Yuen, H, Li, Y and Hanzo, L
Efficient Variable Rate Vector Quantisation using Quadtree Segmentation
29 Apr - 03 May 1995.
This is the latest version of this item.
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.
Conference or Workshop Item
||Event Dates: 29 April - 3 May 1995 Organisation: ISCAS'95
|Venue - Dates:
||ISCAS'95, 1995-04-29 - 1995-05-03
||Southampton Wireless Group
||12 Dec 2002
||17 Apr 2017 22:55
|Further Information:||Google Scholar|
Available Versions of this Item
Efficient Variable Rate Vector Quantisation using Quadtree Segmentation (deposited 12 Dec 2002)
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