Conference paper

BAŘINA David. Still Image Compression Using Wavelets and SPIHT Algorithm. In: Proceedings of the 15th Conference STUDENT EEICT 2009. Brno: Brno University of Technology, 2009, pp. 218-220. ISBN 978-80-214-3868-2.
Publication language:czech
Original title:Still Image Compression Using Wavelets and SPIHT Algorithm
Title (en):Still Image Compression Using Wavelets and SPIHT Algorithm
Pages:218-220
Proceedings:Proceedings of the 15th Conference STUDENT EEICT 2009
Conference:Student EEICT 2009
Series:Volume 2
Place:Brno, CZ
Year:2009
ISBN:978-80-214-3868-2
Publisher:Brno University of Technology
URL:http://www.feec.vutbr.cz/EEICT/2009/sbornik/02-Magisterske%20projekty/08-Grafika%20a%20multimedia/01-xbarin02.pdf [PDF]
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Keywords
wavelet, image compression, SPIHT
Annotation
The subject of this contribution is to demonstrate the procedure of lossy image compression with respect to the low computational complexity. It is a combination of proven methods.
Abstract
This paper deals with modern methods of a lossy image compression. One of these methods is a wavelet transform. There are Daubechies wavelets used in this work. The transform is computed using quadrature mirror filter banks. To an output of this transform is often applied a SPIHT algorithm which transforms wavelet coeficients into a bit stream.
BibTeX:
@INPROCEEDINGS{
   author = {David Ba{\v{r}}ina},
   title = {Still Image Compression Using Wavelets and SPIHT Algorithm},
   pages = {218--220},
   booktitle = {Proceedings of the 15th Conference STUDENT EEICT 2009},
   series = {Volume 2},
   year = {2009},
   location = {Brno, CZ},
   publisher = {Brno University of Technology},
   ISBN = {978-80-214-3868-2},
   language = {czech},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=9062}
}

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