| 基于小波变换的多分辨率图像转换 |
| |
| 引用本文： | 李永忠.基于小波变换的多分辨率图像转换[J].江苏科技大学学报(社会科学版),2005,19(6):50-53. |
| |
| 作者姓名： | 李永忠 |
| |
| 作者单位： | 江苏科技大学电子信息学院,江苏,镇江,212003 |
| |
| 基金项目： | 江苏科技大学资助课题（校编2005DX006J） |
| |
| 摘 要： | 为适应不同设备、不同信道和不同应用的要求，数字图像处理中需要改变图像的空间分辨率。传统的改变图像空间分辨率的办法是抽取和线性插值。本文基于小波分析提出由高分辨率图像可得到各种较低分辨率图像的多分辨方法符合人的视觉系统特性。为了提高图像的空间分辨率，本文根据小波子带间的相关性等特点，提出由低分辨率的高频细节预测高分辨率的高频细节方法，从理论分析到实验结果，均表明本文方法是可行的，而且优于传统的方法。
|
| 关 键 词： | 数字图像 图像分辨率 小波变换 |
| 文章编号： | 1673-4807（2005）06-0050-04 |
| 收稿时间： | 2005-04-08 |
| 修稿时间： | 2005年4月8日 |
Transition of Multiresolution Images Based on Wavelet Transform |
| |
| LI Yongzhong.Transition of Multiresolution Images Based on Wavelet Transform[J].Journal of Jiangsu University of Science and Technology:Natural Science Edition,2005,19(6):50-53. |
| |
| Authors: | LI Yongzhong |
| |
| Institution: | School of Electronics and Information, Jiangsu University of Science and Technology, Zhenjiang Jiangsu 212003, China |
| |
| Abstract: | It is usually necessary to change the image resolution for different purpose in digital image processing. The traditional method is decimation and linear interpolation. The multiresolution image representation based on the wavelet analysis is introduced. By this way, the image resolution can be decreased in keeping with the human visual system characteristic. Based on the relativity among the wavelet subbands, the details of the higher resolution image can be predicted according to the details of the lower resolution image. Higher resolution image is then obtained by the wavelet synthesis. Experiment results show that the scheme is feasible and better than conventional algorithm. |
| |
| Keywords: | digital image image resolution wavelet transform |
| 本文献已被 维普 万方数据 等数据库收录！ |
