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In order to improve the performance of digital watermarking system, a novel watermarking algorithm for blind watermarking based on the least significant bits and support vector machine. Firstly, digital watermarking was pretreated by binaryzation. Subsequently, the watermark signal is embedded into least significant bit of the low frequency coefficients by the Discrete Wavelet Transformation. Finally, the trained support vector machine is used to extract the attacking vetors. Simulation results show that the watermarking algorithm has good invisibility and robustness to general attacks and geometrical distortions. Introduction The improvement of new information technology necessitates the development of the multimedia data, such as images, music, e-books and video. At the same time, digital copyright disputes are gradually increasing. Therefore, copyright protection is becoming important. It is a technology that to embed some information into digital carrier, and not affected the value of the host carrier. Digital watermarking is an effective method of digital copyright protection and an important branch of information hiding technology. It is the first time that Kunder proposed the watermarking technology based on the Discrcte Wavelet Transform. Firstly, the host image is transformed by wavelet transform; secondly, the watermark of the special stator is embedded in the corresponding image subband; thirdly, the embedded image is obtained by taking inverse wavelet transform [1]. LSB is the main way of spatial method for image hiding. The principle of it is to make the image like what it not be hided with another image and to replace the least important bits of pixels in the image of the host image for hiding. As an arithmetic which can hide bulk information, LSB is still widely used in many field for it’s easily understand and operation [2]. Basing on these questions we raise a method base on DWT and LSB. For LSB, in order to promote, the efficiency of embedding, changing the last bit of the low frequency coefficients by the Discrete Wavelet Transformation, and it doesn’t influence the quality of itself. To dispose of hidden information which basing on digital watermarking technology has big problem. The times we scrambling is very important, too few the effect is not ideal and too many is much complex. There we put forward a new way to solve these problem. The algorithms, dealing with frames spatial representation, often realize LSB or PVD methods [3] in regard to raster representation of separate frames. A major shortcoming of such algorithms is weak sustainability of hidden data to further container compression. In [4], Zheng proposed a digital watermarking method based on SVD, which the optimization objective is the blind watermarking method. It is used the characteristics of matrix sparsity to avoid large computation that eigenvalues and eigenvectors in the singular value decomposition, but SVD is insensitive to geometrical deformation, so the method is worse to resist geometrical distortions. Some other ways of steganographic data hiding into video, providing enhanced robustness of hidden data, but dependent on used coding algorithms (MPEG-4), are steganographic concealment directly into the compressed data flow at the level of spectral coefficients, as well as embedding data using information of movement vectors [5]. In the paper, a novel combination of DWT-LSB and SVM method is proposed to resist the geometrical distortion. At

A Digital WATERMARKING Algorithm with High Efficiency Based on DWT and LSB