• DocumentCode
    2394317
  • Title

    A new method for detecting JEPG doubly compression images by using estimated primary quantization step

  • Author

    Shi, FangLing ; Kang, BaoSheng ; Li, HongAn ; Zhu, Yu

  • Author_Institution
    Sch. of Inf. Sci. & Technol., Northwest Univ., Xi´´an, China
  • fYear
    2012
  • fDate
    19-20 May 2012
  • Firstpage
    1810
  • Lastpage
    1814
  • Abstract
    Due to the shortages of JPEG doubly compression detection method proposed by Tomas and Li Bin, a new method for detecting the JPEG double compression images is proposed in this paper. Based on the method of estimated doubly JPEG compression images proposed by Lukas[1], the new method used differences between doubly JPEG compression quantization step and single JPEG compressed quantization step, and the estimated quantization step, as the differentiating features to detect doubly JPEG compressed images. Compared with some existing methods, the simulation experimental results show that the new method is effective to improve the accuracy of checking JPEG images whether are doubly compressed or not.
  • Keywords
    data compression; estimation theory; image coding; object detection; quantisation (signal); JPEG double compression images; JPEG doubly compression detection method; JPEG doubly compression image detection; JPEG image checking; doubly JPEG compressed images; doubly JPEG compression quantization step; estimated doubly JPEG compression images; estimated primary quantization step; estimated quantization step; single JPEG compressed quantization step; Discrete cosine transforms; Educational institutions; Feature extraction; Histograms; Image coding; Quantization; Transform coding; JPEG compression; quantization effect; quantization matrix; quantization step;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems and Informatics (ICSAI), 2012 International Conference on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4673-0198-5
  • Type

    conf

  • DOI
    10.1109/ICSAI.2012.6223396
  • Filename
    6223396