• DocumentCode
    2698899
  • Title

    Bidimensional Empirical Mode Decomposition for multiresolution image coding

  • Author

    Guaragnella, C. ; Manni, A. ; Palumbo, F. ; Politi, T.

  • Author_Institution
    Electrics & Electron. Dept., Politec. di Bari, Bari, Italy
  • fYear
    2010
  • fDate
    6-8 Sept. 2010
  • Firstpage
    34
  • Lastpage
    37
  • Abstract
    Bidimensional Empirical Mode Decomposition (BEMD) provides a tool for image processing for its special ability to locally separate spatial frequencies. The Intrinsic Mode Functions (IMFs) other than the first are images of lower frequency components. The coding method presented in this paper uses the BEMD process to create two sub-band images from the original image: hi and low frequency. These images are differently subsampled and compressed by JPEG standard with different quality factor and then sent to a feedback system to compensate the quality loss in the compression process. The proposed paper proposes a technique to enhance jpeg encoding of images. Reconstructed images produce increased visual appearance of correspondent jpeg coded ones at same compression rate.
  • Keywords
    Q-factor; data compression; feedback; image coding; image reconstruction; image resolution; JPEG standard; bidimensional empirical mode decomposition; feedback system; image coding; image compression; image quality; image reconstruction; image resolution; intrinsic mode function; quality factor; Bit rate; Image coding; Image resolution; PSNR; Pixel; Signal resolution; Transform coding; Bidimensional empirical mode decomposition; image coding; multiresolution decomposition; spatial frequency;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence for Measurement Systems and Applications (CIMSA), 2010 IEEE International Conference on
  • Conference_Location
    Taranto
  • Print_ISBN
    978-1-4244-7228-4
  • Type

    conf

  • DOI
    10.1109/CIMSA.2010.5611762
  • Filename
    5611762