Prnu Pattern Alignment for Images and Videos Based on Scene Content

Fabio Bellavia, Bellavia, Marco Fanfani, Massimo Iuliani, Alessandro Piva, Carlo Colombo

Risultato della ricerca: Conference contribution

2 Citazioni (Scopus)

Abstract

This paper proposes a novel approach for registering the PRNU pattern between different camera acquisition modes by relying on the imaged scene content. First, images are aligned by establishing correspondences between local descriptors: The result can then optionally be refined by maximizing the PRNU correlation. Comparative evaluations show that this approach outperforms those based on brute-force and particle swarm optimization in terms of reliability, accuracy and speed. The proposed scene-based approach for PRNU pattern alignment is suitable for video source identification in multimedia forensics applications
Lingua originaleEnglish
Titolo della pubblicazione ospite2019 IEEEInternational Conferenceon Image Processing - Proceedings
Pagine91-95
Numero di pagine5
Stato di pubblicazionePublished - 2019

Serie di pubblicazioni

NomePROCEEDINGS - INTERNATIONAL CONFERENCE ON IMAGE PROCESSING

All Science Journal Classification (ASJC) codes

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  • ???subjectarea.asjc.1700.1707???
  • ???subjectarea.asjc.1700.1711???

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