Author(s): VIJAYA KUMARI V. and CHITRA B.
Journal: International Journal of Machine Intelligence
ISSN 0975-2927
Volume: 3;
Issue: 4;
Start page: 359;
Date: 2011;
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Keywords: image processing | data authentication | decomposition | watermarking | compression | scaling | cropping
ABSTRACT
Data authentication and data security are the primary requirement in present day communication system. In image processing, data authentication is implemented using watermarking technique. Recently several watermarking techniques have been proposed. The drawback of these techniques is less robustness, less fidelity and degradation in image quality. Watermarking applications are used in copyright protection, broadcast monitoring, usage control, and this work is implemented for copyright protection using singular value decomposition (SVD) technique. In this technique, the singular values of watermark image are embedded into singular values of host image to get watermarked image. Singular value decomposition (SVD based watermarking techniques is implemented for gray scale and color image of different sizes and the comparative analysis is made based on the results produced when the image is subjected to different types of attacks.
Journal: International Journal of Machine Intelligence
ISSN 0975-2927
Volume: 3;
Issue: 4;
Start page: 359;
Date: 2011;
VIEW PDF
DOWNLOAD PDF Original pageKeywords: image processing | data authentication | decomposition | watermarking | compression | scaling | cropping
ABSTRACT
Data authentication and data security are the primary requirement in present day communication system. In image processing, data authentication is implemented using watermarking technique. Recently several watermarking techniques have been proposed. The drawback of these techniques is less robustness, less fidelity and degradation in image quality. Watermarking applications are used in copyright protection, broadcast monitoring, usage control, and this work is implemented for copyright protection using singular value decomposition (SVD) technique. In this technique, the singular values of watermark image are embedded into singular values of host image to get watermarked image. Singular value decomposition (SVD based watermarking techniques is implemented for gray scale and color image of different sizes and the comparative analysis is made based on the results produced when the image is subjected to different types of attacks.