Large field of view infrared imaging method and device

Abstract

The present application discloses a method and device for infrared imaging with a large field of view, wherein the method comprises: obtaining a coded target image based on target radiation information; performing local imaging of the target light of the target image to generate multiple local target images, and overlapping and mapping them to the target surface for imaging to obtain a discretized image; and performing compressed sensing reconstruction on the discretized image to obtain the reconstructed local target images, and splicing them to obtain an infrared image with a large field of view. Thus, the technical problems in the related technology that the external equipment requirements are high, or the system itself is large in size and cost, which is not conducive to promotion and application are solved.

Description

Technical Field

[0001] The present application relates to the field of optical imaging technology, and in particular to a method and device for large-field-of-view infrared imaging. Background Art

[0002] Infrared imaging technology detects, identifies and tracks incoming aircraft, missiles and other targets by detecting the infrared radiation characteristics of the target. It has the advantages of good concealment, strong anti-interference ability and all-weather operation, and is a major research hotspot in the field of optoelectronic warning. The total field of view is an important performance indicator of infrared imaging instruments. However, due to the limitation of the array size of existing infrared detection devices, it is difficult to take into account large-scale search and accurate target identification under the condition of fixed field of view. If a large-scale search of the target is required, the target cannot be accurately identified due to the low image resolution, which directly increases the difficulty of target detection. Therefore, how to take into account the large field of view and wide-area target search of the infrared imaging system and the high-precision target identification and tracking problem is an urgent need for your infrared imaging warning technology.

[0003] In order to achieve more detailed perception within a wider field of view, related technologies mainly include two methods: a field of view synthesis method based on mechanical scanning and a gaze-type multi-lens aperture synthesis method.

[0004] The method based on mechanical scanning requires the addition of a servo device, and has very high requirements on the motion accuracy and stability of the scanning mechanism it carries. Since it is susceptible to external shocks and vibrations of the motion platform, it places very high requirements on the reliability of the servo device, which increases the cost. At the same time, it also has high requirements on the stability of the platform it carries, and is not suitable for complex working environments. Due to the long mechanical scanning time, the detection effect of moving targets is poor and the real-time performance is poor.

[0005] The multi-lens aperture synthesis method requires multiple groups of lenses and detectors to form a camera array. The imaging volume of the entire system is large and the cost is very high. These factors limit the practical application of the multi-lens aperture synthesis method.

[0006] In summary, the infrared large field of view imaging technology in the related technologies has high requirements on the mounting platform and scanning mechanism based on the mechanical scanning method, and the camera array aperture synthesis based method has large volume and extremely high cost, which restricts the practical application of infrared large field of view imaging technology and needs to be improved. Summary of the invention

[0007] The present application provides a large-field-of-view infrared imaging method and device to solve the technical problems in the related technologies that the external equipment is required to be high, or the system itself is large in size and high in cost, which is not conducive to promotion and application.

[0008] The first aspect of the present application provides a large-field-of-view infrared imaging method, comprising the following steps: obtaining a coded target image based on target radiation information; locally imaging the target light of the target image to generate multiple local target images, and overlappingly mapping them to the target surface for imaging to obtain a discretized image; and performing compressed sensing reconstruction on the discretized image to solve the reconstructed local target images, and stitching them together to obtain an infrared large-field-of-view image.

[0009] Optionally, in one embodiment of the present application, after acquiring the encoded target image, the method further includes: deflecting the target light toward the optical axis so that the target light reaches a local imaging condition.

[0010] Optionally, in one embodiment of the present application, the encoding formula of the target image is:

[0011]

[0012] Among them, T(x',y') is the encoding method, t i,j is the encoding value at position (i, j), Δ 1 is the size of the coding unit.

[0013] Optionally, in one embodiment of the present application, the expression for imaging on the target surface is:

[0014]

[0015] Among them, f k (x′, y′) is the kth local target, h(x'-x, y'-y) is the spatial translation invariant point spread function of the local imaging module and the combined imaging module, is the code corresponding to the kth local image at the position (i, j).

[0016] Optionally, in one embodiment of the present application, the discretized image is:

[0017]

[0018] Among them, Δ 2 is the pixel size of the infrared detector.

[0019] Optionally, in one embodiment of the present application, the solution formula for each local target image is:

[0020]

[0021] subject to f rec =Ψθ

[0022] Where g is the detector image, H is the measurement matrix of Gaussian random coding, Ψ is the sparse transformation matrix, θ is the sparse vector, and f rec is the reconstructed local target image.

[0023] The second aspect of the present application provides a large-field-of-view infrared imaging device, including: an acquisition module, used to acquire a coded target image based on target radiation information; a local imaging module, used to perform local imaging of the target light of the target image, generate multiple local target images, and overlap and map them to the target surface for imaging to obtain a discretized image; and an image combination module, used to perform compressed sensing reconstruction on the discretized image, solve to obtain the reconstructed local target images, and splice them to obtain an infrared large-field-of-view image.

[0024] Optionally, in one embodiment of the present application, it further includes: a deflection module, used to deflect the target light toward the optical axis so that the target light reaches a local imaging condition.

[0025] Optionally, in one embodiment of the present application, the encoding formula of the target image is:

[0026]

[0027] Among them, T(x',y') is the encoding method, t i,j is the encoding value at position (i, j), Δ 1 is the size of the coding unit.

[0028] Optionally, in one embodiment of the present application, the expression for imaging on the target surface is:

[0029]

[0030] Among them, f k (x′, y′) is the kth local target, h(x'-x, y'-y) is the spatial translation invariant point spread function of the local imaging module and the combined imaging module, is the code corresponding to the kth local image at the position (i, j).

[0031] Optionally, in one embodiment of the present application, the discretized image is:

[0032]

[0033] Among them, Δ 2 is the pixel size of the infrared detector.

[0034] Optionally, in one embodiment of the present application, the solution formula for each local target image is:

[0035]

[0036] subject to rec =Ψθ

[0037] Where g is the detector image, H is the measurement matrix of Gaussian random coding, Ψ is the sparse transformation matrix, θ is the sparse vector, and f rec is the reconstructed local target image.

[0038] The third aspect of the present application provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the large-field-of-view infrared imaging method as described in the above embodiment.

[0039] A fourth aspect of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable the computer to execute the large-field-of-view infrared imaging method as described in the above embodiments.

[0040] The embodiment of the present application can locally image the target light of the encoded target phase based on the target radiation information, and then obtain a discretized image by overlapping and mapping it to the target surface for imaging, and then realize large field of view infrared imaging through image compression, without the need for motion servo components, and easily realize lightweight and miniaturization of the instrument, with low requirements for the mounting platform, good vibration resistance, simple structure, low construction cost, and only one exposure to obtain complete information, with snapshot characteristics, which can be applied to imaging detection of rapidly changing or moving targets. Thus, the technical problems in the related technology that the requirements for external equipment are high, or the system itself is large in size and high in cost, which are not conducive to promotion and application are solved.

[0041] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0043] Figure 1 A flowchart of a large-field-of-view infrared imaging method provided according to an embodiment of the present application;

[0044] Figure 2 A schematic diagram of an optical path of a large-field-of-view infrared imaging method according to an embodiment of the present application;

[0045] Figure 3 A schematic diagram of a local imaging process after primary image encoding of a large field of view infrared imaging method according to an embodiment of the present application;

[0046] Figure 4 It is a schematic diagram of a local image combination compression imaging process of a large field of view infrared imaging method according to an embodiment of the present application;

[0047] Figure 5 A schematic diagram of a detection image reconstruction and stitching process of a large-field-of-view infrared imaging method according to an embodiment of the present application;

[0048] Figure 6 It is a schematic diagram of the principle of a large-field-of-view infrared imaging method according to an embodiment of the present application;

[0049] Figure 7 is a flow chart of a large field of view infrared imaging method according to an embodiment of the present application;

[0050] Figure 8 It is a structural schematic diagram of a large-field-of-view infrared imaging device provided according to an embodiment of the present application;

[0051] Fig. 9 It is a schematic diagram of the structure of an electronic device provided according to an embodiment of the present application. DETAILED DESCRIPTION

[0052] Embodiments of the present application are described in detail below, and examples of the embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0053] The following describes the large field of view infrared imaging method and device of the embodiment of the present application with reference to the accompanying drawings. In view of the technical problems mentioned in the background technology center above that the related technologies have high requirements for external equipment, or the system itself is large in size and cost, which is not conducive to promotion and application, the present application provides a large field of view infrared imaging method, in which the target light of the encoded target phase can be locally imaged based on the target radiation information, and then the image is obtained by overlapping and mapping to the target surface, and a discrete image is obtained, and then the large field of view infrared imaging is realized by image compression. No motion servo components are required, and it is easy to realize the lightweight and miniaturization of the instrument. The requirements for the mounting platform are low, the vibration resistance is good, and the structure is simple, the construction cost is low, and complete information can be obtained with only one exposure. It has the characteristics of snapshot and can be applied to the imaging detection of rapidly changing or moving targets. As a result, the technical problems that the related technologies have high requirements for external equipment, or the system itself is large in size and cost, which are not conducive to promotion and application are solved.

[0054] Specifically, Figure 1 A schematic flow chart of a large-field-of-view infrared imaging method provided in an embodiment of the present application.

[0055] like Figure 1 As shown, the large-field infrared imaging method comprises the following steps:

[0056] In step S101, a coded target image is acquired based on target radiation information.

[0057] In the actual implementation process, the embodiment of the present application can perform spatial-dimensional encoding based on the infrared large-field-of-view image, that is, the target radiation information, so as to obtain the encoded target image, wherein the encoding method may include Hadamard coding, Gaussian random coding and Fourier transform coding, etc. The size of the coding unit can be determined by the pixel size of the infrared detector and the magnification of the imaging system.

[0058] Optionally, in one embodiment of the present application, the encoding formula of the target image is:

[0059]

[0060] Among them, T(x',y') is the encoding method, t i,j is the encoding value at position (i, j), Δ 1 is the size of the coding unit.

[0061] In order to better explain the working principle of the embodiment of the present application, for example, the light path diagram of the embodiment of the present application can be as follows: Figure 2 As shown, the embodiment of the present application may include: a first imaging mirror 101 , a coding template 102 , a field lens 103 , a first lens array 201 , a second lens array 301 , an imaging lens 302 and an infrared detector 400 .

[0062] In the embodiment of the present application, based on the target radiation information, after the target light passes through the first imaging mirror 101, it is imaged at the primary mirror surface and recorded as f(x',y'), and then passes through the coding template 102 to obtain the encoded target image, recorded as f'(x',y'):

[0063] f'(x',y')=T(x',y')f(x',y'),

[0064] Wherein, T(x',y') is the encoding method of the encoding template 102, specifically, t i,j is the encoding value at position (i, j), Δ 1 is the size of the coding unit, the target image before and after coding can be Figure 3 shown.

[0065] Optionally, in one embodiment of the present application, after acquiring the encoded target image, the method further includes: deflecting the target light toward the optical axis so that the target light reaches a local imaging condition.

[0066] Furthermore, if Figure 2 As shown, the embodiment of the present application can utilize the field lens 103 to deflect the encoded target light toward the optical axis, so that the light can pass through the subsequent optical path, thereby achieving local imaging conditions.

[0067] In step S102, local imaging is performed on the target light of the target image to generate multiple local target images, which are overlapped and mapped onto the target surface for imaging to obtain a discretized image.

[0068] As a possible implementation method, the embodiment of the present application can perform local imaging of the target light of the target image, and then generate multiple local target images, and further map the multiple local target images to the target surface for imaging through overlapping, so as to obtain a discrete image. The embodiment of the present application can first perform local imaging of the large-field-of-view infrared target image, so as to facilitate the subsequent encoding and image compression of the local imaging, thereby achieving large-field-of-view infrared imaging that takes into account snapshot, large field of view, low cost and miniaturization.

[0069] Optionally, in one embodiment of the present application, the expression for imaging on the target surface is:

[0070]

[0071] Among them, f k (x′, y′) is the kth local target, h(x'-x, y'-y) is the spatial translation invariant point spread function of the local imaging module and the combined imaging module, is the code corresponding to the kth local image at the position (i, j).

[0072] In the actual implementation process, Figure 2 As shown, in the embodiment of the present application, the first lens array 201 can be used to perform local imaging of the target light, that is, each aperture is a local target f′ after encoding. k (x', y') is imaged and numbered as k = 1, 2, ..., K. For example, the embodiment of the present application can use a 2×2 aperture array for imaging, that is, K = 4. The specific distribution can be as follows Figure 3 shown.

[0073] Furthermore, in the embodiment of the present application, each local target image can be mapped together by overlapping through the second lens array 301, and the imaging lens 302 can couple the overlapping target image to the target surface of the infrared detector 400 for imaging, which is recorded as g(x, y):

[0074]

[0075] Among them, f k(x′, y′) is the kth local target, h(x'-x, y'-y) is the spatial translation invariant point spread function of the local imaging module and the combined imaging module, is the code corresponding to the kth local image at the position (i, j).

[0076] Optionally, in one embodiment of the present application, the discretized image is:

[0077]

[0078] Among them, Δ 2 is the pixel size of the infrared detector.

[0079] In the embodiment of the present application, after the infrared detector 400 receives the image, a discretized image g can be obtained. n,m :

[0080]

[0081] Among them, Δ 2 is the size of the infrared detector with 400 pixels, the above formula can be written as a matrix-vector expression:

[0082]

[0083] in,

[0084] H=[H 1 H 2 ...H K ],

[0085]

[0086] g is used as the detection image (K local target images overlapped by spatial coding modulation), as Figure 4 As shown, store.

[0087] In step S103, compressed sensing reconstruction is performed on the discretized image to obtain reconstructed local target images, which are then stitched together to obtain an infrared large field of view image.

[0088] In the actual implementation process, the embodiment of the present application can perform compressed sensing reconstruction on the discretized image, and then solve the reconstructed local target images, and after further stitching, obtain an infrared large field of view image. The embodiment of the present application can achieve large field of view infrared imaging through image compression, without the need for motion servo components, and it is easy to achieve lightweight and miniaturization of the instrument. It has low requirements for the mounting platform, good vibration resistance, simple structure, low construction cost, and only one exposure is required to obtain complete information. It has a snapshot feature and can be applied to imaging detection of rapidly changing or moving targets.

[0089] Optionally, in one embodiment of the present application, the solution formula for each local target image is:

[0090]

[0091] subject to rec =Ψθ

[0092] Where g is the detector image, H is the measurement matrix of Gaussian random coding, Ψ is the sparse transformation matrix, θ is the sparse vector, and f rec is the reconstructed local target image.

[0093] Specifically, the embodiment of the present application can perform compressed sensing reconstruction on the detection image of the infrared detector 400 to solve the following model:

[0094]

[0095] subject to rec =Ψθ,

[0096] Solve to obtain the reconstructed local target images And through the image plane stitching technology, the infrared large field of view image g is obtained LF ,like Figure 5 As shown, the embodiment of the present application can use 4 apertures to image and stitch local targets.

[0097] Combine the following Figures 2 to 6 As shown, the working principle of the large field of view infrared imaging method of the embodiment of the present application is described in detail by taking an embodiment as an example.

[0098] In order to more clearly explain the working principle of the embodiment of the present application, please refer to Figure 2 and Figure 6 As shown, an embodiment of the present application may include: an acquisition module 100, a first imaging mirror 101, a coding template 102, a field lens 103, a local imaging module 200, a first lens array 201, an imaging module 300, a second lens array 301, an imaging lens 302, an infrared detector 400 and an image processing module 500.

[0099] In the actual implementation process, the first imaging mirror 101 can image the infrared large-field-of-view target light. A coding template 102 is set at the focal plane of the first imaging mirror 101. The coding template 102 can be used to perform spatial dimension encoding on the infrared large-field-of-view image. The encoding methods include Hadamard coding, Gaussian random coding, Fourier transform coding and other coding forms. The size of the coding unit is determined by the 400 pixel size of the infrared detector designed by the instrument and the magnification of the imaging system.

[0100] The field lens 103 is arranged adjacent to the coding template 102, and the coding template 102 is arranged on the front surface of the field lens 103. The local imaging module 200 may include a first lens array 201, and the first lens array 201 may image each local image after spatial coding modulation of the first imaging lens 101.

[0101] The image combining module 300 may include a second lens array 301 and an imaging lens 302. The lens array 301 may overlap and map the local images formed by the lens array 201. The imaging lens 302 may scale the overlapping local images to the size of the target surface of the infrared detector 400 and couple with the target surface of the infrared detector 400.

[0102] The infrared detector 400 can be used to receive and collect the encoded and compressed information.

[0103] The image processing module 500 can be a computer, which is used for storing and calculating the detected image. The calculation includes a field of view synthesis algorithm and an image reconstruction algorithm based on compressed sensing. Through the reconstruction algorithm of compressed sensing, such as orthogonal matching tracking, compressed sampling matching tracking, gradient projection sparse reconstruction, minimum absolute shrinkage and selection operator method, threshold hard iteration method, subspace tracking and neural network algorithm, the information obtained by the infrared detector 400 is inverted, and the local target images of the target image formed by the first imaging mirror 101 can be obtained. Through the field of view synthesis algorithm, the local target images can be spliced ​​to obtain an infrared large field of view image.

[0104] Furthermore, if Figure 7 As shown, the embodiment of the present application may include the following steps:

[0105] Step S701: Obtain the encoded target image. Figure 2 As shown, in the embodiment of the present application, based on the target radiation information, after the target light passes through the first imaging mirror 101, it is imaged at the primary mirror surface and recorded as f(x',y'), and then after passing through the coding template 102, the coded target image is obtained, which is recorded as f'(x',y'):

[0106] f'(x',y')=T(x',y')f(x',y'),

[0107] Wherein, T(x',y') is the encoding method of the encoding template 102, specifically, t i,j is the encoding value at position (i, j), Δ 1 is the size of the coding unit, the target image before and after coding can be Figure 3 shown.

[0108] Step S702: Deflect the encoded target light toward the optical axis. Figure 2As shown, the embodiment of the present application can utilize the field lens 103 to deflect the encoded target light toward the optical axis, so that the light can pass through the subsequent optical path, thereby achieving local imaging conditions.

[0109] Step S703: Perform local imaging on the target light. Figure 2 As shown, in the embodiment of the present application, the first lens array 201 can be used to perform local imaging of the target light, that is, each aperture is a local target f′ after encoding. k (x', y') is imaged and numbered as k = 1, 2, ..., K. For example, the embodiment of the present application can use a 2×2 aperture array for imaging, that is, K = 4. The specific distribution can be as follows Figure 3 shown.

[0110] Step S704: Overlap and map each local target image. Further, in the embodiment of the present application, each local target image can be overlapped and mapped together through the second lens array 301, and the imaging lens 302 can couple the overlapped target image to the target surface of the infrared detector 400 for imaging, which is recorded as g(x, y):

[0111]

[0112] Among them, f k (x′, y′) is the kth local target, h(x'-x, y'-y) is the spatial translation invariant point spread function of the local imaging module and the combined imaging module, is the code corresponding to the kth local image at the position (i, j).

[0113] Step S705: Obtain a discretized image. In the embodiment of the present application, after the infrared detector 400 receives the image, a discretized image g can be obtained. n,m :

[0114]

[0115] Among them, Δ 2 is the size of the infrared detector with 400 pixels, the above formula can be written as a matrix-vector expression:

[0116]

[0117] in,

[0118] H=[H 1 H 2 ...H K ],

[0119]

[0120] g is used as the detection image (K local target images overlapped by spatial coding modulation), as Figure 4 As shown, store.

[0121] Step S706: Perform compressed sensing reconstruction on the detected image. Specifically, the embodiment of the present application can perform compressed sensing reconstruction on the detected image of the infrared detector 400 to solve the following model:

[0122]

[0123] subject to rec =Ψθ,

[0124] Solve to obtain the reconstructed local target images And through the image plane stitching technology, the infrared large field of view image g is obtained LF ,like Figure 5 As shown, the embodiment of the present application can use 4 apertures to image and stitch local targets.

[0125] According to the large-field infrared imaging method proposed in the embodiment of the present application, the target light of the encoded target phase can be locally imaged based on the target radiation information, and then the image is mapped to the target surface through overlapping to obtain a discrete image, and then the large-field infrared imaging is realized through image compression. No motion servo components are required, and it is easy to achieve lightweight and miniaturization of the instrument. The requirements for the mounting platform are low, the vibration resistance is good, and the structure is simple, the construction cost is low, and only one exposure is required to obtain complete information. It has the characteristics of snapshot and can be applied to the imaging detection of rapidly changing or moving targets. Therefore, the technical problems in the related technology that the requirements for external equipment are high, or the system itself is large in size and high in cost, which are not conducive to promotion and application are solved.

[0126] Next, a large-field-of-view infrared imaging device proposed according to an embodiment of the present application will be described with reference to the accompanying drawings.

[0127] Figure 8 It is a block diagram of a large field of view infrared imaging device according to an embodiment of the present application.

[0128] like Figure 8 As shown, the large-field-of-view infrared imaging device 10 includes: an acquisition module 100 , a local imaging module 200 and an imaging module 300 .

[0129] Specifically, the acquisition module is used to acquire a coded target image based on target radiation information.

[0130] The local imaging module 200 is used to perform local imaging on the target light of the target image, generate multiple local target images, and overlap and map them onto the target surface to obtain a discretized image.

[0131] The image combination module 300 is used to perform compressed sensing reconstruction on the discretized image, solve to obtain the reconstructed local target images, and stitch them together to obtain the infrared large field of view image.

[0132] Optionally, in one embodiment of the present application, the large-field-of-view infrared imaging device 10 further includes: a deflection module.

[0133] The deflection module is used to deflect the target light toward the optical axis so that the target light reaches the local imaging condition.

[0134] Optionally, in one embodiment of the present application, the encoding formula of the target image is:

[0135]

[0136] Among them, T(x',y') is the encoding method, t i,j is the encoding value at position (i, j), Δ 1 is the size of the coding unit.

[0137] Optionally, in one embodiment of the present application, the expression for imaging on the target surface is:

[0138]

[0139] Among them, f k (x′, y′) is the kth local target, h(x'-x, y'-y) is the spatial translation invariant point spread function of the local imaging module and the combined imaging module, is the code corresponding to the kth local image at the position (i, j).

[0140] Optionally, in one embodiment of the present application, the discretized image is:

[0141]

[0142] Among them, Δ 2 is the pixel size of the infrared detector.

[0143] Optionally, in one embodiment of the present application, the solution formula for each local target image is:

[0144]

[0145] subject to rec =Ψθ

[0146] Where g is the detector image, H is the measurement matrix of Gaussian random coding, Ψ is the sparse transformation matrix, θ is the sparse vector, and f rec is the reconstructed local target image.

[0147] It should be noted that the aforementioned explanation of the embodiment of the large-field-of-view infrared imaging method is also applicable to the large-field-of-view infrared imaging device of this embodiment, and will not be repeated here.

[0148] According to the large-field-of-view infrared imaging device proposed in the embodiment of the present application, the target light of the encoded target phase can be locally imaged based on the target radiation information, and then the discrete image is obtained by overlapping and mapping to the target surface imaging, and then the large-field-of-view infrared imaging is realized by image compression. No motion servo components are required, and it is easy to realize the lightweight and miniaturization of the instrument. The requirements for the mounting platform are low, the vibration resistance is good, and the structure is simple, the construction cost is low, and only one exposure is required to obtain complete information. It has the characteristics of snapshot and can be applied to the imaging detection of rapidly changing or moving targets. Therefore, the technical problems in the related technology that the requirements for external equipment are high, or the system itself is large in size and high in cost, which are not conducive to promotion and application are solved.

[0149] Fig. 9 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. The electronic device may include:

[0150] A memory 901 , a processor 902 , and a computer program stored in the memory 901 and executable on the processor 902 .

[0151] When the processor 902 executes the program, the large-field-of-view infrared imaging method provided in the above embodiment is implemented.

[0152] Furthermore, the electronic device further comprises:

[0153] The communication interface 903 is used for communication between the memory 901 and the processor 902 .

[0154] The memory 901 is used to store computer programs that can be executed on the processor 902 .

[0155] The memory 901 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0156] If the memory 901, the processor 902 and the communication interface 903 are implemented independently, the communication interface 903, the memory 901 and the processor 902 can be connected to each other through a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Fig. 9 Only one thick line is used in the diagram, but this does not mean that there is only one bus or only one type of bus.

[0157] Optionally, in a specific implementation, if the memory 901, the processor 902 and the communication interface 903 are integrated on a chip, the memory 901, the processor 902 and the communication interface 903 can communicate with each other through an internal interface.

[0158] The processor 902 may be a central processing unit (CPU), or an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0159] This embodiment also provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, the above-mentioned large-field-of-view infrared imaging method is implemented.

[0160] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradiction.

[0161] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0162] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may not be performed in the order shown or discussed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by technicians in the technical field to which the embodiments of the present application belong.

[0163] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purpose of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or N wirings (electronic devices), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways if necessary, and then stored in a computer memory.

[0164] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiment, the N steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0165] A person skilled in the art may understand that all or part of the steps in the method for implementing the above-mentioned embodiment may be completed by instructing related hardware through a program, and the program may be stored in a computer-readable storage medium, which, when executed, includes one or a combination of the steps of the method embodiment.

[0166] In addition, each functional unit in each embodiment of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. If the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0167] The storage medium mentioned above may be a read-only memory, a magnetic disk or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limiting the present application. A person of ordinary skill in the art may change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A method for large field of view infrared imaging, It is characterized in that The following steps are involved: Based on the target radiation information, a coded target image is obtained; Performing local imaging on the target light of the target image to generate multiple local target images, and overlapping and mapping them onto the target surface to obtain a discretized image; as well as Performing compressed sensing reconstruction on the discretized image, solving to obtain reconstructed local target images, and stitching them together to obtain an infrared large field of view image; Among them, the encoding formula of the target image is: Among them, T(x',y') is the encoding method, t i,j is the encoding value at position (i, j), Δ 1 is the size of the coding unit; Among them, the expression of imaging on the target surface is: Among them, f k (x′, y′) is the kth local target, h(x'-x, y'-y) is the spatial translation invariant point spread function of the local imaging module and the combined imaging module, is the code corresponding to the kth local image at the position (i, j).

2. The method according to claim 1, It is characterized in that After acquiring the coded target image, the method further includes: The target light is deflected toward the optical axis so that the target light reaches a local imaging condition.

3. The method according to claim 1, It is characterized in that The discretized image is: Among them, Δ 2 is the pixel size of the infrared detector.

4. The method according to claim 3, It is characterized in that The solution formula for each local target image is: Where g is the detector image, H is the measurement matrix of Gaussian random coding, Ψ is the sparse transformation matrix, θ is the sparse vector, and f rec is the reconstructed local target image.

5. A large field of view infrared imaging device, It is characterized in that include: An acquisition module, used for acquiring a coded target image based on target radiation information; A local imaging module, used for performing local imaging of the target light of the target image, generating multiple local target images, and overlapping and mapping them onto the target surface for imaging, to obtain a discretized image; and An image combination module is used to perform compressed sensing reconstruction on the discretized image, solve to obtain reconstructed local target images, and stitch them together to obtain an infrared large field of view image; Among them, the encoding formula of the target image is: Among them, T(x',y') is the encoding method, t i,j is the encoding value at position (i, j), Δ 1 is the size of the coding unit; Among them, the expression of imaging on the target surface is: where f k (x′, y′) is the k-th local target, and h(x'-x, y'-y) is the space translation invariant point spread function of the local imaging module and the image combining module. is the encoding corresponding to the k-th local image at the position (i, j).

6. The device according to claim 5, It is characterized in that Also includes: The deflection module is used to deflect the target light toward the optical axis so that the target light reaches a local imaging condition.

7. An electronic device, It is characterized in that include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the large-field-of-view infrared imaging method as described in any one of claims 1 to 4.

8. A computer-readable storage medium having a computer program stored thereon, It is characterized in that The program is executed by a processor to implement the large-field-of-view infrared imaging method as described in any one of claims 1 to 4.

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