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Novel video camera authentication based on peak to correlation energy of clustered sensor pattern noise

机译：基于峰值与集群传感器图案噪声相关能量的新型摄像机认证

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摘要

Now a days the technology of digital media is growing very rapidly. As the cost of digital imaging devices falls and the functionalities of these devices increase, digital imaging become increasingly cheaper in our every-day life. Also powerful easy-to-use digital image processing tools provide effective means for manipulating images that can serve good and malicious purposes. As a result, the use of digital images in forensic investigations becomes more frequent and important. Typical image forensics includes digital camera identification. In recent years, a digital camera identification method using the sensor pattern noise has received considerable attention. Photo-response non uniformity (PRNU) noise is due to varying sensitivity of pixels to light and it is unique to device, serves as the fingerprint of a camera. However, the PRNU noise of an image is usually contaminated by random noise and scene content and affected by the image processing engine, which inhibits stable identification in earlier researches. In this paper, we propose a novel digital camera identification method based on combined decision of pair wise relation of clustered PRNU and clustered Peak to correlation energy, which are robust to noise contamination and decreases false acceptance rate.
机译：现在，天数字媒体的技术发展非常迅速。随着数字成像设备的成本下降，这些设备的功能增加，数字成像成为我们每一天的生活越来越便宜。同时强大的易于使用的数字图像处理工具提供了操作，可以起到很好的和恶意的目的图像的有效手段。其结果是，在法庭调查中使用的数字图像变得更加频繁和重要。典型的图像取证包括数码相机识别。近年来，使用传感器图案噪声的数码相机识别方法已经获得相当大的关注。光响应非均匀性（PRNU）噪声是由于变化像素的灵敏度光并将其是唯一的设备，用作照相机的指纹。然而，噪声的图像的PRNU通常是由随机噪声和场景内容污染和受到图像处理引擎，其抑制在早期研究稳定鉴定。在本文中，我们提出了一种新颖的数字照相机的识别方法基于群集PRNU的成对关系的组合决定，并聚集峰相关能量，其是鲁棒的噪声污染和减少误接受率。

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