A Novel Image Filtering Approach for Sensor Fingerprint Estimation in Source Camera Identification

被引：0
|
作者：
Al-Ani, Mustafa [1 ]
Khelifi, Fouad [1 ]
Lawgaly, Ashref [1 ]
Bouridane, Ahmed [1 ]
机构：
[1] Northumbria Univ, Fac Engn & Environm, Newcastle Upon Tyne, Tyne & Wear, England
来源：
2015 12TH IEEE INTERNATIONAL CONFERENCE ON ADVANCED VIDEO AND SIGNAL BASED SURVEILLANCE (AVSS) | 2015年
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D O I：
暂无
中图分类号：
TB8 [摄影技术];
学科分类号：
0804 ;
摘要：
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.
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页数：5
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