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首页> 外文期刊>IEEE transactions on information forensics and security >PRNU-Based Camera Attribution From Multiple Seam-Carved Images
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PRNU-Based Camera Attribution From Multiple Seam-Carved Images

机译:来自多个接缝雕刻图像的基于PRNU的相机归因

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摘要

Photo response non-uniformity (PRNU) noise-based source attribution is a well-known technique to verify the camera of an image or video. Researchers have proposed various countermeasures to prevent PRNU-based source camera attribution. Forced seam-carving is one such recently proposed counter forensics technique. This technique can disable PRNUbased source camera attribution by forcefully removing seams such that the size of most uncarved image blocks is less than 50 × 50 pixels. In this paper, we show that given multiple seamcarved images from the same camera, source attribution can still be possible even if the size of uncarved blocks in the image is less than the recommended size of 50 × 50 pixels. Theoretical analysis and experiments with multiple cameras demonstrate that the effectiveness of our scheme depends on the number of seams carved from an image and the randomness of the seam positions.
机译:基于光响应非均匀性(PRNU)噪声的来源归因是一种用于验证摄像头图像或视频的公知技术。研究人员提出了各种对策,以防止基于PRNU的源摄像机归因。强制缝缝是最近提出的一种反取证技术。通过强制删除接缝,使大多数未雕刻的图像块的大小小于50×50像素,此技术可以禁用基于PRNU的源摄像机的属性。在本文中,我们表明,给定来自同一台摄像机的多个裁缝图像,即使图像中未裁切块的尺寸小于建议的50×50像素,仍然可以进行源归属。用多台摄像机进行的理论分析和实验表明,我们方案的有效性取决于从图像上雕刻出的接缝数量和接缝位置的随机性。

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