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Forensic analysis of AI-compression traces in spatial and frequency domain
Pattern Recognition Letters ( IF 5.1 ) Pub Date : 2024-02-22 , DOI: 10.1016/j.patrec.2024.02.015
Sandra Bergmann , Denise Moussa , Fabian Brand , André Kaup , Christian Riess

The classical JPEG compression is a rich source of cues for forensic image analysis. However, this compression standard will in the near future be complemented by a new, highly efficient learning-based compression standard called JPEG AI. JPEG AI is fundamentally different from classical JPEG. Hence, its forensic traces can also be expected to be fundamentally different. We argue that there is a pressing need for image forensics research to investigate these traces.

中文翻译:

空间和频率域中 AI 压缩痕迹的取证分析

经典的 JPEG 压缩为取证图像分析提供了丰富的线索。然而,在不久的将来,这种压缩标准将得到一种新的、高效的基于学习的压缩标准(称为 JPEG AI)的补充。 JPEG AI 与经典 JPEG 有着根本的不同。因此,它的法医痕迹也可以预料是根本不同的。我们认为迫切需要图像取证研究来调查这些痕迹。
更新日期:2024-02-22
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