A partitioned modified Hopfield neural network algorithm for real-time image restoration

Real-Time Imaging

Volumn 2, Issue 4, 1996, Pages 215-224

  Perry, Stuart W ^a   Guan, Ling ^a  

^a UNIVERSITY OF SYDNEY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

FOUR RESTORATION PHASES; IMAGE FORMATION PROPERTIES; IMAGE PARTITIONING SCHEME; MODIFIED HOPFIELD NEURAL NETWORK; REAL TIME IMAGE PROCESSING;

ALGORITHMS; COMPUTER SIMULATION; IMAGE PROCESSING; IMAGE RECONSTRUCTION; PARALLEL PROCESSING SYSTEMS; REAL TIME SYSTEMS; SYNCHRONIZATION;

NEURAL NETWORKS;

EID: 0030215190     PISSN: 10072014     EISSN: None     Source Type: Journal    
DOI: 10.1006/rtim.1996.0022     Document Type: Article

References (8)

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2. Andrews, H. C. & Hunt, B. R. (1977) Digital Image Restoration, Englewood Cliffs, New Jersey: Prentice-Hall.
3. Guan, L. (1994) A neural network with hierarchical cluster architecture in image restoration, J. Elec. Imaging, 3(2): 154-163.
4. Guan, L. (1993) A unified neural framework for early visual information processing, Proc. IEEE Int. Conf. Syst., Man., Cybernet, vol. 2, pp. 237-332, Le Touquet, France, 17-20 October, 1993.
5. Sutton, J. P. & Breiter, H. C. (1994) Neural scale invariance: An integrative model with implications for neuropathology, World Congress on Neural Networks, vol. 4, pp.I; 667-672.
6. Anderson, J. A. (1993) The BSB model: A simple non-linear autoassociative network, Associative Neural Memory: Theory and Implementation, M. Hassoun ed., Oxford University Press.
7. Zhou, Y. T., Chellappa, R., Vaid, A. & Jenkins, B. K. Image restoration using a neural network. IEEE Trans. on ASSP, vol. ASSP-36, 1141-1151, Jul. 1988.
8. Paik, J. K. & Katsaggelos, A. K. (1992) Image restoration using a modified Hopfield network, IEEE Trans. on Image Process., 7: 49-63.