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An Image Super-Resolution Reconstruction Method Based on Nonlinear Optimization FPM Algorithm

A super-resolution reconstruction and non-linear optimization technology, which is applied in image enhancement, image data processing, calculation, 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: 2017-12-19
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 the observed field of view is relatively wide, the magnification of the observed object will be small; zoom out

Method used

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  • An Image Super-Resolution Reconstruction Method Based on Nonlinear Optimization FPM Algorithm
  • An Image Super-Resolution Reconstruction Method Based on Nonlinear Optimization FPM Algorithm
  • An Image Super-Resolution Reconstruction Method Based on Nonlinear Optimization FPM Algorithm

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Embodiment Construction

[0021] Below in conjunction with embodiment the present invention is further described.

[0022] The FPM platform used in the following examples includes a microscope, the microscope is provided with a camera (i.e. an imaging device), and the light source of the microscope adopts a programmable LED array. The distance between the LED array and the stage is generally 6-12cm, and 8cm is selected in this example. The FPM platform is mainly based on the microscope. Compared with the traditional microscope, a programmable LED array is placed at the light source to replace the original light source.

[0023] In some embodiments, the image super-resolution reconstruction method based on the FPM algorithm of nonlinear optimization comprises the following steps:

[0024] (1) Collect low-resolution images I under different angles of illumination with the FPM platform i (x,y):

[0025] Using a computer to control the light emission of the LED array and the image acquisition of the cam...

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Abstract

The present invention provides a kind of image super-resolution reconstruction method based on the FPM algorithm of nonlinear optimization, comprising the following steps: (1) controlling the LED in the LED array to emit light point by point, and the FPM platform collects low-resolution images under different illuminations; (2) ) Based on the fact that the images obtained under different angles of illumination are actually the characteristics obtained by shifting the orthographic image in the frequency domain, a constraint is established on the collected low-resolution image. Based on this constraint, the relationship between the reconstruction result and the collected image is defined (3) Deriving the total deviation to obtain the corresponding gradient value, using the gradient descent algorithm, iteratively solving to obtain the reconstruction result with the smallest total deviation. The present invention makes full use of the advantages of the nonlinear optimization method, carries out mathematical modeling on the original FPM algorithm, abstracts the method of frequency domain iteration into the problem of solving the nonlinear function to obtain the optimal solution, and solves it from a new perspective The image super-resolution reconstruction problem improves the reconstruction effect of the algorithm.

Description

technical field [0001] The invention belongs to the fields of microscopic imaging, computer vision, and computer graphics, especially the field of stereographics, and in particular relates to an image super-resolution reconstruction method based on a non-linear optimized FPM algorithm. technical background [0002] Fourier ptychographic microscopy (FPM) is an image super-resolution reconstruction method based on a microscope platform, which can effectively overcome the contradictory problem of limited space bandwidth product. Common optical imaging platforms are limited by the space bandwidth product, that is, if the observed field of view is relatively wide, the magnification of the observed object will be small; zoom out. The FPM algorithm solves this problem very well, allowing us to obtain images with a wide field of view and high resolution, thereby breaking through the physical limit of the optical imaging system. [0003] The nonlinear optimization method refers to ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T5/00
Inventor 张永兵蒋伟鑫王好谦王兴政戴琼海
Owner SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
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