B.Jagadeesh, D.Praveen Kumar
Copyright protection of digital content is of great importance in present day scenario as manipulation of digital data is very simple.This can be offered by watermarking techniques. Many proposed watermarking of digital images throughout the years, in this paper a novel digital image watermarking algorithm is proposed based on artificial neural networks. As neural networks are good at pattern recognition, they can be used as a medium to store the frequency domain components of the image and these can be used at the extraction of watermark. The input to the network is given from the HVS model. Care should be taken such that the host image is not distorted, this information can be given by HVS model. The proposed model gives a better PSNR value and it is robust to many image processing attacks like compression, resizing, filtering etc.
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