Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10363627 | Signal Processing: Image Communication | 2005 | 24 Pages |
Abstract
In this paper, LBGS, a new parallel/distributed technique for Vector Quantization is presented. It derives from the well known LBG algorithm and has been designed for very complex problems where both large data sets and large codebooks are involved. Several heuristics have been introduced to make it suitable for implementation on parallel/distributed hardware. These lead to a slight deterioration of the quantization error with respect to the serial version but a large improvement in computing efficiency.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Giuseppe Campobello, Mirko Mantineo, Giuseppe Patanè, Marco Russo,