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Compressed sensing-based FPM (Fourier ptychographic microscopy) algorithm

A technology of compressed sensing and algorithms, applied in computing, image data processing, instruments, etc., can solve the problems of small magnification of observed objects and narrowed field of view, and achieve the effect of improving the reconstruction effect

Active Publication Date: 2014-12-10
SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
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Problems solved by technology

Common optical imaging platforms are limited by the space bandwidth product, that is, if we observe a wider field of view, the magnification of the observed object will be small; on the contrary, if the magnification of the observed object is relatively large, then the range of the field of view will shrink

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  • Compressed sensing-based FPM (Fourier ptychographic microscopy) algorithm

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Embodiment Construction

[0019] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0020] figure 1 shows the FPM platform used by some embodiments, figure 2 The programmable LED array used by the FPM platform is shown. refer to Figure 1-2 , the FPM platform includes a microscope, the microscope is provided with a camera (i.e. an imaging device), the light source of the microscope adopts a programmable LED array, the scale of the LED array is 32X32, and the distance between two adjacent LEDs of the LED array is 4mm. The distance between the array and the stage is generally chosen to be 7-8 cm. Depend on figure 1 It can be seen that the FPM platform is mainly based on the microscope. Compared with the traditional microscope, a programmable LED array is placed at the position of the light source to replace the original light source.

[0021] In some embodiments, the FPM algorithm based on compressed sensing comprises the following...

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Abstract

Disclosed is a compressed sensing-based FPM algorithm. The algorithm comprises the steps of 1) utilizing an FPM platform to collect a low-resolution image ri (x, y) under different illuminations; 2) based on images obtained under illumination of different angles, actually, obtained by translating images under normal illumination in a frequency domain, establishing a constraint for the collected image ri (x, y), and based on the constraint, solving the optimization problem of an optimal problem according to a compressed sensing structure; 3) solving the optimization problem through iteration to obtain a sparse coefficient a, and multiplying the a with an over-complete dictionary to obtain a final result. According to the compressed sensing-based FPM algorithm, by taking advantage of the compressed sensing technology, mathematical abstraction is performed on an original FPM algorithm, a frequency domain iteration method is abstracted into an optimal solution solving method, the image super-resolution reconstruction problem is solved from a new angle, and the algorithm reconstruction effects can be enhanced.

Description

technical field [0001] The invention belongs to the fields of microscopic imaging, computer vision, and computer graphics, especially the field of stereographics, and particularly relates to a technique for image super-resolution reconstruction using a compressed sensing-based FPM algorithm. technical background [0002] As a new sampling theory, compressed sensing uses random sampling to obtain discrete samples of the signal by exploiting the sparse characteristics of the signal, and then perfectly reconstructs the signal through a nonlinear reconstruction algorithm when the sampling frequency is much smaller than that of Nyquist. The proposal of this theory abandons the redundant information of the signal, and has been widely used in the fields of information theory, image processing, optical imaging and pattern recognition. [0003] Fourier ptychographic microscopy (FPM) is an image super-resolution reconstruction method based on a microscope platform, which can effective...

Claims

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Application Information

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IPC IPC(8): G06T5/50
Inventor 张永兵蒋伟鑫戴琼海
Owner SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
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