Survey of image compression algorithms in wireless sensor networks

Wern Chew Li, Li Minn Ang, Phooi Seng Kah

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-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
DOIs
Publication statusPublished - 2008
Externally publishedYes
EventInternational Symposium on Information Technology 2008, ITSim - Kuala Lumpur, Malaysia
Duration: 26 Aug 200829 Aug 2008

Publication series

NameProceedings - International Symposium on Information Technology 2008, ITSim
Volume3

Conference

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

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