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    Digital Watermarking of Images towards Content Protection.

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    Publication date
    2010-09-20T14:21:13Z
    Author
    Nasir, Ibrahim A.
    Supervisor
    Jiang, Jianmin
    Ipson, Stanley S.
    Keyword
    Digital media
    Digital images
    Image watermarking algorithms
    Digital content protection
    Digital rights management
    Copyright
    Rights
    Creative Commons License
    The University of Bradford theses are licenced under a Creative Commons Licence.
    Institution
    University of Bradford
    Department
    School of Computing, Informatics & Media
    Awarded
    2010
    
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    Abstract
    With the rapid growth of the internet and digital media techniques over the last decade, multimedia data such as images, video and audio can easily be copied, altered and distributed over the internet without any loss in quality. Therefore, protection of ownership of multimedia data has become a very significant and challenging issue. Three novel image watermarking algorithms have been designed and implemented for copyright protection. The first proposed algorithm is based on embedding multiple watermarks in the blue channel of colour images to achieve more robustness against attacks. The second proposed algorithm aims to achieve better trade-offs between imperceptibility and robustness requirements of a digital watermarking system. It embeds a watermark in adaptive manner via classification of DCT blocks with three levels: smooth, edges and texture, implemented in the DCT domain by analyzing the values of AC coefficients. The third algorithm aims to achieve robustness against geometric attacks, which can desynchronize the location of the watermark and hence cause incorrect watermark detection. It uses geometrically invariant feature points and image normalization to overcome the problem of synchronization errors caused by geometric attacks. Experimental results show that the proposed algorithms are robust and outperform related techniques found in literature.
    URI
    http://hdl.handle.net/10454/4432
    Type
    Thesis
    Qualification name
    PhD
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