CNN-Based Copy-Move Forgery Detection Using Rotation-Invariant Wavelet Feature

CNN-Based Copy-Move Forgery Detection Using Rotation-Invariant Wavelet Feature

This paper introduces a machine learning based copy-move forgery (CMF) localization method. The basic convolutional neural network cannot be applied to CMF detection because CMF frequently involves rotation transformation. Therefore, we propose a rotation-invariant feature based on the root-mean squ...

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Bibliographic Details
Main Authors: Sang In Lee, Jun Young Park, Il Kyu Eom
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Copy-move forgery
copy-move forgery localization
convolutional neural network
rotation-invariant
stationary wavelet transform
root-mean squared energy
Online Access:https://ieeexplore.ieee.org/document/9911656/

Internet

https://ieeexplore.ieee.org/document/9911656/

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