Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/24251
Title: Transform-based fine-coarse vector quantization
Authors: Lam, KM 
Siu, WC 
Tse, KM
Issue Date: 1993
Publisher: IEEE
Source: Proceedings - IEEE International Symposium on Circuits and Systems, 1993, v. 1, p. 671-674 How to cite?
Abstract: Fine-coarse vector quantization (FCVQ) is a fast method for searching an unstructured vector quantization codebook. This approach imposes slight distortion to the image and requires substantially large storage. The storage requirement restricts the dimension of the vector blocks hence the performance of this quantization scheme. In this paper, the FCVQ is designed in the transform domain (FCVQ-TB) to provide a possible solution to the problem on memory requirement. Experiments are given to evaluate the performance of the FCVQ-TB.
Description: 1993 IEEE International Symposium on Circuits and Systems, Chicago, IL, USA, 3-6 May 1993
URI: http://hdl.handle.net/10397/24251
ISBN: 0-7803-1281-3
ISSN: 0271-4310
Appears in Collections:Conference Paper

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