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A Deep Dive into Wavelet-Based Neural Architectures for Inpainting Forgery Detection Cover

A Deep Dive into Wavelet-Based Neural Architectures for Inpainting Forgery Detection

International Journal of Advanced Statistics and IT&C for Economics and Life Sciences
Volume 15 (2025): Issue 1 (December 2025)
By: Adrian Alin Barglazan,  Remus Brad,  Pitic Elena Alina and  Berghia Ștefania Eliza  
Open Access
|Dec 2025

Authors

Adrian Alin Barglazan

Lucian Blaga University of Sibiu

Remus Brad

Lucian Blaga University of Sibiu

Pitic Elena Alina

Lucian Blaga University of Sibiu

Berghia Ștefania Eliza

Lucian Blaga University of Sibiu
DOI: https://doi.org/10.2478/ijasitels-2025-0019 | Journal eISSN: 2559-365X | Journal ISSN: 2067-354X
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Language: English
Page range: 201 - 217
Published on: Dec 17, 2025
Published by: Lucian Blaga University of Sibiu
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
image inpainting,
forgery detection,
digital image forensics,
wavelet-domain features,
deep neural architectures,
Dual-Tree Complex Wavelet Transform
Related subjects:
Computer sciences,
Computer sciences, other,
Business and economics,
Mathematics and statistics for economists,
Mathematics,
Engineering,
Electrical engineering,
Fundamentals of electrical engineering,
Mathematics,
General mathematics

© 2025 Adrian Alin Barglazan, Remus Brad, Pitic Elena Alina, Berghia Ștefania Eliza, published by Lucian Blaga University of Sibiu
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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