Adaptive photo-response non-uniformity noise removal against image source attribution
Adaptive photo-response non-uniformity noise removal against image source attribution
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DOI：
10.1016/j.diin.2015.01.017
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发表时间：
2015-03-01
影响因子：
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通讯作者：
Dirik, Ahmet Emir
中科院分区：
文献类型：
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作者：
Karakucuk, Ahmet;Dirik, Ahmet Emir
图像来源匿名化的主要目的是保护摄影师的身份，使其免受通过PRNU噪声分析来识别来源相机设备的任何尝试。阻碍图像来源归属的一种方法是尽可能地抑制PRNU噪声。针对源摄像机识别问题，提出了一种改进的自适应光响应非均匀(PRNU)去噪方法。通过大量的实验分析，我们对该方法的性能进行了评估。我们还提供了匿名基准和其他来源匿名技术。基准测试结果表明，该方法在速度和图像质量方面优于自适应PRNU去噪方法，适用于包括小型和智能手机在内的各种相机。实验分析还表明，即使在极端攻击条件下，PRNU噪声抑制也可能阻碍源摄像机的识别。(C)2015爱思唯尔有限公司。保留所有权利。
The main objective of image source anonymization is to protect the identity of the photographer against any attempts to identify the source camera device through PRNU noise analysis. One way of impeding image source attribution is to suppress the PRNU noise as much as possible. In this paper, we introduce an improvement on the existing adaptive photo-response non-uniformity (PRNU) denoising method against source camera identification. We evaluate the performance of the proposed method with substantial experimental analysis. We also provide anonymization benchmarks with other source anonymization techniques. The benchmarks' results show that the proposed method outperforms the adaptive PRNU denoising methods for various cameras including compact and smartphone in terms of speed and image quality. The experimental analysis also shows that it is possible to impede source camera identification by PRNU noise suppression even under extreme attack conditions. (C) 2015 Elsevier Ltd. All rights reserved.