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
|Date Deposited:||12 Dec 2002|
|Last Modified:||27 Mar 2014 19:59|
|Further Information:||Google Scholar|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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