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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'...

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Principais autores: Pengpeng Yang, Daniele Baracchi, Dasara Shullani, Marco Fontani, Rongrong Ni, Yao Zhao, Alessandro Piva
Formato: Artigo
Idioma:Inglês
Publicado: Frontiers Media S.A. 2026-07-01
Series:Frontiers in Imaging
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Acceso en liña:https://www.frontiersin.org/articles/10.3389/fimag.2026.1836077/full
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