傅里叶变换
相位恢复
离散时间傅里叶变换
加权
计算机科学
相位相关
分辨率(逻辑)
光学
光圈(计算机存储器)
相(物质)
迭代重建
算法
人工智能
计算机视觉
傅里叶分析
分数阶傅立叶变换
物理
数学
数学分析
量子力学
声学
作者
James R. Fienup,A. M. Kowalczyk
标识
DOI:10.1364/josaa.7.000450
摘要
It is difficult to reconstruct an image of a complex-valued object from the modulus of its Fourier transform (i.e., retrieve the Fourier phase) except in some special cases. By using additionally a low-resolution intensity image from a telescope with a small aperture, a fine-resolution image of a general object can be reconstructed in a two-step approach. First the Fourier phase over the small aperture is retrieved, using the Gerchberg–Saxton algorithm. Then that phase is used, in conjunction with the Fourier modulus data over a large aperture together with a support constraint on the object, to reconstruct a fine-resolution image (retrieve the phase over the large aperture) by the iterative Fourier-transform algorithm. The second step requires a modified algorithm that employs an expanding weighting function on the Fourier modulus.
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