Copy-Move Forgery Detection Using Superpixel Clustering Algorithm and Enhanced GWO Based AlexNet Model
In this work a model is introduced to improve forgery detection on the basis of superpixel clustering algorithm and enhanced Grey Wolf Optimizer (GWO) based AlexNet. After collecting the images from MICC-F600, MICC-F2000 and GRIP datasets, patch segmentation is accomplished using a superpixel cluste...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Sciendo
2022-11-01
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Series: | Cybernetics and Information Technologies |
Subjects: | |
Online Access: | https://doi.org/10.2478/cait-2022-0041 |