A reference estimator based on composite sensor pattern noise for source device identification

Ruizhe Li, Chang Tsun Li, Yu Guan

    Research output: Book chapter/Published conference paperConference paperpeer-review

    5 Citations (Scopus)

    Abstract

    It has been proved that Sensor Pattern Noise (SPN) can serve as an imaging device fingerprint for source camera identification. Reference SPN estimation is a very important procedure within the framework of this application. Most previous works built reference SPN by averaging the SPNs extracted from 50 images of blue sky. However, this method can be problematic. Firstly, in practice we may face the problem of source camera identification in the absence of the imaging cameras and reference SPNs, which means only natural images with scene details are available for reference SPN estimation rather than blue sky images. It is challenging because the reference SPN can be severely contaminated by image content. Secondly, the number of available reference images sometimes is too few for existing methods to estimate a reliable reference SPN. In fact, existing methods lack consideration of the number of available reference images as they were designed for the datasets with abundant images to estimate the reference SPN. In order to deal with the aforementioned problem, in this work, a novel reference estimator is proposed. Experimental results show that our proposed method achieves better performance than the methods based on the averaged reference SPN, especially when few reference images used.
    Original languageEnglish
    Title of host publicationProceedings of SPIE-IS and T Electronic Imaging - Media Watermarking, Security, and Forensics 2014
    Place of PublicationWashington, USA
    PublisherSPIE
    Pages1-7
    Number of pages7
    Volume9028
    ISBN (Print)9780819499455
    DOIs
    Publication statusPublished - 2014
    EventMedia Watermarking, Security, and Forensics 2014 - Hilton Hotel, San Francisco, United States
    Duration: 02 Feb 201406 Feb 2014
    https://www.spiedigitallibrary.org/conference-proceedings-of-spie/9028?SSO=1

    Conference

    ConferenceMedia Watermarking, Security, and Forensics 2014
    Country/TerritoryUnited States
    CitySan Francisco
    Period02/02/1406/02/14
    Internet address

    Fingerprint

    Dive into the research topics of 'A reference estimator based on composite sensor pattern noise for source device identification'. Together they form a unique fingerprint.

    Cite this