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.
|Title of host publication||Proceedings - International Symposium on Information Technology 2008, ITSim|
|Publication status||Published - 12 Dec 2008|
|Event||International Symposium on Information Technology 2008, ITSim - Kuala Lumpur, Malaysia|
Duration: 26 Aug 2008 → 29 Aug 2008
|Conference||International Symposium on Information Technology 2008, ITSim|
|Period||26/08/08 → 29/08/08|