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  • Robust signature-based copyright protection scheme using the most significant gray-scale bits of the image

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    Author(s)
    Awrangjeb, M
    Griffith University Author(s)
    Awrangjeb, Mohammad
    Year published
    2012
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    Abstract
    The most significant bit- (MSB-) plane of an image is least likely to change by the most signal processing operations. This paper presents a novel multibit logo-based signature, using the most significant gray-scale bits, which is then used to develop an extremely simple but robust copyright protection scheme, where images along with their signatures are sent to a trusted third party when a dispute arises. Different ways of processing the MSB-plane before calculating the robust signature have been developed. This paper then presents an innovative classifier-based technique to test the robustness and uniqueness of any ...
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    The most significant bit- (MSB-) plane of an image is least likely to change by the most signal processing operations. This paper presents a novel multibit logo-based signature, using the most significant gray-scale bits, which is then used to develop an extremely simple but robust copyright protection scheme, where images along with their signatures are sent to a trusted third party when a dispute arises. Different ways of processing the MSB-plane before calculating the robust signature have been developed. This paper then presents an innovative classifier-based technique to test the robustness and uniqueness of any signature-based scheme. A new MSB-based attack, which would defeat our scheme most, has also been proposed. Experimental results have clearly demonstrated the superiority of the proposed scheme showing the high robustness of different MSB-based signatures over the existing signature-based schemes.
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    Journal Title
    Advances in Multimedia
    Volume
    2012
    DOI
    https://doi.org/10.1155/2012/875759
    Copyright Statement
    © 2012 Mohammad Awrangjeb. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
    Subject
    Computer vision
    Image processing
    Publication URI
    http://hdl.handle.net/10072/172530
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    • Journal articles

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