Digital Image Watermarking using Singular Value Decomposition | ||
| AL-Rafidain Journal of Computer Sciences and Mathematics | ||
| Article 15, Volume 7, Issue 3, December 2010, Pages 187-200 PDF (425.83 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.33899/csmj.2010.163922 | ||
| Author | ||
| Sura Ramzi Sheriff | ||
| College of Engineering University of Mosul, Iraq | ||
| Abstract | ||
| This paper presents a digital image watermarking that applied theory of linear algebra called “Singular Value Decomposition (SVD)” to digital image watermarking .SVD watermarking scheme, which successfully embeds watermarks into images imperceptible way .SVD method can transform matrix A into product USV . Watermarking, is the process of embedding data into a multimedia cover , and can be used primarily for copyright protection and other purposes. Schemes that have recently been proposed modify the pixel values or Transform domain coefficients. The Singular Value Decomposition (SVD) is a practical numerical tool with applications in a number of signal processing fields including image compression. In an SVD-based watermarking scheme, the singular values of the cover image are modified to embed the watermark data. This method has been proposed an optimal SVD-based watermarking scheme that embeds the watermark in two steps. In the first step, the cover image is divided into smaller blocks and a piece of the watermark is embedded in each block. In the second step extracting the watermark from the watermarked image. All tests and experiments are carried out using MATLAB as computing environment and programming language. | ||
| Keywords | ||
| watermarking; Singular Value Decomposition; Digital watermarking; Image Processing | ||
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