| 基于二元树复小波的图像超分辨率内插 |
| |
| 引用本文： | 袁小华,刘纯平,高秀梅,夏德深. 基于二元树复小波的图像超分辨率内插[J]. 计算机工程, 2006, 32(8): 26-28 |
| |
| 作者姓名： | 袁小华 刘纯平 高秀梅 夏德深 |
| |
| 作者单位： | 南京理工大学计算系603教研室,南京,210094;上海农科院农业信息化工程技术中心,上海,201106;苏州大学计算机科学与技术学院,苏州,215006;淮阴师范学院计算机科学系,淮安,223001;南京理工大学计算系603教研室,南京,210094 |
| |
| 基金项目： | 香港研究资助局资助项目;江苏省教育厅自然科学基金 |
| |
| 摘 要： | 在Nyugen N等的图像超分辨率小波内插的算法框架下，用二元树复小波变换代替实离散小波变换，使图像超分辨率小波内插能得到更好的高分辨率图像的拟台部分和更多方向的细节。算法分析和实验结果表明了该方法是对N．Nyugen等的图像超分辨率小波内插框架的进一步改进。
|
| 关 键 词： | 图像超分辨率小波内插 交错采样 二元树复小波变换 |
| 文章编号： | 1000-3428（2006）08-0026-03 |
| 收稿时间： | 2005-05-29 |
| 修稿时间： | 2005-05-29 |
Image Super-resolution Interpolation Based on Dual-tree Complex Wavelet Transformation |
| |
| YUAN Xiaohua,LIU Chunping,GAO Xiumei,XIA Deshen. Image Super-resolution Interpolation Based on Dual-tree Complex Wavelet Transformation[J]. Computer Engineering, 2006, 32(8): 26-28 |
| |
| Authors: | YUAN Xiaohua LIU Chunping GAO Xiumei XIA Deshen |
| |
| Affiliation: | 1. 603 Laboratory, Computer Department, Nanjing University of Science and Technology, Nanjing 210094; 2. Agricultural Information Engineering and Technology Center, Shanghai Academy of Agricultural Sciences, Shanghai 201106; 3. Computer Science and Technology College, Suzhou University, Suzhou 215006, 4. Dept. of Computer Science, Huaiyin Teachers College, Huaian 223001 |
| |
| Abstract: | Under the framework of image super-resolution wavelet interpolation proposed by Nyugen N and et al, by taking advantage of characters such as shift-invariance, better directive selection and effective computation of dual tree complex wavelet, a Q-shift version of dual tree complex wavelet is introduced, so as to obtain a better interpolated approximate image with much less artifacts and more directions of details. Algorithm analysis and results of tests on synthetic image series are also presented to show the improvements to the works of Nyugen N and et al. |
| |
| Keywords: | image super-resolution interpolation based on wavelet Interlaced sampling Dual tree complex wavelet transformation |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
