| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 9653401 | Neurocomputing | 2005 | 9 Pages |
Abstract
A novel matrix K-L transform (MatKLT) is proposed as an extension to the conventional Karhunen-Loeve transform (K-L) transform (KLT) in this paper for fast image compression. Experimental results on 18 publicly available benchmark images show that the MatKLT is tens to hundreds times faster than standard KLT with comparable image compression quality.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Daoqiang Zhang, Songcan Chen,