DocumentCode
1591714
Title
Nonlinear templates for high quality halftoning images by DTCNNs
Author
Miyata, Junichi ; Ikegami, Munemitsu ; Jin´no, Kenya ; Tanaka, Mamoru
Author_Institution
Dept. of Electr. Eng., Sophia Univ., Tokyo, Japan
fYear
1996
Firstpage
201
Lastpage
206
Abstract
This paper describes templates design for high quality halftoning images by discrete time cellular neural networks (DTCNNs). Dynamic templates A and B are proposed for removal of overload edge noise and for good gradation processing respectively
Keywords
cellular neural nets; discrete time systems; image processing; discrete time cellular neural networks; gradation processing; high quality halftoning images; nonlinear templates; overload edge noise; Cellular neural networks; Convergence; Digital filters; Electronic mail; Filtering theory; Gaussian distribution; Gray-scale; Nonlinear distortion; Pipeline processing; 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.1996.566551
Filename
566551
Link To Document