A Fourier Stack Imaging Image Reconstruction Method Based on Phase Iterative Minimization

Abstract

The invention belongs to the technical field of a Fourier ptychographic microscopy, and especially relates to a phase iteration minimization based Fourier laminate imaging image reconstruction method.The method includes the following steps: S1, generating a series of amplitude sub-images corresponding to low-resolution sub images; S2, obtaining reconstruction algorithm parameters, the parametersincluding the positions of frequency spectrums generated by each low-resolution sub image in high-resolution reconstruction spectrums, pupil functions, etc., and building the relation between the low-resolution sub images and high-resolution reconstruction images; S3, taking phase recovery as one of optimization targets, generating a target function for image reconstruction target optimization, performing solving through iterative minimization, and obtaining frequency spectrums of a high-resolution reconstruction image; and S4, performing Fourier inverse transformation on the frequency spectrums of the high-resolution reconstruction image, using the models of results as the images after high-resolution reconstruction. The method performs the high-resolution image reconstruction by using the low-resolution sub images with the same numbers, and therefore, better reconstruction intensity image quality can be achieved.

Description

Technical field [0001] The invention belongs to the technical field of Fourier stacked imaging, and specifically relates to a Fourier stacked imaging image reconstruction method based on phase iteration minimization. Background technique [0002] Since the birth of the first microscope to the present, optical microscopy imaging technology has developed rapidly, and people's requirements for image quality have become higher and higher. People hope to obtain both high-resolution images and a large field of view. However, in ordinary optical imaging equipment, the field of view and magnification cannot be combined. A large field of view will inevitably lead to insufficient magnification. Although the larger appearance of the object can be observed, the finer part of the object cannot be seen clearly; on the contrary, the high magnification will inevitably lead to a too small field of view, which is not conducive to observing the appearance of the object. In theory, increasing the n...

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Problems solved by technology

[0005] The present invention proposes a Fourier stack imaging image reconstruction method based on phase iteration minimization, which belongs to the Fourier stack imaging method and solves the problem of how to obtain a series of low-resolution images in Fourier stack imaging. The problem of efficiently reconstructing high-resolution images from images can be applied to various Fourier stack imaging systems

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