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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Autori principali:	Vito Nicola Convertini, Donato Impedovo, Ugo Lopez, Giuseppe Pirlo, Gioacchino Sterlicchio
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2024-11-01
Serie:	Information
Soggetti:	Generative Adversarial Network (GAN) deepfake detection discrete Fourier transform (DFT) face forgery StyleGAN spectrum analysis
Accesso online:	https://www.mdpi.com/2078-2489/15/11/711
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