Proceedings of the 2012 International Symposium on Nonlinear Theory and its Applications
2012
Session Number:C3L-B
Session:
Number:707
Image Compression and Regeneration based on Different Type of Neurons of Cellular Neural Network
Aya Takahashi, Shintaro Maezawa, Daiki Goto, Masatoshi Sato, Hisashi Aomori, Mamoru Tanaka,
pp.707-710
Publication Date:
Online ISSN:2188-5079
[1] L.O. Chua and L. Yang, “Cellular Neural Networks: Theory”, IEEE Trans. Circuits Syst., vol.35, no.10, pp.1257-1272, Oct. 1988.
[2] H. Harrer and J. A. Nossek, “Discrete-time cellular neur-al networks”, Int. J. Circuits Theory Applicat., vol.20, pp.453-467, 1994.
[3] JACEK FLAK, DENSE IMPLEMENTATIONS OF BINARY CELLULAR NONLINEAR NEURAL NETWORKS; FROM CMOS TO NANOTECHNOLOGY, TKK Dissertation 79 Espoo 2007, 2007.
[4] M.Tanaka, and K.Kenya, “Conversion of Resolution and Intensity using Cellular Neural Networks”, Research report of Grant-in-Aid for Scientific Research (KAKENHI)., 49, pp. 1-22, Oct 2010.
[5] S. Maezawa, H. Aomori and M. Tanaka, ”Image Processings of a Leaky Integrated-and-Fire Neuron by Cellular Neural Network”, NLP, vol. 111, no. 106, pp. 113-118, 2011.
[6] H. Aomori, T. Otake, N. Takahashi and M. Tanaka, ”A Spatial Domain Sigma-Delta Modulation via Discrete-Time Cellular Neural Network”, Neural Networks, vol. 21, pp.349-357, 2008.