Application of evolutionary programming to adaptive regularization in image restoration

IEEE Transactions on Evolutionary Computation

Volumn 4, Issue 4, 2000, Pages 309-326

  Wong, Hau San ^a,b   Guan, Ling ^a,c,d  

^a UNIVERSITY OF SYDNEY   (Australia)

^b UNIVERSITY OF SYDNEY   (Australia)

^c Signal and Multimedia Processing Laboratory   (Australia)

^d IEEE   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

EVOLUTIONARY PROGRAMMING;

COMPUTER SOFTWARE; IMAGE ANALYSIS; IMAGE RECONSTRUCTION; OPTICAL FILTERS; OPTIMIZATION; PROGRAMMING THEORY; SPURIOUS SIGNAL NOISE;

COMPUTER PROGRAMMING;

EID: 0034314871     PISSN: 1089778X     EISSN: None     Source Type: Journal    
DOI: 10.1109/4235.887232     Document Type: Article

References (23)

1. H. Andrews and B. Hunt, Digital Image Restoration. Englewood Cliffs, NJ: Prentice-Hall, 1977.
2. R. Lagendijk and J. Biemond, Iterative Identification and Restoration of Images. Boston, MA: Kluwer Academic, 1991.
3. A. K. Katsaggelos, Ed., Digital Image Restoration. Berlin, Germany: Springer-Verlag, 1991.
4. M. Bertero, T. Poggio, and V. Torre, "Ill-posed problems in early vision," Proc. IEEE, vol. 76, no. 8, pp. 869-889, 1988.
5. S. Osher and L. I. Rudin, "Feature-oriented image enhancement using shock filters," SIAM J. Numer. Anal., vol. 27, no. 4, pp. 919-940, 1990.
6. P. Perona and J. Malik, "Scale-space and edge detection using anisotropic diffusion," IEEE Trans. Pattern Anal. Machine Intell., vol. 12, no. 7, pp. 629-639, 1990.
7. A. Tekalp, H. Kaufman, and J. Woods, "Edge-adaptive Kalman filtering for image restoration with ringing suppression," IEEE Trans. Acoust., Speech, Signal Processing, vol. 37, no. 6, pp. 892-899, 1989.
8. W. Qian and L. P. Clarke, "Wavelet-based neural network with fuzzylogic adaptivity for nuclear image restoration," Proc. IEEE, vol. 84, no. 10, pp. 1458-1473, 1996.
9. S. Perry and L. Guan, "Weight assignment of neural networks in adaptive image restoration," IEEE Trans. Neural Networks, to be published.
10. A. K. Katsaggelos and M. G. Kang, "Spatially adaptive iterative algorithm for the restoration of astronomical images," Int. J. Imaging Syst. Technol., vol. 6, no. 4, pp. 305-313, 1995.
11. D. B. Fogel, Evolutionary Computation: Toward a New Philosophy of Machine Intelligence. Piscataway, NJ: IEEE Press, 1995.
12. L. J. Fogel, A. J. Owens, and M. J. Walsh, Artificial Intelligence Through Simulated Evolution. New York: Wiley, 1966.
13. T. Bäck, Evolutionary Algorithms in Theory and Practice. New York: Oxford Univ. Press, 1996.
14. T. Bäck and H.-P. Schwefel, "Evolutionary computation: An overview," in Proc. 3rd IEEE Conf. Evol. Comput.. Piscataway, NJ: IEEE Press, 1996, pp. 20-29.
15. T. Bäck, U. Hammel, and H.-P. Schwefel, "Evolutionary computation: Comments on the history and current state," IEEE Trans. Evol. Comput., vol. 1, no. 1, pp. 3-17, 1997.
16. T. Bäck, D. B. Fogel, and Z. Michalewicz, Eds., Handbook of Evolutionary Computation. New York: Oxford Univ. Press and Inst. Phys., 1997.
17. J. H. Holland, Adaptation in Natural and Artificial Systems. Ann Arbor, MI: Univ. Michigan Press, 1975.
18. D. E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning. Reading, MA: Addison-Wesley, 1989.
19. M. Mitchell, An Introduction to Genetic Algorithms. Cambridge, MA: M.I.T. Press, 1996.
20. H.-P. Schwefel, Numerical Optimization of Computer Models, Chichester: Wiley, 1981.
21. _, Evolution and Optimum Seeking. New York: Wiley, 1995.
22. B. R. Hunt, "The application of constrained least squares estimation to image restoration by digital computers," IEEE Trans. Comput., vol. C-22, no. 9, pp. 805-812, 1973.
23. N. Baba, "Convergence of random optimization methods for constrained optimization methods," J. Optimiz. Theory Appl., vol. 33, no. 4, pp. 451-461, 1981.