Survey of image compression algorithms in wireless sensor networks

Wern Chew Li, Li Minn Ang, Phooi Seng Kah

    Research output: Book chapter/Published conference paperConference paperpeer-review

    65 Citations (Scopus)

    Abstract

    The implementation of image processing engines in visual sensor nodes has been a major concern in the development of wireless multimedia sensor networks in a hardware constrained environment. In this paper, a review on eight popular image compression algorithms is presented. After conducting a comprehensive evaluation, it is found that Set-Partitioning in Hierarchical Trees (SPIHT) wavelet-based image compression is the most suitable hardware implemented image compression algorithm in wireless sensor networks due to its high compression efficiency and its simplicity in coding procedures.

    Original languageEnglish
    Title of host publicationProceedings - International Symposium on Information Technology 2008, ITSim
    Volume3
    DOIs
    Publication statusPublished - 12 Dec 2008
    EventInternational Symposium on Information Technology 2008, ITSim - Kuala Lumpur, Malaysia
    Duration: 26 Aug 200829 Aug 2008

    Conference

    ConferenceInternational Symposium on Information Technology 2008, ITSim
    Country/TerritoryMalaysia
    CityKuala Lumpur
    Period26/08/0829/08/08

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