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Open access Jul 2026

A deep learning-based decision fusion framework for image forgery localization

As an answer to the need to prove the authenticity of digital images, several forensic tools for image forgery localization have been proposed in the past. However, authenticity analysis remained a challenging task, which requires an expert's knowledge to correctly interpret each forensic algorithm's output. Moreover,...

Pengpeng Yang, Daniele Baracchi, Dasara Shullani et al. · 0 citations

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