VQ-based watermarking scheme with genetic codebook partition

Authors:
Feng-Hsing Wang;Lakhmi C. Jain;Jeng-Shyang Pan
Affiliations:
University of South Australia, Knowledge-Based Intelligent Engineering System Centre, School of Electrical and Information Engineering, Australia;University of South Australia, Knowledge-Based Intelligent Engineering System Centre, School of Electrical and Information Engineering, Australia;National Kuohsiung University of Applied Sciences, Department of Electronics Engineering, Kaohsiung, Taiwan, R.O.C.
Venue:
Journal of Network and Computer Applications - Special issue: Network and information security: A computational intelligence approach
Year:
2007

Citing 4
Cited 2

Vector quantization and signal compression

Vector quantization and signal compression
Genetic Algorithms in Search, Optimization and Machine Learning

Genetic Algorithms in Search, Optimization and Machine Learning
Watermarking Systems Engineering (Signal Processing and Communications, 21)

Watermarking Systems Engineering (Signal Processing and Communications, 21)
Digital Image Watermarking: An Overview

ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2

Grouping strategies for promoting image quality of watermarking on the basis of vector quantization

Journal of Visual Communication and Image Representation
Time-frequency-based speech regions characterization and eigenvalue decomposition applied to speech watermarking

EURASIP Journal on Advances in Signal Processing - Special issue on time-frequency analysis and its applications to multimedia signals

Quantified Score

Hi-index	0.00

Visualization

Abstract

To enhance the traditional vector quantisation (VQ) system by adding the watermarking ability, a digital image watermarking scheme, which modifies the VQ indices to carry watermark bits, is presented. This scheme partitions the main codebook into two sub-codebooks by referring to the user-key. Then, for each input vector of the cover image, a sub-codebook is selected according to the watermark bit to be embedding. The traditional VQ coding procedure is then done using the sub-codebook for the vector. Furthermore, to improve the performance of the scheme, a genetic codebook partition (GCP) procedure, which employs the genetic algorithm (GA) to find a better way to split the codebook, is proposed. It is demonstrated that the proposed methods provide faster encoding time, better imperceptibility, stronger robustness under some common attacks, and easier implementation than some related VQ-based watermarking schemes proposed in the literature.