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

Author

Tanaka, Mamoru ; Ikegami, Munemitsu ; Imaizumi, Masaaki ; Shingu, Toshiaki ; Inoue, Hiroshi

Author_Institution

Dept. of Electr. Eng., Sophia Univ., Tokyo, Japan

fYear

1996

Firstpage

333

Lastpage

338

Abstract

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

Keywords

cellular neural nets; data compression; ferroelectric displays; image coding; liquid crystal displays; minimisation; optical noise; Canon ferroelectric liquid crystal display; Lyapunov-energy function; blue; commercial display device; discrete time cellular neural network; false-outlines; flicker; green; high quality digital images; least-square distortion; minimization; motion detection; moving images; optimal templates design; overload edge noise; red; reduction methods; still images; white; Cellular neural networks; Digital images; Electronic mail; Image edge detection; Laboratories; Liquid crystal displays; Noise reduction; Nonlinear distortion; Production engineering; Quantization;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

Seville

Print_ISBN

0-7803-3261-X

Type

conf

DOI

10.1109/CNNA.1996.566595

Filename

566595