Blind Synthesis Attack on SVD Based Watermarking Techniques

Singular value decomposition (SVD) is robust and reliable orthogonal matrix decomposition. Due to its conceptual and stability properties, it is becoming more and more popular in signal processing area especially in watermarking. Many watermarking and data hiding researches has struck the use of singular values in casting hidden information into the hosted image. This paper introduces a counterfeiting attack for the existed SVD based watermarking techniques that embed the watermark information into the singular values of the hosted image. This paper emphasizes the weakness of this class of techniques due to the vulnerability of singular values to a wide class of image processing operations as well as intentional attacks.