By Topic

Templates design for high quality digital images by discrete time cellular neural network

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Tanaka, M. ; Dept. of Electr. Eng., Sophia Univ., Tokyo, Japan ; Ikegami, M. ; Imaizumi, M. ; Shingu, T.
more authors

This paper describes reduction methods for false-outlines, overload edge noise and flicker based on optimal templates design including motion detection by multi-level discrete time cellular neural networks (DTCNN). The templates are designed by the minimization of Lyapunov-energy function to minimize the least-square distortion for digital still and moving images. High quality of the digital images was demonstrated by using a Canon ferroelectric liquid crystal display (FLCD) which is the first commercial display device with bilevel for red, green, blue or white

Published in:

Cellular Neural Networks and their Applications, 1996. CNNA-96. Proceedings., 1996 Fourth IEEE International Workshop on

Date of Conference:

24-26 Jun 1996