Hiding Traces of Resampling in Digital Images
| Type of publication: | Article |
| Citation: | kirchner-bohme-tifs-08 |
| Journal: | IEEE Transactions on Information Forensics and Security |
| Volume: | 3 |
| Number: | 4 |
| Year: | 2008 |
| Pages: | 582-592 |
| Abstract: | Resampling detection has become a standard tool for forensic analyses of digital images. This paper presents new variants of image transformation operations which are unde- tectable by resampling detectors based on periodic variations in the residual signal of local linear predictors in the spatial domain. The effectiveness of the proposed method is supported with ev- idence from experiments on a large image database for various parameter settings. We benchmark detectability as well as the resulting image quality against conventional linear and bicubic interpolation and interpolation with a sinc kernel. These early findings on ``counter-forensic'' techniques put into question the reliability of known forensic tools against smart counterfeiters in general, and might serve as benchmarks and motivation for the development of much improved forensic techniques. |
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| Added by: | [ADM] |
| Total mark: | 0 |
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