Lens Aberrations Detection and Digital Camera Identification with Convolutional Autoencoders

Jarosław Bernacki, Rafał Scherer

2025

Abstract

Digital camera forensics relies on the ability to identify digital cameras based on their unique characteristics. While many methods exist for camera fingerprinting, they often struggle with efficiency and scalability due to the large image sizes produced by modern devices. In this paper, we propose a novel approach that utilizes convolutional and variational autoencoders to detect optical aberrations, such as vignetting and distortion. Our model, trained in an aberration-independent manner, enables automatic detection of these distortions without needing reference patterns. Furthermore, we demonstrate that the same methodology can be applied to digital camera identification based on image analysis. Extensive experiments conducted on multiple cameras and images confirm the effectiveness of our approach in both aberration detection and device fingerprinting, highlighting its potential applications in forensic investigations.

Paper Citation

in Harvard Style

Bernacki J. and Scherer R. (2025). Lens Aberrations Detection and Digital Camera Identification with Convolutional Autoencoders. In Proceedings of the 22nd International Conference on Security and Cryptography - Volume 1: SECRYPT; ISBN 978-989-758-760-3, SciTePress, pages 84-95. DOI: 10.5220/0013485900003979

in Bibtex Style

@conference{secrypt25,
author={Jarosław Bernacki and Rafał Scherer},
title={Lens Aberrations Detection and Digital Camera Identification with Convolutional Autoencoders},
booktitle={Proceedings of the 22nd International Conference on Security and Cryptography - Volume 1: SECRYPT},
year={2025},
pages={84-95},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013485900003979},
isbn={978-989-758-760-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 22nd International Conference on Security and Cryptography - Volume 1: SECRYPT
TI - Lens Aberrations Detection and Digital Camera Identification with Convolutional Autoencoders
SN - 978-989-758-760-3
AU - Bernacki J.
AU - Scherer R.
PY - 2025
SP - 84
EP - 95
DO - 10.5220/0013485900003979
PB - SciTePress