Efficient Variable Rate Vector Quantisation using Quadtree Segmentation

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

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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.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Event Dates: 29 April - 3 May 1995 Organisation: ISCAS'95
Divisions : Faculty of Physical Sciences and Engineering > Electronics and Computer Science > Southampton Wireless Group
ePrint ID: 257095
Accepted Date and Publication Date:
April 1995Published
Date Deposited: 12 Dec 2002
Last Modified: 31 Mar 2016 13:57
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/257095

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