Memetic Algorithm-Based Image Watermarking Scheme
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks
Digital Audio Watermarking for Copyright Protection Based on Multiwavelet Transform
EuroISI '08 Proceedings of the 1st European Conference on Intelligence and Security Informatics
An optimal robust digital image watermarking based on genetic algorithms in multiwavelet domain
WSEAS Transactions on Signal Processing
Robust image watermarking based on genetic algorithm in multiwavelet domain
AIKED'09 Proceedings of the 8th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases
A novel watermarking scheme based on PSO algorithm
LSMS'07 Proceedings of the Life system modeling and simulation 2007 international conference on Bio-Inspired computational intelligence and applications
Genetic algorithm optimization of multiwavelet-based audio watermarking
AEE'10 Proceedings of the 9th WSEAS international conference on Applications of electrical engineering
Robust audio watermarking using multiwavelet transform and genetic algorithm
WSEAS TRANSACTIONS on SYSTEMS
A genetic algorithm optimization technique for multiwavelet-based digital audio watermarking
EURASIP Journal on Advances in Signal Processing - Special issue on time-frequency analysis and its applications to multimedia signals
Robustness evaluation of multiwavelet-based image watermarking techniques
AEE'06 Proceedings of the 5th WSEAS international conference on Applications of electrical engineering
A new robust digital watermarking algorithm based on genetic algorithms and neural networks
ACS'11 Proceedings of the 11th WSEAS international conference on Applied computer science
Multifocus image fusion based on multiwavelet and immune clonal selection
ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part II
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For pt.I see IEEE Trans. Circuits Syst. II, vol.45, p.1106-12 (1998). Prefiltering a given discrete signal has been shown to be an essential and necessary step in applications using unbalanced multiwavelets. In this paper, we develop two methods to obtain optimal second-order approximation preserving prefilters for a given orthogonal multiwavelet basis. These procedures use the prefilter construction introduced in Hardin and Roach (1998). The first prefilter optimization scheme exploits the Taylor series expansion of the prefilter combined with the multiwavelet. The second one is achieved by minimizing the energy compaction ratio (ECR) of the wavelet coefficients for an experimentally determined average input spectrum. We use both methods to find prefilters for the cases of the DGHM and Chui-Lian (CL) multiwavelets. We then compare experimental results using these filters in an image compression scheme. Additionally, using the DGHM multiwavelet with the optimal prefilters from the first scheme, we find that quadratic input signals are annihilated by the high-pass portion of the filter bank at the first level of decomposition