Advanced image processing cellular neural networks

被引:12
|
作者
Itoh, Makoto [1 ]
Chua, Leon O.
机构
[1] Fukuoka Inst Technol, Dept Informat & Commun Engn, Fukuoka 8110295, Japan
[2] Univ Calif Berkeley, Dept Elect Engn & Comp Sci, Berkeley, CA 94720 USA
来源
关键词
CNN; cortical information processing; cognitive science; cognitive engineering; illusion image processing; painting-like image processing; multitasking image processing; illustration style transformation; texture generation;
D O I
10.1142/S0218127407017896
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Many useful and well-known image processing templates for cellular neural networks (CNN's) can be derived from neural field models, thereby providing a neural basis for the CNN paradigm. The potential ability of multitasking image processing is investigated by using these templates. Many visual illusions are simulated via CNN image processing. The ability of the CNN to mimic such high-level brain functions suggests possible applications of the CNN in cognitive engineering. Furthermore, two kinds of painting-like image processings, namely, texture generation and illustration style transformation are investigated.
引用
收藏
页码:1109 / 1150
页数:42
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