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Speckle-optimized compressed sensing ghost imaging method and system

A compressed sensing and ghost imaging technology, applied in the field of optical imaging, can solve the problem of low efficiency of computing ghost imaging, and achieve the effect of speeding up imaging, reducing data redundancy, and improving imaging quality

Active Publication Date: 2021-08-06
BEIJING INSTITUTE OF TECHNOLOGYGY
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  • Summary
  • Abstract
  • Description
  • 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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  • Speckle-optimized compressed sensing ghost imaging method and system

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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 7, and the main control circuit includes The DMD 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 single-pixel detector is used to detect light intensity signals; the computer 7 is used to train speckle and light target reconstruction.

[0058] Such as image 3 As shown, an image dictionary is established for known targets, and n standard pictures in the picture library are selected for pixel unification processing (converting them into pictures with the same pixels). In this case,...

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Abstract

The invention discloses a speckle-optimized compressed sensing ghost imaging method and system, belonging to the technical field of optical imaging. The implementation method of the present invention is as follows: generate an optimized speckle matrix by principal component analysis; generate light spots according to the generated speckle matrix, project the generated light spots onto the target image, receive the light intensity signal reflected by the target image, and transmit the signal to Compression processing module; in the compression processing module, the obtained light intensity signal is projected to the sparse base to obtain a sparse signal, and the sparse signal is passed through the over-complete measurement matrix to obtain a series of non-adaptive linear random projection value matrices, and for a series of non-adaptive linear The random projection value matrix solves the optimization problem to realize the highly reconstructed original light intensity signal, realize speckle optimization compressive sensing ghost imaging, and improve the imaging quality of 3D ghost imaging. The invention also discloses a computational ghost imaging system based on compressed sensing. The invention has the advantages of fast imaging speed, less times of receiving light intensity signals and flexible 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 Patents(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