Image compression using subband wavelet decomposition and DCT-based quantization

Authors:
M. Addouche;F. Z. Nacer;R. Yahiaoui
Affiliations:
Femto-ST Institute, LPMO Dept., Besançon cedex, France;Femto-ST Institute, LPMO Dept., Besançon cedex, France;Ecole Centrale d'Electronique, Paris
Venue:
MUSP'06 Proceedings of the 6th WSEAS international conference on Multimedia systems & signal processing
Year:
2006

Citing 6
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Abstract

The aim of this work is to evaluate the performance of an image compression system based on wavelet-based subband decomposition. The compression method used in this paper differs from the classical procedure in the direction where the scalar quantization of the coarse scale approximation sub-image is replaced by a discrete cosine transform (DCT) based quantization. The images were decomposed using wavelet filters into a set of subbands with different resolutions corresponding to different frequency bands. The resulting high-frequency subbands were vector quantized according to the magnitude of their variances. The coarse scale approximation sub-image is quantized using scalar quantization and then using DCT-base quantization to show the benefit of this new optional method in term of CPU computational cost vs restitution quality.