论文标题
Warwick图像法医数据集用于多媒体取证中的设备指纹识别
Warwick Image Forensics Dataset for Device Fingerprinting In Multimedia Forensics
论文作者
论文摘要
设备指纹（如传感器图案噪声（SPN））被广泛用于出处分析和图像身份验证。在过去的几年中，数字摄影的快速发展极大地重塑了消费级移动设备上图像捕获过程的管道。相机参数设置的灵活性以及多帧摄影算法的出现，尤其是高动态范围（HDR）成像，为设备指纹带来了新的挑战。随后对这些主题的研究需要有目的地构建的图像数据集。在本文中，我们介绍了Warwick Image Forensics数据集，该数据集是使用具有各种曝光设置的14个数码摄像机捕获的58,600多个图像的图像数据集。特别注意曝光设置，可以通过不同的多帧计算摄影算法和随后的设备指纹采用图像。该数据集作为开源产品发布，免费用于数字法医社区。
Device fingerprints like sensor pattern noise (SPN) are widely used for provenance analysis and image authentication. Over the past few years, the rapid advancement in digital photography has greatly reshaped the pipeline of image capturing process on consumer-level mobile devices. The flexibility of camera parameter settings and the emergence of multi-frame photography algorithms, especially high dynamic range (HDR) imaging, bring new challenges to device fingerprinting. The subsequent study on these topics requires a new purposefully built image dataset. In this paper, we present the Warwick Image Forensics Dataset, an image dataset of more than 58,600 images captured using 14 digital cameras with various exposure settings. Special attention to the exposure settings allows the images to be adopted by different multi-frame computational photography algorithms and for subsequent device fingerprinting. The dataset is released as an open-source, free for use for the digital forensic community.
