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Digital Forgery Detection Scheme Incorporating Imaging Device Characteristics Using Wiener Filter

机译:使用维纳滤波器结合成像设备特性的数字伪造检测方案

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摘要

Advent of digital cameras and photo editing software allows digital images easily manipulated and altered. Although accurate forgeries may leave no visual clues of having been tampered with, they may, nevertheless, alter the underlying statistics of an image. As previous research works, we analyzed digital camera image processing schemes, and identified what kind of imaging device characteristics can be unique and how to identify them. To exploit the imaging device characteristics, we perform Wiener filter to extract the unique feature of imaging device. After we identified the device characteristics, we perform EM based forensic scheme for the domain. We design an overlapped Wiener filter based forgery detection scheme for each image blocks to test evidence of forgery in a specific image. Our experimental results show that our forgery detection performance achieved more robustness on JPEG compression (quality factor set to 98).
机译:数码相机和照片编辑软件的出现使数字图像易于操作和更改。尽管准确的伪造品可能不会留下任何被篡改的视觉线索,但是它们可能会改变图像的基本统计信息。在先前的研究工作中,我们分析了数码相机的图像处理方案,并确定了哪种成像设备特性可以是独特的以及如何识别它们。为了利用成像设备的特性,我们执行维纳滤波以提取成像设备的独特功能。确定设备特征后,我们将对该域执行基于EM的取证方案。我们为每个图像块设计了一个基于重叠维纳滤波器的伪造检测方案,以测试特定图像中的伪造证据。我们的实验结果表明,我们的伪造检测性能在JPEG压缩(质量因子设置为98)上获得了更高的鲁棒性。

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