Image watermarking algorithm based on the code division multiple access technique

Authors:
Fan Zhang;Guosheng Yang;Xianxing Liu;Xinhong Zhang
Affiliations:
Institute of Advanced Control and Intelligent Information Processing, Henan University, Kaifeng, P.R. China;Institute of Advanced Control and Intelligent Information Processing, Henan University, Kaifeng, P.R. China;Institute of Advanced Control and Intelligent Information Processing, Henan University, Kaifeng, P.R. China;Department of Computer Center, Henan University, Kaifeng, P.R. China
Venue:
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
Year:
2006

Citing 8
Cited 0

Watermarking of uncompressed and compressed video

Signal Processing
Rotation, scale and translation invariant spread spectrum digital image watermarking

Signal Processing
A multiple watermarking algorithm based on CDMA technique

Proceedings of the 12th annual ACM international conference on Multimedia
Visibility of wavelet quantization noise

IEEE Transactions on Image Processing
Secure spread spectrum watermarking for multimedia

IEEE Transactions on Image Processing
Hidden digital watermarks in images

IEEE Transactions on Image Processing
Multipurpose watermarking for image authentication and protection

IEEE Transactions on Image Processing
Novel blind multiple watermarking technique for images

IEEE Transactions on Circuits and Systems for Video Technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

A multiple watermarking algorithm based on the Code Division Multiple Access (CDMA) spread spectrum technique is presented. Multiple copyright identifiers are convolutional encoded and block interleaved, and the orthogonal Gold sequences are used to spread spectrum of the copyright messages. The CDMA encoded copyright messages are embedded into the wavelet sub-bands. As a blind watermarking algorithm, the copyright identifiers are extracted without the original image. The experimental results show that the proposed algorithm improves the detection BER, and the multiple copyright identifiers have preferable robustness and invisibility.