DocumentCode
2260404
Title
Reversible watermarking technique using small-world cellular neural network
Author
Tsuruta, Kazuya ; Nishio, Yoshifumi
Author_Institution
Dai Nippon Printing Co., Ltd., Ibaraki, Japan
Volume
3
fYear
2005
fDate
28 Aug.-2 Sept. 2005
Abstract
Recently, the authors have proposed small-world cellular neural network (SWCNN), which is constructed by introducing some random couplings between cells of the original Chua-Yang CNN and we have reported some basic results using the concept of SWCNN. In this paper, we propose an image watermarking technique that the connection topology of SWCNN plays the role of "key" and investigate its features.
Keywords
cellular neural nets; watermarking; Chua-Yang CNN; connection topology; random couplings; reversible watermarking technique; small-world cellular neural network; Biological system modeling; Biomedical signal processing; Cellular neural networks; Circuit topology; Electronic mail; Image processing; Network topology; Neural networks; Pattern recognition; Watermarking;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuit Theory and Design, 2005. Proceedings of the 2005 European Conference on
Print_ISBN
0-7803-9066-0
Type
conf
DOI
10.1109/ECCTD.2005.1523084
Filename
1523084
Link To Document