A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
A novel approach to digital watermarking, exploiting colour spaces
Signal Processing
Securing high resolution grayscale facial captures using a blockwise coevolutionary GA
Expert Systems with Applications: An International Journal
Rapid blockwise multi-resolution clustering of facial images for intelligent watermarking
Machine Vision and Applications
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We propose an evolutionary algorithm for the enhancement of digital semi-fragile watermaking based on the manipulation of the image discrete cosine transform (DCT). The algorithm searches for the optimal localization of the DCT of an image to place the mark image DCT coefficients. The problem is stated as a multi-objective optimization problem (MOP), that involves the simultaneous minimization of distortion and robustness criteria.