Genetic programming: an introduction: on the automatic evolution of computer programs and its applications
Watermarking algorithm based on a human visual model
Signal Processing
Digital watermarking
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Optimal transform domain watermark embedding via linear programming
Signal Processing - Special section on information theoretic aspects of digital watermarking
Linear-Graph GP - A New GP Structure
EuroGP '02 Proceedings of the 5th European Conference on Genetic Programming
A Stochastic Approach to Content Adaptive Digital Image Watermarking
IH '99 Proceedings of the Third International Workshop on Information Hiding
DCT-based watermark recovering without resorting to the uncorrupted original image
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
Dynamic maximum tree depth: a simple technique for avoiding bloat in tree-based GP
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
Hidden messages in heavy-tails: DCT-domain watermark detection using alpha-stable models
IEEE Transactions on Multimedia
Image-adaptive watermarking using visual models
IEEE Journal on Selected Areas in Communications
IEEE Transactions on Image Processing
A vision-based masking model for spread-spectrum image watermarking
IEEE Transactions on Image Processing
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
Applying informed coding and embedding to design a robust high-capacity watermark
IEEE Transactions on Image Processing
| Hi-index | 0.00 |
In this paper, we present a method for developing a Genetic Perceptual Model (GPM) applicable to a watermarking system. The proposed technique exploits the characteristics of human visual system using a Genetic Programming (GP) approach. We employ a tradeoff between watermark robustness and imperceptibility, as an optimization criterion in the GP search. The resultant GPM is a combination of frequency, luminance sensitivity and contrast masking, enabling us to shape the watermark according to the cover image. Our investigations have shown that the evolved GPM provides maximum allowable imperceptible alterations to the Discrete Cosine Transform coefficients of a cover image. Comparative studies in terms of watermark imperceptibility and bit correct ratio performance have been carried out. The performance of the GPM has been analyzed for various watermarking schemes.