Source Attribution of Modern Multi-camera Smartphones

Manoranjan Mohanty

2022

Abstract

The PRNU (Photo Response Non-Uniformity)-based source camera attribution is a useful method for verifying if a camera has taken an image (e.g., a crime image). Although this method has matured for images taken by single-camera smartphones, its usability is yet unknown for multi-camera smartphones. A multi-camera smartphone, such as iPhone XS or Huawei P20 Pro, combines output from a number of rear cameras for providing high-quality images. In this paper, we study the effectiveness of the PRNU-based method for a multi-camera smartphone using two simple approaches: (i) multi-fingerprint verification, and (ii) mixed fingerprint verification. In the verification process, the first approach uses fingerprint from each camera whereas the second approach uses a mixed-fingerprint that is obtained by averaging the fingerprints from all cameras. The experimental result shows that the proposed approaches are useful for some camera models. For some other camera models, a more sophisticated method, however, is required.

Paper Citation

in Harvard Style

Mohanty M. (2022). Source Attribution of Modern Multi-camera Smartphones. In Proceedings of the 2nd International Conference on Image Processing and Vision Engineering - Volume 1: IMPROVE, ISBN 978-989-758-563-0, pages 219-225. DOI: 10.5220/0011102200003209

in Bibtex Style

@conference{improve22,
author={Manoranjan Mohanty},
title={Source Attribution of Modern Multi-camera Smartphones},
booktitle={Proceedings of the 2nd International Conference on Image Processing and Vision Engineering - Volume 1: IMPROVE,},
year={2022},
pages={219-225},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011102200003209},
isbn={978-989-758-563-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Image Processing and Vision Engineering - Volume 1: IMPROVE,
TI - Source Attribution of Modern Multi-camera Smartphones
SN - 978-989-758-563-0
AU - Mohanty M.
PY - 2022
SP - 219
EP - 225
DO - 10.5220/0011102200003209