Combined type holographic imaging system and method based on voxel interference and refraction field regulation and control

Abstract

The invention provides a composite holographic imaging system and method based on voxel interference and refraction field regulation and control, and belongs to the technical field of holographic imaging. Comprising a light field information acquisition module which is used for establishing a light field intersection and interference model, obtaining the position of an ith pixel point xs in the light field intersection and interference model, emitting red, green and blue light according to the ith pixel point xs, obtaining brightness values k of the red, green and blue light, and constructing a minimum interference coefficient grs and a final imaging position offset coefficient wzxs, and a preset threshold value, a preset interference threshold value and a position offset threshold value are evaluated respectively to generate a corresponding strategy. A light field intersection and interference model is established through the light field information acquisition module, three-dimensional information in the environment can be acquired more accurately, and constructive interference and destructive interference technologies of coherent light are adopted, so that a light source can control the light emitting effect of each pixel point more accurately, color shift is reduced, and imaging is clearer and more real.

Description

Technical Field

[0001] The present invention relates to the field of holographic imaging technology, and in particular to a composite holographic imaging system and method based on voxel interference and refraction field regulation. Background Art

[0002] Three-dimensional laser interferometer voxel imaging systems can be used for environmental perception in autonomous vehicles, providing accurate three-dimensional map generation and obstacle recognition. Computational optical refraction field imaging systems can display navigation information or entertainment content in the vehicle. A hybrid holographic imaging system based on voxel interferometry and refraction field manipulation, combining three-dimensional laser interferometer voxel imaging with computational optical refraction field imaging, provides an innovative solution for autonomous driving environmental perception and in-vehicle display systems. In terms of environmental perception, the system uses a light field information acquisition module to establish a light field intersection and interference model, achieving high-precision three-dimensional imaging of the surrounding environment. The system optimizes imaging quality based on parameters such as pixel brightness, color reproduction accuracy, and interference noise, improving the perception capabilities of the autonomous driving system. In terms of in-vehicle display, the system uses computational holography and Fresnel lens array light path bending technology to control the direction of light refraction, allowing the driver and passenger to see different image content, such as navigation information for the driver and entertainment videos for the passenger, enhancing the flexibility and personalization of information interaction.

[0003] However, the current technology still has some shortcomings. For example, in complex lighting environments, background light interference will affect the imaging quality, and background light interference compensation technology is needed to optimize the image uniformity and color reproduction accuracy. In addition, in the refractive optical system, factors such as the refractive index change of the artificial medium, lens error, and pixel offset will affect the final imaging effect. When there is a problem with the imaging, it can easily cause danger to the driver. Therefore, a composite holographic imaging system and method based on voxel interference and refractive field control is proposed. Summary of the Invention

[0004] In order to overcome the above deficiencies, the present invention provides a composite holographic imaging system and method based on voxel interference and refraction field control, which overcomes the above technical problems or at least partially solves the above problems.

[0005] The present invention is achieved in that:

[0006] The present invention provides a composite holographic imaging system based on voxel interference and refraction field control, comprising:

[0007] The light field information acquisition module is used to establish a light field intersection and interference model, obtain the position of the i-th pixel point xs in the light field intersection and interference model, and obtain the brightness value k of the red, green and blue light emitted by the i-th pixel point xs, as well as the distance between the i-th pixel point xs and the light source;

[0008] The analysis module is used to obtain the correction coefficient by combining the unit vector of each row in the light field intersection and interference model with the distance between the pixel point xs and the point light source, and to construct the minimum interference coefficient grs for the laser scattered brightness uniformity and color restoration accuracy in the three-dimensional laser interference voxel imaging. The light path is bent according to the Fresnel lens array, and the final imaging position offset coefficient wzxs is obtained by combining the refractive index of the initial medium, the refractive index of the artificial medium, the incident angle, the refraction angle, the thickness of the artificial medium, the lateral offset of the pixel point xs, and the longitudinal offset of the pixel point xs. The coefficients are evaluated with the preset threshold, the preset interference threshold and the position offset threshold respectively to generate the corresponding strategy.

[0009] In a preferred solution, the light field information acquisition module includes an acquisition unit and establishes a light field intersection and interference model;

[0010] A light field intersection and interference model was established to derive the light propagation path according to the Helmholtz equation. Three surfaces emitting red, green, and blue light were constructed based on the point light sources of the three primary colors of light. These three surfaces were then arranged at 109.47° angles, giving each pixel xs a three-dimensional light source configuration. Each surface was represented by a directional vector matrix.

[0011] The acquisition unit is used to display a pixel point xs in a field intersection and interference model based on diffuse reflection formed by the intersection of laser beams in the air, where 1, 2, 3, ...i,i represents the i-th pixel point, and to construct a three-dimensional model in space, and to acquire the position of the i-th pixel point xs (x, y, z) in the three-dimensional model, and to obtain the brightness values k of the red, green and blue light according to the emission of red, green and blue light by the i-th pixel point xs, and to obtain the distance between the i-th pixel point xs and the light source with the i-th pixel point xs as the punctuation point.

[0012] In a preferred embodiment, the analysis module includes an identification unit and an extraction unit;

[0013] The recognition unit is used to identify the position of the i-th pixel point xs in the space and combine the brightness values k of the red, green and blue light emitted by the pixel point xs to obtain the RGB value of the integrated pixel point xs through a summation formula;

[0014] According to the direction vector matrix, each row of unit vectors is obtained, combined with the distance between the pixel point xs and the point light source, and the light field optimization objective function is obtained through the direction vector matrix. The function is used to calculate the minimized illumination unevenness bjy.

[0015] In a preferred solution, the extraction unit is used to obtain the correction coefficient after dimensionless processing of the minimized illumination unevenness bjy and the RGB value of the integrated pixel point xs.

[0016] In a preferred embodiment, the correction coefficient is compared with a preset threshold value, the preset threshold value includes a first threshold value and a second threshold value, and the first threshold value is greater than the second threshold value;

[0017] When the correction coefficient is greater than the first threshold, it indicates that the RGB value of the current integrated pixel xs is abnormal and the brightness needs to be increased by 30%;

[0018] When the second threshold < correction coefficient ≤ first threshold, it means that the RGB value of the current integrated pixel xs is abnormal, but lower than the abnormal value when the correction coefficient is greater than the first threshold, and the brightness needs to be increased by 10%;

[0019] When the correction coefficient is less than or equal to the second threshold, it indicates that the RGB value of the current integrated pixel point xs is normal and no brightness adjustment is required.

[0020] In a preferred embodiment, the identification unit further includes a background light interference subunit and a refraction influence subunit;

[0021] The background light interference subunit includes a compensation factor, and the background light interference subunit is used to correlate the brightness uniformity of laser scatter points with the color restoration accuracy in three-dimensional laser interference voxel imaging;

[0022] Background light interference sources include ambient light and system internal optical noise;

[0023] The background light interference sources are summed up to obtain the comprehensive background light interference coefficient, and the compensation factor is used to compensate for several comprehensive background light coefficients to finally obtain the minimum interference coefficient grs.

[0024] In a preferred solution, the minimum interference coefficient grs is evaluated with a preset interference threshold;

[0025] When the minimum interference coefficient grs is greater than the preset interference threshold, it indicates that the current background light interference is abnormal, the imaging quality is unqualified, and the laser system needs to be further optimized or adjusted;

[0026] When the minimum interference coefficient grs ≤ the preset interference threshold, it means that there is no abnormality in the current background light interference and the imaging quality is qualified.

[0027] In a preferred embodiment, the refraction influencing subunit is used to generate a light field based on the computer-generated hologram (CGH), and to pass the light source through an artificial medium to change the direction of the light, to bend the light path according to the Fresnel lens array, and to perform dimensionless processing based on the refractive index of the initial medium, the refractive index of the artificial medium, the angle of incidence, the angle of refraction, the thickness of the artificial medium, the lateral offset of the pixel point xs, and the longitudinal offset of the pixel point xs, thereby obtaining the final imaging position offset coefficient wzxs.

[0028] In a preferred solution, the final imaging position offset coefficient wzxs is evaluated with a preset position offset threshold;

[0029] When the final imaging position offset coefficient wzxs> the position offset threshold, it means that the current final imaging is unqualified and the optical parameters need to be optimized;

[0030] When the final imaging position offset coefficient wzxs ≤ the position offset threshold, it means that the current final imaging is qualified and the optical parameters need to be adjusted;

[0031] When the final imaging position offset coefficient wzxs>>position offset threshold, an alarm instruction is generated and the optical parameters need to be adjusted urgently.

[0032] In a preferred embodiment, a hybrid holographic imaging method based on voxel interference and refraction field control includes:

[0033] S1: First, a light field intersection and interference model is established, and three surfaces are constructed based on the point light sources of the three primary colors of light. Then, the acquisition unit is used to obtain the position of the i-th pixel point xs in the model and the distance between the i-th pixel point and the light source;

[0034] S2: Then obtain the three-dimensional coordinates of the i-th pixel point xs, and then obtain the brightness values k of the red, green and blue light emitted by the i-th pixel point xs, obtain the RGB value of the integrated pixel point xs, and use the light field optimization objective function to obtain the minimized illumination unevenness bjy based on the RGB value of the integrated pixel point xs. Correct the illumination unevenness and evaluate it with the preset threshold to generate a corresponding strategy to ensure the imaging effect;

[0035] S3: Finally, the coefficients affecting the imaging are obtained, including the minimum interference coefficient grs and the final imaging position offset coefficient wzxs. The minimum interference coefficient grs is evaluated with the preset interference threshold, and the final imaging position offset coefficient wzxs is evaluated with the position offset threshold to generate a relative strategy to ensure qualified imaging.

[0036] The present invention provides a composite holographic imaging system and method based on voxel interference and refraction field control, which has the following beneficial effects:

[0037] 1. The light field information acquisition module establishes a light field intersection and interference model, enabling more accurate acquisition of 3D information in the environment, including pixel location, light source distance, and color brightness values. This improves the autonomous driving system's ability to detect obstacles, road boundaries, pedestrians, and vehicles. The analysis module calculates pixel brightness, color reproduction accuracy, and the minimum interference coefficient (GRS), effectively compensating for background light interference and internal noise in the optical system, improving the color accuracy and brightness uniformity of 3D images. The constructive and destructive interference of coherent light enables the light source to more precisely control the luminous effect of each pixel, reducing color shift and resulting in clearer and more realistic images.

[0038] 2. By calculating the imaging position offset coefficient wzxs and combining it with parameters such as the initial medium refractive index, artificial medium refractive index, incident angle, refraction angle, medium thickness, pixel offset, etc., the system can accurately calibrate the position of holographic imaging, reduce optical system errors, and improve image stability and accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments. It should be understood that the following drawings only illustrate certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can be obtained based on these drawings without paying any creative work.

[0040] Figure 1 It is a system block diagram of the present invention;

[0041] Figure 2 This is a block diagram of the method of the present invention. DETAILED DESCRIPTION

[0042] To make the purpose, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0043] Example 1, with reference to Figure 1 The present invention provides a technical solution: a composite holographic imaging system based on voxel interference and refraction field control, comprising:

[0044] The light field information acquisition module is used to establish a light field intersection and interference model, obtain the position of the i-th pixel point xs in the light field intersection and interference model, and obtain the brightness value k of the red, green and blue light emitted by the i-th pixel point xs, as well as the distance between the i-th pixel point xs and the light source;

[0045] The analysis module is used to obtain the correction coefficient by combining the unit vector of each row in the light field intersection and interference model with the distance between the pixel point xs and the point light source, and to construct the minimum interference coefficient grs for the laser scattered brightness uniformity and color restoration accuracy in the three-dimensional laser interference voxel imaging. The light path is bent according to the Fresnel lens array, and the final imaging position offset coefficient wzxs is obtained by combining the refractive index of the initial medium, the refractive index of the artificial medium, the incident angle, the refraction angle, the thickness of the artificial medium, the lateral offset of the pixel point xs, and the longitudinal offset of the pixel point xs. The coefficients are evaluated with the preset threshold, the preset interference threshold and the position offset threshold respectively to generate the corresponding strategy.

[0046] In this embodiment, a light field intersection and interference model is established through the light field information acquisition module, enabling more accurate acquisition of three-dimensional information in the environment, including pixel location, light source distance, and color brightness values. This improves the autonomous driving system's ability to detect obstacles, road boundaries, pedestrians, and vehicles. The analysis module calculates pixel brightness, color reproduction accuracy, and the minimum interference coefficient (GRS), effectively compensating for background light interference and internal noise in the optical system, improving the color accuracy and brightness uniformity of the three-dimensional image. The constructive and destructive interference of coherent light enables the light source to more precisely control the luminous effect of each pixel, reducing color shift and resulting in clearer and more realistic images.

[0047] By calculating the image position offset coefficient wzxs and combining it with parameters such as the initial medium refractive index, the artificial medium refractive index, the angle of incidence, the angle of refraction, the medium thickness, and pixel offset, the system accurately calibrates the holographic image position, reducing optical system errors and improving image stability and accuracy. When wzxs exceeds a preset position offset threshold, the system automatically optimizes the optical parameters to ensure that the image remains correctly positioned at different angles and distances, preventing image offset or distortion caused by medium errors. By real-time evaluating the relationship between the minimum interference coefficient grs and the preset interference threshold, the system determines whether background light interference is affecting image quality and automatically optimizes the optical parameters. If interference exceeds the preset threshold, the system can improve the imaging effect by adjusting the light source intensity, interference model parameters, or the refraction field control strategy. Furthermore, when the final image position offset coefficient wzxs exceeds the threshold, the system triggers an alarm, indicating that the optical system needs urgent adjustment to ensure accurate holographic image presentation.

[0048] Example 2: This example is an explanation of Example 1. Please refer to Figure 1 ,Specifically, the light field information acquisition module includes an acquisition unit and a ,light field intersection and interference model;

[0049] A light field intersection and interference model was established to derive the light propagation path according to the Helmholtz equation. Three surfaces emitting red, green, and blue light were constructed based on the point light sources of the three primary colors of light. These three surfaces were then arranged at 109.47° angles, giving each pixel xs a three-dimensional light source configuration. Each surface was represented by a directional vector matrix.

[0050] The acquisition unit is used to display a pixel point xs in a field intersection and interference model based on diffuse reflection formed by the intersection of laser beams in the air, where 1, 2, 3, ...i,i represents the i-th pixel point, and to construct a three-dimensional model in space, and to acquire the position of the i-th pixel point xs (x, y, z) in the three-dimensional model, and to obtain the brightness values k of the red, green and blue light according to the emission of red, green and blue light by the i-th pixel point xs, and to obtain the distance between the i-th pixel point xs and the light source with the i-th pixel point xs as the punctuation point.

[0051] In this embodiment, the light field intersection and interference model is established by the Helmholtz equation. The system can accurately calculate the propagation path of light and realize accurate simulation of light wave interference, diffraction and scattering. Compared with the traditional geometric optics method, this model can more accurately describe the propagation behavior of light waves in different media, especially in the field of high-precision holographic imaging and complex light field control, and can significantly improve the spatial resolution and color reproduction of imaging. The three primary colors of light (red, green, and blue) are used to construct three-dimensional light source surfaces respectively and arranged at an angle of 109.47°. This geometric arrangement not only enhances the illumination uniformity of the pixel points, but also effectively reduces the blind spot, making the imaging have a stronger sense of three-dimensionality and space. Since each pixel point xs is illuminated by light sources from different directions, the system can accurately calculate the constructive interference and destructive interference of coherent light, so that the holographic imaging has more realistic colors and layering.

[0052] The acquisition unit can accurately locate the pixel point xs (x, y, z) in the three-dimensional model and obtain key parameters such as its brightness value k and light source distance, thereby constructing a high-precision three-dimensional light field model.

[0053] Example 3, this example is the explanation in Example 1, please refer to Figure 1 ,Specifically, the analysis module includes an identification unit and an ,extraction unit;

[0054] The recognition unit is used to identify the position of the i-th pixel point xs in the space and combine the brightness values k of the red, green and blue light emitted by the pixel point xs to obtain the RGB value of the integrated pixel point xs through a summation formula;

[0055] According to the direction vector matrix, each row of unit vectors is obtained, combined with the distance between the pixel point xs and the point light source, and the light field optimization objective function is obtained through the direction vector matrix. The function is used to calculate the minimized illumination unevenness bjy.

[0056] In this embodiment, since holographic imaging is affected by light field intersection, interference and reflection, uneven illumination is prone to occur. This system calculates the unit vector of each row through the direction vector matrix, combined with the distance between the pixel point xs and the point light source, to obtain the light field optimization objective function, and calculates the minimized illumination unevenness bjy. This optimization strategy can significantly reduce the problem of excessive changes in local illumination intensity, improve the overall uniformity of the image, and make holographic imaging more stable and clear. The introduction of the direction vector matrix allows illumination optimization to act not only on a single pixel point, but also to perform global optimization in the entire three-dimensional space. This system can reduce the deviation in the sense of depth of three-dimensional images caused by uneven illumination.

[0057] Example 4: This example is an explanation of Example 1. Please refer to Figure 1 Specifically, the extraction unit is used to obtain the correction coefficient after dimensionless processing of the minimized illumination unevenness bjy and the RGB value of the integrated pixel point xs.

[0058] The correction coefficient is compared with a preset threshold value, the preset threshold value includes a first threshold value and a second threshold value, and the first threshold value is greater than the second threshold value;

[0059] When the correction coefficient is greater than the first threshold, it indicates that the RGB value of the current integrated pixel xs is abnormal and the brightness needs to be increased by 30%;

[0060] When the second threshold < correction coefficient ≤ first threshold, it means that the RGB value of the current integrated pixel xs is abnormal, but lower than the abnormal value when the correction coefficient is greater than the first threshold, and the brightness needs to be increased by 10%;

[0061] When the correction coefficient is less than or equal to the second threshold, it indicates that the RGB value of the current integrated pixel point xs is normal and no brightness adjustment is required.

[0062] In this embodiment, the extraction unit performs dimensionless processing on the minimized illumination unevenness bjy and the RGB value of the integrated pixel xs to obtain a correction coefficient, which is compared with the preset thresholds (first threshold and second threshold). It is possible to determine in real time whether the brightness is abnormal and dynamically adjust the brightness level. This method can effectively reduce color distortion, problems such as too dark or too bright brightness, and improve the visual effect of the holographic image. Uneven brightness can cause visual fatigue in users when viewing holographic imaging, affecting the sense of immersion. Through intelligent brightness adjustment, this system can keep the brightness of the image within the optimal visual perception range at all times, reducing the discomfort caused by brightness fluctuations.

[0063] Example 5, this example is the explanation in Example 1, please refer to Figure 1 ,Specifically, the recognition unit also includes a background light interference subunit and a refraction influence subunit;

[0064] The background light interference subunit includes a compensation factor, and the background light interference subunit is used to correlate the brightness uniformity of laser scatter points with the color restoration accuracy in three-dimensional laser interference voxel imaging;

[0065] Background light interference sources include ambient light and system internal optical noise;

[0066] The background light interference sources are summed to obtain the comprehensive background light interference coefficient, and the compensation factor is used to compensate for the comprehensive background light coefficients to finally obtain the minimum interference coefficient grs, which is evaluated with the preset interference threshold;

[0067] When the minimum interference coefficient grs is greater than the preset interference threshold, it indicates that the current background light interference is abnormal, the imaging quality is unqualified, and the laser system needs to be further optimized or adjusted;

[0068] When the minimum interference coefficient grs ≤ the preset interference threshold, it means that there is no abnormality in the current background light interference and the imaging quality is qualified.

[0069] In this embodiment, through the background light interference subunit, the system can identify ambient light and internal optical noise of the system, calculate the comprehensive background light interference coefficient, and use the compensation factor to compensate, and finally obtain the minimum interference coefficient grs. By comparing the minimum interference coefficient grs with the preset interference threshold, the degree of background light interference can be accurately judged and targeted adjustments can be made. This method can effectively reduce the interference caused by external lighting changes or internal noise, ensure the stability and accuracy of imaging, and by calculating the minimum interference coefficient grs and comparing it with the preset interference threshold, the system can automatically adjust the laser parameters, optimize the light distribution, improve the uniformity of the light field, and enhance the red, green, and blue (RGB) color reproduction accuracy. Compared with the traditional static light compensation method, this system can dynamically adjust according to the real-time lighting environment, improve the quality of holographic imaging, and make the image clearer and more realistic.

[0070] In different lighting environments (such as indoors, outdoors, at night, and under strong sunlight), holographic projection systems are easily affected by ambient light interference, resulting in image distortion or insufficient brightness. This system calculates the interference coefficient and performs adaptive compensation to maintain stable imaging in complex environments, ensuring that holographic projection equipment can operate stably in different scenarios and enhancing the system's adaptability and practicality.

[0071] Example 6, this example is the explanation in Example 1, please refer to Figure 1 Specifically, the refraction influencing subunit is used to generate a light field according to the computer-generated hologram (CGH), and pass the light source through the artificial medium to change the direction of the light, and bend the light path according to the Fresnel lens array. In combination with the refractive index of the initial medium, the refractive index of the artificial medium, the incident angle, the refraction angle, the thickness of the artificial medium, the lateral offset of the pixel point xs, and the longitudinal offset of the pixel point xs, a dimensionless processing is performed to obtain the final imaging position offset coefficient wzxs;

[0072] The final imaging position offset coefficient wzxs is evaluated with a preset position offset threshold;

[0073] When the final imaging position offset coefficient wzxs> the position offset threshold, it means that the current final imaging is unqualified and the optical parameters need to be optimized;

[0074] When the final imaging position offset coefficient wzxs ≤ the position offset threshold, it means that the current final imaging is qualified and the optical parameters need to be adjusted;

[0075] When the final imaging position offset coefficient wzxs>>position offset threshold, an alarm instruction is generated and the optical parameters need to be adjusted urgently.

[0076] In this embodiment, the system utilizes computationally generated holography (CGH) to generate a target light field through the refraction-affecting subunit, and combines this with a Fresnel lens array to bend and control the light. By calculating parameters such as the initial medium refractive index, the artificial medium refractive index, the angle of incidence, the angle of refraction, and the thickness of the artificial medium, the system accurately calculates the lateral and longitudinal offsets of the pixel point xs, obtaining the final imaging position offset coefficient wzxs. This coefficient is then compared with a preset threshold to ensure imaging accuracy and stability. When the final imaging position offset coefficient wzxs exceeds the threshold, the system automatically optimizes the optical parameters to reduce pixel offset errors. This adaptive adjustment mechanism ensures the stability of the holographic image, avoiding the image distortion or blurring caused by uneven medium refraction in traditional holographic displays, resulting in clearer images.

[0077] Example 7, this example is the explanation in Example 1, please refer to Figure 2 Specifically, the composite holographic imaging method based on voxel interference and refraction field control includes:

[0078] S1: First, a light field intersection and interference model is established, and three surfaces are constructed based on the point light sources of the three primary colors of light. Then, the acquisition unit is used to obtain the position of the i-th pixel point xs in the model and the distance between the i-th pixel point and the light source;

[0079] S2: Then obtain the three-dimensional coordinates of the i-th pixel point xs, and then obtain the brightness values k of the red, green and blue light emitted by the i-th pixel point xs, obtain the RGB value of the integrated pixel point xs, and use the light field optimization objective function to obtain the minimized illumination unevenness bjy based on the RGB value of the integrated pixel point xs. Correct the illumination unevenness and evaluate it with the preset threshold to generate a corresponding strategy to ensure the imaging effect;

[0080] S3: Finally, the coefficients affecting the imaging are obtained, including the minimum interference coefficient grs and the final imaging position offset coefficient wzxs. The minimum interference coefficient grs is evaluated with the preset interference threshold, and the final imaging position offset coefficient wzxs is evaluated with the position offset threshold to generate a relative strategy to ensure qualified imaging.

[0081] In this embodiment, through the light field intersection and interference model, the system can accurately control the interference and superposition of light beams to improve the positioning accuracy of the pixel point xs, and reduce the illumination unevenness bjy through the light field optimization objective function to ensure stable imaging quality, calculate the RGB value of the pixel point in real time, and perform adaptive correction based on the illumination unevenness bjy to ensure the color reproduction and brightness uniformity of the imaging. By calculating the minimum interference coefficient grs, the system can comprehensively evaluate background light interference factors (such as ambient light and internal optical noise), and use the compensation factor for adaptive compensation, calculate the final imaging position offset coefficient wzxs, and compare it with the preset position offset threshold to ensure that the pixel point after the light beam is refracted is aligned with the target position. Combined with the curved optical path design of the Fresnel lens array, the refractive index, thickness, incident angle, refraction angle and other parameters of the artificial medium are accurately adjusted to reduce pixel drift.

[0082] The threshold is set to facilitate comparison. The size of the threshold depends on the amount of sample data and the number of bases set by technicians in this field for each set of sample data; as long as it does not affect the proportional relationship between the parameter and the quantized value.

Claims

1. A composite holographic imaging system based on voxel interference and refraction field control, characterized by: include: The light field information acquisition module is used to establish a light field intersection and interference model, obtain the position of the i-th pixel point xs in the light field intersection and interference model, and obtain the brightness value k of the red, green and blue light emitted by the i-th pixel point xs, as well as the distance between the i-th pixel point xs and the light source; The analysis module is used to obtain the correction coefficient by combining the unit vector of each row in the light field intersection and interference model with the distance between the pixel point xs and the point light source, and to construct the minimum interference coefficient grs for the laser scattered brightness uniformity and color restoration accuracy in the three-dimensional laser interference voxel imaging. The light path is bent according to the Fresnel lens array, and the final imaging position offset coefficient wzxs is obtained by combining the refractive index of the initial medium, the refractive index of the artificial medium, the incident angle, the refraction angle, the thickness of the artificial medium, the lateral offset of the pixel point xs, and the longitudinal offset of the pixel point xs. The coefficients are evaluated with the preset threshold, the preset interference threshold and the position offset threshold respectively to generate the corresponding strategy.

2. The hybrid holographic imaging system based on voxel interference and refraction field control according to claim 1, characterized in that: The light field information acquisition module includes an acquisition unit and a light field intersection and interference model establishment unit; A light field intersection and interference model unit was established to derive the light propagation path based on the Helmholtz equation. Three surfaces emitting red, green, and blue light were constructed based on the point light sources of the three primary colors of light. These three surfaces were then arranged at 109.47° angles, giving each pixel xs a three-dimensional light source configuration. Each surface was represented by a directional vector matrix. The acquisition unit is used to display a pixel point xs in a field intersection and interference model based on diffuse reflection formed by the intersection of laser beams in the air, where 1, 2, 3, ...i,i represents the i-th pixel point, and to construct a three-dimensional model in space, and to acquire the position of the i-th pixel point xs (x, y, z) in the three-dimensional model, and to obtain the brightness values k of the red, green and blue light according to the emission of red, green and blue light by the i-th pixel point xs, and to obtain the distance between the i-th pixel point xs and the light source with the i-th pixel point xs as the punctuation point.

3. The hybrid holographic imaging system based on voxel interference and refraction field control according to claim 2, characterized in that: The analysis module includes an identification unit and an extraction unit; The recognition unit is used to identify the position of the i-th pixel point xs in the space and combine the brightness values k of the red, green and blue light emitted by the pixel point xs to obtain the RGB value of the integrated pixel point xs through a summation formula; According to the direction vector matrix, each row of unit vectors is obtained, combined with the distance between the pixel point xs and the point light source, and the light field optimization objective function is obtained through the direction vector matrix. The function is used to calculate the minimized illumination unevenness bjy.

4. The hybrid holographic imaging system based on voxel interference and refraction field control according to claim 3, characterized in that: The extraction unit is used to obtain the correction coefficient after dimensionless processing of the minimized illumination unevenness bjy and the RGB value of the integrated pixel point xs.

5. The hybrid holographic imaging system based on voxel interference and refraction field control according to claim 4, characterized in that: The correction coefficient is compared with a preset threshold value, the preset threshold value includes a first threshold value and a second threshold value, and the first threshold value is greater than the second threshold value; When the correction coefficient is greater than the first threshold, it indicates that the RGB value of the current integrated pixel xs is abnormal and the brightness needs to be increased by 30%; When the second threshold < correction coefficient ≤ first threshold, it means that the RGB value of the current integrated pixel xs is abnormal, but lower than the abnormal value when the correction coefficient is greater than the first threshold, and the brightness needs to be increased by 10%; When the correction coefficient is less than or equal to the second threshold, it indicates that the RGB value of the current integrated pixel point xs is normal and no brightness adjustment is required.

6. The hybrid holographic imaging system based on voxel interference and refraction field control according to claim 5, characterized in that: The identification unit also includes a background light interference subunit and a refraction influence subunit; The background light interference subunit includes a compensation factor, and the background light interference subunit is used to correlate the brightness uniformity of laser scatter points with the color restoration accuracy in three-dimensional laser interference voxel imaging; Background light interference sources include ambient light and system internal optical noise; The background light interference sources are summed up to obtain the comprehensive background light interference coefficient, and the compensation factor is used to compensate for several comprehensive background light coefficients to finally obtain the minimum interference coefficient grs.

7. The hybrid holographic imaging system based on voxel interference and refraction field control according to claim 6, characterized in that: The minimum interference coefficient grs is evaluated with a preset interference threshold; When the minimum interference coefficient grs is greater than the preset interference threshold, it indicates that the current background light interference is abnormal, the imaging quality is unqualified, and the laser system needs to be further optimized or adjusted; When the minimum interference coefficient grs ≤ the preset interference threshold, it means that there is no abnormality in the current background light interference and the imaging quality is qualified.

8. The hybrid holographic imaging system based on voxel interference and refraction field control according to claim 7, characterized in that: The refraction influence subunit is used to generate a light field based on the computational holography CGH, and pass the light source through an artificial medium to change the direction of the light, bend the light path according to the Fresnel lens array, and combine the refractive index of the initial medium, the refractive index of the artificial medium, the incident angle, the refraction angle, the thickness of the artificial medium, the lateral offset of the pixel point xs, and the longitudinal offset of the pixel point xs to perform dimensionless processing, thereby obtaining the final imaging position offset coefficient wzxs.

9. The hybrid holographic imaging system based on voxel interference and refraction field control according to claim 8, characterized in that: The final imaging position offset coefficient wzxs is evaluated with a preset position offset threshold; When the final imaging position offset coefficient wzxs> the position offset threshold, it means that the current final imaging is unqualified and the optical parameters need to be optimized; When the final imaging position offset coefficient wzxs ≤ the position offset threshold, it means that the current final imaging is qualified and the optical parameters need to be adjusted; When the final imaging position offset coefficient wzxs>>position offset threshold, an alarm instruction is generated and the optical parameters need to be adjusted urgently.

10. A hybrid holographic imaging method based on voxel interference and refraction field control, applicable to the hybrid holographic imaging system based on voxel interference and refraction field control according to any one of claims 1 to 9, characterized in that: include: S1: First, a light field intersection and interference model is established, and three surfaces are constructed based on the point light sources of the three primary colors of light. Then, the acquisition unit is used to obtain the position of the i-th pixel point xs in the model and the distance between the i-th pixel point and the light source; S2: Then obtain the three-dimensional coordinates of the i-th pixel point xs, and then obtain the brightness values k of the red, green and blue light emitted by the i-th pixel point xs, obtain the RGB value of the integrated pixel point xs, and use the light field optimization objective function to obtain the minimized illumination unevenness bjy based on the RGB value of the integrated pixel point xs. Correct the illumination unevenness and evaluate it with the preset threshold to generate a corresponding strategy to ensure the imaging effect; S3: Finally, the coefficients affecting the imaging are obtained, including the minimum interference coefficient grs and the final imaging position offset coefficient wzxs. The minimum interference coefficient grs is evaluated with the preset interference threshold, and the final imaging position offset coefficient wzxs is evaluated with the position offset threshold to generate a relative strategy to ensure qualified imaging.

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