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Image coding using wavelet transforms and vector quantization with error correction

Published online by Cambridge University Press:  01 March 1999

H. Zenkouar  and
A. Nachit
H. Zenkouar
Affiliation:
Moulay Ismail University, Faculty of Sciences, L.E.T.I. Department of Physics, B.P.: 4010 Béni M'hamed, Méknès (Morocco)
A. Nachit
Affiliation:
Moulay Ismail University, Faculty of Sciences, L.E.T.I. Department of Physics, B.P.: 4010 Béni M'hamed, Méknès (Morocco)
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Abstract

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Image compression is essential for applications such as transmission of databases, etc. In this paper, we propose a new scheme for image compression combining recursive wavelet transforms with vector quantization. This method is based on the Kohonen Self-Organizing Maps (SOM) which take into account features of a visual system in both space and frequency domains.

Keywords

Recursive waveletHierarchical decompositionMultiscale pyramidal algorithmVector quantizationProgressive transmissionNeural networkKNN algorithmError correction
Type
Technical Note
Information
Robotica , Volume 17 , Issue 2 , March 1999 , pp. 219 - 227
Copyright
© 1998 Cambridge University Press