A novel image filtering approach for sensor fingerprint estimation in source camera identification
A novel image filtering approach for sensor fingerprint estimation in source camera identification
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DOI：
10.1109/avss.2015.7301808
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发表时间：
2015-10
期刊：
影响因子：
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通讯作者：
M. Al-Ani;F. Khelifi;Ashref Lawgaly;A. Bouridane
中科院分区：
文献类型：
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作者：
M. Al-Ani;F. Khelifi;Ashref Lawgaly;A. Bouridane
光响应非均匀性（PRNU）噪声已被公认为成像传感器的可靠指纹，用于源相机识别和其他法医应用。在本文中，我们介绍了一种新的PRNU噪声提取方法，该方法大大优于现有的技术。基本原理是在空间域滤波中使用一个相邻像素来抑制估计（假定为白色）PRNU噪声中的像素对像素的相关性。基于10台不同型号、不同品牌的相机图像数据库，给出了实验结果。这些结果体现在源相机识别的接收机工作特性（ROC）中。
Photo-response non-uniformity (PRNU) noise has been well established as a reliable fingerprint of imaging sensors for source camera identification and other forensic applications. In this paper, we introduce a novel denoising method for PRNU noise extraction that considerably outperforms the existing techniques. The rationale is to use as little as one adjacent pixel in spatial domain filtering to suppress the pixel-to-pixel correlation in the estimation of the (supposedly white) PRNU noise. Experimental results are presented based on an image database of ten cameras of different models and makes. These results are embodied in the receiver operating characteristic (ROC) of source camera identification.