• DocumentCode
    1548641
  • Title

    Low power embedded extension algorithm for lifting-based discrete wavelet transform in JPEG2000

  • Author

    Tan, K.C.B. ; Arslan, T.

  • Author_Institution
    Dept. of Electr. Eng., Edinburgh Univ., UK
  • Volume
    37
  • Issue
    22
  • fYear
    2001
  • fDate
    10/25/2001 12:00:00 AM
  • Firstpage
    1328
  • Lastpage
    1330
  • Abstract
    A novel algorithmic technique for reducing power and area consumption of the discrete wavelet transform (DWT) on CMOS-based DSP architectures is presented. The technique reduces power by combining the data-extension procedure into the lifting-based DWT core. It is demonstrated that the new algorithm can be used to obtain more than 50% reduction in the amount of memory required, leading to significant reduction in area and power
  • Keywords
    CMOS digital integrated circuits; data compression; digital signal processing chips; discrete wavelet transforms; image coding; low-power electronics; CMOS-based DSP architectures; JPEG2000; area consumption reduction; data-extension procedure; discrete wavelet transform; lifting-based DWT core; low power embedded extension algorithm; power reduction;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:20010915
  • Filename
    964275
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1548641