A novel image filtering approach for sensor fingerprint estimation in source camera identification

Mustafa Al-Ani, Fouad Khelifi, Ashref Lawgaly, Ahmed Bouridane

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

10 Citations (Scopus)

Abstract

Photo-response non-uniformity (PRNU) noise has been well established as a reliable fingerprint of imaging sensors for source camera identification and other forensic applications. In this paper, we introduce a novel denoising method for PRNU noise extraction that considerably outperforms the existing techniques. The rationale is to use as little as one adjacent pixel in spatial domain filtering to suppress the pixel-to-pixel correlation in the estimation of the (supposedly white) PRNU noise. Experimental results are presented based on an image database of ten cameras of different models and makes. These results are embodied in the receiver operating characteristic (ROC) of source camera identification.
Original languageEnglish
Title of host publication2015 12th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)
Place of PublicationPiscataway
PublisherIEEE
Pages1-5
ISBN (Print)978-1-4673-7632-7
DOIs
Publication statusPublished - 26 Oct 2015
Event12th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2015 - Karlsruhe
Duration: 26 Oct 2015 → …

Conference

Conference12th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), 2015
Period26/10/15 → …

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