Adaptive wavepacket decomposition and quantization in wavelet-based image coding

TitleAdaptive wavepacket decomposition and quantization in wavelet-based image coding
Publication TypeConference Paper
Year of Publication1995
AuthorsMandal, M. K., T. Aboulnasr, and S. Panchanathan
Conference NameCircuits and Systems, 1995., Proceedings., Proceedings of the 38th Midwest Symposium on
Pagination1122 -1126 vol.2
Date Publishedaug.
Keywordsadaptive codes, adaptive wavepacket decomposition algorithm, data compression, image coding, image compression, multiresolution signal representation, quantisation (signal), scalar quantization, wavelet transform, wavelet transforms
Abstract

Wavelet transform has recently emerged as a promising technique for image compression due to its flexibility in multiresolution representation of image signals. Current wavelet-based image compression techniques use compute intensive procedures for finding the optimal wave-packet decomposition and coefficient quantization for a given image. In this paper, we first propose an efficient wavepacket decomposition algorithm. We then propose a simple technique for finding quantization step-sizes in various wavelet bands when scalar quantization is employed. The proposed techniques provide a good coding performance at a substantially reduced complexity

URLhttp://dx.doi.org/10.1109/MWSCAS.1995.510293
DOI10.1109/MWSCAS.1995.510293

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