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Image super-resolution reconstruction method for FPM algorithm based on nonlinear optimization

A technology of super-resolution reconstruction and nonlinear optimization, applied in image enhancement, image data processing, calculation, etc., can solve the problems of small magnification of the observed object and narrowed field of view, and achieve the effect of improving the reconstruction effect.

Active Publication Date: 2015-12-09
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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  • Image super-resolution reconstruction method for FPM algorithm based on nonlinear optimization
  • Image super-resolution reconstruction method for FPM algorithm based on nonlinear optimization
  • Image super-resolution reconstruction method for FPM algorithm based on nonlinear optimization

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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 invention provides an image super-resolution reconstruction method for an FPM algorithm based on nonlinear optimization. The method includes following steps: (1) LEDs in an LED array are controlled to emit light point by point, and an FPM platform acquires low-resolution images in different illuminations; (2) the obtained images based on different angle illuminations are actually characteristics obtained by shifting of images in a frequency domain in the normal incidence, restraint of the acquired low-resolution images is set up, and the total deviation between a reconstruction result and the acquired images is defined based on the constraint; and (3) a corresponding gradient value is obtained via derivation of the total deviation, and the reconstruction result with minimum total deviation is obtained via iterative solution by employing a gradient descent algorithm. According to the method, advantages of the nonlinear optimization method are fully used, mathematical modeling of the original FPM algorithm is performed, the method of frequency domain iteration is abstracted to a problem of solving a non-linear function and obtaining an optimal solution, the problem of image super-resolution reconstruction is solved from a new angle, and the reconstruction effect of the algorithm is improved.

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] Fourierptychographic 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 t...

Claims

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Application Information

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Patent Type & Authority Applications(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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