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 paper

55 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
CountryMalaysia
CityKuala Lumpur
Period26/08/0829/08/08

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  • Cite this

    Li, W. C., Ang, L. M., & Kah, P. S. (2008). Survey of image compression algorithms in wireless sensor networks. In Proceedings - International Symposium on Information Technology 2008, ITSim (Vol. 3). [4631875] https://doi.org/10.1109/ITSIM.2008.4631875