Source camera identification using enahnced sensor pattern noise

Chang Tsun Li

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

    6 Citations (Scopus)

    Abstract

    Sensor pattern noises (SPN), extracted from digital images as device fingerprints, have been proved as an effective way for digital device identification. However, the limitation of the current method of extracting the sensor pattern noise is that the SPNs extracted from images are highly contaminated by the details from the scene and as a result the misclassification rate is high unless images of large size are used. In this work we propose a novel approach for enhancing sensor pattern noises so as to improve the performance of the identifier. The hypothesis underlying our fingerprint enhancer is that the stronger a signal component is, the less trustworthy the component should be and thus should be attenuated. An enhanced fingerprint can be obtained by assigning weighting factors inversely proportional to the magnitude of the signal components.

    Original languageEnglish
    Title of host publication2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings
    PublisherIEEE Computer Society
    Pages1509-1512
    Number of pages4
    ISBN (Print)9781424456543
    DOIs
    Publication statusPublished - 2009
    Event2009 IEEE International Conference on Image Processing, ICIP 2009 - Cairo, Egypt
    Duration: 07 Nov 200910 Nov 2009

    Conference

    Conference2009 IEEE International Conference on Image Processing, ICIP 2009
    Country/TerritoryEgypt
    CityCairo
    Period07/11/0910/11/09

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