1 September 1996 A neural network model for image compression
Author Affiliations +
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, "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
PROCEEDINGS
2 PAGES


SHARE
Back to Top