Discrete Fourier Transform in Unmasking Deepfake Images: A Comparative Study of StyleGAN Creations

Discrete Fourier Transform in Unmasking Deepfake Images: A Comparative Study of StyleGAN Creations

This study proposes a novel forgery detection method based on the analysis of frequency components of images using the Discrete Fourier Transform (DFT). In recent years, face manipulation technologies, particularly Generative Adversarial Networks (GANs), have advanced to such an extent that their mi...

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Bibliographic Details
Main Authors: Vito Nicola Convertini, Donato Impedovo, Ugo Lopez, Giuseppe Pirlo, Gioacchino Sterlicchio
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Information
Subjects:
Generative Adversarial Network (GAN)
deepfake detection
discrete Fourier transform (DFT)
face forgery
StyleGAN
spectrum analysis
Online Access:https://www.mdpi.com/2078-2489/15/11/711
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