Image calibration method and device of imaging system

Abstract

The invention relates to an image calibration method and device of an imaging system, the imaging system at least comprises a three-color laser, a binary diffraction optical element II and a transmission-type spatial light modulator, and three-color laser emitted by the three-color laser enters the transmission-type spatial light modulator through the binary diffraction optical element II for imaging. The image calibration method comprises the following steps: shooting an image of a target picture formed by an imaging system to obtain a real shot image; judging whether the real shot image is consistent with a pre-stored reference image of the target picture or not; if not, the imaging parameters of the imaging system are adjusted so that the real shot image can be consistent with the reference image, through the above mode, the image calibration method and device can automatically calibrate the image, and time and labor are saved.

Description

Technical Field

[0001] The present invention relates to the technical field of image processing, and particularly to an image calibration method and device for an imaging system. Background Art

[0002] A laser imaging system is a system that uses red, green, and blue lasers as light sources for imaging, and has advantages such as high brightness, high contrast, wide color gamut, and long lifespan. It can be applied to devices such as projectors, laser TVs, rangefinders with display devices, etc., to achieve higher color expressiveness and picture brightness.

[0003] The laser imaging system mainly includes red, green, and blue laser light sources and a spatial light modulator, and uses the spatial light modulator to modulate the red, green, and blue laser beams for imaging. Due to reasons such as processing errors or misalignment during assembly and adjustment, the laser imaging system is prone to problems such as image distortion or deformation. Therefore, image calibration of the laser imaging system is required before leaving the factory. However, the existing calibration methods are usually manual calibration. For example, by manually observing whether the image formed by the laser imaging system is distorted, deformed, etc., and manually adjusting parameters according to the observation results. The manual method is time-consuming and laborious, reducing production efficiency. Summary of the Invention

[0004] Based on this, in view of the above technical problems, it is necessary to provide an image calibration method and device for an imaging system that can automatically calibrate images, saving time and effort.

[0005] In a first aspect, the present invention provides an image calibration method for an imaging system. The imaging system at least includes a three-color laser, a binary diffractive optical element two, and a transmissive spatial light modulator. The three-color laser light emitted by the three-color laser is incident on the transmissive spatial light modulator through the binary diffractive optical element two for imaging. The image calibration method includes:

[0006] Taking an image formed by the imaging system of a target picture to obtain a captured image;

[0007] Judging whether the captured image is consistent with a reference image of the target picture stored in advance;

[0008] If not, adjusting the imaging parameters of the imaging system to make the captured image consistent with the reference image.

[0009] Further, judging whether the captured image is consistent with the reference image of the target picture stored in advance includes:

[0010] Judging whether the captured image has color distortion relative to the reference image. If so, judging that the captured image and the reference image are inconsistent.

[0011] Further, judging whether the captured image has color distortion relative to the reference image includes:

[0012] Obtain the RGB values of the actual captured image and the RGB values of the reference image;

[0013] Determine whether the RGB values of the actual captured image are the same as the RGB values of the reference image. If not, then determine that the actual captured image has color distortion relative to the reference image;

[0014] Adjusting the imaging parameters of the imaging system includes: adjusting the RGB values of the three-color lasers according to the difference between the RGB values of the actual captured image and the RGB values of the reference image.

[0015] Further, determining whether the actual captured image is consistent with the target image of the target screen stored in advance includes:

[0016] Determine whether the actual captured image is deformed relative to the reference image. If so, then determine that the actual captured image and the reference image are inconsistent;

[0017] Adjusting the imaging parameters of the imaging system includes: performing an operation on the actual captured image and the reference image according to the non-blind deconvolution algorithm to obtain the blur factor matrix K; according to the inverse matrix K of the blur factor matrix K -1 Adjust the phase diagram of the transmissive spatial light modulator, and import the adjusted phase diagram into the transmissive spatial light modulator.

[0018] Further, determining whether the actual captured image is consistent with the reference image of the target screen stored in advance includes:

[0019] Determine whether the position of the actual captured image is offset relative to the position of the reference image. If so, then determine that the actual captured image and the reference image are inconsistent.

[0020] Further, determining whether the position of the actual captured image is offset relative to the position of the reference image includes:

[0021] Obtain the phase of the actual captured image and the phase of the reference image;

[0022] Determine whether the phase of the actual captured image is the same as the phase of the reference image. If not, then it is determined that the position of the actual captured image is offset relative to the position of the reference image;

[0023] Adjusting the imaging parameters of the imaging system includes: calculating the phase difference between the actual captured image and the reference image according to the phase of the actual captured image and the phase of the reference image; adjusting the phase diagram of the transmissive spatial light modulator according to the phase difference, and importing the adjusted phase diagram into the transmissive spatial light modulator.

[0024] Second aspect, the present invention provides an image calibration device for an imaging system. The imaging system at least includes a three-color laser, a binary diffractive optical element two, and a transmissive spatial light modulator. The three-color laser emits three-color laser light that enters the transmissive spatial light modulator through the binary diffractive optical element two for imaging. The image calibration device includes:

[0025] An imaging module, configured to capture an image formed by the imaging system for a target image, and obtain a captured image;

[0026] A judgment module, configured to judge whether the captured image is consistent with a reference image of the target image stored in advance;

[0027] A calibration module, configured to, when the captured image is inconsistent with the reference image, adjust the imaging parameters of the imaging system to make the captured image consistent with the reference image.

[0028] Further, the judgment module is specifically configured to judge whether color distortion occurs in the captured image relative to the reference image. If so, it is judged that the captured image and the reference image are inconsistent.

[0029] Further, the judgment module is specifically configured to:

[0030] Obtain the RGB values of the captured image and the RGB values of the reference image;

[0031] Judge whether the RGB values of the captured image and the RGB of the reference image are the same. If not, it is judged that color distortion has occurred in the captured image relative to the reference image;

[0032] The calibration module is specifically configured to adjust the RGB values of the three-color laser according to the difference between the RGB values of the captured image and the RGB values of the reference image.

[0033] Further, the judgment module is specifically configured to judge whether distortion occurs in the captured image relative to the reference image. If so, it is judged that the captured image and the reference image are inconsistent;

[0034] The calibration module is specifically configured to perform an operation on the captured image and the reference image according to a non-blind deconvolution algorithm to obtain a blur factor matrix K; according to the inverse matrix K of the blur factor matrix K -1 Adjust the phase diagram of the transmissive spatial light modulator, and import the adjusted phase diagram into the transmissive spatial light modulator.

[0035] The above describes an image calibration method for an imaging system. By obtaining the actual captured image and the reference image of the same target scene for comparison, when the actual captured image and the reference image are inconsistent, it indicates that there is a problem with the imaging system and a normal image cannot be formed. At this time, the imaging parameters of the imaging system are adjusted to make the actual captured image and the reference image consistent, so that the imaging system can form a normal image. Through the above method, the present invention can automatically perform image calibration, saving time and effort. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 FIG. is a schematic diagram of an application scenario of an image calibration method provided by an embodiment of the present invention;

[0037] Figure 2 FIG. is a flowchart of the image calibration method provided by an embodiment of the present invention;

[0038] Figure 3 FIG. is a schematic diagram of the color distortion of the actual captured image relative to the reference image provided by an embodiment of the present invention;

[0039] Figure 4 FIG. is a schematic diagram of the deformation of the actual captured image relative to the reference image provided by an embodiment of the present invention;

[0040] Figure 5 FIG. is a schematic diagram of the position offset of the actual captured image relative to the reference image provided by an embodiment of the present invention;

[0041] Figure 6 FIG. is a schematic diagram of the structure of an image calibration device provided by an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0042] In order to make the objectives, technical solutions and advantages of the present invention more clear and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0043] The image calibration method provided by an embodiment of the present invention can be applied to an imaging system using a laser as a light source. As Figure 1As shown, the imaging system includes at least a three-color laser 11, a binary diffractive optical element 2 15, and a transmissive spatial light modulator 12. The three-color laser 11 emits red, green, and blue lasers. The three-color lasers pass through the binary diffractive optical element 2 15 and become parallel beams that enter the transmissive spatial light modulator 12. The transmissive spatial light modulator 12 is used to modulate the three-color lasers, thereby forming an image. Further, the imaging system may further include a diaphragm 13, a binary diffractive optical element 1 14, and a mirror 16. The imaging principle of the imaging system is as follows: The three-color (red, green, and blue) laser 11 emits three-color lasers to the diaphragm 13 in proportion, namely red light, green light, and blue light. The diaphragm 13 confines the incident light beam within the range acceptable to the system. The binary diffractive optical element 1 14 can equalize the light energy, thereby reducing the negative impact caused by uneven energy. The binary diffractive optical element 2 15 collimates the light beam to generate parallel light. The mirror 16 reflects the parallel light into the transmissive spatial light modulator 12, and the mirror 16 can shorten the optical path of the system. The transmissive spatial light modulator 12 is composed of a liquid crystal array. The image calibration device imports a pre-calculated phase diagram into the transmissive spatial light modulator 12, and controls the deflection of the liquid crystal array of the spatial light modulator 12 through voltage, so that the incident parallel light beam can form a theoretical image. In other words, when the imaging system is normal, that is, there are no problems such as configuration errors, processing errors, or alignment errors, the imaging system can form a correct image, that is, the image that can be formed theoretically using the pre-calculated phase diagram. However, in the actual production process, there may be problems such as configuration errors, processing errors, or alignment errors, resulting in color distortion, image deformation, or position deviation in the image formed by the imaging system, that is, a wrong image is formed. Through the image calibration method and device of the present invention, the imaging system can be calibrated, so that the imaging system can form a correct image.

[0044] Specifically, referring to Figure 2 , a method for calibrating an image of an imaging system provided by an embodiment of the present invention includes the following steps:

[0045] Step S201: Photograph the image formed by the imaging system for the target picture to obtain a real-shot image.

[0046] Among them, before step S201, first calculate the phase diagram of the transmissive spatial light modulator 12 according to the target picture, that is, the phase diagram required for the transmissive spatial light modulator 12 to form the image of the target picture, and then import the phase diagram into the transmissive spatial light modulator 12, so that the transmissive spatial light modulator 12 modulates and forms an image of the three-color lasers of the three-color laser 11, and thus the imaging system realizes imaging of the target picture.

[0047] The target image can be selected according to actual needs and can be an image of a plant, an animal, or a certain item. The target image is imaged by an imaging system, and then the image formed by the imaging system is photographed by a photographing mechanism such as a camera, thereby obtaining a real-shot image.

[0048] Step S201: Determine whether the real-shot image is consistent with the reference image of the target image stored in advance.

[0049] The reference image is the image that the imaging system can form for the target image in a normal state, that is, the correct image. By determining whether the real-shot image is consistent with the reference image, it is possible to determine whether the imaging system is abnormal.

[0050] Step S203: If they are inconsistent, adjust the imaging parameters of the imaging system so that the real-shot image is consistent with the reference image.

[0051] Among them, if the real-shot image is consistent with the reference image, it means that the imaging system can form a correct image, and at this time, the calibration process ends.

[0052] When the real-shot image is inconsistent with the reference image, it means that the imaging system is abnormal and cannot form a correct image. At this time, the imaging parameters of the imaging system are adjusted so that the real-shot image is consistent with the reference image. At this time, it means that the imaging system can form a correct image, thereby realizing the calibration of the imaging system. In the above manner, the present invention can automatically perform image calibration, saving time and effort.

[0053] The imaging parameters of the imaging system in the embodiments of the present invention include the RGB ratio of the three-color laser 11 and the phase diagram of the transmissive spatial light modulator 12. By adjusting the RGB ratio of the three-color laser 11 and / or the phase diagram of the transmissive spatial light modulator 12, the imaging system can be calibrated.

[0054] Specifically, the image calibration method in the embodiments of the present invention can automatically solve the problem of image color distortion caused by incorrect configuration of the three-color ratio of the three-color laser.

[0055] Further, in some embodiments, determining whether the real-shot image is consistent with the reference image of the target image stored in advance includes: determining whether color distortion occurs in the real-shot image relative to the reference image. If so, it is determined that the real-shot image is inconsistent with the reference image.

[0056] Among them, the specific steps for determining whether color distortion occurs in the real-shot image relative to the reference image include: obtaining the RGB values of the real-shot image and the RGB values of the reference image; determining whether the RGB values of the real-shot image are the same as the RGB values of the reference image. If not, it is determined that color distortion has occurred in the real-shot image relative to the reference image.

[0057] Such as Figure 3As shown, taking the target screen as an example of a dark green tree screen, the image formed by a normal imaging system should be dark green, that is, the color of the tree in the reference image b is dark green, and the RGB value is 0:128:0; however, the color of the tree in the actual captured image a is shown as yellow, and the RGB value is 255:255:0. By comparison, it can be seen that the RGB values of the actual captured image a and the reference image b are different. At this time, it is judged that the actual captured image a has color distortion, and the RGB value configuration of the three-color laser 11 of the imaging system is incorrect. Therefore, the RGB value of the three-color laser 11 needs to be adjusted. Specifically, adjusting the imaging parameters of the imaging system includes: adjusting the RGB value of the three-color laser according to the difference between the RGB value of the actual captured image and the RGB value of the reference image. Taking the above-mentioned dark green big tree as an example, the differences between the R value, G value, and B value of the actual captured image a and the reference image b are 255, 127, and 0 respectively. Adjusting the RGB value of the three-color laser according to this difference can make the RGB value of the image formed by the imaging system consistent with that of the reference image, that is, the RGB value of the actual captured image is the same as that of the reference image, so as to make the color distortion of the actual captured image disappear and realize the calibration of the color distortion of the imaging system.

[0058] The image calibration method of the embodiment of the present invention can also automatically solve the problem that the image is deformed due to processing errors and alignment errors.

[0059] Further, in some embodiments, determining whether the actual captured image is consistent with the target image of the target screen stored in advance includes: determining whether the actual captured image is deformed relative to the reference image. If so, it is determined that the actual captured image and the reference image are inconsistent.

[0060] As Figure 4 shown, the actual captured image a is deformed relative to the reference image b. Among them, there are various ways to determine whether the actual captured image is deformed. For example, it can be determined whether the actual captured image a is deformed relative to the reference image b by identifying the contour, that is, identifying the contour of the big tree in the actual captured image a and the contour of the big tree in the reference image b. If the two contour shapes are different, the actual captured image a is deformed; or, the width, height, etc. of the big tree can also be calculated, and it can be determined whether the actual captured image a is deformed by comparing whether the width and height of the big tree in the actual captured image a and the reference image b are consistent. If it is deformed, the imaging parameters of the imaging system are adjusted.

[0061] Specifically, adjusting the imaging parameters of the imaging system includes: performing an operation on the actual captured image and the reference image according to the non-blind deconvolution algorithm to obtain the blur factor matrix K; according to the inverse matrix K of the blur factor matrix K -1 Adjust the phase diagram of the transmissive spatial light modulator, and import the adjusted phase diagram into the transmissive spatial light modulator.

[0062] Among them, the actual captured image a is a deformed image of the reference image b. By using the actual captured image a and the reference image b, the convolution factor, that is, the blur factor matrix K, can be calculated through the non-blind deconvolution algorithm in the field of image restoration technology. The blur factor matrix K represents the deformation degree of the actual captured image, or can also be the state of the phase diagram imported into the transmissive spatial light modulator 12. Performing an operation on the actual captured image a and the inverse matrix K -1 of the blur factor matrix K can obtain the reference image b. Therefore, the phase diagram of the transmissive spatial light modulator 12 can be adjusted according to the inverse matrix K -1 and imported into the transmissive spatial light modulator 12, so that the state of the liquid crystal array of the transmissive spatial light modulator 12 changes, thereby enabling the transmissive spatial light modulator 12 to form a correct image, that is, an actual captured image without deformation, and making the shape of the actual captured image consistent with the reference image, thereby realizing the correction of the image deformation of the imaging system.

[0063] The image calibration method of the embodiment of the present invention can also automatically solve the problem of image position deviation caused by processing errors and alignment errors.

[0064] Further, in some embodiments, determining whether the actual captured image is consistent with the reference image of the pre-stored target picture includes: determining whether the position of the actual captured image is shifted relative to the position of the reference image. If so, it is determined that the actual captured image and the reference image are inconsistent. Among them, it can be determined whether the image position has shifted by extracting the phase of the image, or it can also be determined whether the image position has shifted through coordinate information, etc.

[0065] In the embodiment of the present application, determining whether the position of the actual captured image is shifted relative to the position of the reference image includes: obtaining the phase of the actual captured image and the phase of the reference image; determining whether the phase of the actual captured image is the same as the phase of the reference image. If not, it is determined that the position of the actual captured image is shifted relative to the position of the reference image.

[0066] As Figure 5 shown, the actual captured image a has a position shift relative to the reference image b. When the position of the actual captured image is shifted relative to the position of the reference image, the imaging parameters of the imaging system are adjusted.

[0067] Specifically, adjusting the imaging parameters of the imaging system includes: calculating the phase difference between the actual captured image and the reference image according to the phase of the actual captured image a and the phase of the reference image Adjust the phase diagram of the transmissive spatial light modulator, and import the adjusted phase diagram into the transmissive spatial light modulator, so that the state of the liquid crystal array of the transmissive spatial light modulator 12 changes, thereby enabling the transmissive spatial light modulator 12 to form a correct image, that is, a real-shot image without position deviation, so that the position of the real-shot image a is the same as the position of the reference image b, thereby realizing the correction of the image position deviation of the imaging system.

[0068] Through the above method, the image calibration method of the embodiment of the present invention can automatically realize the calibration of image color distortion, image deformation and image position deviation. Among them, the calibration of image color distortion can be carried out first, and then the calibration of image deformation and image position deviation can be carried out in sequence; or the calibration of image deformation can be carried out first, and then the calibration of image color distortion and image position deviation can be carried out in sequence. The calibration order is not specifically limited.

[0069] Refer to Figure 6 and in combination with Figure 1 The embodiment of the present invention also provides an image calibration device 200 for an imaging system. The image calibration device can be used to calibrate the imaging of the imaging system shown in Figure 1 and includes a camera module 21, a judgment module 22 and a calibration module 23.

[0070] Among them, the camera module 21 is used to capture the image formed by the imaging system of the target picture to obtain a real-shot image. The camera module 21 can be a camera. Among them, the phase diagram of the transmissive spatial light modulator 12 can be calculated according to the target picture first, that is, the phase diagram required for the transmissive spatial light modulator 12 to form the image of the target picture, and then the phase diagram is imported into the transmissive spatial light modulator 12, so that the three-color laser of the three-color laser 11 is modulated and imaged by the transmissive spatial light modulator 12, thereby the imaging system realizes the imaging of the target picture.

[0071] The target picture can be selected according to actual needs and can be a picture of a plant, an animal or an item. The imaging system images the target picture, and then the camera module 21 captures the image formed by the imaging system to obtain a real-shot image.

[0072] The judgment module 22 is used to judge whether the real-shot image is consistent with the reference image of the target picture stored in advance; the calibration module 23 is used to calibrate the imaging parameters of the imaging system when the real-shot image is inconsistent with the reference image until the real-shot image is consistent with the reference image.

[0073] When the real-shot image is consistent with the reference image, it indicates that the imaging system can form a correct image, and at this time, the calibration process ends.

[0074] When the real-shot image is inconsistent with the reference image, it indicates that the imaging system is abnormal and cannot form a correct image. At this time, the imaging parameters of the imaging system are adjusted to make the real-shot image and the reference image consistent. At this time, it indicates that the imaging system can form a correct image, thereby realizing the calibration of the imaging system. Through the above method, the present invention can automatically perform image calibration, saving time and effort.

[0075] The image processing device 200 of the present invention can calibrate problems such as image color distortion, image deformation, and image position offset. Specifically, the judgment module 22 is specifically used to judge whether the real-shot image is color-distorted relative to the reference image. If so, it is judged that the real-shot image and the reference image are inconsistent. More specifically, the judgment module 22 is used to: obtain the RGB values of the real-shot image and the reference image; judge whether the RGB values of the real-shot image and the reference image are the same. If not, it is judged that the real-shot image is color-distorted relative to the reference image; the calibration module 23 is specifically used to adjust the RGB values of the three-color laser 11 according to the difference between the RGB values of the real-shot image and the reference image. Thus, the image formed by the imaging system can be color-restored.

[0076] The judgment module 21 can also be specifically used to judge whether the real-shot image is deformed relative to the reference image. If so, it is judged that the real-shot image and the reference image are inconsistent; the calibration module 23 can also be specifically used to perform an operation on the real-shot image and the reference image according to the non-blind deconvolution algorithm to obtain the blur factor matrix K; according to the inverse matrix K of the blur factor matrix K -1 Adjust the phase diagram of the transmissive spatial light modulator, and import the adjusted phase diagram into the transmissive spatial light modulator. Thus, the imaging system can form an image with a correct shape.

[0077] The judgment module 22 can also be specifically used to judge whether the position of the real-shot image is offset relative to the position of the reference image. If so, it is judged that the real-shot image and the reference image are inconsistent. More specifically, the judgment module 22 is used to obtain the phase of the real-shot image and the phase of the reference image; judge whether the phase of the real-shot image and the phase of the reference image are the same. If not, it is judged that the position of the real-shot image is offset relative to the position of the reference image. The calibration module 23 can also be specifically used to calculate the phase difference between the real-shot image and the reference image according to the phase of the real-shot image and the phase of the reference image; adjust the phase diagram of the transmissive spatial light modulator according to the phase difference, and import the adjusted phase diagram into the transmissive spatial light modulator. Thus, the imaging system can form an image with a correct position.

[0078] The above describes an image calibration method for an imaging system. By obtaining the actual captured image and the reference image of the same target scene and comparing them, when the actual captured image and the reference image are inconsistent, it indicates that there is a problem with the imaging system and a normal image cannot be formed. At this time, the imaging parameters of the imaging system are adjusted to make the actual captured image and the reference image consistent, so that the imaging system can form a normal image. Through the above method, the present invention can automatically perform image calibration, saving time and effort.

[0079] The technical features of the above embodiments can be combined arbitrarily. For the sake of concise description, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, it should be considered as the scope described in this specification.

[0080] The above-described embodiments only represent several implementation manners of the present invention. The description is relatively specific and detailed, but it should not be construed as a limitation on the scope of the present invention patent. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present invention, several deformations and improvements can still be made, and these all belong to the protection scope of the present invention. Therefore, the protection scope of the present invention should be subject to the appended claims.

Claims

1. An image calibration method for an imaging system, the imaging system at least comprising a three-color laser, a binary diffractive optical element two, and a transmissive spatial light modulator, wherein the three-color laser light emitted by the three-color laser enters the transmissive spatial light modulator through the binary diffractive optical element two for imaging, characterized in that, The described image calibration method includes: The imaging system captures an image of the target scene to obtain a captured image. Determine whether the captured image is consistent with the reference image of the target scene stored in advance. If not, adjust the imaging parameters of the imaging system to make the captured image consistent with the reference image.

2. The image calibration method according to claim 1, wherein Determining whether the captured image is consistent with the reference image of the target scene stored in advance includes: Determine whether color distortion occurs in the captured image relative to the reference image. If so, determine that the captured image and the reference image are inconsistent.

3. The image calibration method according to claim 2, wherein Determining whether color distortion occurs in the captured image relative to the reference image includes: Obtain the RGB values of the captured image and the RGB values of the reference image. Determine whether the RGB values of the captured image and the RGB values of the reference image are the same. If not, determine that color distortion has occurred in the captured image relative to the reference image. Adjusting the imaging parameters of the imaging system includes: adjusting the RGB values of the three-color laser according to the difference between the RGB values of the captured image and the RGB values of the reference image.

4. The image calibration method according to claim 1, wherein Determining whether the captured image is consistent with the target image of the target scene stored in advance includes: Determine whether distortion occurs in the captured image relative to the reference image. If so, determine that the captured image and the reference image are inconsistent. The imaging parameters for adjusting the imaging system include: performing an operation on the actually captured image and the reference image according to the non-blind deconvolution algorithm to obtain the blur factor matrix K; adjusting the phase map of the transmissive spatial light modulator according to the inverse matrix K of the blur factor matrix K -1 and importing the adjusted phase map into the transmissive spatial light modulator.

5. The image calibration method according to claim 1, wherein Determining whether the captured image is consistent with the reference image of the target scene stored in advance includes: Determine whether the position of the captured image is offset relative to the position of the reference image. If so, determine that the captured image and the reference image are inconsistent.

6. The image calibration method according to claim 5, wherein Determining whether the position of the captured image is offset relative to the position of the reference image includes: Obtain the phase of the captured image and the phase of the reference image. Determine whether the phase of the captured image and the phase of the reference image are the same. If not, determine that the position of the captured image is offset relative to the position of the reference image. Adjusting the imaging parameters of the imaging system includes: calculating the phase difference between the captured image and the reference image according to the phase of the captured image and the phase of the reference image; adjusting the phase map of the transmissive spatial light modulator according to the phase difference, and importing the adjusted phase map into the transmissive spatial light modulator.

7. An image calibration device for an imaging system, the imaging system at least including a three-color laser, a binary diffractive optical element two, and a transmissive spatial light modulator. The three-color laser light emitted by the three-color laser enters the transmissive spatial light modulator through the binary diffractive optical element two for imaging, characterized in that The described image calibration device includes: A camera module for capturing an image of the target scene by the imaging system to obtain a captured image. A judgment module for determining whether the captured image is consistent with the reference image of the target scene stored in advance. A calibration module for adjusting the imaging parameters of the imaging system to make the captured image consistent with the reference image when the captured image and the reference image are inconsistent.

8. The image calibration device according to claim 7, wherein, The judgment module is specifically used to determine whether color distortion occurs in the captured image relative to the reference image. If so, determine that the captured image and the reference image are inconsistent.

9. The image calibration device according to claim 8, characterized in that, The judgment module is specifically used for: Obtain the RGB values of the captured image and the RGB values of the reference image. Determine whether the RGB values of the captured image and the RGB of the reference image are the same. If not, determine that color distortion has occurred in the captured image relative to the reference image. The calibration module is specifically configured to adjust the RGB values of the three-color laser according to the difference between the RGB values of the actual captured image and the RGB values of the reference image.

10. The image calibration device according to claim 7, wherein The judgment module is specifically configured to judge whether the actual captured image is deformed relative to the reference image. If so, it is determined that the actual captured image and the reference image are inconsistent; The calibration module is specifically configured to perform an operation on the actual captured image and the reference image according to the non-blind deconvolution algorithm, so as to obtain the blur factor matrix K; According to the inverse matrix K of the fuzzy factor matrix K -1 Adjust the phase diagram of the transmissive spatial light modulator, and import the adjusted phase diagram into the transmissive spatial light modulator.

Images