A neural network model for image compression

Wojciech Sygnowski

doi:10.1117/12.2299097

1 September 1996 A neural network model for image compression

Wojciech Sygnowski

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.

Citation Download Citation

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); https://doi.org/10.1117/12.2299097

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available