JPEG2000-Based Data Hiding and its Application to 3D Visualization
Singular Value Decomposition (SVD) has been used as a valuable transform technique for robust digital watermarking. This arises from the fact that, changing singular values (SV) of an image slightly does not affect the image quality much. In some SVD based methods, SVs of the watermark are embedded into SVs of the cover image. Then in detection, the watermark is constructed by using original singular vectors. If the singular vectors of another image rather than the original watermark are used, that image is constructed as the embedded watermark, causing the false positive probability to be one. In this paper, we propose a technique against this ambiguity by embedding the singular vectors of the watermark image as a control parameter. We discuss the performance of the proposed method against some attacks.