| 一种基于全变差模型的欠采样图像重构方法 |
| |
| 引用本文： | 杨 扬,刘 哲,张 萌. 一种基于全变差模型的欠采样图像重构方法[J]. 红外与毫米波学报, 2012, 31(2): 153-158 |
| |
| 作者姓名： | 杨 扬 刘 哲 张 萌 |
| |
| 作者单位： | 西北工业大学理学院,陕西西安,710072 |
| |
| 基金项目： | 国家自然科学基金(61071170),教育部新世纪优秀人才支持计划。 |
| |
| 摘 要： | 基于全变差范数最小化模型，构造了一种新的图像重构算法；利用欠采样域内的融合信息，结合构造的图像重构算法，提出了一种基于压缩感知理论的图像融合模型.数值实验表明,构造的重构算法与传统算法相比，在一定程度上减少了所需的采样数量；提出的融合模型对多类图像具有较优的融合效果.
|
| 关 键 词： | 压缩感知；全变差；图像重构；图像融合 |
| 收稿时间： | 2011-04-19 |
| 修稿时间： | 2011-12-12 |
A new undersampling image reconstruction method based on total variation model |
| |
| YANG Yang,LIU Zhe and ZHANG Meng. A new undersampling image reconstruction method based on total variation model[J]. Journal of Infrared and Millimeter Waves, 2012, 31(2): 153-158 |
| |
| Authors: | YANG Yang LIU Zhe ZHANG Meng |
| |
| Affiliation: | School of Science, Northwestern Polytechnical University,School of Science, Northwestern Polytechnical University and School of Science, Northwestern Polytechnical University |
| |
| Abstract: | A new image reconstruction algorithm was proposed based on the TV norm minimization model. Then using the under sampling fusion information, combined with the image reconstruction algorithm, a fusion model based on compressed sensing is proposed. Numerical results show that the proposed image reconstruction method can reduce the sampling number required to some extent compared with the traditional algorithm. The proposed fusion model has good performance for many kinds of images. |
| |
| Keywords: | compressed sensing total variation image reconstruction image fusion |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
| 点击此处可从《红外与毫米波学报》浏览原始摘要信息 |
|
点击此处可从《红外与毫米波学报》下载全文 |
|
