Generation of Novelty Ground Truth Image Using Image Classification and Semantic Segmentation for Copy-Move Forgery Detection

Generation of Novelty Ground Truth Image Using Image Classification and Semantic Segmentation for Copy-Move Forgery Detection

Since the ground truth (GT) generated by CNN has pieces of patch information of the learned class, the accurate detection of Copy-Move is ambiguous. With various CNNs for image classification and semantic segmentation, the generated GT images are different yet similar to patch patterns for detecting...

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Bibliographic Details
Main Author: Kang Hyeon Rhee
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Copy-move image forensics
forgery detection
ground truth image
image classification
semantic segmentation
deep neural network
Online Access:https://ieeexplore.ieee.org/document/9656176/

Internet

https://ieeexplore.ieee.org/document/9656176/

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