Survey of image compression algorithms in wireless sensor networks

Wern Chew Li; Li Minn Ang; Phooi Seng Kah

doi:10.1109/ITSIM.2008.4631875

Survey of image compression algorithms in wireless sensor networks

Wern Chew Li, Li Minn Ang, Phooi Seng Kah

Materials and Manufacturing Engineering

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

66 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 language	English
Title of host publication	Proceedings - International Symposium on Information Technology 2008, ITSim
DOIs	https://doi.org/10.1109/ITSIM.2008.4631875
Publication status	Published - 2008
Externally published	Yes
Event	International Symposium on Information Technology 2008, ITSim - Kuala Lumpur, Malaysia Duration: 26 Aug 2008 → 29 Aug 2008

Publication series

Name	Proceedings - International Symposium on Information Technology 2008, ITSim
Volume	3

Conference

Conference	International Symposium on Information Technology 2008, ITSim
Country/Territory	Malaysia
City	Kuala Lumpur
Period	26/08/08 → 29/08/08

Access to Document

10.1109/ITSIM.2008.4631875

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 Article 4631875 (Proceedings - International Symposium on Information Technology 2008, ITSim; Vol. 3). https://doi.org/10.1109/ITSIM.2008.4631875

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title = "Survey of image compression algorithms in wireless sensor networks",

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.",

author = "Li, {Wern Chew} and Ang, {Li Minn} and Kah, {Phooi Seng}",

year = "2008",

doi = "10.1109/ITSIM.2008.4631875",

language = "English",

isbn = "9781424423286",

series = "Proceedings - International Symposium on Information Technology 2008, ITSim",

booktitle = "Proceedings - International Symposium on Information Technology 2008, ITSim",

note = "International Symposium on Information Technology 2008, ITSim ; Conference date: 26-08-2008 Through 29-08-2008",

}

Li, WC, Ang, LM & Kah, PS 2008, Survey of image compression algorithms in wireless sensor networks. in Proceedings - International Symposium on Information Technology 2008, ITSim., 4631875, Proceedings - International Symposium on Information Technology 2008, ITSim, vol. 3, International Symposium on Information Technology 2008, ITSim, Kuala Lumpur, Malaysia, 26/08/08. https://doi.org/10.1109/ITSIM.2008.4631875

Survey of image compression algorithms in wireless sensor networks. / Li, Wern Chew; Ang, Li Minn; Kah, Phooi Seng.
Proceedings - International Symposium on Information Technology 2008, ITSim. 2008. 4631875 (Proceedings - International Symposium on Information Technology 2008, ITSim; Vol. 3).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

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Survey of image compression algorithms in wireless sensor networks

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