| 一种新的多聚焦图像融合算法 |
| |
| 引用本文： | 狄改霞,郭宝龙.一种新的多聚焦图像融合算法[J].计算机测量与控制,2009,17(7). |
| |
| 作者姓名： | 狄改霞 郭宝龙 |
| |
| 作者单位： | 西安电子科技大学智能控制与图像工程研究所,陕西,西安,710071 |
| |
| 基金项目： | 国家高技术研究发展计划(863计划)，国家自然科学基金，陕西省自然科学基金 |
| |
| 摘 要： | 提出了一种基于小波-Contourlet变换的多聚焦图像融合算法;该算法首先采用小波-Contourlet变换对源图像进行多尺度分解,得到高频和低频图像;接着根据高、低频分量各自的区域特性,采用不同的融合规则进行处理,得到小波-Contourlet变换域的融合系数,最后通过反变换得到融合图像;采用信息熵、标准差和互信息3个评价标准,将该算法和传统的小波算法和Contourlet算法的融合结果进行了比较;实验结果表明,该算法获得的评价指标都优于其它算法,且融合图像较好地从源图像中提取了有用信息,提高了融合质量.
|
| 关 键 词： | 多聚焦图像 小波-Contourlet变换 区域特性 |
New Multi-Focus Image Fusion Algorithm |
| |
| Di Gaixia,Guo Baolong.New Multi-Focus Image Fusion Algorithm[J].Computer Measurement & Control,2009,17(7). |
| |
| Authors: | Di Gaixia Guo Baolong |
| |
| Affiliation: | Institute of Intelligent Control and Image Engineering;Xidian University;Xi'an 710071;China |
| |
| Abstract: | A new multi-focus image fusion algorithm based on wavelet based contourlet is proposed.Firstly,multi-scale decomposition is performed on source images using wavelet based contourlet transform to get high-frequency and low-frequency images.And then,according to the different region statistics between high-frequency and low-frequency,the fused coefficients in wavelet based contourlet domain are obtained by using different fusion rules.Finally,the inverse wavelet based contourlet transform is utilized to obtai... |
| |
| Keywords: | multi-focus image wavelet based contourlet transform region statistics |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
