Počet záznamů: 1  

Blind Verification of Digital Image Originality: A Statistical Approach

  1. 1.
    0398095 - ÚTIA 2014 RIV US eng J - Článek v odborném periodiku
    Mahdian, Babak - Nedbal, R. - Saic, Stanislav
    Blind Verification of Digital Image Originality: A Statistical Approach.
    IEEE Transactions on Information Forensics and Security. Roč. 8, č. 9 (2013), s. 1531-1540. ISSN 1556-6013. E-ISSN 1556-6021
    Grant CEP: GA MV VG20102013064; GA ČR GA13-28462S
    Institucionální podpora: RVO:67985556
    Klíčová slova: blind verification * image extraction * camera fingerprints
    Kód oboru RIV: JC - Počítačový hardware a software
    Impakt faktor: 2.065, rok: 2013
    http://library.utia.cas.cz/separaty/2013/ZOI/mahdian-0398095.pdf

    Many methods for verifying the integrity of digital images employ various fingerprints associated with acquisition devices. Data on an acquisition device and fingerprints are extracted from an image and confronted with a reference data set that includes all possible fingerprints of the acquisition device. This allows us to draw a conclusion whether the digital image has been modified or not. Thus it is critical to have a sufficiently large, reliable, and true reference data set, otherwise critical miscalculations can arise. Reference data sets are extracted from image data sets that in turn are collected from unknown and nonguaranteed environments (mostly from the Internet). Since often software modifications leave no obvious traces in the image file (e.g., in metadata), it is not easy to recognize original images, from which fingerprints of acquisition devices can be extracted to form true reference data sets. This is the problem addressed in this paper.
    Trvalý link: http://hdl.handle.net/11104/0225914

     
     
Počet záznamů: 1  

  Tyto stránky využívají soubory cookies, které usnadňují jejich prohlížení. Další informace o tom jak používáme cookies.