arXiv:2510.09509cs.CV2025-10被引 2

三星手机图像中的对角线伪影影响相机指纹验证,但原始格式可规避此问题。

Diagonal Artifacts in Samsung Images: PRNU Challenges and Solutions

  • 发现多款三星手机因共用设计导致指纹碰撞,引发对角线伪影。
  • 支持原始格式拍摄的设备仍可实现可靠相机源识别。
  • 伪影可用于提升HDR图像误检率和定位人像模式合成区域。

我们研究了多款三星智能手机图像中出现的对角线伪影及其对基于PRNU的相机源验证的影响。首先表明,部分Galaxy S系列机型因共用设计产生相似伪影,导致指纹碰撞;类似问题亦存在于部分Galaxy A系列机型。其次,我们证明支持PRO模式并能获取原始图像的设备仍可实现可靠的PRNU验证,因其绕过了引入伪影的图像处理流程。然而,这一方案对中端A系列机型不可行,且在无法获取原始图像的取证场景中不适用。最后,我们探讨了对角线伪影的潜在法证应用,例如降低HDR图像中的误检率,以及精确定位人像模式中合成虚化区域的受影响区域。

原文摘要 · Abstract (English)

We investigate diagonal artifacts present in images captured by several Samsung smartphones and their impact on PRNU-based camera source verification. We first show that certain Galaxy S series models share a common pattern causing fingerprint collisions, with a similar issue also found in some Galaxy A models. Next, we demonstrate that reliable PRNU verification remains feasible for devices supporting PRO mode with raw capture, since raw images bypass the processing pipeline that introduces artifacts. This option, however, is not available for the mid-range A series models or in forensic cases without access to raw images. Finally, we outline potential forensic applications of the diagonal artifacts, such as reducing misdetections in HDR images and localizing regions affected by synthetic bokeh in portrait-mode images.

图像取证相机指纹伪影分析

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