An Implementation of A System for Blind Multiple Watermarking for Color Video using Dct Embedding Techniques

Abstract

With the development of the computer and network technology, it is easy to produce, distribute, acquire, and copy digital media products such as digital text, image, video, and audio. Therefore, it is urgent to legally protect digital media copyright on behalf of the media owner and consumer. The Watermarking technique is an effective method to solve the problem. The schemes of embedding digital watermarks into the gray image have been researched and significantly developed. At the same time, the researches of embedding watermark into video are not sufficient enough. Because the video is dominant in practice, it is significant to research it in a more profound way. The main signal within which the watermark is embedded is referred to as the cover signal since it covers the watermark. The cover signal is usually a still image, audio clip, video sequence, or a text document in digital format. In this research study, the algorithm is based on a cascade of powerful logical transforms. In this paper, we propose a novel method ofblind multiple watermarking techniques for color video. To protect the video copyright authentication and help to validate the copyright ownership of multiple owners.  The cover video frames information is converted to Red, Green, and Blue components image in the first step. The green and blue component of the image is transformed in the wavelet domain Discrete Cosine Transform (DCT) for decomposition techniques.  A binary watermark of 64x64 pixelis embedded into the green and blue components of the cover image aretransformed block by modifying the some-middle bandssignificant with A.C. coefficients using the repetition code. We select sub-bands using repetition code and zigzag techniques. The watermark is modified by the scrambling use of Arnold transform. In the proposed paper, robustness and quality is tested with image parameter like Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE),and Normalized Correlation Coefficient (NCC). Further, the proposed paper have a comparison with related watermarking schemes.