• DocumentCode
    3032712
  • Title

    M-ary QIM Data Hiding for Error Concealment of Digital Image in JPEG Pipeline

  • Author

    Phadikar, Amit ; Maity, Santi P.

  • Author_Institution
    Dept. of Inf. Technol., MCKV Inst. of Eng., Howrah, India
  • fYear
    2009
  • fDate
    28-29 Dec. 2009
  • Firstpage
    93
  • Lastpage
    97
  • Abstract
    The present paper proposes a scheme for error concealment of digital images(s) using data hiding in JPEG coding pipeline. The goal is achieved by embedding a low resolution version (image-digest) of an image into itself during compression using M-ary modulation. Halftoning technique is used to obtain the image digest from the low-resolution version of the image, while near-orthogonal quantization index modulation (QIM) is used for the implementation of M-ary modulation. At the decoder, this embedded watermark is extracted and is used as a reference to conceal the transmission losses in the received image. The simulation results show that the use of M-ary modulation provides more efficient performance measure with various loss blocks than traditional QIM, without decreasing the compatibility of standard JPEG coding scheme.
  • Keywords
    data compression; data encapsulation; error correction; image coding; quantisation (signal); watermarking; JPEG coding pipeline; M-ary modulation; data hiding; digital images; embedded watermark; error concealment; halftoning technique; image compression; image digest; near-orthogonal quantization index modulation; transmission losses; Data encapsulation; Decoding; Digital images; Image coding; Image resolution; Pipelines; Propagation losses; Quantization; Transform coding; Watermarking; Compressed Domain; Data Hiding; Error Concealment; JPEG; M-ary Modulation; Near-orthogonal QIM;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Computing, Control, & Telecommunication Technologies, 2009. ACT '09. International Conference on
  • Conference_Location
    Trivandrum, Kerala
  • Print_ISBN
    978-1-4244-5321-4
  • Electronic_ISBN
    978-0-7695-3915-7
  • Type

    conf

  • DOI
    10.1109/ACT.2009.33
  • Filename
    5376830