• DocumentCode
    2833348
  • Title

    Low-complexity scalable DCT image compression

  • Author

    Van Der Vleuten, Rene J. ; Kleihorst, Richard P. ; Hentschel, Christian

  • Author_Institution
    Philips Res. Lab., Eindhoven, Netherlands
  • Volume
    3
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    837
  • 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 lower complexity and with the additional feature of scaling the bit rate by simply truncating the generated bit string
  • Keywords
    adaptive signal processing; computational complexity; data compression; discrete cosine transforms; image coding; DCT coefficients; JPEG; adaptive rectangular zones; bit plane encoding; bit-rate scalability; compression performance; discrete cosine transform; generated bit string truncation; low-complexity scalable DCT image compression; performance-complexity trade-off; quality scalability; Arithmetic; Bit rate; Discrete cosine transforms; Image coding; Laboratories; PSNR; Quantization; Scalability; Transform coding; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2000. Proceedings. 2000 International Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    1522-4880
  • Print_ISBN
    0-7803-6297-7
  • Type

    conf

  • DOI
    10.1109/ICIP.2000.899586
  • Filename
    899586