源摄像头识别技术:一项调查
Chijioke Emeka Nwokeji1, Akbar Sheikh-Akbari1, Anatoliy Gorbenko1
1School of Built Environment, Engineering, and Computing, Leeds Beckett University, Leeds LS6 3QR, UK.
Journal of imaging
|February 23, 2024
概括
本文调查了识别数字图像源相机的方法,这对于数字取证至关重要. 它分析了使用硬件和软件工件的技术,以确定法律证据的图像来源.
科学领域:
- 数字法医学数字法医学
- 图像分析 图像分析
- 计算机视觉 计算机视觉
背景情况:
- 数字图像是法律调查中的关键证据.
- 证明数字图像的源摄像头对于案例完整性至关重要.
- 目前用于源摄像头识别的现有方法存在局限性.
研究的目的:
- 调查和批判性地检查现有的源摄像头识别技术.
- 分析各种识别方法的优缺点.
- 提供当前方法的全面比较.
主要方法:
- 关于源摄像头识别方法的文献审查.
- 分析利用内在硬件工件的技术 (例如,传感器模式噪音,镜头扭曲).
- 基于软件工件的方法的检查 (例如,颜色过器阵列,自动白平衡).
主要成果:
- 识别用于源摄像头归因的各种技术.
- 基于固有的硬件和软件工件的方法有效性的评估.
- 讨论基准数据集和绩效测量的评估标准.
结论:
- 源摄像头识别对于数字证据至关重要.
- 提供了对现有技术的优缺点的全面了解.
- 概述了源摄像头识别的未来研究方向.
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