Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Fractal functions and wavelet expansions based on several scaling functions
Journal of Approximation Theory
A Multipurpose Image Watermarking Method Based on Adaptive Quantization of Wavelet Coefficients
IMSCCS '06 Proceedings of the First International Multi-Symposiums on Computer and Computational Sciences - Volume 1 (IMSCCS'06) - Volume 01
An Optimal Wavelet-Based Image Watermarking via Genetic Algorithm
ICNC '07 Proceedings of the Third International Conference on Natural Computation - Volume 03
Blind watermark algorithm based on HVS and RBF neural network in DWT domain
WSEAS Transactions on Computers
Enhancement of image watermark retrieval based on genetic algorithms
Journal of Visual Communication and Image Representation
A new approach for optimization in image watermarking by using genetic algorithms
IEEE Transactions on Signal Processing
Digital image watermarking using balanced multiwavelets
IEEE Transactions on Signal Processing
IEEE Transactions on Information Theory
Multiwavelet prefilters. II. Optimal orthogonal prefilters
IEEE Transactions on Image Processing
Wavelet tree quantization for copyright protection watermarking
IEEE Transactions on Image Processing
A robust watermarking technique for copyright protection using discrete wavelet transform
WSEAS Transactions on Computers
Robust audio watermarking using multiwavelet transform and genetic algorithm
WSEAS TRANSACTIONS on SYSTEMS
Theory of the simple genetic algorithm with α-selection, uniform crossover and bitwise mutation
WSEAS TRANSACTIONS on SYSTEMS
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In this paper, we propose digital image watermarking algorithm in the multiwavelet transform domain. The embedding technique is based on the quantization index modulation technique and this technique does not require the original image in the watermark extraction. We have developed an optimization technique using the genetic algorithms to search for optimal quantization steps to improve the quality of watermarked image and robustness of the watermark. In addition, we analyze the performance of the proposed algorithm in terms of peak signal to noise ratio and normalized correlation. The experimental results show that our proposed method can improve the quality of the watermarked image and give more robustness of the watermark as compared to previous works.