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线阵CCD相机MTF的系统模型估计法与图像复原 被引量:5

MTF estimation based on system model for linear CCD camera and image recovery
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摘要 线阵推扫CCD图像在获取与传输过程中产生退化。针对其复原问题,从图像降质机理的角度,提出用系统模型法估计MTF,并使用维纳滤波、Lucy-Richardson迭代法等方法对大气状况较好时的实验图像进行复原,采用复原图像的MTF曲线和MTFA(MTF area)等指标评价复原图像质量,并与从图像上提取PSF的图像估计法进行比较。实验结果表明,系统模型法能够更简便、准确地估计出MTF,进而取得良好的复原效果。 Linear push-broom CCD images degrade in the process of image acquisition and transmission. From the viewpoint of the mechanism of image degradation, a MTF estimation method based on system model is advanced and used to restore the degraded images. Wiener filtering and Lucy-Richardson iterations recovery algorithm are performed afterwards on images in good air condition. MTF curve of restored image and the MTF area are adopted to evaluate the quality of the image recovered. Compared with the PSF-derived method from image, the MTF estimation based on system model is proved to be simple and convenient. Finally nicer restoration result is acquired.
出处 《光学技术》 CAS CSCD 北大核心 2009年第3期394-398,共5页 Optical Technique
基金 国家高技术研究发展863计划项目(No.2007AA701214)
关键词 线阵推扫CCD MTF估计 系统模型法 图像复原 linear push-broom CCD MTF estimation sys'cem model image restoration
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