• DocumentCode
    233173
  • Title

    Erasing the JPEG Compression Artifacts: An Improved Counter-Forensic Algorithm Based on Parameter Adjustment

  • Author

    Guorui Sheng ; Qingtang Su

  • Author_Institution
    Coll. of Inf. & Electr. Eng., LuDong Univ., Yantai, China
  • fYear
    2014
  • fDate
    8-10 Nov. 2014
  • Firstpage
    321
  • Lastpage
    324
  • Abstract
    With the growing awareness of the fraud case for digital images, the researchers have developed some forensic techniques that based on the intrinsic statistical history or trace left by the JPEG compression to determine an image´s manipulation. In this letter, we present an improved counter-forensic scheme that based on parameter adjustment. The simulation shows that by using the proposed strategy and combined with the chaotic theory, the scheme can erase the quantization artifacts perfectly, especially when the compression factor Q = 50, the improved algorithm can achieve a better counter-forensic result than the original method.
  • Keywords
    data compression; image coding; image forensics; JPEG compression artifacts; improved counter-forensic algorithm; parameter adjustment; quantization artifacts; Discrete cosine transforms; Forensics; Histograms; Image coding; Noise; Quantization (signal); Transform coding; Anti-forensics; JPEG compression; chaotic signal; digital image authenticity; digital image forgery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Broadband and Wireless Computing, Communication and Applications (BWCCA), 2014 Ninth International Conference on
  • Conference_Location
    Guangdong
  • Print_ISBN
    978-1-4799-4174-2
  • Type

    conf

  • DOI
    10.1109/BWCCA.2014.83
  • Filename
    7016089