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|dc.identifier.citation||Smart structures, devices, and systems : 16-18 December 2002, Melbourne, Australia / Erol C. Harvey, Derek Abbott, Vijay K. Varadan, (eds.), pp. 427-435||en|
|dc.description||©2003 COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.||en|
|dc.description.abstract||The implementation of wavelets in differing areas of signal processing has been a popular research area over the last decade. However, utilising this technology in compressing two dimensional signals, such as digital images is relatively new. Wavelet compression has many distinct advantages over earlier compression methods, the most important of which is suitability to error protection as well as the ability to precisely truncate the compressed bitstream to achieve a desired bit rate for transmission. In this paper some of the recently emerging technologies pertaining to wavelet coding of images will be reviewed, particularly with the use of wireless channels. These developments include techniques to filter images that have been degraded through the addition of noise as well as reconstructing parts of images that have been lost as a result of the fading that characterises wireless mobile environments.||en|
|dc.description.statementofresponsibility||Dom Osborne, Derek Rogers, Jagan Mazumdar, Reg Coutts, and Derek Abbott||en|
|dc.relation.ispartofseries||Proceedings of SPIE--the International Society for Optical Engineering ; 4935||en|
|dc.title||An overview of wavelets for image processing for wireless applications||en|
|dc.contributor.conference||International Symposium on Smart Materials, Nano- and Micro-Smart Systems (2002 : Melbourne, Australia)||en|
|pubs.library.collection||Applied Mathematics publications||en|
|dc.identifier.orcid||Abbott, D. [0000-0002-0945-2674]||en|
|Appears in Collections:||Applied Mathematics publications|
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