Dataset Dependency in CNN-Based Copy-Move Forgery Detection: A Multi-Dataset Comparative Analysis

Dataset Dependency in CNN-Based Copy-Move Forgery Detection: A Multi-Dataset Comparative Analysis

Convolutional neural networks (CNNs) have established themselves over time as a fundamental tool in the field of copy-move forgery detection due to their ability to effectively identify and analyze manipulated images. Unfortunately, they still represent a persistent challenge in digital image forens...

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Bibliographic Details
Main Authors: Potito Valle Dell’Olmo, Oleksandr Kuznetsov, Emanuele Frontoni, Marco Arnesano, Christian Napoli, Cristian Randieri
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Machine Learning and Knowledge Extraction
Subjects:
copy-move forgery detection
convolutional neural networks
digital image forensics
dataset dependency
regularization techniques
data augmentation
Online Access:https://www.mdpi.com/2504-4990/7/2/54
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