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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xiaoyuan Yang Shifeng Wang Jia Liu |
| Copyright Year | 2009 |
| Abstract | We propose a Wavelet based Markov Chain (WBMC) model for nature images, which can present statistic divergence between cover image and steg image prominently. Based on Markov chain empirical matrix, we discussed the difference between low frequency domain and high frequency domain generalized by steg process, and then defined two models: WBMC_L model and WBMC_H model respective to construct our WBMC model. This model relied most on the statistic relativity of coefficients. At last, many experiment results are given to support our theory. |
| Starting Page | 627 |
| Ending Page | 630 |
| File Size | 256841 |
| Page Count | 4 |
| File Format | |
| ISBN | 9780769537443 |
| DOI | 10.1109/IAS.2009.259 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-08-18 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wavelet coefficients Educational institutions Statistics Frequency domain analysis Information security Signal processing White noise Wavelet transforms Steganography Large-scale systems wavelet coefficients steganalysis Markov Chain |
| Content Type | Text |
| Resource Type | Article |
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