Hiding Traces of Resampling in Digital Images
Hiding Traces of Resampling in Digital Images
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DOI：
10.1109/tifs.2008.2008214
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发表时间：
2008-12
影响因子：
6.8
通讯作者：
Matthias Kirchner;Rainer Böhme
中科院分区：
文献类型：
--
作者：
Matthias Kirchner;Rainer Böhme
重采样检测已成为数字图像法医分析的标准工具。本文提出了基于局部线性预测器残差信号在空间域中的周期变化而不能被重采样检测器检测到的图像变换操作的新变体。在大型图像数据库上进行的各种参数设置实验证明了该方法的有效性。我们对可检测性以及生成的图像质量进行基准测试，以对比传统的线性和双三次插值以及带有sinc核的插值。这些关于ldquo反取证技术的早期发现，对已知取证工具对付一般聪明造假者的可靠性提出了质疑，并可能成为开发大大改进的取证技术的基准和动力。
Resampling detection has become a standard tool for forensic analyses of digital images. This paper presents new variants of image transformation operations which are undetectable 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 evidence 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 ldquocounter-forensicrdquo 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.