An Efficient Euclidean Distance Estimation Scheme for Accelerating VQ Encoding

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题名:	An Efficient Euclidean Distance Estimation Scheme for Accelerating VQ Encoding
作者:	Chang, C. C.;Hung, K. L
日期:	2006-08
上传时间:	2010-01-29 06:39:53 (UTC+0)
出版者:	Asia University
摘要:	Accelerating the calculation of squared Euclidean distances (SED), especially in VQ, is a topic of intensive research. This paper presents a new scheme to speed up this calculation called the compact look-up table (CLUT) method. This method employs a small table and some simple operations to speed up the calculation of SED. The experimental results show that our method takes up a very small amount of extra memory without causing a deterioration in the quality of the image compared with previous methods. In addition, CLUT also provides a very flexible solution for different design strategies when the trade-offs between cost and performance is considered
關聯:	The 2006 International Conference on Innovative Computing, Information and Control (ICICIC2006), v. 1 , pp. 194-196 , 2006-08. Beijing, China.
显示于类别:	[資訊工程學系] 會議論文

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