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First International Conference on Innovative Computing, Information and Control - Volume I (ICICIC'06)
An Efficient Euclidean Distance Estimation Scheme for Accelerating VQ Encoding
Beijing, China
August 30-September 01
ISBN: 0-7695-2616-0
Chin-Chen Chang, Feng Chia University, Taiwan
Kuo-Lung Hung, Chaoyang University of Technology, Taiwan
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 are considered.
Citation:
Chin-Chen Chang, Kuo-Lung Hung, "An Efficient Euclidean Distance Estimation Scheme for Accelerating VQ Encoding," icicic, vol. 1, pp.194-196, First International Conference on Innovative Computing, Information and Control - Volume I (ICICIC'06), 2006
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