Ying Yang
A steganalytic algorithm for 3D polygonal meshes
Yang, Ying; Pintus, Ruggero; Rushmeier, Holly; Ivrissimtzis, Ioannis
Authors
Ruggero Pintus
Holly Rushmeier
Dr Ioannis Ivrissimtzis ioannis.ivrissimtzis@durham.ac.uk
Associate Professor
Abstract
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.
Citation
Yang, Y., Pintus, R., Rushmeier, H., & Ivrissimtzis, I. (2014, October). A steganalytic algorithm for 3D polygonal meshes. Presented at 2014 IEEE International Conference on Image Processing (ICIP), Paris, France
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | 2014 IEEE International Conference on Image Processing (ICIP) |
Acceptance Date | May 30, 2014 |
Publication Date | Oct 1, 2014 |
Deposit Date | Apr 15, 2016 |
Publicly Available Date | Apr 19, 2016 |
Pages | 4782-4786 |
Series ISSN | 1522-4880 |
Book Title | ICIP 2014 : 2014 IEEE International Conference on Image Processing (ICIP). |
DOI | https://doi.org/10.1109/icip.2014.7025969 |
Public URL | https://durham-repository.worktribe.com/output/1150533 |
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© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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