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Efficient Variable Rate Vector Quantisation using Quadtree Segmentation

Record type: Conference or Workshop Item (Paper)

Variable rate vector quantization (VQ) using greedy tree growing algorithm has been used in image compression. In previous work, images have been partitioned into fixed size blocks and therefore correlation existing in large variable size blocks can not be exploited. In this paper, a new and efficient variable rate vector quantization scheme using variable block sizes is introduced. Simulation results show that the proposed scheme which is based on variable block size quadtree segmentation can achieve better performance than the fixed block size variable rate VQ.

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Citation

Yuen, H, Li, Y and Hanzo, L (1995) Efficient Variable Rate Vector Quantisation using Quadtree Segmentation At ISCAS'95. 29 Apr - 03 May 1995. , pp. 1636-1639.

More information

Published date: April 1995
Additional Information: Event Dates: 29 April - 3 May 1995 Organisation: ISCAS'95
Venue - Dates: ISCAS'95, 1995-04-29 - 1995-05-03
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 257095
URI: http://eprints.soton.ac.uk/id/eprint/257095
PURE UUID: d49375b4-b31e-4615-9dfb-935c02ad1603

Catalogue record

Date deposited: 12 Dec 2002
Last modified: 18 Jul 2017 09:41

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Contributors

Author: H Yuen
Author: Y Li
Author: L Hanzo

University divisions

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