Fast image compression using matrix K-L transform
نویسندگان
چکیده
Daoqiang Zhang, Songcan Chen * Department of Computer Science and Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, P.R. China. Abstract: A novel matrix K-L transform (MatKLT) is proposed as an extension to the conventional 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.
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عنوان ژورنال:
- Neurocomputing
دوره 68 شماره
صفحات -
تاریخ انتشار 2005