Histogram shape-based robust image watermarking method

Zong,T, Xiang,Y and Natgunanathan,I 2014, Histogram shape-based robust image watermarking method, in IEEE ICC 2014 - Proceedings of the Communication and Information Systems Security Symposium, IEEE, Piscataway, N.J., pp. 878-883, doi: 10.1109/ICC.2014.6883430.

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Title Histogram shape-based robust image watermarking method
Author(s) Zong,TORCID iD for Zong,T orcid.org/0000-0002-9925-2261
Xiang,YORCID iD for Xiang,Y orcid.org/0000-0003-3545-7863
Natgunanathan,IORCID iD for Natgunanathan,I orcid.org/0000-0003-4215-000X
Conference name Communication and Information Systems Security. Symposium (2014 : Sydney, N.S.W.)
Conference location Sydney, NSW
Conference dates 10-14 Jun. 2014
Title of proceedings IEEE ICC 2014 - Proceedings of the Communication and Information Systems Security Symposium
Editor(s) [Unknown]
Publication date 2014
Conference series Communication and Information Systems Security Symposium
Start page 878
End page 883
Total pages 6
Publisher IEEE
Place of publication Piscataway, N.J.
Keyword(s) cropping
Image watermarking
random bending attacks
Summary Developing a watermarking method that is robust to cropping attack and random bending attacks (RBAs) is a challenging task in image watermarking. In this paper, we propose a histogram-based image watermarking method to tackle with both cropping attack and RBAs. In this method first the gray levels are divided into groups. Secondly the groups for watermark embedding are selected according to the number of pixels in them, which makes this method fully based on the histogram shape of the original image and adaptive to different images. Then the watermark bits are embedded by modifying the histogram of the selected groups. Since histogram shape is insensitive to cropping and independent from pixel positions, the proposed method is robust to cropping attack and RBAs. Besides, it also has high robustness against other common attacks. Experimental results demonstrate the effectiveness of the proposed method. © 2014 IEEE.
ISBN 9781479920037
Language eng
DOI 10.1109/ICC.2014.6883430
Field of Research 080106 Image Processing
Socio Economic Objective 861503 Scientific Instruments
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Grant ID DP110102076
Copyright notice ©2014, IEEE Computer Society
Persistent URL http://hdl.handle.net/10536/DRO/DU:30068061

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