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In this paper, Human Visual System (HVS) characteristics are modeled using a Genetic Algorithm (GA) based technique for the determination of weights in a BPN (GA/BPN) for the purpose of image watermarking. The GA based BP network is trained by 27 inference rules comprising of three input HVS features namely luminance sensitivity, edge sensitivity computed using threshold and contrast sensitivity computed...
In this paper, Human Visual System (HVS) characteristics are modeled using a Fuzzy Inference System (FIS) for robust image watermarking. The fuzzy input variables corresponding to luminance sensitivity, edge sensitivity computed using threshold and contrast sensitivity computed using variance are fed to a FIS driven by ten Fuzzy inference rules. The FIS produces a single output weighting factor which...
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