CN115830159A - Computed ghost imaging system and method based on asynchronous differential detection and storage medium - Google Patents
Computed ghost imaging system and method based on asynchronous differential detection and storage medium Download PDFInfo
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Abstract
The invention provides a ghost imaging calculating system and method based on asynchronous differential detection and a storage medium. According to the method, an asynchronous detection technology is introduced into a ghost-computing imaging system, the refreshing frequency between the illumination light source and the time integral barrel detector is adjusted and controlled through the counter, the requirement for synchronism in the ghost-computing imaging process is eliminated, the matching requirement and the instrument cost of the time integral barrel detector are reduced, and the practicability of the ghost-computing imaging technology is improved; the differential algorithm is introduced into a ghost imaging calculation system, and the information obtained by the time integral barrel detector is subjected to differential operation through a differentiator, so that background noise in the imaging process can be effectively eliminated, and the image quality of ghost imaging calculation is improved.
Description
Technical Field
The invention relates to the technical field of optical imaging, in particular to a computational ghost imaging system and method based on asynchronous differential detection and a storage medium.
Background
The computed ghost imaging technology is a novel lens-free imaging mode developed in recent years, and mainly utilizes the intensity fluctuation correlation between two homologous light fields to acquire the image information of an unknown target object. In the process of calculating ghost imaging, firstly, a collimated and expanded parallel light beam vertically illuminates a programmable spatial light modulator, and then a light field modulated by the spatial light modulator is used for illuminating a target object to be imaged; and then a barrel detector without spatial resolution capability is used for receiving the light field intensity modulated by the object. The reference light field in the ghost imaging process can be obtained through calculation of a diffraction integral formula, and finally the correlation operation is carried out on the intensity of the light field collected by the barrel detector and the intensity distribution of the reference light field, so that the image information of the target object can be obtained. Compared with the traditional lens imaging, the computed ghost imaging technology has strong anti-jamming capability. The technology can complete ghost imaging only by utilizing the barrel detector to receive light energy, does not need to use a lens for imaging, and can realize optical imaging of unknown target objects in various complex environments. Due to the unique property, the computational ghost imaging technology has great application value in the fields of underwater imaging, remote sensing imaging, medical imaging, astronomical observation, military investigation and the like, and an effective new method is provided for solving the problem that the traditional imaging technology is difficult to image in a complex environment.
Although the computational ghost imaging technique has a series of advantages, in terms of practical application, the current technique has some defects. For example, the number of sampling times is large, and thousands of sampling times are needed to realize one-time ghost imaging in the process of calculating a ghost imaging experiment, so that the imaging efficiency of the ghost imaging calculating technology is greatly reduced; for another example, the requirement on synchronism is high, the detection frequency of the barrel detector must be strictly consistent with the refreshing frequency of the illumination light source, and therefore the matching requirement of the barrel detector and the instrument cost are greatly improved; for another example, the reconstructed image has poor quality, and the background noise in the imaging system is difficult to eliminate, which seriously affects the application of the computed ghost imaging technology in the field of high-definition imaging. Recently, researchers have proposed a computational ghost imaging technical scheme based on asynchronous detection, which can effectively reduce the synchronization requirement and the instrument cost in the imaging process, but increase the sampling times required by imaging to a certain extent.
Based on this, it is necessary to provide a computed ghost imaging system and method based on asynchronous differential detection to solve the problems of low imaging efficiency, high synchronization requirement and poor image quality in the computed ghost imaging technology in the prior art.
Disclosure of Invention
To this end, embodiments of the present invention provide a computed ghost imaging system, method and storage medium based on asynchronous differential detection, which are used to solve the above technical problems.
The invention provides a ghost imaging computing system based on asynchronous differential detection, wherein the system comprises the following components which are sequentially arranged on an optical path:
the device comprises a He-Ne laser, a collimation beam expander, a spatial light modulator, a target object to be imaged, a time integrating barrel detector, a differentiator, a counter and a computer, wherein the target object to be imaged is placed between the spatial light modulator and the counter;
the spatial light modulator is connected with the time integral barrel detector through the counter, the spatial light modulator is connected with the differentiator through the computer, the time integral barrel detector is connected with the computer through the differentiator, and the computer is used for acquiring image information of a target object to be imaged through a ghost imaging calculating technology based on asynchronous differential detection.
The invention also provides a computed ghost imaging method based on asynchronous differential detection, wherein the computed ghost imaging method based on asynchronous differential detection is implemented by applying the computed ghost imaging system based on asynchronous differential detection, and the method comprises the following steps:
step one, collimating and expanding a He-Ne laser beam by using a collimating and expanding lens to generate uniformly distributed parallel beams:
the He-Ne laser beam is horizontally emitted by controlling a bracket of the He-Ne laser and adjusting the emission direction of the He-Ne laser beam by a knob, and then the He-Ne laser beam is collimated and expanded by a collimating and expanding lens to generate uniformly distributed parallel beams;
step two, modulating the parallel light beams by using a spatial light modulator to generate a random speckle light field:
generating M random speckle patterns with the size of P multiplied by Q by using computer software; the size of the random speckle pattern is set to be the same as the effective modulation size of the spatial light modulator, so that each pixel in the random speckle pattern can be effectively modulated; p multiplied by Q represents the pixel size of the random speckle pattern loaded by the spatial light modulator, P represents the pixel width of the random speckle pattern, and Q represents the pixel height of the random speckle pattern;
vertically injecting parallel light beams to a liquid crystal panel of a spatial light modulator, and then utilizing computer software to enable M random speckle patterns to be in accordance with a first preset frequency F 0 Sequentially loaded onto a spatial light modulator to generate a series of random speckle light fields
m represents the number of times the spatial light modulator is loaded, p ∈ [1, P ]]，q∈[1，Q]；
Thirdly, receiving light energy information of the target object to be imaged after being illuminated by the random speckle light field by using a time integrating barrel detector:
vertically irradiating a target object T (p, q) to be imaged by using a random speckle light field modulated by a spatial light modulator;
then utilizing a time integral barrel detector to detect the frequency F according to the preset detection frequency 1 Receiving light energy information C modulated by a target object to be imaged (n) ；
Step four, carrying out differential operation on the light energy information by using a differentiator to obtain differential information:
the differentiator is used for carrying out differential operation on the light energy information received by the time integrating barrel detector, and when the random speckle pattern is not loaded on the spatial light modulator, the light field intensity behind the spatial light modulator is recorded as
The light energy information received by the time integrating barrel detector is recorded as C (0) If the difference information of the nth time is recorded as:
D (n) ＝C (n) -C (n-1) n =1,2
Wherein D is (n) The difference information is obtained by differentiating the information detected by the time integral barrel detector for the nth time through the differentiator, and N represents the maximum detection time of the time integral barrel detector;
calculating and obtaining the m-th loaded reference light field intensity distribution in the ghost imaging process through a diffraction integral formula
Step five, obtaining a ghost imaging image of the target object to be imaged through differential correlation operation:
and performing correlation calculation based on the reference light field intensity distribution and the difference information to obtain a ghost imaging image.
In the second step, the loading number M of the random speckle patterns is 600, and the corresponding first preset frequency F is obtained during loading 0 The random speckle pattern has a pixel size P × Q of 200 × 200 at 1/60Hz, and each unit pixel size of the spatial light modulator is 12 μm × 12 μm.
The computed ghost imaging method based on asynchronous differential detection is characterized in that in the third step, the first preset frequency F of the random speckle pattern loaded by the spatial light modulator is used 0 With preset detection frequency F of time integral barrel detector 1 The ratio of (b) is defined as an asynchronous multiplying power K, and a calculation formula of the asynchronous multiplying power K is expressed as:
K＝F 0 /F 1
when the amplitude of the random speckle pattern loaded by the spatial light modulator is M, the maximum detection time N of the time integral barrel detector is expressed as:
N＝M/K
wherein the value of K is more than or equal to 2.
The computed ghost imaging method based on asynchronous differential detection is characterized in that the preset detection frequency F of a time integral barrel detector 1 The value of (1/20 Hz), the value of asynchronous multiplying power K is 3, and the maximum detection time N of the time integrating barrel detector is 200 times.
In the fourth step, the intensity distribution of the reference light field loaded at the mth time in the ghost imaging process is calculated and obtained through a diffraction integral formula
In the step (2), the intensity distribution of the reference light field
Is expressed as:
wherein the content of the first and second substances,
representing a random speckle light field,
denotes the convolution operator, λ denotes the wavelength of the incident light, z denotes the distance between the back surface of the spatial light modulator and the front surface of the object to be imaged, p (x, y) denotes the pupil function of the spatial light modulator, x denotes the abscissa at the plane of the spatial light modulator, y denotes the ordinate at the plane of the spatial light modulator, j denotes the complex number.
The computed ghost imaging method based on asynchronous differential detection is characterized in that the expression of a pupil function p (x, y) of a spatial light modulator is as follows:
wherein x is 0 ＝y 0 ＝2400um。
In the method for calculating the ghost imaging based on the asynchronous differential detection, in the fifth step, in the method for performing the correlation calculation based on the reference light field intensity distribution and the differential information to obtain the ghost imaging image, a calculation formula of the ghost imaging image is represented as:
where G (p, q) represents a ghost imaging image.
The present invention also proposes a storage medium, wherein the storage medium stores thereon a computer program, which when executed by a processor implements the computed ghost imaging method based on asynchronous differential detection as described in any one of the above.
The invention has the following beneficial effects:
1. according to the method, an asynchronous detection technology is introduced into a ghost-computing imaging system, the refreshing frequency between the illumination light source and the time integral barrel detector is adjusted and controlled through the counter, the requirement for synchronism in the ghost-computing imaging process is eliminated, the matching requirement and the instrument cost of the time integral barrel detector are reduced, and the practicability of the ghost-computing imaging technology is improved;
2. according to the invention, a differential algorithm is introduced into the ghost-imaging calculating system, and a differentiator is used for carrying out differential operation on information obtained by the time integral barrel detector, so that background noise in the imaging process can be effectively eliminated, and the image quality of ghost-imaging calculation is improved;
3. the invention combines the differential algorithm and the asynchronous detection technology and applies the differential algorithm and the asynchronous detection technology to the correlation operation, eliminates speckle noise brought by the asynchronous detection process, greatly reduces the sampling times required by the ghost imaging technology, and improves the imaging efficiency of the ghost imaging system.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The above and/or additional aspects and advantages of embodiments of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a schematic structural diagram of a computed ghost imaging system based on asynchronous differential detection according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, for the computed ghost imaging system based on asynchronous differential detection proposed by the present invention, the system includes a He-Ne laser 101, a collimating beam expander 102, a spatial light modulator 103, a target object 104 to be imaged, a time integrating barrel detector 105, a differentiator 106, a counter 107 and a computer 108, which are sequentially disposed on an optical path, wherein the target object 104 to be imaged is disposed between the spatial light modulator and the counter.
In this embodiment, the spatial light modulator 103 and the time integration bucket detector 105 are connected by a counter 107, and the spatial light modulator 103 and the differentiator 106 are connected by a computer 108. The time integral barrel detector 105 is connected with a computer 108 through a differentiator 106, and the computer 108 is used for acquiring image information of a target object to be imaged through a computational ghost imaging technology based on asynchronous differential detection.
The invention also provides a computed ghost imaging method based on asynchronous differential detection, wherein the computed ghost imaging method based on asynchronous differential detection is implemented by applying the computed ghost imaging system based on asynchronous differential detection, and the method comprises the following steps:
the method comprises the following steps of firstly, utilizing a collimation beam expander to collimate and expand the He-Ne laser beam so as to generate parallel beams which are uniformly distributed.
Specifically, in the first step, the support of the He-Ne laser is controlled, the knob adjusts the emission direction of the He-Ne laser beam to enable the He-Ne laser beam to be emitted horizontally, and then the He-Ne laser beam is collimated and expanded by the collimation and expansion lens to generate parallel beams which are uniformly distributed.
And step two, modulating the parallel light beams by using a spatial light modulator to generate a random speckle light field.
In the present invention, step two specifically includes step 2.1 and step 2.2, as follows:
step 2.1, generating M random speckle patterns with the size of P multiplied by Q by using computer software; the size of the random speckle pattern is set to be the same as the effective modulation size of the spatial light modulator, so that each pixel in the random speckle pattern can be effectively modulated; p × Q represents the pixel size of the random speckle pattern loaded by the spatial light modulator, P represents the pixel width of the random speckle pattern, and Q represents the pixel height of the random speckle pattern.
Step 2.2, vertically irradiating the parallel light beams to a liquid crystal panel of the spatial light modulator, and then utilizing computer software to enable the M random speckle patterns to be in accordance with a first preset frequency F 0 Sequentially loaded onto a spatial light modulator to generate a series of random speckle light fields
m represents the number of times the spatial light modulator is loaded, p ∈ [1, P ]]，q∈[1，Q]。
In this embodiment, the loading number M of the random speckle patterns is 600, and the corresponding first preset frequency F is set during loading 0 1/60Hz, random speckle pattern pixel sizeP × Q is 200 × 200, and each unit pixel size of the spatial light modulator is 12 μm × 12 μm.
And thirdly, receiving light energy information of the target object to be imaged after the target object is illuminated by the random speckle light field by using a time integration barrel detector.
In the present invention, step three specifically includes step 3.1 and step 3.2, as follows:
step 3.1, vertically irradiating a target object T (p, q) to be imaged by using a random speckle light field modulated by a spatial light modulator;
step 3.2, then utilizing a time integral barrel detector to detect frequency F according to the preset detection frequency 1 Receiving light energy information C modulated by a target object to be imaged (n) 。
In this embodiment, the spatial light modulator is loaded with a first predetermined frequency F of a random speckle pattern 0 With preset detection frequency F of time integral barrel detector 1 The ratio of (b) is defined as an asynchronous multiplying power K, and a calculation formula of the asynchronous multiplying power K is expressed as:
K＝F 0 /F 1
when the amplitude of the random speckle pattern loaded by the spatial light modulator is M, the maximum detection time N of the time integral barrel detector is expressed as:
N＝M/K
wherein the value of K is more than or equal to 2.
The detection data can be reduced by times through asynchronous detection, and the detection requirement and the information storage of the computational ghost imaging technology are reduced. In practical application, the preset detection frequency F of the time integral barrel detector 1 The value of (1/20 Hz), the value of asynchronous multiplying power K is 3, and the maximum detection time N of the time integrating barrel detector is 200 times.
And fourthly, carrying out differential operation on the light energy information by using a differentiator to obtain differential information.
In the present invention, step four specifically includes step 4.1 and step 4.2, as follows:
step 4.1, carrying out differential operation on the light energy information received by the time integrating barrel detector by using a differentiator, and carrying out differential operation on the light energy information on a spatial light modulatorThe intensity of the light field behind the spatial light modulator when no random speckle pattern was loaded was recorded
The light energy information received by the time integral barrel detector is recorded as C (0) If the difference information of the nth time is recorded as:
D (n) ＝C (n) -C (n-1) n =1,2
Wherein D is (n) The difference information is obtained by differentiating the information detected by the time integrating barrel detector for the nth time through the differentiator, and N represents the maximum detection times of the time integrating barrel detector;
step 4.2, calculating through a diffraction integral formula to obtain the intensity distribution of the reference light field loaded at the mth time in the ghost imaging process
In particular, the reference light field intensity distribution
Is expressed as:
wherein the content of the first and second substances,
representing a random speckle light field,
denotes the convolution operator, λ denotes the wavelength of the incident light, z denotes the distance between the back surface of the spatial light modulator and the front surface of the object to be imaged, p (x, y) denotes the pupil function of the spatial light modulator, x denotes the abscissa at the plane of the spatial light modulator, y denotes the ordinate at the plane of the spatial light modulator, j denotes the complex number.
Further, the expression of the pupil function p (x, y) of the spatial light modulator is:
wherein x is 0 ＝y 0 ＝2400um。
And step five, obtaining a ghost imaging image of the target object to be imaged through differential correlation operation.
In this step, correlation calculation is performed based on the reference light field intensity distribution and difference information to obtain a ghost imaging image.
In the method for performing correlation calculation based on the reference light field intensity distribution and the difference information to obtain the ghost imaging image in the present step, a calculation formula of the ghost imaging image is represented as:
wherein G (p, q) represents a ghost imaging image.
The differential correlation operation not only can obtain the computed ghost imaging image of the target to be imaged, but also eliminates speckle noise caused by an asynchronous detection technology, greatly reduces the sampling times required by imaging, and greatly improves the imaging efficiency while improving the image quality of computed ghost imaging. This technology is feasible from principle to experiment, and has been validated in the laboratory.
The present invention also proposes a storage medium, wherein the storage medium stores thereon a computer program, which when executed by a processor implements the computed ghost imaging method based on asynchronous differential detection as described in any one of the above.
The invention has the following beneficial effects:
1. according to the method, an asynchronous detection technology is introduced into a ghost-computing imaging system, the refreshing frequency between the illumination light source and the time integral barrel detector is adjusted and controlled through the counter, the requirement for synchronism in the ghost-computing imaging process is eliminated, the matching requirement and the instrument cost of the time integral barrel detector are reduced, and the practicability of the ghost-computing imaging technology is improved;
2. according to the invention, a differential algorithm is introduced into the ghost-imaging calculating system, and a differentiator is used for carrying out differential operation on information obtained by the time integral barrel detector, so that background noise in the imaging process can be effectively eliminated, and the image quality of ghost-imaging calculation is improved;
3. the invention combines the differential algorithm and the asynchronous detection technology and applies the differential algorithm and the asynchronous detection technology to the correlation operation, eliminates speckle noise brought by the asynchronous detection process, greatly reduces the sampling times required by the ghost imaging calculation technology, and improves the imaging efficiency of the ghost imaging calculation system.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that: various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.
Claims (9)
1. A computed ghost imaging system based on asynchronous differential detection, the system comprising, in order on an optical path:
the device comprises a He-Ne laser, a collimation beam expander, a spatial light modulator, a target object to be imaged, a time integrating barrel detector, a differentiator, a counter and a computer, wherein the target object to be imaged is placed between the spatial light modulator and the counter;
the spatial light modulator is connected with the time integral barrel detector through the counter, the spatial light modulator is connected with the differentiator through the computer, the time integral barrel detector is connected with the computer through the differentiator, and the computer is used for acquiring image information of a target object to be imaged through a ghost imaging calculating technology based on asynchronous differential detection.
2. A computed ghost imaging method based on asynchronous differential detection, which is implemented by applying the computed ghost imaging system based on asynchronous differential detection as claimed in claim 1, said method comprising the following steps:
the method comprises the following steps of firstly, utilizing a collimation beam expander to collimate and expand the He-Ne laser beam to generate uniformly distributed parallel beams:
the emission direction of the He-Ne laser beam is adjusted by a knob by controlling a bracket of the He-Ne laser, so that the He-Ne laser beam is kept emitting horizontally, and then the He-Ne laser beam is collimated and expanded by a collimating and expanding lens to generate parallel beams which are uniformly distributed;
step two, modulating the parallel light beams by using a spatial light modulator to generate a random speckle light field:
generating M random speckle patterns with the size of P multiplied by Q by using computer software; the size of the random speckle pattern is set to be the same as the effective modulation size of the spatial light modulator, so that each pixel in the random speckle pattern can be effectively modulated; p multiplied by Q represents the pixel size of the random speckle pattern loaded by the spatial light modulator, P represents the pixel width of the random speckle pattern, and Q represents the pixel height of the random speckle pattern;
the parallel light beams are vertically incident on a liquid crystal panel of the spatial light modulator, and then the M random speckle patterns are processed by computer software according to a first preset frequency F 0 Sequentially loaded onto a spatial light modulator to generate a series of random speckle light fields
m represents the number of times the spatial light modulator is loaded, p ∈ [1, P ]]，q∈[1，Q]；
Thirdly, receiving light energy information of the target object to be imaged after being illuminated by the random speckle light field by using a time integrating barrel detector:
vertically irradiating a target object T (p, q) to be imaged by using a random speckle light field modulated by a spatial light modulator;
then utilizing a time integral barrel detector to detect the frequency F according to the preset detection frequency 1 Receiving light energy information C modulated by a target object to be imaged (n) ；
Step four, carrying out differential operation on the light energy information by using a differentiator to obtain differential information:
the differentiator is used for carrying out differential operation on the light energy information received by the time integrating barrel detector, and when the random speckle pattern is not loaded on the spatial light modulator, the light field intensity behind the spatial light modulator is recorded as
The light energy information received by the time integral barrel detector is recorded as C (0) If the difference information of the nth time is recorded as:
D (n) ＝C (n) -C (n-1) n =1,2
Wherein D is (n) Indicating differentiator versus time integral barrel detector nth detectionThe obtained information is subjected to difference to obtain difference information, and N represents the maximum detection times of the time integral barrel detector;
calculating and obtaining the m-th loaded reference light field intensity distribution in the ghost imaging process through a diffraction integral formula
Step five, obtaining a ghost imaging image of the target object to be imaged through differential correlation operation:
and performing correlation calculation based on the reference light field intensity distribution and the difference information to obtain a ghost imaging image.
3. The computed ghost imaging method according to claim 2, wherein in step two, the loading number M of random speckle patterns is 600, and the first preset frequency F corresponds to the loading time 0 The random speckle pattern has a pixel size P × Q of 200 × 200 at 1/60Hz, and each unit pixel size of the spatial light modulator is 12 μm × 12 μm.
4. The computed ghost imaging method based on asynchronous differential detection according to claim 3, wherein in step three, the spatial light modulator is loaded with a first preset frequency F of a random speckle pattern 0 With preset detection frequency F of time integral barrel detector 1 The ratio of (b) is defined as an asynchronous multiplying power K, and a calculation formula of the asynchronous multiplying power K is expressed as:
K＝F 0 /F 1
when the amplitude of the random speckle pattern loaded by the spatial light modulator is M, the maximum detection time N of the time integral barrel detector is expressed as:
N＝M/K
wherein the value of K is more than or equal to 2.
5. The computed ghost imaging method based on asynchronous differential detection according to claim 4, characterized in that the preset detection frequency F of the time integral barrel detector 1 The value of (1/20 Hz), the value of asynchronous multiplying power K is 3, and the maximum detection time N of the time integrating barrel detector is 200 times.
6. The computed ghost imaging method based on asynchronous differential detection according to claim 5, wherein in the step four, the intensity distribution of the m-th loaded reference light field in the ghost imaging process is computed by a diffraction integral formula
In the step (2), the intensity distribution of the reference light field
Is expressed as:
wherein the content of the first and second substances,
representing a random speckle light field,
denotes the convolution operator, λ denotes the wavelength of the incident light, z denotes the distance between the back surface of the spatial light modulator and the front surface of the object to be imaged, p (x, y) denotes the pupil function of the spatial light modulator, x denotes the abscissa at the plane of the spatial light modulator, y denotes the ordinate at the plane of the spatial light modulator, j denotes complex numbers.
7. A computed ghost imaging method based on asynchronous differential detection according to claim 6, characterized in that the expression of the pupil function p (x, y) of the spatial light modulator is:
wherein x is 0 ＝y 0 ＝2400um。
8. The computed ghost imaging method based on asynchronous differential detection according to claim 7, wherein in the step five, the correlation computation is performed based on the reference light field intensity distribution and the differential information to obtain the ghost imaging image, and the computation formula of the ghost imaging image is represented as:
wherein G (p, q) represents a ghost imaging image.
9. A storage medium, characterized in that the storage medium has stored thereon a computer program which, when being executed by a processor, implements the computed ghost imaging method based on asynchronous differential detection according to any of claims 2-8.
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