Modified moment-based image watermarking method robust to cropping attack Zong, Tian-Rui, Xiang, Yong, Elbadry, Suzan and Nahavandi, Saeid 2016, Modified moment-based image watermarking method robust to cropping attack, International journal of automation and computing, vol. 13, no. 3, pp. 259-267, doi: 10.1007/s11633-015-0926-6. Attached Files Name Description MIMEType Size Downloads Title Modified moment-based image watermarking method robust to cropping attack Author(s) Zong, Tian-Rui orcid.org/0000-0002-9925-2261 Xiang, Yong orcid.org/0000-0003-3545-7863 Elbadry, Suzan Nahavandi, Saeid orcid.org/0000-0002-0360-5270 Journal name International journal of automation and computing Volume number 13 Issue number 3 Start page 259 End page 267 Total pages 9 Publisher Institute of Automation, Chinese Academy of Sciences Place of publication Beijing, China Publication date 2016-06 ISSN 1476-8186 1751-8520 Keyword(s) image watermarking cropping moment invariants probability density function (PDF) of the pixel value distribution (PPVD) robust 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. Theoretical analysis and experimental results demonstrate the effectiveness of the proposed method. Language eng DOI 10.1007/s11633-015-0926-6 Field of Research 080106 Image Processing Socio Economic Objective 890402 Film and Video Services (excl. Animation and Computer Generated Imagery) HERDC Research category C1 Refereed article in a scholarly journal ERA Research output type C Journal article Copyright notice ©2016, Institute of Automation, Chinese Academy of Sciences and Springer Persistent URL http://hdl.handle.net/10536/DRO/DU:30084876 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Institute for Intelligent Systems Research and Innovation (IISRI) GTP Research Related Links Link Description Connect to published version 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, 13 Jul 2016, 11:46:28 EST Thu, 14 Jul 2016, 05:00:24 EST Thu, 14 Jul 2016, 08:43:42 EST Sat, 30 Jul 2016, 06:11:01 EST Mon, 21 Nov 2016, 13:06:12 EST Mon, 21 Nov 2016, 13:11:18 EST Wed, 26 Jul 2017, 10:50:44 EST Filtered Full Citation counts:   Cited 2 times in TR Web of Science Cited 4 times in Scopus Search Google Scholar Access Statistics: 450 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Wed, 13 Jul 2016, 11:46:28 EST

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