A modified moment-based image watermarking method robust to cropping attack Zong, Tianrui, Xiang, Yong, Elbadry, Suzan and Nahavandi, Saeid 2013, A modified moment-based image watermarking method robust to cropping attack, in ICIEA 2013 : Proceedings of the 8th IEEE Conference on Industrial Electronics and Applications, IEEE, Piscataway, N.J., pp. 881-885, doi: 10.1109/ICIEA.2013.6566491. Attached Files Name Description MIMEType Size Downloads Title A modified moment-based image watermarking method robust to cropping attack Author(s) Zong, Tianrui Xiang, Yong orcid.org/0000-0003-3545-7863 Elbadry, Suzan Nahavandi, Saeid Conference name IEEE Industrial Electronics and Applications. Conference (8th : 2013 : Melbourne, Victoria) Conference location Melbourne, Victoria Conference dates 19-21 Jun. 2013 Title of proceedings ICIEA 2013 : Proceedings of the 8th IEEE Conference on Industrial Electronics and Applications Editor(s) [Unknown] Publication date 2013 Conference series IEEE Conference on Industrial Electronics and Applications Start page 881 End page 885 Total pages 5 Publisher IEEE Place of publication Piscataway, N.J. Keyword(s) image watermarking cropping moment invariants probability density function Summary Developing a watermarking method that is robust to cropping attack is a challenging task in image watermarking. The moment-based watermarking schemes show good robustness to common signal processing attacks and some geometric attacks but are sensitive to cropping attack. In this paper, we modify the moment-based approach to deal with cropping attack. Firstly, we find the probability density function (pdf) of the pixel value distribution from the original image. Secondly, we reshape and normalize the pdf of the pixel value distribution (PPVD) to form a two dimensional image. Then, the moment invariants are calculated from the PPVD image. Since PPVD is insensitive to cropping, the proposed method is robust to cropping attack. Besides, it also has high robustness against other common attacks. Experimental results demonstrate the effectiveness of the proposed method. ISBN 1467363227 9781467363228 Language eng DOI 10.1109/ICIEA.2013.6566491 Field of Research 090609 Signal Processing Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences HERDC Research category E1 Full written paper - refereed Copyright notice ©2013, IEEE Persistent URL http://hdl.handle.net/10536/DRO/DU:30057162 Document type: Conference Paper Collections: School of Information Technology Centre for Intelligent Systems Research Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Wed, 23 Oct 2013, 10:02:19 EST Wed, 23 Oct 2013, 14:55:50 EST Thu, 31 Oct 2013, 10:22:54 EST Thu, 20 Feb 2014, 14:05:16 EST Fri, 21 Feb 2014, 07:33:08 EST Wed, 02 Jul 2014, 16:43:44 EST Mon, 11 Aug 2014, 08:28:27 EST Wed, 21 Oct 2015, 14:52:29 EST Wed, 21 Oct 2015, 18:23:19 EST Wed, 18 Nov 2015, 07:37:56 EST Filtered Full Citation counts:   Cited 1 times in TR Web of Science Cited 2 times in Scopus Search Google Scholar Access Statistics: 280 Abstract Views, 3 File Downloads  -  Detailed Statistics Created: Wed, 23 Oct 2013, 10:02:19 EST

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