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Proceedings Paper

Detection for steganography based on Hilbert Huang Transform
Author(s): Suyan Wu; Wenbo Li; Yanqin Shi
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Paper Abstract

This paper will introduce the Hilbert-Huang Transform for Analysis of Universal blind steganalysis detection task. Firstly, This method use its efficient unsteady-state modeling ability to constucte features of steganography object and adopt independent variable analysis method to extract and refine feature. In the classification stage, by constructing the compound ANOVN kernel function of the Steganalysis field to improve data processing capabilities of nonlinear.

Paper Details

Date Published: 29 October 2011
PDF: 6 pages
Proc. SPIE 8205, 2011 International Conference on Photonics, 3D-Imaging, and Visualization, 820519 (29 October 2011); doi: 10.1117/12.906288
Show Author Affiliations
Suyan Wu, Beijing Municipal Institute of Science and Technology Information (China)
Wenbo Li, Institute of Software (China)
Yanqin Shi, Beijing Municipal Institute of Science and Technology Information (China)


Published in SPIE Proceedings Vol. 8205:
2011 International Conference on Photonics, 3D-Imaging, and Visualization
Egui Zhu, Editor(s)

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