvolution scheme for image restoration using recursive filtering," IEEE Trans. Signal Processing, vol. 46, pp. 375-390, Feb. 1998.
16. C.A. Ong and J. A. Chambers, "An enhanced NAS-RIF algorithm for blind image deconvolution," IEEE Trans. Image Processing, vol. 8, pp. 988-992, July 1999.
17. M. K. Ng, R. J. Plemmons, and S. Qiao, "Regularization of RIF blind image deconvolution," IEEE Trans. Image Processing, vol. 9, pp. 1130-1134, June 2000.
18. H.-T. Pal and A. C. Bovik, "On eigenstructure-based direct multichannel blind image restoration," IEEE Trans. Image Processing, vol. 10, pp. 1434-1446, Oct. 2001.
19. G.B. Giannakis and R. W. Heath, "Blind identification of multichannel FIR blurs and perfect image restoration," IEEE Trans. Image Processing, vol. 9, pp. 1877-1896, Nov. 2000.
20. S. U. Pillai and B. Liang, "Blind image deconvolution using a robust GCD approach," IEEE Trans. Image Processing, vol. 8, pp. 295-301, Feb. 1999.
21. Y.-L. You and M. Kaveh, "A regularization approach to joint blur identification and image restoration," IEEE Trans. Image Processing, vol. 5, pp. 416-428, Mar. 1996.
22. T.F. Chan and C.-K. Wong, "Total variation blind deconvolution," IEEE Trans. Image Processing, vol. 7, pp. 370-375, Mar. 1998.
23. Y.-T. Zhou, R. Chellappa, A. Vaid, and B. K. Jenkins, "Image restoration using a neural network," IEEE Trans. Acoust. Speech, Signal Processing, vol. 36, pp. 1141-1151, July 1988.
24. J. K. Paik and A. K. Katsaggelos, "Image restoration using a modified network," IEEE Trans. Image Processing, vol. 1, pp. 49-63, Jan. 1992.
25. J.A. Anderson and J. P. Sutton, "A network of networks: Computation and neurobiology," in Proc. World Congr. Neural Networks, vol. 1, 1995, pp. 561-568.
26. J. P. Sutton, "Hierarchical organization and disordered neural systems," Ph.D. dissertation, Univ. Toronto, Toronto, ON, Canada, 1988.
27. S.W. Perry and L. Guan, "Weight assignment for adaptive image restoration by neural networks," IEEE Trans. Neural Networks, vol. 11, pp. 156-170, Jan. 2000.
28. J. S. Weszka, C. R. Dyer, and A. Rosenfeld, "A comparative study of texture measures for terrain classification," IEEE Trans. Syst., Man, Cybern., vol. SMC-6, pp. 269-285, Apr. 1976.
29. L. Guan, "Model-based neural evaluation and iterative gradient optimization in image restoration and statistical filtering," J. Electron. Imag., vol. 4, pp. 407-412, Apr. 1995.
30. L. Guan, J. A. Anderson, and J. P. Sutton, "A network of networks processing models for image regularization," IEEE Trans. Neural Networks, vol. 8, pp. 169-174, Jan. 1997.
31. H.-S. Wong and L. Guan, "Adaptive regularization in image restoration using a model-based neural network," Opt. Eng., vol. 36, pp. 3297-3308, Dec. 1997.
32. J. B. Hiriart-Urruty and C. Lemarecal, Convex Analysis and Minimization Algorithms I. New York: Springer-Vedag, 1993.
33. T.F. Chan and C. K. Wong, "Convergence of the alternating minimization algorithm for blind deconvolution," Linear Algebra Appl., vol. 316, pp. 259-285, Sept. 2000.