• Electro-Optic Technology Application
  • Vol. 36, Issue 6, 66 (2021)
LI Qijie1, GONG Jiachang1, YANG Hongchen1, and CAI Nengbin2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: Cite this Article
    LI Qijie, GONG Jiachang, YANG Hongchen, CAI Nengbin. Image Copy-Paste Forensics Method Based on RG-SIFT[J]. Electro-Optic Technology Application, 2021, 36(6): 66 Copy Citation Text show less
    References

    [2] HUANG Yanping, LU Wei, SUN Wei, et al. Improved DCT-based detection of copy-move rorgery in images[J]. Forensic Science International, 2011, 206(1-3): 178-184.

    [3] MAHMOOD T, MEHMOOD Z, SHAH M, et al. A robust technique for copy-move forgery detection and localization in digital images via stationary wavelet and discrete cosine transform[J]. Journal of Visual Communication & Image Representation, 2018, 53: 202-214.

    [4] HUANG H, GUO W, ZHANG Y. Detection of copy-move forgery in digital images using sift algorithm[C]//PACIIA’08: Proceedings of the 2008 IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application, IEEE Computer Society, Washington, DC, USA, 2008: 272-276.

    [5] AMERINI I, BALLAN L, CALDELLI R, et al. A SIFT-based rorensic method for copy-move attack detection and transformation recovery[J]. IEEE Transactions on Information Forensics and Security, 2011, 6(3): 1099-1110.

    [6] CHRISTLEIN V, RIESS C, JORDAN J, et al. An evaluation of popular copy-move rorgery detection approaches[J]. IEEE Trans Inf Forensics Security, 2012, 7(6): 1841-1854.

    [7] KODAK. Kodak Lossless True Color Image Suite[OL]. http://r0k.us/graphics/kodak/, 2021, 7.

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