NIU Shaozhang, MENG Xianzhe, CUI Haoliang, “Digital Image Forensics Using Orthogonal 1-D Objects,” Chinese Journal of Electronics, vol. 23, no. 3, pp. 545-549, 2014,
Citation: NIU Shaozhang, MENG Xianzhe, CUI Haoliang, “Digital Image Forensics Using Orthogonal 1-D Objects,” Chinese Journal of Electronics, vol. 23, no. 3, pp. 545-549, 2014,

Digital Image Forensics Using Orthogonal 1-D Objects

Funds:  This work is supported by National Natural Science Foundation of China (No.61070207, No.61370195), Beijing Natural Science Foundation (No.4132060) and National Cryptography Development Foundation of China (No.MMJJ201201002).
  • Received Date: 2013-01-01
  • Rev Recd Date: 2013-03-01
  • Publish Date: 2014-07-05
  • The imaging features are shared by all images shot by cameras, the artificial images may break these features. We introduce the image formation model to image forensics. Orthogonal 1-D objects with known scale on either direction are used to estimate the principal point parameter, and the inconsistency of the principal point indicates a forgery. Experiments show that our method can detect cropping and copy-paste efficiently, and it is robust to smoothing, noise and JPEG compression.
  • loading
  • B. Wang, X. Kong, E. Bertino, H. Fu, "Exposing copy-pasteblur forgeries based on color coherence", Chinese Journal of Electronics, Vol.18, No.3, pp.487-490, 2009.
    Y. Chen, Y. Wang, "Exposing digital forgeries by detecting traces of smoothing", The 9th International Conference for Young Computer Scientists, pp.1440-1445, 2008.
    T.-T. Ng, S.-F. Chang, J. Hsu, L. Xie, et al., "Physics-motivated features for distinguishing photo-graphic images and computer graphics", ACM Multimedia, Singapore, pp.239-248, 2005.
    E. Kee, H. Farid, "Exposing digital forgeries from 3-D lighting environments", Workshop on Information Forensics and Security, Seattle, pp.1-6, 2010.
    A. C. Popescu, H. Farid, "Exposing digital forgeries in color filter array interpolated images", IEEE Trans. Signal Process, Vol.53, No.10, pp.3948-3959, 2005.
    A. C. Popescu, H. Farid, "Exposing digital forgeries by detecting traces of resampling", IEEE Trans. Signal Process, Vol.53, No.2, pp.758-767, 2005.
    F. Huang, J. Huang, and Q. Yun, "Detecting double JPEG compression with the same quantization matrix", IEEE Trans. Information Forensics and Security, Vol.5, No.4, pp.848-856, 2010.
    Y. Li, Z. Qu, J. Huang, "Enhancing source camera identification performance with a camera reference phase sensor pattern noise", IEEE Trans. on Information Forensics and Security, Vol.7, No.2, pp.393-402, 2012.
    C. Li, Y. Li, "Color-decoupled photo response non-uniformity for digital image forensics", IEEE Trans. on Circuits and System for Video Technology, Vol.22, No.2, pp.260-271, 2012.
    R. Hartley, A. Zisserman, D. Davidson, Multiple View Geometry in Computer Vision, Cambridge University Robotica Press, Cambridge, UK, 2005.
    M. Johnson, H. Farid, "Detecting photographic composites of people", The 6th International Workshop on Digital Watermarking, Guangzhou, China, 2007.
    Z. Zhang, "A flexible new technique for camera calibration", IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol.22, No.11, pp.1330-1334, 2000.
    I. Miyagawa, H. Arai, H. Koike, "Simple camera calibration from a single image using five points on two orthogonal 1-D objects", IEEE Trans. on Image Processing, Vol.19, No.6, pp.1528-1538, 2010.
    X. Meng, S. Niu, R. Yan, Y. Li, "Detecting photographic cropping based on vanishing points", Chinese Journal of Electronics, Vol.22, No.2, pp.369-372, 2013.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (459) PDF downloads(1194) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return