Phase Retrieval for a Complex-Valued Object Using a Low-Resolution Image

J. Fienup, A. Kowalczyk
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引用次数: 99

Abstract

Phase retrieval from a single Fourier intensity distribution is very difficult for complex valued objects unless the object has a support that is very well known, has a special type of support, or has strong glints [1-3]. In this paper we show that even the most difficult types of complex objects can be reconstructed if one has a very low-resolution intensity image of the object to supplement the Fourier intensity data.
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基于低分辨率图像的复值目标相位检索
从单一傅立叶强度分布中提取相位对于复杂值对象来说是非常困难的,除非该对象具有众所周知的支持,具有特殊类型的支持,或者具有强烈的闪烁[1-3]。在本文中,我们表明,即使是最困难的类型的复杂对象可以重建,如果一个人有一个非常低分辨率的强度图像的对象,以补充傅里叶强度数据。
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