Classification of Real and Fake Images Using Error Level Analysis Technique and MobileNetV2 Architecture
Advancements in technology have made image forgery increasingly difficult to detect, raising the risk of misinformation on social media. To address this issue, Error Level Analysis (ELA) feature extraction can be utilized to detect error level variations in lossy-formatted images such as JPEG. This...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universitas Diponegoro
2025-05-01
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| Series: | Jurnal Masyarakat Informatika |
| Subjects: | |
| Online Access: | https://ejournal.undip.ac.id/index.php/jmasif/article/view/73283 |
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