DocumentCode :
2560731
Title :
Embedding of multiple functions into a single cellular neural network: an image filtering prospective
Author :
Lin, Chien-Nan ; Yu, Sung-Nien ; Chuang, Wei-Ching
Author_Institution :
Dept. of Electr. Eng., National Chung Cheng Univ., Taiwan
fYear :
2005
fDate :
28-30 May 2005
Firstpage :
166
Lastpage :
169
Abstract :
In this paper, we propose a method that can embed multiple functions into a single cellular neural network (CNN). Three typical image processing functions using CNN are demonstrated to be embedded with preprocessors. The results show that this method can use only one CNN to implement multiple functions and thus the circuit can be simplified and the efficiency be improved.
Keywords :
cellular neural nets; filtering theory; image processing; cellular neural network; image filtering; image processing function; Adaptive filters; Application software; Cellular neural networks; Data preprocessing; Filtering; Image processing; Low pass filters; Materials science and technology; Noise cancellation; Wiener filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cellular Neural Networks and Their Applications, 2005 9th International Workshop on
Print_ISBN :
0-7803-9185-3
Type :
conf
DOI :
10.1109/CNNA.2005.1543187
Filename :
1543187
Link To Document :
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