JPEG steganalysis based on Tri-training semi-supervised learning
A JPEG steganalytic method based on semi-supervised learning algorithm was presented.Using three catego-ries of statistical features for JPEG images and multiple hyperspheres one-class SVM,three classifiers were generated from the original labeled example set.These classifiers were then refined usin...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2008-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/74654466/ |
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| Summary: | A JPEG steganalytic method based on semi-supervised learning algorithm was presented.Using three catego-ries of statistical features for JPEG images and multiple hyperspheres one-class SVM,three classifiers were generated from the original labeled example set.These classifiers were then refined using unlabeled examples in the Tri-training process,which could effectively improve detecting ability by exploiting a large amount of unlabeled images.Experimen-tal results showed the effectiveness of our proposed method. |
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| ISSN: | 1000-436X |