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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 9, 2016.
Abstract: The increased utilization of internet in sharing and dissemination of digital data makes it is very difficult to maintain copyright and ownership of data. Digital watermarking offers a method for authentication and copyright protection. Digital image watermarking is an important technique for the multimedia content authentication and copyright protection. This paper present a watermarking algorithm making a balance between imperceptibility and robustness based on fractional calculus and also a domain has constructed using fractional Sinc function (FSc). The FSc model the signal as polynomial for watermark embedding. Watermark is embedded in all the coefficients of the image. Cross correlation method based on Neyman-Pearson is used for watermark detection. Moreover fraction rotation expression has constructed to achieve rotation. Experimental results confirmed the proposed technique has good robustness and outperformed another technique in imperceptibility. Furthermore the proposed method enables blind watermark detection where the original image is not required during the watermark detection and thus making it more practical than non-blind watermarking techniques.
Almas Abbasi and Chaw Seng Woo, “Robust Image Watermarking using Fractional Sinc Transformation” International Journal of Advanced Computer Science and Applications(IJACSA), 7(9), 2016. http://dx.doi.org/10.14569/IJACSA.2016.070926
@article{Abbasi2016,
title = {Robust Image Watermarking using Fractional Sinc Transformation},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.070926},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070926},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {9},
author = {Almas Abbasi and Chaw Seng Woo}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.