Title :
Reversible watermarking technique using small-world cellular neural network
Author :
Tsuruta, Kazuya ; Nishio, Yoshifumi
Author_Institution :
Dai Nippon Printing Co., Ltd., Ibaraki, Japan
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;
Conference_Titel :
Circuit Theory and Design, 2005. Proceedings of the 2005 European Conference on
Print_ISBN :
0-7803-9066-0
DOI :
10.1109/ECCTD.2005.1523084
