稀疏孔径系统的成像和图像复原  

Image recovering for sparse-aperture systems

作　　者：吴泉英[1] 钱霖[2] 沈为民[2] 

机构地区：[1]苏州科技学院实验中心,苏州215006 [2]苏州大学江苏省现代光学技术重点实验室

出　　处：《激光杂志》2005年第6期40-42,共3页Laser Journal

基　　金：江苏省自然科学基金项目(BK2004202)资助;教育部博士学科点基金项目(20040285001)资助;江苏省现代光学技术重点实验室开放课题(T8108030)资助

摘　　要：介绍复合三子镜和Golay6稀疏孔径系统的结构和调制传递函数(MTF),给出复合三子镜的MTF解析表达式,分析和比较两种稀疏孔径系统的MTF分布,并计算它们在不同填充因子下对应的最大截止频率和等效直径,并对复合三子镜和Golay6稀疏孔径系统进行模拟成像。MTF分析和模拟成像结果表明:稀疏孔径系统由于通光面积减少,在截止频率区域内MTF明显下降,图像清晰度下降。因此,图像复原是稀疏孔径系统的关键环节。进一步阐述Wiener滤波图像复原的原理,并给出应用修正Wiener滤波技术进行加噪图像复原的结果。The sparse- aperture configurations of dual three sub - apertures and Golay6 are introduced. Their corresponding Modulation Transfer Functions （MTF） have been described and compared with each other.The MTF analytical formulas of dual three sub- apertures is given out. The maximal cut - off frequencies and effective diameters of dual three sub - apertures and Golay6 are calculated under different fill factors. This study also generates image simulation for dual three sub - apertures and Golay6. The images of sparse- aperture systems become blurcy because of the MTF loss, and it is also expounded through image simulation It is a key aspect to recover images for sparse - aperture aperture. The principle of image recovering with Wiener filter is presented, and the modified Wiener filtering method has been shown to restore the images with noise.

关 键 词：空间遥感 稀疏孔径 调制传递函数 图像复原 

分 类 号：O436.1[机械工程—光学工程]