• DocumentCode
    144643
  • Title

    Resampling Tamper Detection Based on JPEG Double Compression

  • Author

    Dan Zhu ; Zhiping Zhou

  • Author_Institution
    Sch. of Internet of Things Eng., Jiangnan Univ., Wuxi, China
  • fYear
    2014
  • fDate
    7-9 April 2014
  • Firstpage
    914
  • Lastpage
    918
  • Abstract
    JPEG compression and resampling operations appear frequently when image is tampered, hence the traces of JPEG compression and resampling are used to detect images. As JPEG compression and resampling operations affect the linear correlation between coefficients, so the traces of JPEG compression and the linear correlation are introduced when images are resampled and saved in JPEG format. Hence, the moment of DCT coefficient histogram are taken as the factor of JPEG compression, and due to the singular value decomposition can measure linear correlation between pixels well so that the mean value and variance of the singular values are extracted. At last, two types of features are extracted and trained by SVM. Experimental results show that proposed method has a good detection rate for resampling compression images, especially for rotation operation and the scale factor which greater than 1.
  • Keywords
    data compression; discrete cosine transforms; feature extraction; image coding; singular value decomposition; support vector machines; DCT coefficient histogram; JPEG double compression; JPEG resampling; SVM; compression images; feature extraction; linear correlation; mean value; scale factor; singular value decomposition; singular value variance; tamper detection resampling; Discrete cosine transforms; Feature extraction; Histograms; Image coding; Q-factor; Quantization (signal); Transform coding; JPEG compression; image forgery; resampling detection; singular value decomposition; support vector machine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Systems and Network Technologies (CSNT), 2014 Fourth International Conference on
  • Conference_Location
    Bhopal
  • Print_ISBN
    978-1-4799-3069-2
  • Type

    conf

  • DOI
    10.1109/CSNT.2014.188
  • Filename
    6821533