Patch-based sensor pattern noise for camera source identification
作者： Yue Tan , Bo Wang , Meijuan Zhao , Xiangwei Kong , Ming Li
DOI: 10.1109/CHINASIP.2015.7230528
关键词:
摘要: Sensor pattern noise (SPN) has been proved to be an inherent fingerprint of a camera, and it broadly used in the fields image authentication camera source identification. However, SPN extracted using current denoising algorithm always contains content residual, which would significatively influence accuracy In this paper, novel patch-based (PB) sensor for identification is proposed solve problem. Low-complexity patches images are selected construct local reference SPN, least residual. The global constituted with block-wised SPN. Similarly test image, from low-complexity region, making correlation corresponding Our experiments on Dresden database demonstrate that approach outperforms two estimation methods literatures as baseline.
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