A Generation of Meaningfully Secured Images for Copyright- and Privacy-Protected Image Trading Systems Using Singular Component Interchange
Pages 72 - 77
Abstract
This paper proposes a generation of meaningfully secured images using singular component interchange for copyright- and privacy-protected image trading systems. In the conventional systems, the visually encrypted images are suspicious, because they are not meaningful. Therefore, it can lead the trusted third parties (TTPs) to attack the images. On contrary, in the proposed method, singular values of a commercial image are interchanged with those of a dummy image so that the TTP recognizes the dummy image instead. Experimental results show that the proposed method is superior to the conventional methods in terms of visual protection, image quality, and fingerprinting performance.
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Index Terms
- A Generation of Meaningfully Secured Images for Copyright- and Privacy-Protected Image Trading Systems Using Singular Component Interchange
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Published In
August 2017
223 pages
ISBN:9781450352956
DOI:10.1145/3133264
Copyright © 2017 ACM.
© 2017 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.
In-Cooperation
- Sultan Qaboos University: Sultan Qaboos University
- USM: Universiti Sains Malaysia
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 25 August 2017
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ICAIP 2017
ICAIP 2017: 2017 International Conference on Advances in Image Processing
August 25 - 27, 2017
Bangkok, Thailand
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