Method for calculating ghost imaging reconstruction recovery based on U-Net network

A ghost imaging and network technology, which is applied in the field of computational ghost imaging reconstruction and restoration based on U-Net network, can solve the problems of lack of spatial consistency, insufficient sensitivity of details, and insufficient consideration of the relationship between pixels and pixels.

Active Publication Date: 2020-01-10
XIAN UNIV OF TECH
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Problems solved by technology

However, due to multiple downsampling, FCN is not sensitive enough to the details in the image, and does not fully consider the relationship between pixels and lacks spatial consistency.

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  • Method for calculating ghost imaging reconstruction recovery based on U-Net network
  • Method for calculating ghost imaging reconstruction recovery based on U-Net network
  • Method for calculating ghost imaging reconstruction recovery based on U-Net network

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Embodiment Construction

[0054] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0055] The method for the reconstruction and recovery of computing ghost imaging based on U-Net network of the present invention, concrete operation process comprises the following steps:

[0056] Step 1, obtain the Hadamard matrix-based ghost imaging data set corresponding to the MNSIT data set obtained by calculating the ghost imaging;

[0057] Step 2, build U-Net network model, the data that step 1 obtains is divided into training set, test set and verification set, train the parameters in the U-Net network model by training set data;

[0058] Step 3, train the hyperparameters in the U-Net network model through the test set data;

[0059] Step 4: Verify the trained U-Net network model through the verification set and output the results to realize computational ghost imaging reconstruction.

[0060] The specific process of step 1 is as fo...

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Abstract

The invention discloses a method for calculating ghost imaging reconstruction recovery based on a U-Net network. The calculation ghost imaging reconstruction recovery method comprises the steps of firstly obtaining a ghost imaging data set based on a Hadamard matrix corresponding to an MNSIT data set obtained through calculation ghost imaging; then constructing a U-Net network model, dividing theobtained data into a training set and a test set, and training the U-Net network model through training set data; and finally, verifying the trained U-Net network model through a test set and outputting a result to realize calculation ghost imaging reconstruction. According to the method, the number of random phase masks can be reduced to 7%, a good result is obtained, the reconstruction effect ofghost imaging calculation is effectively improved, and the reconstruction speed is increased.

Description

technical field [0001] The invention belongs to the technical field of quantum imaging and artificial intelligence, in particular to a method for computing ghost imaging reconstruction and recovery based on U-Net network. Background technique [0002] Reconstruction restoration of ghost imaging has received extensive attention in recent years. Computational ghost imaging is a classic light field ghost imaging. It uses computational holography to generate known associated light fields, eliminating the need for idle light paths to detect light field distribution, making the optical system simpler in structure and resistant to external interference. Stronger, more efficient image reconstruction. Computational ghost imaging not only inherits the important characteristics of ghost imaging in terms of imaging principles, but also has more important practical application value in its research than two-photon pair ghost imaging and pseudothermal ghost imaging. Ghost imaging techno...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
CPCG06T5/001G06T2207/20081G06T2207/20084
Inventor 隋连升张力文王战敏张志强
Owner XIAN UNIV OF TECH
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