多幅欠采样多色图像的相位检索

J. Fienup
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引用次数: 1

摘要

我们之前开发了梯度搜索相位恢复算法,并使用它们来确定哈勃太空望远镜的像差[1-4]。我们无法将这些算法应用于所有可用的数据,因为(i)我们的算法[3-4]要求点物体的图像具有窄光谱带宽,限制了我们使用通过窄带滤光片记录的图像;(ii)我们要求焦平面上的测量数据为奈奎斯特光场采样,限制了我们使用较长的波长和行星相机。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Phase Retrieval for Multiple Undersampled Polychromatic Images
We previously developed gradient-search phase-retrieval algorithms and used them to determine the aberrations of the Hubble Space Telescope [1-4]. We were not able to apply these algorithms to all the available data because (i) our algorithms [3-4] required that the images of point objects be of narrow spectral bandwidth, limiting us to using images recorded through narrowband optical filters, and (ii) we required that the measured data in the focal plane be Nyquist sampled for the optical fields, limiting us to the longer wavelengths and the Planetary Camera.
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