Improved wiener filter super-resolution algorithm for passive millimeter wave imaging
The problem of poor resolution of acquired image in the passive millimeter wave imaging stems mainly from antenna size limitations，thus necessitating some efficient post-processing to achieve resolution improvements. In this paper, we propose an improved wiener filter super-resolution algorithm. The algorithm uses iterative process of incremental wiener filter in wavelet threshold shrinkage to remove noise and increase the restored image information. Experimental results demonstrate the algorithm enhances the resolution and reduces the ringing effects which are caused by regularizing the image restoration problem. Furthermore, the algorithm is easily implemented for passive millimeter wave imaging．
wiener filter Passive millimeter wave imaging super-resolution
Kang Zhao Jianguo Wang
School of Electronic Engineering, University of Electronic Science and Technology of China，Chengdu，China
国际会议
2011 IEEE CIE International Conference on Radar(2011年IEEE国际雷达会议RADAR 2011)
成都
英文
1768-1771
2011-10-24（万方平台首次上网日期，不代表论文的发表时间）