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Image orientation based watermarking technique in copyright protection


Citation

Jasim, Hend Muslim and Muda, Zaiton and Abdullah @ Selimun, Mohd Taufik (2017) Image orientation based watermarking technique in copyright protection. Journal of Theoretical and Applied Information Technology, 95 (3). 629 - 644. ISSN 1992-8645; ESSN: 1817-3195

Abstract

As a means of copyright protection, the use of watermarking has still not reached a significant level of reliability in applications to resolve infringement claims in the courts. This is because of two main obstacles. The first raises the need to consider original image quality as the main evidence over any other clues whereas the second denotes the lack of an adequate common measure that prove the superiority of one technique over another and then prevent improvement on efficiency and quality of algorithms. In seeking to address this problem, this research proposes a new image orientation watermarking technique based on the possession of the highest quality of the original image as the main evidence in copyright disputes and proposes a generic measure capable of scoring the performance of the different proposals. This design benefits Principal Component Analysis and Blind Noise Level Estimation to resemble a set of image transitions over resizing operations in response to owner signature. To deduce copyright, watermarked image besides its original coordinates are incorporated in copyright issues with the aid of two formulated parameters; Protection Requirement (PR) and Distance Decision (D) that are to serve as a protection requirement measure and a resolving parameter respectively. The design along its obtained results shows convincing validity results that are further explicated using ANOVA and linearity testing.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Computer Science and Information Technology
Publisher: Asian Research Publication Network
Keywords: Digital right management techniques; Image copyright protection; Watermarking principal component analysis; ANOVA
Depositing User: Nurul Ainie Mokhtar
Date Deposited: 25 Mar 2019 02:35
Last Modified: 25 Mar 2019 02:35
URI: http://psasir.upm.edu.my/id/eprint/62083
Statistic Details: View Download Statistic

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