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Multimedia security has been the aim point of considerable research activity because of its wide application area. The major technology to achieve copyright protection, content authentication, access control and multimedia security is watermarking which is the process of embedding data into a multimedia element such as image or audio, this embedded data can later be extracted from, or detected in the embedded element for different purposes. In this work, a blind watermarking algorithm based on SVD and circulant matrices has been presented. Every circulant matrix is associated with a matrix for which the SVD decomposition coincides with the spectral decomposition. This leads to improve the Chandra algorithm [1], our presentation will include a discussion on the data hiding capacity, watermark transparency and robustness against a wide range of common image processing attacks. KEYWORDSDigital image watermarking, Singular value Decomposition, circulant matrix, ownership protection. 4 1 ,.., ) and by following the steps mentioned above we embed the watermark into the original image. EXPERIMENTAL RESULTSThe proposed scheme is implemented using MATLAB. Six 512×512 images Lena , Goldhill, Baboon, Barbara, Peppers, Boat were used in the simulation (figure 2). The signature is a 512 × 512 image composed with N blocks in its diagonal.

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