1 September 1996 A neural network model for image compression
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Proceedings Volume 2778, 17th Congress of the International Commission for Optics: Optics for Science and New Technology; 27785Y (1996) https://doi.org/10.1117/12.2299097
Event: 17th Congress of the International Commission for Optics: Optics for Science and New Technology, 1996, Taejon, Korea, Republic of
Abstract
In this paper a new method for image compression - the modified counter-propagation neural network algorithm which is a combination of the self-organizing map of Kohonen and the outstar structure of Grossberg is proposed.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wojciech Sygnowski, Wojciech Sygnowski, } "A neural network model for image compression", Proc. SPIE 2778, 17th Congress of the International Commission for Optics: Optics for Science and New Technology, 27785Y (1 September 1996); doi: 10.1117/12.2299097; https://doi.org/10.1117/12.2299097
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