Spatially adaptive intensity bounds for image restoration

Eurasip Journal on Applied Signal Processing

Volumn 2003, Issue 12, 2003, Pages 1167-1180

  May, Kaaren L ^a   Stathaki, Tania ^b   Katsaggelos, Aggelos K ^c  

^a Snell and Wilcox Ltd   (United Kingdom)

^b IMPERIAL COLLEGE LONDON   (United Kingdom)

^c Northwestern University   (United States)

Author keywords

Blind image restoration; Blur identification; Image resolution; Set theoretic estimation

Indexed keywords

BLIND SOURCE SEPARATION; CONSTRAINT THEORY; CONVERGENCE OF NUMERICAL METHODS; GRADIENT METHODS; IMAGE QUALITY; PARAMETER ESTIMATION; SET THEORY;

BLIND IMAGE RESTORATION; BLUR IDENTIFICATION; SPATIALLY ADAPTIVE INTENSITY BOUNDS;

IMAGE RECONSTRUCTION;

EID: 0346342569     PISSN: 11108657     EISSN: None     Source Type: Journal    
DOI: 10.1155/S1110865703308066     Document Type: Article

References (31)

1. A. K. Katsaggelos, Ed., Digital Image Restoration, Springer-Verlag, Berlin, Germany, 1991.
2. D. Kundur and D. Hatzinakos, "Blind image deconvolution," IEEE Signal Processing Magazine, vol. 13, no. 3, pp. 43-64, 1996.
3. A. N. Tikhonov and V. Y. Arsenin, Solutions of Ill-Posed Problems, John Wiley & Sons, NY, USA, 1977.
4. D. Kundur and D. Hatzinakos, "A novel blind deconvolution scheme for image restoration using recursive filtering," IEEE Trans. Signal Processing, vol. 46, no. 2, pp. 375-390, 1998.
5. R. L. Lagendijk, J. Biemond, and D. E. Boekee, "Regularized iterative image restoration with ringing reduction," IEEE Trans. Acoustics, Speech, and Signal Processing, vol. 36, no. 12, pp. 1874-1888, 1988.
6. Y. Yang, N. P. Galatsanos, and H. Stark, "Projection-based blind deconvolution," Journal of the Optical Society of America, vol. 11, no. 9, pp. 2401-2409, 1994.
7. M. I. Sezan and A. M. Tekalp, "Adaptive image restoration with artifact suppression using the theory of convex projections," IEEE Trans. Acoustics, Speech, and Signal Processing, vol. 38, no. 1, pp. 181-185, 1990.
8. 1 norm," IEEE Trans. Signal Processing, vol. 40, no. 1, pp. 159-168, 1992.
9. S. Kaczmarz, "Angenäherte Auflösung von Systemen linearer Gleichungen," Bull. Acad. Polon. Sci., vol. A35, pp. 355-357, 1937.
10. M. C. Hong, T. Stathaki, and A. K. Katsaggelos, "Iterative regularized image restoration using local constraints," in Proc. IEEE Workshop on Nonlinear Signal and Image Processing, Mackinac Island, Mich, USA, September 1997.
11. M. G. Kang and A. K. Katsaggelos, "General choice of the regularization functional in regularized image restoration," IEEE Trans. Image Processing, vol. 4, no. 5, pp. 594-602, 1995.
12. A. K. Katsaggelos and M. G. Kang, "Spatially adaptive iterative algorithm for the restoration of astronomical images," International Journal of Imaging Systems and Technology, vol. 6, no. 4, pp. 305-313, 1995.
13. K. May, T. Stathaki, and A. K. Katsaggelos, "Iterative blind image restoration using local constraints," in Proc. European Conference on Signal Processing, pp. 335-338, Rhodes, Greece, September 1998.
14. K. May, T. Stathaki, and A. K. Katsaggelos, "Blind image restoration using local bound constraints," in Proc. IEEE Int. Conf. Acoustics, Speech, Signal Processing, vol. 5, pp. 2929-2932, Seattle, Wash, USA, May 1998.
15. K. May, T. Stathaki, A. G. Constantinides, and A. K. Katsaggelos, "Iterative determination of local bound constraints in iterative image restoration," in Proc. IEEE International Conference on Image Processing, vol. 2, pp. 833-837, Chicago, Ill, USA, October 1998.
16. K. Miller, "Least squares methods for ill-posed problems with a prescribed bound," SIAM Journal on Mathematical Analysis, vol. 1, pp. 52-74, 1970.
17. G. L. Anderson and A. N. Netravali, "Image restoration based on a subjective criterion," IEEE Trans. Systems, Man, and Cybernetics, vol. 6, no. 12, pp. 845-853, 1976.
18. A. K. Katsaggelos, "A general formulation of adaptive iterative image restoration algorithms," in Proc. IEEE Conference on Information Sciences and Systems, pp. 42-47, Princeton, NJ, USA, March 1986.
19. A. K. Katsaggelos, J. Biemond, R. M. Mersereau, and R. W. Schafer, "Non-stationary iterative image restoration," in Proc. IEEE Int. Conf. Acoustics, Speech, Signal Processing, vol. 2, pp. 696-699, Tampa, Fla, USA, March 1985.
20. W.-J. Song and W. A. Pearlman, "Edge-preserving noise filtering based on adaptive windowing," IEEE Trans. Circuits and Systems, vol. 35, no. 8, pp. 1048-1055, 1988.
21. S. N. Efstratiadis and A. K. Katsaggelos, "Adaptive iterative image restoration with reduced computational load," Optical Engineering, vol. 29, no. 12, pp. 1458-1468, 1990.
22. A. K. Katsaggelos, J. Biemond, R. W. Schafer, and R. M. Mersereau, "A regularized iterative image restoration algorithm," IEEE Trans. Signal Processing, vol. 39, no. 4, pp. 914-929, 1991.
23. Y.-L. You, and M. Kaveh, "A regularization approach to joint blur identification and image restoration," IEEE Trans. Image Processing, vol. 5, no. 3, pp. 416-428, 1996.
24. A. K. Katsaggelos, "Iterative image restoration algorithms," Optical Engineering, vol. 28, no. 7, pp. 735-748, 1989.
25. R. W. Schafer, R. M. Mersereau, and M. A. Richards, "Constrained iterative restoration algorithms," Proceedings of the IEEE, vol. 69, no. 4, pp. 432-450, 1981.
26. H. C. Andrews and B. R. Hunt, Digital Image Restoration, Prentice-Hall, Englewood Cliffs, NJ, USA, 1977.
27. A. M. Tekalp, H. Kaufman, and J. W. Woods, "Identification of image and blur parameters for the restoration of noncausal blurs," IEEE Trans. Acoustics, Speech, and Signal Processing, vol. 34, no. 4, pp. 963-972, 1986.
28. T. F. Chan and C.-K. Wong, "Total variation blind deconvolution," IEEE Trans. Image Processing, vol. 7, no. 3, pp. 370-375, 1998.
29. R. L. Lagendijk, R. M. Mersereau, and J. Biemond, "On increasing the convergence rate of regularized iterative image restoration algorithms," in Proc. IEEE Int. Conf. Acoustics, Speech, Signal Processing, vol. 2, pp. 1183-1186, Dallas, Tex, USA, April 1987.
30. A. K. Katsaggelos and S. N. Efstratiadis, "A class of iterative signal restoration algorithms," IEEE Trans. Acoustics, Speech, and Signal Processing, vol. 38, no. 5, pp. 778-786, 1990.
31. R. Fletcher, Practical Methods of Optimisation, John Wiley & Sons, Chichester, West Sussex, UK, 2nd edition, 1987.