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ALEX: Automated Low-Light Enhancement eXpert for Intelligent Security Systems Using Vision Transformer Cover

ALEX: Automated Low-Light Enhancement eXpert for Intelligent Security Systems Using Vision Transformer

Cybernetics and Information Technologies
Volume 25 (2025): Issue 4 (December 2025)
By: Alam Rahmatulloh,  Erna Haerani,  Rohmat Gunawan,  Eryan Ahmad Firdaus and  Ghatan Fauzi Nugraha  
Open Access
|Dec 2025

Authors

Alam Rahmatulloh

alam@unsil.ac.id

Departemen of Informatics, Faculty of Engineering, Siliwangi University, Indonesia
Forensic and Security (FAST), Research Group, Siliwangi University, Indonesia

Erna Haerani

erna@unsil.ac.id

Department of Information Systems, Faculty of Engineering, Siliwangi University, Indonesia

Rohmat Gunawan

rohmatgunawan@unsil.ac.id

Departemen of Informatics, Faculty of Engineering, Siliwangi University, Indonesia

Eryan Ahmad Firdaus

eryan.ahmad.firdaus@unhan.ac.id

Department of Informatics Engineering, University of Pertahanan, Indonesia

Ghatan Fauzi Nugraha

ghatan.fauzi.nurgraha@unj.ac.id

Forensic and Security (FAST), Research Group, Siliwangi University, Indonesia
DOI: https://doi.org/10.2478/cait-2025-0038 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
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Language: English
Page range: 145 - 165
Submitted on: Sep 6, 2025
Accepted on: Oct 28, 2025
Published on: Dec 11, 2025
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
ALEX,
Closed-circuit television,
Low-light image enhancement,
Relative lighten cross-attention,
SwinIR
Related subjects:
Computer sciences,
Information technology

© 2025 Alam Rahmatulloh, Erna Haerani, Rohmat Gunawan, Eryan Ahmad Firdaus, Ghatan Fauzi Nugraha, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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