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Deep Learning in Image Source Forensics by budoormusameh is a document available to read on EtoBox.

What is Deep Learning in Image Source Forensics about?

This document is a survey on deep learning-based source image forensics, which aims to verify the authenticity and integrity of digital images. It categorizes the field into five sub-topics: source camera identification, recaptured image forensics, computer graphics image forensics, GAN-generated image detection, and source social network identification, while also addressing anti-forensics. The review highlights various algorithms, their advantages and limitations, and proposes a unifying framework for com

Author

budoormusameh

Language

EN