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利用凸投影从图像平面阵列中恢复高分辨率图像。

High-resolution image recovery from image-plane arrays, using convex projections.

作者信息

Stark H, Oskoui P

机构信息

Department of Electrical and Computer Engineering, Illinois Institute of Technology, Chicago 60616.

出版信息

J Opt Soc Am A. 1989 Nov;6(11):1715-26. doi: 10.1364/josaa.6.001715.

DOI:10.1364/josaa.6.001715
PMID:2585170
Abstract

We consider the problem of reconstructing remotely obtained images from image-plane detector arrays. Although the individual detectors may be larger than the blur spot of the imaging optics, high-resolution reconstructions can be obtained by scanning or rotating the image with respect to the detector. As an alternative to matrix inversion or least-squares estimation [Appl. Opt. 26, 3615 (1987)], the method of convex projections is proposed. We show that readily obtained prior knowledge can be used to obtain good-quality imagery with reduced data. The effect of noise on the reconstruction process is considered.

摘要

我们考虑从图像平面探测器阵列重建远程获取图像的问题。尽管单个探测器可能大于成像光学系统的模糊斑,但通过相对于探测器扫描或旋转图像,可以获得高分辨率重建。作为矩阵求逆或最小二乘估计[《应用光学》26, 3615 (1987)]的替代方法,我们提出了凸投影方法。我们表明,容易获得的先验知识可用于以减少的数据量获得高质量图像。同时考虑了噪声对重建过程的影响。

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