摘要
为了增强无源毫米波图像的分辨率,提出了一种图像空间重构(ISRA)频域校正超分辨算法。使用Wiener滤波复原算法恢复图像通带内的频谱分量,运用IS-RA算法实现频谱外推,通过一种频域校正算法,用Wiener滤波器恢复的频谱代替通带内的频谱,保证图像的低频分量不被破坏。为了验证新算法的有效性,针对合成图像和由91.5 GHz单通道辐射计进行二维机械扫描获取的手枪图像完成了两个实验。实验结果表明:新算法改善了收敛速度,增强了图像的分辨率,同时能够有效地减轻恢复图像中的振铃波纹,有利于无源毫米波成像超分辨的实现。
In order to improve the resolution of passive millimeter wave images, a super-resolution algorithm based on image space reconstruction algorithm （ISRA） and frequency domain correction is proposed in this paper. First, the passband spectrum is restored by Wiener filter. Then, spectral extrapolation is implemented using ISRA algorithm. Lastly, a spatial spectrum correction scheme in which the calculated spectrum within the passband is replaced by the low frequency component restored by Wiener filter guarantee the low-frequency component is not to be destroyed. A qualitative evaluation of this algorithm is performed with simulated data as well as actual gun image captured by 91.5 GHz mechanically scanned radiometer. Experimental results demonstrate the algorithm improves the convergent rate and enhances the resolution and reduce the ringing effects which are caused by regularizing the image restoration problem. Furthermore, the modified ISRA algorithm is easily implemented for passive millimeter wave imaging.
出处
《电波科学学报》
EI
CSCD
北大核心
2008年第5期899-904,共6页
Chinese Journal of Radio Science
基金
国家自然科学资助项目(No.60632020)
