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Blind detection of duplicate regions in digital images

Boštjan Čargo (2009) Blind detection of duplicate regions in digital images. EngD thesis.

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    This work refers to the research area of digital image processing. Its main purpose is to elucidate the field of automatic digital forgery detection and, within its scope, describe a particular algorithm for blind detection of duplicated image regions: the so-called Duplicate Region Detector (DRD). The algorithm is based on principal component analysis, reduction of image blocks representations, and their lexicographical comparison. Our java implementation was tested on a population with positive and negative examples. Test results enabled us to assess efficiency and efficacy, as well as robustness against specific digital image processing operations. The principal conclusion is a thesis that the algorithm can only be made more efficient by abandoning fixed parameter values that are set in advance in favour of values that are defined based on characteristics of each input image.

    Item Type: Thesis (EngD thesis)
    Keywords: computer vision, image tampering, duplicated image region, Principal component analysis, reduced representation, candidate list, candidate removal, duplication map
    Number of Pages: 75
    Language of Content: Slovenian
    Mentor / Comentors:
    Name and SurnameIDFunction
    prof. dr. Aleš Leonardis29Mentor
    Link to COBISS: http://www.cobiss.si/scripts/cobiss?command=search&base=50070&select=(ID=7018836)
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Item ID: 819
    Date Deposited: 23 Mar 2009 11:48
    Last Modified: 13 Aug 2011 00:35
    URI: http://eprints.fri.uni-lj.si/id/eprint/819

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