• DocumentCode
    1595146
  • Title

    Wavelet Image Two-Line Coder for Wireless Sensor Node with Extremely Little RAM

  • Author

    Rein, Stephan ; Lehmann, Stephan ; Guhmann, Clemens

  • Author_Institution
    Dept. of Energy & Autom. Technol., Tech. Univ. Berlin, Berlin
  • fYear
    2009
  • Firstpage
    252
  • Lastpage
    261
  • Abstract
    This paper gives a novel wavelet image two-line (Wi2l) coder that is designed to fulfill the memory constraints of a typical wireless sensor node. The algorithm operates line-wisely on picture data stored on the sensor´s flash memory card while it requires approximatively 1.5 kByte RAM to compress a monochrome picture with the size of 256 times 256 Bytes. The achieved data compression rates are the same as with the set partitioning in hierarchical trees (Spiht) algorithm. The coder works recursively on two lines of a wavelet subband while intermediate data of these lines is stored to backward encode the wavelet trees. Thus it does not need any list but three small buffers with a fixed dimension. The compression performance is evaluated by a PC-implementation in C, while time measurements are conducted on a typical wireless. sensor node using a modified version of the PC-code.
  • Keywords
    data compression; flash memories; image coding; performance evaluation; random-access storage; trees (mathematics); wavelet transforms; wireless sensor networks; PC-code; RAM; backward encode; compression performance evaluation; data compression rates; flash memory card; hierarchical trees algorithm; memory constraints; monochrome picture; set partitioning; wavelet image two-line coder; wavelet subband; wavelet trees; wireless sensor node; Data compression; Flash memory; Image coding; Image sensors; Memory management; Partitioning algorithms; Random access memory; Read-write memory; Time measurement; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Compression Conference, 2009. DCC '09.
  • Conference_Location
    Snowbird, UT
  • ISSN
    1068-0314
  • Print_ISBN
    978-1-4244-3753-5
  • Type

    conf

  • DOI
    10.1109/DCC.2009.30
  • Filename
    4976469