Source Camera Identification Using Large Components of Sensor Pattern Noise
作者： Yongjian Hu , Binghua Yu , Chao Jian
关键词: Image sensor 、 Noise measurement 、 Computer vision 、 Image noise 、 Colors of noise 、 Artificial intelligence 、 Computer science 、 Fingerprint recognition 、 Digital image 、 Noise (signal processing) 、 Dark-frame subtraction
摘要: Digital image forensics has attracted a lot of attention recently for its role in identifying the origin digital image. Although different forensic approaches have been proposed, one most popular is to rely on imaging sensor pattern noise, where each noise uniquely corresponds an device and serves as intrinsic fingerprint. The correlation-based detection heavily dependent upon accuracy extracted noise. In this work, we discuss way extract particular, explore make better use Unlike current methods that directly compare whole signal with reference one, propose only large components these two signals. Our detector can identify images taken by cameras. meantime, it needs less computational complexity.
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