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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Dan Zhu Zhiping Zhou |
| Copyright Year | 2014 |
| Description | Author affiliation: Sch. of Internet of Things Eng., Jiangnan Univ., Wuxi, China (Dan Zhu; Zhiping Zhou) |
| Abstract | JPEG compression and resampling operations appear frequently when image is tampered, hence the traces of JPEG compression and resampling are used to detect images. As JPEG compression and resampling operations affect the linear correlation between coefficients, so the traces of JPEG compression and the linear correlation are introduced when images are resampled and saved in JPEG format. Hence, the moment of DCT coefficient histogram are taken as the factor of JPEG compression, and due to the singular value decomposition can measure linear correlation between pixels well so that the mean value and variance of the singular values are extracted. At last, two types of features are extracted and trained by SVM. Experimental results show that proposed method has a good detection rate for resampling compression images, especially for rotation operation and the scale factor which greater than 1. |
| Sponsorship | IEEE Comput. Soc. |
| Starting Page | 914 |
| Ending Page | 918 |
| File Size | 370219 |
| Page Count | 5 |
| File Format | |
| e-ISBN | 9781479930708 |
| DOI | 10.1109/CSNT.2014.188 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-04-07 |
| Publisher Place | India |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Q-factor Histograms Image coding Quantization (signal) Resampling detection Transform coding JPEG compression Feature extraction Support vector machine Discrete cosine transforms Image forgery Singular value decomposition |
| Content Type | Text |
| Resource Type | Article |
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