Biometrics and Bioinformatics

R. Anitha ¹, D. Kannan ¹

Affiliations
1 Department of Computer Science and Applications, SNMV College of Arts Science, IN

Abstract

Digital watermarking is a fast growing technique of protecting digital multimedia data (audio, image and video) against illegal attack. The watermark is intended to be permanently embedded into the digital data so that authorized users can easily access it. At the same time, the watermark should not degrade the quality of the digital data. In this paper, a new audio watermarking scheme is presented using Singular Value Decomposition (SVD), Discrete Wavelet Transform (DWT) and Dither-modulation quantization (DM). The benefits of using quantization and singular values (SVs) in watermarking technique is the DM method is uncomplicated, has very low complexity, and attains good rate-distortion-robustness trade-offs. Dither-modulation is one of the most excellent processes for carrying out blind watermarking, because of its simplicity and excellent rate-distortion-robustness tradeoffs. In this work, a new audio watermarking algorithm based on SVD, DWT and dither-modulation quantization is proposed. The watermark is inserted with the help of dither-modulation quantization of the singular values of the blocks of the host audio signal. The watermark can be obtained without the knowledge of the original audio signal. Experiments were carried out to test the imperceptibility using Mean Opinion Score (MOS) grade and the PSNR Evaluation is done. The PSNR value proves that the proposed technique has very high PSNR value and it has very low PSNR noise value.

Keywords

Singular Value Decomposition (SVD), Discrete Wavelet Transform (DWT), Dither-Modulation Quantization (DM).

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P. Shobana ¹, D. Kannan ¹

Affiliations
1 Department of Computer Science and Applications, SNMV College of Arts Science, IN

Abstract

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.

Keywords

Digital Image Watermarking, Discrete Wavelets Transform (DWT), Singular Value Decomposition (SVD), Zero Watermark Algorithm.

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