Entropy-Constrained Multiresolution Vector Quantisation for Image Coding

Authors:
Leszek Cieplinski
Affiliations:
(Correspd.) Centre for Vision, Speech and Signal Processing, School of Electronic Engineering, Information Technology and Mathematics, University of Surrey, Guildford, United Kingdom. L.Cieplinski ...
Venue:
Fundamenta Informaticae
Year:
1998

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Abstract

A new image coding scheme based on multiresolution image representation and entropy-constrained vector quantisation is proposed. The proposed technique is evaluated using a series of images. The results show a performance improvement over the previously proposed multiresolution scheme at relatively high bitrates. The reasons for worse performance at low bitrates are discussed.