A network of networks processing model for image regularization

IEEE Transactions on Neural Networks

Volumn 8, Issue 1, 1997, Pages 169-174

  Guan, Ling ^a   Anderson, James A ^b   Sutton, Jeffrey P ^c  

^a UNIVERSITY OF SYDNEY   (Australia)

^b BROWN UNIVERSITY   (United States)

^c HARVARD UNIVERSITY   (United States)

Author keywords

Adaptive control parameters; Image and pattern analysis; Image regularization; Learning; Network of networks

Indexed keywords

IMAGE REGULARIZATION; NETWORK OF NETWORKS (NON) MODEL;

ADAPTIVE CONTROL SYSTEMS; IMAGE ANALYSIS; IMAGE QUALITY; LEARNING SYSTEMS; MATHEMATICAL MODELS; PARALLEL PROCESSING SYSTEMS; PARAMETER ESTIMATION; PATTERN RECOGNITION;

NEURAL NETWORKS;

EID: 0030784317     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/72.554202     Document Type: Article

References (16)

1. H. C. Andrews and B. R. Hunt, Digital Image Restoration. Englewood Cliffs, NJ: Prentice-Hall, 1977.
2. W. K. Pratt, Digital Signal Processing, 2nd ed. New York: Wiley, 1991.
3. A. Katsaggelos, J. Biemond, R. Schafer, and R. Mersereau, "A regularized iterative image restoration algorithm," IEEE Trans. Signal Processing, vol. 39, pp. 914-929, 1991.
4. J. Besag, "On the statistical analysis of dirty pictures," J. Roy. Statist. Soc. B, vol. 8, pp. 259-302, 1986.
5. J. J. Hopfield and D. W. Tank, "Neural computation of decisions in optimization problems," Biol. Cybern., vol. 52, pp. 141-152, 1985.
6. Y.-T. Zhou, R. Chellappa, A. Vaid, and B. K. Jenkins, "Image restoration using a neural network," IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-36, pp. 1141-1151, 1988.
7. J. K. Paik and A. K. Katsaggelos, "Image restoration using a modified Hopfield network," IEEE Trans. Image Processing, vol. 1, pp. 49-63, 1992.
8. J. P. Sutton, J. S. Beis, and L. E. H. Trainor, "A hierarchical model of neocortical synaptic organization," Math. Comput. Modeling, vol. 11, pp. 346-350, 1988.
9. L. Guan, "Image restoration by a neural network with hierarchical cluster architecture," J. Electron. Imaging, vol. 3, pp. 154-163, 1994.
10. S. Y. Kung and Y. H. Yu, "A highly concurrent algorithm and pipelined architecture for solving Toeplitz systems," IEEE Trans. Acoust., Speech, Signal Processing, vol. ASSP-31, no. 1, pp. 66-76, 1983.
11. J. A. Anderson, M. T. Gately, P. A. Penz, and D. R. Collins, "Radar signal categorization using a neural network," Proc. IEEE, vol. 78, pp. 1646-1657. 1990.
12. 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.
13. J. Szentagothai, "The neuron network of the cerebral cortex," in Proc. Roy. Soc. London B., vol. 201, 1977, pp. 219-248.
14. J. P. Sutton, J. B. Caplan, and P. A. Bandettini, "fMRI evidence of nested networks associated with motor tasks," Human Brain Mapping, vol. 3, p. S370, 1996.
15. L. Guan, "Model-based neural evaluation and iterative gradient optimization in image restoration and statistical filtering," J. Electron. Imaging, vol. 4, pp. 407-412, 1994.
16. W. G. Macready, A. G. Siapas, and S. A. Kauffman, "Criticality and parallelism in combinatorial optimization," Sci., vol. 271, pp. 56-59, 1996.