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 :
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