Adaptive regularization in image restoration by unsupervised learning

Journal of Electronic Imaging

Volumn 7, Issue 1, 1998, Pages 211-221

  Wong, Hau San ^a   Guan, Ling ^a  

^a UNIVERSITY OF SYDNEY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0346964400     PISSN: 10179909     EISSN: 1560229X     Source Type: Journal    
DOI: 10.1117/1.482639     Document Type: Article

References (15)

1. B. R. Hunt, "Application of constrained least squares estimation to image restoration by digital computers," IEEE Trans. Comput. 22, 805-812 (1973).
2. M. G. Kang and A. K. Katsaggelos, "Simultaneous iterative image restoration and evaluation of the regularization parameter," IEEE Trans. Signal Process. 40, 2329-2334 (1992).
3. M. Kang and A. Katsaggelos, "General choice of the regularization functional in regularized image restoration," IEEE Trans. Image Process. 4(5), 594-602 (1995).
4. N. P. Galatsanos and A. K. Katsaggelos, "Methods for choosing the regularization parameter and estimating the noise variance in image restoration and their relation," IEEE Trans. Image Process. 1(3), 322-336 (1992).
5. A. Katsaggelos and M. G. Kang, "Iterative evaluation of the regularization parameter in regularized image restoration," J. Visual Comm. Image Rep. 3, 446-455 (1992).
6. A. M. Thompson, J. C. Brown, J. W. Kay, and D. M. Titterington, "A study of methods of choosing the smoothing parameters in image restoration by regularization," IEEE Trans. Patt. Anal. Mach. Intell. 13, 326-339 (1991).
7. S. Perry and L. Guan, "Image restoration using a neural network with an adaptive constraint factor," in Proc. IEEE CESA'96 IMACS Multiconf., pp. 854-859 (1996).
8. J. Hopfield and D. Tank, "Neural computation of decisions in optimization problems," Biol. Cybern. 52, 141-152 (1985).
9. Y. T. Zhou, R. Chellappa, A. Vaid, and B. K. Jenkins, "Image restoration using a neural network," IEEE Trans. Acoust. Speech Signal Process. 36(7), 1141-1151 (1988).
10. J. K. Paik and A. K. Katsaggelos, "Image restoration using a modified Hopfield network," IEEE Trans. Image Process. 1, 49-63 (1992).
11. L. Guan, "Model-based neural evaluation and iterative gradient optimization in image restoration and statistical filtering," J. Elect. Imag. 4(4), 407-412 (1995).
12. R. Lagendijk and J. Biemond. Iterative Identification and Restoration of Images, Kluwer Academic Publishers, Boston (1991).
13. H. Andrews and B. Hunt, Digital Image Restoration, Prentice Hall, Englewood Cliffs, NJ (1977).
14. R. C. Gonzalez and P. Wintz, Digital Image Processing, Addison-Wesley, Reading, MA (1987).
15. L. Guan, "Image restoration by a neural network with hierarchical cluster architecture," J. Elect. Imag. 3(2), 154-163 (1994).