• DocumentCode
    1789065
  • Title

    Hardware implementation and testing of effective DPCM image compression technique using multiple-LUT

  • Author

    Alias, Binu ; Mehra, Anu ; Harsha, P.

  • Author_Institution
    Entuple Technol. Pvt Ltd., Bangalore, India
  • fYear
    2014
  • fDate
    10-11 Oct. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Of the various onboard data compression techniques used in image processing, DPCM is one of the most commonly used. This paper presents a variant of DPCM based image compression technique called DPCM-ML. DPCM-ML is an effective technique for compressing images with high degree of contrast. This paper explains the DPCM-ML technique and the implementation methodology used. For the hardware implementation, an algorithm for DPCM-ML technique is designed. Various test data were generated during simulation to verify the developed code prior to implementation on hardware. The hardware functionality was verified with same test data used during simulation and also an image file was fed to the hardware from PC and the compressed data was acquired. Reverse algorithm was developed in PC to reconstruct the image from compressed data, so that the comparison could be done between real image and reconstructed image.
  • Keywords
    data compression; differential pulse code modulation; image coding; image reconstruction; table lookup; DPCM-ML technique; differential pulse code modulation; effective DPCM image compression technique; image processing; image reconstruction; look up table; multiple-LUT; onboard data compression techniques; reverse algorithm; Algorithm design and analysis; Data compression; Hardware; Image coding; Image reconstruction; Receivers; Table lookup; DPCM-Differential Pulse code Modulation; LUT-Look up Table; Lossy compression; RMSE-Root Mean Square Error;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Electronics, Computers and Communications (ICAECC), 2014 International Conference on
  • Conference_Location
    Bangalore
  • Type

    conf

  • DOI
    10.1109/ICAECC.2014.7002433
  • Filename
    7002433