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Speckle optimal-compressed sensing ghost imaging method and system

A technology of compressed sensing and ghost imaging, which is applied in the field of optical imaging, can solve the problem of low efficiency of computational ghost imaging, achieve effective extraction, accelerate imaging speed, and improve imaging quality

Active Publication Date: 2020-01-03
BEIJING INSTITUTE OF TECHNOLOGYGY
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0005] In order to solve the problem of low computational efficiency of ghost imaging, a speckle-optimized compressive sensing ghost imaging method and system disclosed in the present invention is to solve the technical problem of providing a method and system for generating adaptive speckle through image training. The method for generating adaptive speckles described above has the advantages of fast imaging speed and fewer times of required light intensity signals; in addition, by applying the method for generating adaptive speckles to the compressed sensing ghost imaging method, simplified compressed sensing The computational complexity of the ghost imaging method has the advantages of fast imaging speed, less times of receiving light intensity signals, and flexible forms

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Embodiment 1

[0037] Embodiment: Modern computational ghost imaging uses two light sources, which are known light sources. The present invention uses a method of constructing an image dictionary to build an image dictionary for known targets to project corresponding speckle, that is, optimized speckle. The reflected light intensity signal is reconstructed to overcome the limitation of the sampling quantity of Shannon's theorem, and achieve the purpose of quickly recovering the original signal.

[0038] Such as figure 2 As shown, a speckle-optimized compressed sensing ghost imaging method disclosed in this embodiment is implemented based on the compressed sensing-based computational ghost imaging system, including the following steps:

[0039] Step 1: Generate an optimized speckle matrix by principal component analysis.

[0040] According to the target image category, a large number of sample object images are collected in advance to build an image dictionary for the target imaging scene. ...

Embodiment 2

[0057] Step 1: If figure 1 As shown, a computational ghost imaging system based on compressed sensing disclosed in this embodiment includes a main control circuit, a digital micromirror device DMD1 (Digital mirror device), a single-pixel detector and a computer, and the main control circuit includes a DMD The control module and the echo signal processing module are all installed in the computer; the main control circuit is used to control the DMD to generate the target speckle light field; the DMD is used to execute the command of the main control circuit to generate the target light field; the but The pixel detector is used to detect light intensity signals; the computer is used to train speckle and light target reconstruction.

[0058] Such as Figure three As shown, the image dictionary is established for the known target, and the n standard pictures in the constituency picture library are subjected to pixel unification processing (all are converted into pictures with the ...

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Abstract

The invention discloses a speckle optimal-compressed sensing ghost imaging method and system, and belongs to the technical field of optical imaging. An implementation method of the invention comprisesthe following steps of generating an optimized speckle matrix through a principal component analysis method; generating light spots according to the generated speckle matrix, projecting the generatedlight spots onto a target image, receiving a light intensity signal reflected by the target image, and transmitting the signal to a compression processing module; projecting the obtained light intensity signals to a sparse base in a compression processing module to obtain sparse signals, wherein the sparse signals are subjected to an over-complete measurement matrix to obtain a series of non-adaptive linear random projection value matrixes; solving an optimal solution of the series of non-adaptive linear random projection value matrixes to realize the high reconstruction of the original lightintensity signal, and realizing the speckle optimal-compressed sensing ghost imaging, thereby improving imaging quality of the three-dimensional ghost imaging. The invention further discloses a computational ghost imaging system based on compressed sensing. The ghost imaging method disclosed by the invention has the advantages of being fast in imaging speed, less in times of receiving the light intensity signal, and flexible in form.

Description

technical field [0001] The invention belongs to the technical field of optical imaging, and in particular relates to a speckle-optimized compressed sensing ghost imaging method and system. Background technique [0002] Correlative imaging is a new type of computational imaging technology based on quantum optics theory that uses dual optical paths for coincidence detection, and provides a new solution for optical systems to obtain image information. The imaging method in the traditional concept is to directly detect the light intensity distribution of the light field, while the ghost imaging technology obtains the image of the object to be measured by correlating the intensity fluctuation information of the two optical paths. One of the optical paths is called the test path. After the light passes through the object to be tested, the light field carrying the object information reaches a single-point detector; the other path is the reference path (usually a preset light field ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S17/89G01S7/48G01S7/481
CPCG01S7/4802G01S7/481G01S17/89
Inventor 曹杰郝群姜雅慧冯永超周栋
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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