Video watermarking with steganography using neural networks

In any communication security is the most important issue in today's world. Lots of data security and data hiding algorithms have been developed in the last decade, which worked as motivation for our research. In this paper we combine watermarking techniques and steganography together to increase the security and to make these techniques robust we combine it with neural networking. This paper is the combination of steganography with watermarking, which provides a strong backbone for its security. The proposed system not only hides large volume of data within an image, bt also limits the perceivable distortion that might occur in an image while processing it. The scheme proposed in this paper is robust against attacks of frame dropping, frame averaging, noise addition and statistical analysis. The experimental results shown with neural network provides maximum watermark embed strength and also verify the effectiveness and imperceptibility.