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强大的基于密集场的复制移动伪造本地化使用通用的辐射波里埃时刻不变量
Asmaa M Atallah1, Imbaby I Mahmoud2, Hanaa S Ali1
1Electronics and Communication Engineering Department, Faculty of Engineering, Zagazig University, Zagazig, Egypt.
Journal of forensic sciences
|November 4, 2023
概括
一种新的通用辐射波里埃时刻 (GRHFM) 方法改善了在图像中复制移动伪造的检测. 该技术为可靠的多媒体内容分析提供了卓越的准确性和稳定性.
科学领域:
- 数字图像法医学 数字图像法医学
- 计算机视觉 计算机视觉
- 多媒体安全 多媒体安全
背景情况:
- 图像取证对于验证多媒体内容真实性至关重要.
- 复制移动伪造,一种常见的图像操纵技术,带来了重大挑战.
- 现有的特征提取方法在表示图像内容时往往缺乏准确性.
研究的目的:
- 提出一种新的图像表示技术,用于检测复制移动伪造.
- 为了提高图像法医分析的准确性和稳定性.
- 为独特的图像表示引入通用辐射波里埃时刻 (GRHFM).
主要方法:
- 开发了通用的辐射波里埃时刻 (GRHFM) 算法.
- 使用复杂的指数和三角函数来利用变换内核.
- 基于密度域的匹配模式用于伪造检测的应用.
主要成果:
- 与最先进的技术相比,拟议的GRHFM方法实现了优越的本地化性能.
- 报告了高F1得分 (92.5%),精度 (95.44%) 和回忆 (91.96%).
- 对各种图像变化的证明不变性,表明增强了强度.
结论:
- GRHFM算法为复制移动伪造检测提供了可靠和独特的图像表示.
- 该方法在准确性和稳定性方面表现出显著的改进.
- 其合理的计算成本表明,它在现实世界中的法医场景中具有实际适用性.
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