| 一种新的超分辨率图像重建算法 |
| |
| 引用本文： | 李黎明,贾平.一种新的超分辨率图像重建算法[J].海军工程大学学报,2009,21(1). |
| |
| 作者姓名： | 李黎明 贾平 |
| |
| 作者单位： | 1. 海军兵种指挥学院,作战指挥系,广州,510430
2. 湖南大学,电气与信息工程学院,长沙,410082 |
| |
| 摘 要： | 首先将低分辨率及相应高分辨率图像进行非下采样Contourlet变换得到细节图像对,然后通过多任务学习估计细节图像之间的映射参数对低分辨率图像进行重建.实验结果表明,该方法能够取得比传统线性插值、双三次方法更好的效果.
|
| 关 键 词： | 非下采样Contourlet变换 多任务学习 超分辨率图像重建 |
A new algorithm of image super-resolution reconstruction |
| |
| LI Li-ming,JIA Ping.A new algorithm of image super-resolution reconstruction[J].Journal of Naval University of Engineering,2009,21(1). |
| |
| Authors: | LI Li-ming JIA Ping |
| |
| Institution: | 1.Dept.of Operation Command;Naval Arms Command Academy;Guangzhou 510430;China;2.College of Electrical and Information Engineering;Hunan Univ.;Changsha 410082;China |
| |
| Abstract: | The nonsubsampled contourlet transform is an analytical tool for image with the properties of multi-resolution,multi-direction and translation invariance.Multi-task learning,also called multi-output learning,is of high precision and good anti-noice capability based on the consideration of the relationship among tasks.The low resolution image and the corresponding high resolution image were firstly decomposed into nonsubsampled contourlet transform domain.Then the map parameters were estimated by multi-task ... |
| |
| Keywords: | nonsubsampled Contourlet transform multi-task learning image super-resolution reconstruction |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
