• DocumentCode
    1938183
  • Title

    Low-complexity scalable image compression

  • Author

    Van Der Vleuten, Rene J. ; Kleihorst, R.P.

  • Author_Institution
    Philips Res. Lab., Eindhoven, Netherlands
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    23
  • Lastpage
    32
  • Abstract
    We have developed a scalable image compression scheme with a good performance-complexity trade-off. Like JPEG, it is based on the 8×8 block discrete cosine transform (DCT), but it uses no additional quantization or entropy coding (such as Huffman or arithmetic coding). Bit-rate or quality scalability is enabled by encoding the DCT coefficients bit plane by bit plane, starting at the most significant plane. The individual bit planes are efficiently encoded using simple rectangular zones. Our method offers about the same compression performance as JPEG, but at a significant lower complexity and with the additional feature of scaling the bit rate by simply truncating the generated bit string
  • Keywords
    computational complexity; data compression; discrete cosine transforms; image coding; transform coding; DCT encoding; bit string truncation; bit-rate scalability; block discrete cosine transform; compression performance; low-complexity image compression; quality scalability; rectangular zones; scalable image compression; Arithmetic; Bit rate; Discrete cosine transforms; Discrete wavelet transforms; Entropy coding; Image coding; Laboratories; PSNR; Transform coding; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Compression Conference, 2000. Proceedings. DCC 2000
  • Conference_Location
    Snowbird, UT
  • ISSN
    1068-0314
  • Print_ISBN
    0-7695-0592-9
  • Type

    conf

  • DOI
    10.1109/DCC.2000.838142
  • Filename
    838142