• DocumentCode
    2513928
  • Title

    Digital image forgeries detection based on blocking artifact

  • Author

    Zhongmei, Wang ; Yonghong, Long

  • Author_Institution
    Dept. of Comput. & Commun., Hunan Univ. of Technol. Coll., Zhuzhou, China
  • fYear
    2010
  • fDate
    28-30 Nov. 2010
  • Firstpage
    255
  • Lastpage
    258
  • Abstract
    Digital image forgery detection becomes an important research topic now in digital image forensics. JPEG as a popular file form for digital image. DCT transformation and quantization are two main parts of JPEG encoding process. Quantization table is used for quantizing the DCT coefficient and have been proved as an effective feature for image forgery detection. In this paper, we describe an approach to detect digital forgeries by checking inconsistencies of JPEG blocks and measure the block quantization error to get the forgery area. Experiment results also demonstrate the validity of the proposed approach.
  • Keywords
    discrete cosine transforms; feature extraction; image coding; security of data; DCT transformation; JPEG encoding process; Quantization table; blocking artifact; digital image forgery detection; Correlation; Digital images; Discrete cosine transforms; Estimation; Forgery; Quantization; Transform coding; Digital forensics; JPEG compression; Quantization Table; blocking artifact;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Computing and Telecommunications (YC-ICT), 2010 IEEE Youth Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-8883-4
  • Type

    conf

  • DOI
    10.1109/YCICT.2010.5713093
  • Filename
    5713093
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2513928