A Unified Approach towards Multimedia Watermarking

A Unified Approach towards Multimedia Watermarking

Ali Al-Haj (Princess Sumaya University for Technology, Jordan), Ahmad Mohammad (Princess Sumaya University for Technology, Jordan), Samir Abou El-Seoud (Princess Sumaya University for Technology, Jordan), Tuqa Manasrah (The University of Jordan, Jordan), Lama Rajab (The University of Jordan, Jordan) and Tahani Al-Khatib (The University of Jordan, Jordan)
DOI: 10.4018/978-1-4666-2136-7.ch018
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Abstract

The tremendous advancement of digital technology has increased the ease with which digital multimedia signals (image, video, audio) are stored, transmitted, and reproduced. Consequently, the content providers and owners are faced with problems of protection against copyright violation and other forms of abuse to their digital property. Digital watermarking has been proposed in the last decade as a solution to prevent illegal and malicious copying and distribution of digital media by embedding an unnoticeable information into the media content. This chapter describes three imperceptible and robust watermarking algorithms for different types of multimedia objects (image, video, audio). The three algorithms are based on cascading two powerful mathematical transforms; the Discrete Wavelet Transform (DWT), and the Singular Value Decomposition (SVD). The two transforms are different, and thus provide complementary levels of robustness against the same attack. In the proposed dual-transform algorithms, the watermark bits are not embedded directly on the wavelet coefficients, but rather on the elements of singular values of the DWT sub-bands of the multimedia object. Effectiveness of the proposed algorithms is demonstrated through extensive experimentation.
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The Dwt And Svd Transforms

The Discrete Wavelet Transform (DWT), and the Singular Value Decomposition (SVD), are different transforms, and thus provide different levels of performance for different applications. We argue that better multimedia watermarking performance could be obtained by combining benefits of the two transforms. In this section, we briefly describe the two transforms and outline their relevance to multimedia watermarking. Next sections describe our proposed watermarking methods for image, video, and audio based on different formulations of the two transforms.

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