An Efficient Digital Rights Management Technique Based on Singular Value Decomposition

Vast amount of Information is available through the global networks which are extensively used for cross-references between databases. There is a global need to transfer audio, image and video data in electronic form to customers for better compatibility and simplicity. There are the problems of theft and distribution of intellectual property which is a great concern in the field of network security. Thus a novel technique is very essential for preserving security and authentication of digital data. Digital image watermarking techniques have been proposed to prevent unauthorized distribution of multimedia data. A digital watermark encodes the owner's license information and embeds it into the image. Several Discrete Wavelets Transform (DWT) based techniques are used for watermarking. In order to improve the performance of the approach, this research introduces a novel water marking algorithm which uses Complex Wavelet Transform and Singular Value Decomposition. Then the SVD based image uses zero watermark algorithms which produce the zero watermark sequence. It essentially doesn’t embed any watermark in the original image, thus the watermarked image is the same as its original counterpart. Experimental results show that it has good robustness against various attacks. Moreover, its computation is so low that it is easy to be applied into the practice of digital rights management.