• DocumentCode
    337608
  • Title

    Separable Karhunen Loeve transforms for the weighted universal transform coding algorithm

  • Author

    Feng, Hanying ; Effros, Michelle

  • Author_Institution
    Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA, USA
  • Volume
    5
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    2435
  • Abstract
    The weighted universal transform code (WUTC) is a two-stage transform code that replaces JPEG´s single, non-optimal transform code with a jointly designed collection of transform codes to achieve good performance across a broader class of possible sources. Unfortunately, the performance gains of WUTC are achieved at the expense of significant increases in computational complexity and larger codes. We here present a faster, more space-efficient WUTC algorithm. The new algorithm uses separable coding instead of direct KLT. While separable coding gives performance comparable to that of WUTC, it uses only 1/8 of the floating-point multiplications and 1/32 of storage of direct KLT. Experimental results included in this work compare the performance of new separable WUTC with both the WUTC and other fast variations of that algorithm
  • Keywords
    Karhunen-Loeve transforms; computational complexity; image coding; transform coding; WUTC; computational complexity; floating-point multiplications; performance; separable Karhunen Loeve transforms; two-stage transform code; weighted universal transform coding algorithm; Algorithm design and analysis; Decorrelation; Discrete cosine transforms; Discrete transforms; Image coding; Karhunen-Loeve transforms; Performance gain; Postal services; Quantization; Transform coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
  • Conference_Location
    Phoenix, AZ
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-5041-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.1999.760622
  • Filename
    760622