ISCAS OpenIR
detection for steganography based on hilbert huang transform
Wu Suyan; Li Wenbo; Shi Yanqin
2011
Conference Name2011 International Conference on Photonics, 3D-Imaging, and Visualization
SourceProceedings of SPIE - The International Society for Optical Engineering
Pages-
Conference DateOctober 30
Conference PlaceGuangzhou, China
Indexed TypeEI
ISSN0277-786X
ISBN9780819488473
Department(1) Beijing Municioal Institute of Science and Technology Information Beijing China; (2) Institute of Software Chinese Academy of Sciences Beijing China
English AbstractThis 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. © 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).; 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. © 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).
KeywordData Handling Photonics Steganography Three Dimensional Visualization
SponsorshipSouth China Normal University; International Computer Science Society; National Natural Science Foundation of China
Language英语
Content Type会议论文
URIhttp://ir.iscas.ac.cn/handle/311060/16230
Collection中国科学院软件研究所
Recommended Citation
GB/T 7714
Wu Suyan,Li Wenbo,Shi Yanqin. detection for steganography based on hilbert huang transform[C],2011:-.
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