Applications of cellular neural networks to noise cancelation in gray images based on adaptive particle-swarm optimization

Circuits, Systems, and Signal Processing

Volumn 30, Issue 6, 2011, Pages 1131-1148

  Su, Te Jen ^a,b   Cheng, Jui Chuang ^b   Huang, Ming Yuan ^b   Lin, Tzu Hsiang ^b   Chen, Cheng Wu ^b  

^a KUN SHAN UNIVERSITY   (Taiwan)

^b NATIONAL KAOHSIUNG UNIVERSITY OF APPLIED SCIENCES   (Taiwan)

Author keywords

Adaptive particle swarm optimization; Cellular neural network; Gray image noise cancelation; Templates

Indexed keywords

CONVERGENCE SPEED; DISCRETE-TIME CELLULAR NEURAL NETWORKS; GRAY IMAGE; INERTIA WEIGHT; LOCAL SEARCHING; NOVEL METHODS; REMOVE NOISE; RESEARCH RESULTS; TEMPLATES;

OPTIMIZATION; WIRELESS NETWORKS;

CELLULAR NEURAL NETWORKS;

EID: 80054938004     PISSN: 0278081X     EISSN: 15315878     Source Type: Journal    
DOI: 10.1007/s00034-011-9269-x     Document Type: Article

References (14)

1. L.O. Chua T. Roska 1993 The CNN paradigm IEEE Trans. Circuits Syst. I, Fundam. Theory Appl. 40 3 147 156 0800.92041 10.1109/81.222795 1232568
2. L.O. Chua, T. Roska, Cellular Neural Networks and Visual Computing-Foundation and Applications (Cambridge University Press, Cambridge, 2002)
3. L.O. Chua L. Yang 1988 Cellular neural networks: theory IEEE Trans. Circuits Syst. 35 10 1257 1272 0663.94022 10.1109/31.7600 960777
4. L.O. Chua L. Yang 1988 Cellular neural networks: applications IEEE Trans. Circuits Syst. 35 10 1273 1290 10.1109/31.7601 960778
5. R.C. Eberhart, J. Kennedy, A new optimizer using particle swarm theory, in Proceedings of the Sixth International Symposium on Micromachine and Human Science, Nagoya, Japan (1995), pp. 39-43
6. H. Harrer J.A. Nossek 1992 Discrete-time cellular neural networks Int. J. Circuit Theory Appl. 20 5 453 467 0775.92006 10.1002/cta.4490200503 (Pubitemid 23607971)
7. F. Heppner, U. Grenander, A stochastic nonlinear model for coordinated bird flocks, in The Ubiquity of Chaos, ed. by S. Krasner (AAAS, Washington, 1990), pp. 233-238
8. J. Kenndy, R.C. Eberhart, Particle swarm optimization, in Proceedings of IEEE International Conference on Neural Networks, Perth, Australia (1995), pp. 1942-1948
9. R.P. Matei, Image processing using hysteretic cellular neural networks, in Proceedings of the 2000 IEEE International Symposium on Circuits and Systems, vol. 4 (2000), pp. 129-132
10. Y. Shi, R. Eberhart, A modified particle optimizer, in Proceedings of the 1998 IEEE World Congress on Computational Intelligence (1998), pp. 69-73
11. Y. Shi, R. Eberhart, Parameter selection in particle swarm optimization, in Proceedings of the 7th International Conference on Evolutionary Programming VII. Lecture Notes in Computer Science, vol. 1447 (1998), pp. 591-600 (Pubitemid 128118969)
12. T.J. Su C.P. Wei S.C. Huang C.L. Hou 2008 Image noise cancellation using linear matrix inequality and cellular neural network Opt. Commun. 281 23 5706 5712 10.1016/j.optcom.2008.08.025
13. D.X. Zhang, Z. Hong Guan, X.Z. Liu, An adaptive particle swarm optimization algorithm and simulation, in Proceedings of the IEEE International Conference on Automation and Logistics (2007), pp. 2399-2402
14. M. Zhang, C. J Li, X.H. Yuan, Y.C. Zhang, An improved PSO and its application in research on reservoir operation function of long-term, in Third International Conference on Natural Computation, vol. 4 (2007), pp. 118-122