loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Vittoria Bruni ; Silvia Marconi and Domenico Vitulano

Affiliation: Department of Basic and Applied Sciences for Engineering, Sapienza Rome University, via Antonio Scarpa 14-16, 00161 Rome, Italy

Keyword(s): Camera Identification, PRNU, Fourier Transform.

Abstract: In this paper the source camera identification problem is considered and novel features for PRNU noise are studied. The regularity of a suitable sampling of the PRNU image is considered and it is measured through the decay of its Fourier spectrum. This single global feature is independent of image filtering and size, but it carries significant information concerning the image. The aim is to use this feature in the classification step. Some preliminary results show that this kind of approach is promising as it is able to reach identification scores that can be comparable to the reference source camera identification method, without requiring any image downsampling or cropping.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 44.192.94.177

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Bruni, V.; Marconi, S. and Vitulano, D. (2021). A Novel Fourier-based Approach for Camera Identification. In Proceedings of the International Conference on Image Processing and Vision Engineering - IMPROVE; ISBN 978-989-758-511-1, SciTePress, pages 99-106. DOI: 10.5220/0010437000990106

@conference{improve21,
author={Vittoria Bruni. and Silvia Marconi. and Domenico Vitulano.},
title={A Novel Fourier-based Approach for Camera Identification},
booktitle={Proceedings of the International Conference on Image Processing and Vision Engineering - IMPROVE},
year={2021},
pages={99-106},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010437000990106},
isbn={978-989-758-511-1},
}

TY - CONF

JO - Proceedings of the International Conference on Image Processing and Vision Engineering - IMPROVE
TI - A Novel Fourier-based Approach for Camera Identification
SN - 978-989-758-511-1
AU - Bruni, V.
AU - Marconi, S.
AU - Vitulano, D.
PY - 2021
SP - 99
EP - 106
DO - 10.5220/0010437000990106
PB - SciTePress