Signal watermarking in bi-dimensional representations using matrix factorizations

Abstract

In the last few years, watermarking has become a powerful tool for data hiding and copyright protection. This paper presents a new noise-robust scheme for signal watermark embedding and extraction, applicable on the broad scientific field of information security, including speech and audio secure transmission. The proposed method employs bi-dimensional signal representations and the fractional Fourier transformation for watermark embedding and detection. An important feature of the current work is the introduction of matrix factorization and decomposition on these representations. The current scheme was also performed and evaluated for the case of an image. The efficiency and robustness of the procedure is proven experimentally.