Title:

Deep Classifiers and Wavelet Transformation for Fake Image Detection, Journal of Telecommunications and Information Technology, 2023, nr 4

Group publication title:

2023, nr 4, JTIT-artykuły

Creator:

Osowski, Stanislaw ; Golgowski, Maciej

Subject and Keywords:

continuous wavelet transform ; convolutional neuralnetworks ; deep fake ; ensemble of classifier

Abstrakt:

The paper presents the computer system for detecting deep fake images in video films. The system is based on applyingcontinuous wavelet transformation combined with the ensemble of classifiers composed of a few convolutional neural networks of diversified architecture. Three different forms of forged images taken from the Face-Forensics++ database are considered in numerical experiments. The results of experiments on the application of the proposed system have shown good performance in comparison to other actual approaches to this problem.

Number:

4

Publisher:

Instytut Łączności - Państwowy Instytut Badawczy

Date:

2023

Resource Type:

artykuł

DOI:

doi.org/10.26636/jtit.2023.4.133

ISSN:

1509-4553

eISSN:

1899-8852

Source:

Journal of Telecommunications and Information Technology

Language:

ang

License:

CC BY 4.0

rights owner:

Instytut Łączności - Państwowy Instytut Badawczy