Noiseless ghost imaging method and system
By using binary processing and binarization techniques, a barrel detector composed of an array detector and an FPGA board is used to obtain the reflected light intensity value, which solves the noise problem in ghost imaging, realizes noise-free imaging, and improves imaging quality.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- YANTAI UNIV
- Filing Date
- 2026-04-01
- Publication Date
- 2026-06-26
AI Technical Summary
Noise problems cannot be fundamentally eliminated in existing ghost imaging technologies, affecting image quality, especially in harsh environments and long-distance detection scenarios where noise has a significant impact.
A two-dimensional matrix with binary processing is projected onto the target object, and a barrel detector composed of an array detector and an FPGA board is used to obtain the reflected light intensity value. Noise-free imaging is achieved through binarization processing.
It effectively eliminates noise interference, ensures the accuracy of the collected data, achieves noise-free imaging, and improves the imaging quality of ghost imaging.
Smart Images
Figure CN122289059A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of photoelectric imaging technology, and more specifically to a noise-free ghost imaging method and system. Background Technology
[0002] Ghost imaging is a non-local imaging technique based on the correlation characteristics of light fields. Unlike traditional imaging methods that directly acquire the spatial light field information of the target, it reconstructs the target image through correlation calculation of light intensity. With its strong anti-interference ability and the ability to detect in harsh environments such as low light and long distance, it has become a research hotspot in the field of optoelectronic imaging. At present, it has shown important application value in remote sensing, security monitoring, medical live imaging, and industrial non-destructive testing.
[0003] The development of ghost imaging technology has undergone a key evolution from traditional quantum ghost imaging to computational ghost imaging. Early traditional quantum ghost imaging relied on entangled photon pairs and adopted a dual-optical-path structure of an object arm and a reference arm. The object arm collected the total light intensity after the target was illuminated through a barrel detector without spatial resolution, while the reference arm recorded the light field distribution of the unilluminated target through an area array camera. Finally, the imaging was completed through the correlation operation of the two signals. In contrast, computational ghost imaging technology replaced the reference arm of traditional ghost imaging by pre-generating speckle or projection matrices by a computer. It only requires a single optical path combined with a barrel detector to complete the imaging, which greatly simplifies the system hardware structure and reduces the implementation cost, and has become the mainstream implementation method of current ghost imaging technology.
[0004] However, regardless of whether it is traditional quantum ghost imaging or conventional computational ghost imaging, noise remains a core technical barrier restricting the improvement of its imaging quality, and existing technologies cannot fundamentally eliminate noise. Noise in existing ghost imaging technologies mainly originates from two aspects. Firstly, there is objective interference from the external environment. Environmental factors such as stray light, light scattering, and light attenuation during the imaging process directly affect the accuracy of light intensity acquisition. In practical applications such as underwater and long-distance detection, the noise impact from such environmental interference is particularly significant. Secondly, there are inherent performance defects in the experimental equipment. The light intensity acquisition process of the barrel detector and the light field output process of the projection device both have inherent hardware noise. Simultaneously, the electrical signal transmission links between the array detector and the signal processing circuit also introduce additional electrical noise. All of these noises are directly superimposed on the imaging signal.
[0005] Therefore, developing a ghost imaging method that can achieve noise-free imaging in principle and break through the imaging quality barrier caused by existing noise has become an urgent technical problem to be solved in the field of optoelectronic imaging. Summary of the Invention
[0006] In view of this, the present invention provides a noise-free ghost imaging method and system. By utilizing the binary characteristic that only has two values, noise-free imaging can be achieved, which can overcome the problem that existing unavoidable noise makes it impossible to reconstruct high-quality images.
[0007] To achieve the above objectives, the present invention adopts the following technical solution: A noise-free ghost imaging method, comprising: A two-dimensional matrix of random numbers is generated. The two-dimensional matrix is then binary-processed according to grayscale information to obtain a binary two-dimensional matrix. Based on the binary two-dimensional matrix, the two-dimensional matrix is divided into P groups of two-dimensional binary matrices. The P groups of two-dimensional binary matrices are used as projection matrices and projected onto the target object X. The reflected light intensity values of the target object P groups are obtained as collected data using a barrel detector composed of an array detector and an FPGA board. Simultaneously, binarization processing is performed to obtain the barrel measurement signals P groups. The target object matrix is calculated based on the P-group two-dimensional binary matrix and the P-group bucket measurement signal, and the target object image is reconstructed.
[0008] Preferably, the two-dimensional matrix for generating random numbers specifically includes: generating several dimensions. For each random matrix, its columns are arranged sequentially to form a column vector, and each random matrix is a column vector. Each column vector is then transposed to form a row vector. Following the order in which the random matrices were generated, each row vector is arranged row by row to ultimately form a two-dimensional matrix. Two-dimensional matrix It can be represented as:
[0009] in, Represents a two-dimensional matrix. Indicates the row number. Indicates the column number, and , .
[0010] Preferably, the two-dimensional matrix is processed into a binary two-dimensional matrix according to grayscale information, specifically including: .
[0011] Preferably, obtaining the measurement signal of group P buckets specifically includes: .
[0012] A noise-free ghost imaging system, comprising: The matrix generation unit generates a two-dimensional matrix of random numbers, performs binary processing on the two-dimensional matrix according to grayscale information to obtain a binary two-dimensional matrix, and divides the two-dimensional matrix into P groups of two-dimensional binary matrices based on the binary two-dimensional matrix. The signal processing unit uses the P groups of two-dimensional binary matrices as projection matrices to project onto the target object X, and uses a barrel detector composed of an array detector and an FPGA board to obtain the reflected light intensity values of the P groups of target objects as collected data, and simultaneously performs binarization processing to obtain the P groups of barrel measurement signals. The image reconstruction unit calculates the target object matrix based on the P groups of two-dimensional binary matrices and the P groups of bucket measurement signals, and reconstructs the target object image.
[0013] As can be seen from the above technical solution, compared with the prior art, the present invention discloses a noise-free ghost imaging method and system. By using the reflected light intensity value of the target object projected onto the P-group two-dimensional binary matrix after binary processing as the acquisition data, and in conjunction with the binary processing of the acquisition data, the accuracy of the information in the P-group acquisition data can be effectively guaranteed by utilizing the characteristic of only binary values, thereby obtaining acquisition data with accurate grayscale information, realizing noise-free barrel detection signal, and achieving noise-free imaging of the target object. Compared with the traditional ghost imaging method, it can solve the problem of unavoidable noise in ghost imaging, and provides a solution for achieving noise-free ghost imaging. Attached Figure Description
[0014] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.
[0015] Figure 1 Flowchart provided for this invention; Figure 2 A flowchart for obtaining a two-dimensional matrix provided by the present invention; Figure 3 This is a schematic diagram of the ghost imaging system provided by the present invention; Figure 4 The experimental reconstruction results provided by this invention are shown in the figure.
[0016] Figure 5 This is an application environment diagram provided for the present invention. Detailed Implementation
[0017] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0018] This invention discloses a noise-free ghost imaging method, comprising: Generate a two-dimensional matrix of random numbers, and then process the two-dimensional matrix into binary according to the grayscale information to obtain a binary two-dimensional matrix. Based on the binary two-dimensional matrix, divide the two-dimensional matrix into P groups of two-dimensional binary matrices. P groups of two-dimensional binary matrices are used as projection matrices and projected onto the target object X. The reflected light intensity values of the target object are obtained by a bucket detector composed of an array detector and an FPGA board as the collected data. Simultaneously, binarization processing is performed to obtain the bucket measurement signal of P groups. The target object matrix is calculated based on the P-group two-dimensional binary matrix and the P-group bucket measurement signal, and the target object image is reconstructed.
[0019] In one specific embodiment, generating a two-dimensional matrix of random numbers specifically includes: generating several dimensions... For each random matrix, its columns are arranged sequentially to form a column vector. Each random matrix is a column vector, and each column vector is transposed to form a row vector. Following the order in which the random matrices were generated, each row vector is arranged row by row to ultimately form a two-dimensional matrix. Two-dimensional matrix It can be represented as:
[0020] in, Represents a two-dimensional matrix. Indicates the row number. Indicates the column number, and , .
[0021] In one specific embodiment, the two-dimensional matrix is processed into a binary two-dimensional matrix according to grayscale information, specifically including: .
[0022] Binary conversion is calculated using the following formula: ; In one specific embodiment, obtaining the measurement signal of the P group of buckets specifically includes: .
[0023] In one specific embodiment of the present invention, such as Figure 1 The diagram shows a flowchart of a noise-free ghost imaging method according to an embodiment of the present invention. The ghost imaging method specifically includes the following steps: Step S101: Generate a two-dimensional matrix of random numbers from 0 to 255 ; Step S102: Convert the two-dimensional matrix The grayscale information from 0 to 255 is converted into binary form to obtain a binary two-dimensional matrix. ; Step S103: Based on the binary two-dimensional matrix Will It is divided into 8 groups of two-dimensional binary matrices, which are used as projection matrices; Step S104: Project 8 sets of two-dimensional binary matrices onto the target object X, and use a bucket detector composed of an array detector and an FPGA board to acquire 8 sets of reflected light intensity values of the target object as collected data. Simultaneously perform binarization processing to obtain 8 sets of bucket measurement signals. ; Step S105: Calculate the target object matrix based on 8 sets of two-dimensional binary matrices and 8 sets of bucket measurement signals, and reconstruct the target object image.
[0024] It is understood that, in this embodiment of the invention, the two-dimensional matrix generated in step S101 can be in random form, and the random form can be generated by software.
[0025] In one specific embodiment of the present invention, such as Figure 2 As shown, a two-dimensional matrix The generation specifically includes the following steps: Step S201, generate several dimensions as A random matrix; Step S202: For each random matrix, its columns are arranged sequentially to form a column vector, and each random matrix is a column vector; Step S203: Transpose each column vector into a row vector; Step S204: Arrange each row vector row by row according to the order in which the random matrix was generated, and finally form a two-dimensional matrix. Two-dimensional matrix It can be represented as: ; in, Represents a two-dimensional matrix. Indicates the row number. Indicates the column number, and , .
[0026] It is understood that, in the embodiments of the present invention, a two-dimensional matrix Includes several random matrix objects, the size of which is... .
[0027] Figure 3 This is a schematic diagram of a noise-free ghost imaging system.
[0028] like Figure 3 As shown, a noiseless ghost imaging system 10 according to an embodiment of the present invention includes: a matrix generation module 100, a binary processing module 200, a projection module 300, a binary detection module 400, a control module 500, and a reconstruction module 600.
[0029] Furthermore, the matrix generation module 100 is used to generate a two-dimensional matrix. The binary processing module 200 is used to acquire the projection matrix. The projection module 300 is used to project the projection matrix onto the target object. The binary detection module 400 is used to acquire the reflected light intensity value of the target object as a bucket signal. The control module 500 is used to control the projection module 300 to sequentially project the projection matrix onto the target object, and to control the detection module 400 to synchronously acquire the reflected light intensity value of the target object as a bucket signal. The reconstruction module 600 is used to calculate the target object matrix based on the bucket signal and the projection matrix, and to reconstruct the target object image.
[0030] Furthermore, in one embodiment of the present invention, the matrix generation module 100 is also used to generate several dimensions. The random matrices are generated by arranging their columns sequentially to form a column vector, and then transposing each column vector into a row vector. Following the order in which the random matrices were generated, each row vector is then arranged row by row to form a two-dimensional matrix. .
[0031] Furthermore, in one embodiment of the present invention, the binary processing module 200 is used to process the binary matrix according to the two-dimensional matrix. The grayscale information from 0 to 255 is converted into binary form to obtain a binary two-dimensional matrix. .
[0032] In this embodiment, the number 1 is selected as the target object, generating 1024 dimensions. A random matrix, thus having 8192 The projection matrix, which includes 8 groups of 1024 The projection matrix.
[0033] Figure 4 This is an experimental reconstruction result of a noise-free ghost imaging method.
[0034] like Figure 4 As shown, the image is the original target object image and the experimentally reconstructed image when the target object is 1 in an embodiment of the present invention.
[0035] like Figure 5 The diagram shown illustrates the application environment of a noise-free ghost imaging method according to an embodiment of the present invention, including a matrix projection device 100, a binary detection device 200, and a processing device 300.
[0036] The projection device 100 is a device for projecting a projection matrix onto an object. The projection device 100 may be a projector.
[0037] The detection device 200 is mainly used to collect the reflected light intensity value of the target object as a barrel signal. The detection device 200 can be a developable array detector.
[0038] The processing device 300 is used to generate a random two-dimensional matrix and perform a series of processes on the random matrix to obtain a projection matrix. At the same time, the processing device 300 is used to control the projection device 100 and the detection device 200 to complete the corresponding functions. In addition, the processing device 300 is also used to calculate the target object matrix based on the bucket signal and the projection matrix, and reconstruct the target object image. The processing device 300 can be a computer.
[0039] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. The methods disclosed in the embodiments are described simply because they correspond to the methods disclosed in the embodiments; relevant parts can be found in the method section.
[0040] The above description of the disclosed embodiments enables those skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims
1. A noise-free ghost imaging method, characterized in that, include: A two-dimensional matrix of random numbers is generated. The two-dimensional matrix is then binary-processed according to grayscale information to obtain a binary two-dimensional matrix. Based on the binary two-dimensional matrix, the two-dimensional matrix is divided into P groups of two-dimensional binary matrices. The P groups of two-dimensional binary matrices are used as projection matrices and projected onto the target object X. The reflected light intensity values of the target object P groups are obtained as collected data using a barrel detector composed of an array detector and an FPGA board. Simultaneously, binarization processing is performed to obtain the barrel measurement signals P groups. The target object matrix is calculated based on the P-group two-dimensional binary matrix and the P-group bucket measurement signal, and the target object image is reconstructed.
2. The noise-free ghost imaging method according to claim 1, characterized in that, The specific steps of generating the two-dimensional matrix of random numbers include: generating several matrices with dimensions of... For each random matrix, its columns are arranged sequentially to form a column vector, and each random matrix is a column vector. Each column vector is then transposed to form a row vector. Following the order in which the random matrices were generated, each row vector is arranged row by row to ultimately form a two-dimensional matrix. Two-dimensional matrix It can be represented as: in, Represents a two-dimensional matrix. Indicates the row number. Indicates the column number, and , .
3. The noise-free ghost imaging method according to claim 2, characterized in that, The two-dimensional matrix is converted into a binary two-dimensional matrix according to the grayscale information, specifically including: 。 4. The noise-free ghost imaging method according to claim 2, characterized in that, The specific components of obtaining the P-group bucket measurement signal include: 。 5. A noise-free ghost imaging system, applied to the noise-free ghost imaging method according to any one of claims 1-4, characterized in that, include: The matrix generation unit generates a two-dimensional matrix of random numbers, performs binary processing on the two-dimensional matrix according to grayscale information to obtain a binary two-dimensional matrix, and divides the two-dimensional matrix into P groups of two-dimensional binary matrices based on the binary two-dimensional matrix. The signal processing unit uses the P groups of two-dimensional binary matrices as projection matrices to project onto the target object X, and uses a barrel detector composed of an array detector and an FPGA board to obtain the reflected light intensity values of the P groups of target objects as collected data, and simultaneously performs binarization processing to obtain the P groups of barrel measurement signals. The image reconstruction unit calculates the target object matrix based on the P groups of two-dimensional binary matrices and the P groups of bucket measurement signals, and reconstructs the target object image.