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Durham University

Research & business

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Publication details for Dr Ioannis Ivrissimtzis

Yang, Ying, Pintus, Ruggero, Rushmeier, Holly & Ivrissimtzis, Ioannis (2014), A steganalytic algorithm for 3D polygonal meshes, 2014 IEEE International Conference on Image Processing (ICIP). Paris, France, IEEE, Piscataway, 4782-4786.

Author(s) from Durham


We propose a steganalytic algorithm for watermarks embedded by Cho et al.'s mean-based algorithm [1]. The main observation is that while in a clean model the means of Cho et al.'s normalized histogram bins are expected to follow a Gaussian distribution, in a marked model their distribution will be bimodal. The proposed algorithm estimates the number of bins through an exhaustive search and then the presence of a watermark is decided by a tailor made normality test. We also propose a modification of Cho et al.'s algorithm which is more resistant to the steganalytic attack and offers an improved robustness/capacity trade-off.