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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/53761


    Title: Fast copy-move forgery detection
    Authors: Lin, Hwei-Jen;Wang, Chun-Wen;Kao, Yang-Ta
    Contributors: 淡江大學資訊工程學系
    Keywords: Forgery Detection;Copy-move Forgery;Singular Value Decomposition (SVD);Principal Component Analysis (PCA);Lexicographical Sort;Scale Invariant Feature Transform (SIFT) Descriptors;Log-polar Coordinates;Radix Sort;Connected Component Analysis
    Date: 2009-05
    Issue Date: 2011-05-20 09:59:00 (UTC+8)
    Publisher: Wisconsin: World Scientific and Engineering Academy and Society
    Abstract: This paper proposes a method for detecting copy-move forgery over images tampered by copy-move. To detect such forgeries, the given image is divided into overlapping blocks of equal size, feature for each block is then extracted and represented as a vector, all the extracted feature vectors are then sorted using the radix sort. The difference (shift vector) of the positions of every pair of adjacent feature vectors in the sorting list is computed. The accumulated number of each of the shift vectors is evaluated. A large accumulated number is considered as possible presence of a duplicated region, and thus all the feature vectors corresponding to the shift vectors with large accumulated numbers are detected, whose corresponding blocks are then marked to form a tentative detected result. Finally, the medium filtering and connected component analysis are performed on the tentative detected result to obtain the final result. Compared with other methods, employing the radix sort makes the detection much more efficient without degradation of detection quality.
    Relation: WSEAS Transactions on Signal Processing 5(5), pp.188-197
    Appears in Collections:[Graduate Institute & Department of Computer Science and Information Engineering] Journal Article

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