Acta Optica Sinica, Volume. 29, Issue s1, 93(2009)

Digital Photomontage’s Blind Detection Technology

Qiu Su*, Jin Weiqi, and Song Zheng
Author Affiliations
  • [in Chinese]
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    References(7)

    [1] [1] Farid H. Digital doctoring: How to tell the real from the fake[J]. Significance, 2006, 3(4): 162~166

    [2] [2] H. Farid. Detecting digital forgeries using bispectral analysis, MIT, MIT AI Memo, AIM-1657, 1999

    [3] [3] T.-T. Ng, S.-F. Chang. Blind Image Splicing and Photomontage Detection Using Higher Order Statistics, ADVENT Technical Report, #201-2004-1, Columbia University, http://www.ee.columbia.edu/dvmm/, Jan 2004

    [4] [4] T.-T. Ng, S.-F. Chang, A Model for Image Splicing, ADVENT Technical Report, #207-2004-1, Columbia University, http://www.ee.columbia.edu/dvmm/, Jan 2004

    [5] [5] H. Farid, S. Lyu. Higher-order wavelet statistics and their application to digital forensics, in IEEE Workshop on Statistical Analysis in Computer Vision, Madison, Wisconsin, June 22 2003

    [6] [6] Zhouchen Lin. Detecting Doctored Images Using Camera Response Normality and Consistency http://www.microsoft.com.cn

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    CLP Journals

    [1] Dai Hu, Li Danming, Li Juping, Guo Rui, Jia Lujuan. Modulated Polarization Imaging Technique[J]. Laser & Optoelectronics Progress, 2017, 54(6): 62602

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    Qiu Su, Jin Weiqi, Song Zheng. Digital Photomontage’s Blind Detection Technology[J]. Acta Optica Sinica, 2009, 29(s1): 93

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    Paper Information

    Category: Fourier optics and signal processing

    Received: --

    Accepted: --

    Published Online: Jun. 25, 2009

    The Author Email: Qiu Su (edmondqiu@bit.edu.cn)

    DOI:

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