Improved quadtree decomposition recomposition algorithm for fractal image compression

被引：1
|
作者：
Mahmoud, WH [1 ]
Jackson, DJ [1 ]
机构：
[1] Tennessee Technol Univ, Dept Elect & Comp Engn, Cookeville, TN 38505 USA
来源：
IEEE SOUTHEASTCON '99, PROCEEDINGS | 1999年
关键词：
D O I：
10.1109/SECON.1999.766136
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
ln this paper, we present a fractal image compression algorithm that combine aspects of the classical quadtree decomposition (QD) scheme and the quadtree recomposition scheme (QR) proposed by the authors in earlier papers. For all types of images, the new approach exhibits a superior runtime performance, when compared to both the QD and QR schemes, while maintaining high fidelity for compressed images. Quantitative results that include the attained compression ratio, signal-to-noise ratio (SNR), and runtime performance are presented.
引用
收藏
页码：258 / 263
页数：6
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