Multi-interface optical system compensation method and device

Abstract

The invention discloses a multi-interface optical system compensation method and device. The method comprises the following steps: acquiring grid test data and frequency conversion scanning test data covering a plurality of view field positions in a frame gap of a display panel; carrying out multi-scale wavelet decomposition and spatial distribution calculation on the optical characteristic data, and distributing calculation weights according to characteristic parameters of the view field position; dividing the view field area into a plurality of compensation sub-areas, and generating compensation parameters according to the distortion feature data and the local definition features; and predicting a distortion trend based on the compensation mapping data and the continuous characteristics of the display content, and carrying out differential adjustment on the compensation parameters of each field-of-view position. According to the technical scheme, distortion compensation is adaptively carried out at different view field positions according to the interaction effect of a glass interface and an acrylic interface in a multi-interface optical system, the accumulated distortion effect in the dynamic display process is effectively inhibited by considering the optical characteristic and the temperature response characteristic of an interface material, and the dynamic display effect is improved. And the imaging quality of the system at each view field position is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of optical system image processing, and particularly to a compensation method and device for a multi-interface optical system. Background Art

[0002] In optical imaging and display systems, in order to obtain high-quality imaging effects, traditional solutions usually use Fresnel lenses to participate in imaging. However, due to the limitations of the processing and manufacturing process of Fresnel lenses, it is difficult to control their thickness tolerances. Especially in large-size display systems, this tolerance problem will lead to poor assembly consistency and ultimately affect the imaging quality of the system. To solve this problem, a new type of optical system adopts a multi-piece structure design, and realizes imaging by combining multiple pieces of glass and acrylic optical interfaces. This design can not only avoid the processing and assembly problems brought by Fresnel lenses, but also make full use of the optical characteristics of different materials, and obtain better imaging effects by precisely controlling the optical path difference and material refraction characteristics between interfaces.

[0003] However, in a multi-piece optical system, due to the existence of multiple optical interfaces, and the material properties and geometric structures of each interface are different, this leads to complex imaging characteristics of the system at different field-of-view positions. Especially under the interaction of glass and acrylic interfaces, the system will exhibit different degrees of distortion and aberration. These distortions and aberrations are not only related to the refraction characteristics of the interface materials, but also change dynamically with the change of environmental temperature. More critically, due to the differences in the optical path difference and transmittance distribution at each field-of-view position, traditional unified compensation methods are difficult to effectively handle this non-uniformity, resulting in inconsistent imaging quality of the system at different field-of-view positions. This problem is particularly obvious during the dynamic display process of images, because the continuous change of the displayed content will cause an accumulated distortion effect, further reducing the imaging quality of the system. Summary of the Invention

[0004] The main purpose of the present invention is to solve the technical problem that the existing multi-interface optical system has inconsistent imaging quality at different field-of-view positions.

[0005] The first aspect of the present invention provides a compensation method for a multi-interface optical system, and the compensation method for the multi-interface optical system includes: Obtaining grid test data and frequency conversion scanning test data covering multiple field-of-view positions during the frame interval of the display panel to obtain optical characteristic data; Performing multi-scale wavelet decomposition and spatial distribution calculation on the optical characteristic data, and allocating calculation weights according to the characteristic parameters of the current display content at different field-of-view positions to obtain distortion characteristic data; Divide the field of view area into multiple compensation sub - regions, and generate compensation parameters according to the distortion characteristic data and the local clarity characteristics of each compensation sub - region to obtain compensation mapping data; Predict the distortion trend based on the compensation mapping data and the continuous characteristics of the display content, and differentially adjust the compensation parameters at each field of view position according to the prediction result to obtain compensated display data.

[0006] Optionally, obtaining the grid test data and the variable - frequency scanning test data covering multiple field of view positions in the frame gap of the display panel to obtain the optical characteristic data includes: Perform time segmentation on the frame refresh sequence of the display panel, and determine the sampling timing of the test data according to the astigmatism distribution at each field of view position to obtain a timing sampling sequence; Generate an orthogonal grid pattern at each field of view position according to the timing sampling sequence, and gradually modulate the spatial period of the orthogonal grid pattern according to the distribution characteristics of the optical interface gap to obtain grid test data; Determine the reference frequency range of the scanning stripes according to the timing sampling sequence and the marginal aberration distribution at each field of view position, and unevenly segment the reference frequency range according to the refractive characteristics of the interface material to obtain variable - frequency scanning test data; Perform spatio - temporal multiplexing coding on the grid test data and the variable - frequency scanning test data, and allocate data weights according to the interface transfer characteristics at each field of view position to obtain optical characteristic data.

[0007] Optionally, the determining the reference frequency range of the scanning stripes according to the timing sampling sequence and the marginal aberration distribution at each field of view position, and unevenly segmenting the reference frequency range according to the refractive characteristics of the interface material to obtain variable - frequency scanning test data includes: Perform frequency range analysis on the timing sampling sequence and the marginal aberration distribution, and unevenly segment the analysis result according to the refractive characteristics of the interface material to obtain a frequency distribution sequence; Perform direction coding on each frequency segment in the frequency distribution sequence, and set the scanning interval in each direction according to the optical path difference between interfaces to obtain direction - coded data; Generate multiple groups of cross - scanning stripes at each field of view position according to the direction - coded data, and dynamically adjust the contrast of the cross - scanning stripes to obtain an initial scanning pattern; Perform spatial modulation on the initial scanning pattern, and control the modulation depth in zones according to the refractive characteristics of the interface material to obtain variable - frequency scanning test data.

[0008] Optionally, performing multi-scale wavelet decomposition and spatial distribution calculation on the optical feature data, and allocating calculation weights according to the characteristic parameters of the current display content at different field-of-view positions to obtain distortion feature data, including: Dividing the optical feature data into frequency sub-bands according to the dispersion characteristics of the interface material, and performing multi-scale wavelet decomposition according to the optical path differences of each interface to obtain a decomposition coefficient sequence; Performing field-of-view partitioning on the decomposition coefficient sequence, and calculating spatial distribution weights according to the optical transfer characteristics of each field-of-view position to obtain regional feature data; Classifying the distortion of the regional feature data according to the refractive index differences between the glass and acrylic interfaces, and setting compensation weights based on the aberration distributions of each field-of-view position to obtain regional weight data; Jointly correcting the regional feature data and the regional weight data, and locally modulating the correction result according to the characteristic parameters of the current display content at different field-of-view positions to obtain feature mapping data; Generating a distortion compensation matrix based on the feature mapping data, and non-linearly optimizing the compensation matrix according to the transfer function of the optical interface to obtain distortion feature data.

[0009] Optionally, the classifying the distortion of the regional feature data according to the refractive index differences between the glass and acrylic interfaces, and setting compensation weights based on the aberration distributions of each field-of-view position to obtain regional weight data, includes: Calculating the optical path deviation according to the refractive index differences between the glass and acrylic interfaces, and performing hierarchical distortion analysis on the regional feature data to obtain distortion type data; Performing field-of-view partitioning processing on the distortion type data, and determining compensation benchmarks according to the marginal aberration and central aberration distributions of each field-of-view position to obtain aberration distribution data; Calculating the compensation coefficients for each type of distortion according to the aberration distribution data, and setting partition weights based on the cumulative distortion effect between the interfaces to obtain regional weight data.

[0010] Optionally, the performing field-of-view partitioning processing on the distortion type data, and determining compensation benchmarks according to the marginal aberration and central aberration distributions of each field-of-view position to obtain aberration distribution data, includes: Performing field-of-view partitioning on the distortion type data according to the optical characteristics of the glass interface and the acrylic interface, and determining partition boundaries according to the imaging characteristics of each region to obtain partition mapping data; Calculating the aberration distributions of the marginal field of view and the central field of view respectively according to the partition mapping data, and normalizing the aberration data based on the dispersion characteristics of the interface material to obtain standardized aberration data; Identify the aberration types of the standardized aberration data, and generate a compensation reference curve according to the distribution laws of various aberrations to obtain aberration distribution data.

[0011] Optionally, the method of dividing the field of view region into multiple compensation sub-regions and generating compensation parameters according to the distortion characteristic data and the local clarity characteristics of each compensation sub-region to obtain compensation mapping data includes: Perform radial partitioning on the field of view region based on the transmittance distribution of the interface material, and determine the sub-region boundaries according to the optical path difference characteristics between the interfaces to obtain partitioning boundary data; Perform spatial correlation analysis on the distortion characteristic data within each sub-region, and calculate the local clarity distribution according to the refraction characteristics of the glass and acrylic interfaces to obtain regional characteristic data; Generate local compensation coefficients according to the regional characteristic data and the optical transfer characteristics of the sub-regions, and set compensation parameters based on the cumulative aberration effect between the interfaces to obtain compensation mapping data.

[0012] Optionally, the method of generating local compensation coefficients according to the regional characteristic data and the optical transfer characteristics of the sub-regions, and setting compensation parameters based on the cumulative aberration effect between the interfaces to obtain compensation mapping data includes: Perform transfer analysis on the regional characteristic data according to the optical path difference characteristics of the glass interface, and calculate the local transmittance coefficient based on the refractive index distribution of the material to obtain interface transfer data; Perform joint analysis on the interface transfer data and the dispersion characteristics of the acrylic interface, and allocate compensation weights according to the distortion sensitivity of each sub-region to obtain weight allocation data; Calculate the cumulative aberration distribution between the interfaces according to the weight allocation data, and generate a compensation coefficient matrix based on the geometric distortion characteristics of each sub-region to obtain initial compensation data; Perform non-linear optimization processing on the initial compensation data, and set a dynamic correction factor according to the temperature response characteristics of the optical interface to obtain compensation mapping data.

[0013] Optionally, the method of predicting the distortion trend based on the compensation mapping data and the continuous characteristics of the display content, and differentially adjusting the compensation parameters at each field of view position according to the prediction result to obtain compensated display data includes: Perform temporal correlation analysis on the compensation mapping data, and determine the distortion change trend according to the temperature response characteristics of each optical interface to obtain prediction reference data; Analyze the continuous characteristics of the display content at each field of view position according to the prediction reference data, and calculate the distortion distribution trend based on the change of the optical path difference between the interfaces to obtain trend prediction data; Perform zonal compensation on the trend prediction data according to the transmission characteristics of the glass and acrylic interface, and set dynamic adjustment parameters according to the cumulative distortion effect at each field-of-view position to obtain the compensated display data.

[0014] The second aspect of the present invention provides a multi-interface optical system compensation device, and the multi-interface optical system compensation device includes: An acquisition module, configured to acquire grid test data and frequency conversion scanning test data covering multiple field-of-view positions during the frame interval of the display panel to obtain optical characteristic data; A processing module, configured to perform multi-scale wavelet decomposition and spatial distribution calculation on the optical characteristic data, and allocate calculation weights according to the characteristic parameters of the current display content at different field-of-view positions to obtain distortion characteristic data; A compensation module, configured to divide the field-of-view area into multiple compensation sub-areas, and generate compensation parameters according to the distortion characteristic data and the local clarity characteristics of each compensation sub-area to obtain compensation mapping data; A prediction module, configured to predict the distortion trend based on the compensation mapping data and the continuous characteristics of the display content, and differentially adjust the compensation parameters at each field-of-view position according to the prediction result to obtain the compensated display data.

[0015] The technical solutions provided by the embodiments of this application have at least the following advantages: In the frame gap of the display process, this solution measures the optical feature data covering different positions, and combines multi-scale decomposition and spatial distribution calculation to distinguish and process high-frequency and low-frequency distortion information, so as to more effectively extract the key distortion parameters of each field position under the complex optical path difference conditions caused by multi-interface materials. To cope with the dynamic effects of refractive index and temperature on aberration under different material combinations, this solution does not only adopt one-time measurement, but obtains multiple frequency-converted scanning and grid test data through time-sequential segmentation. These data are separated layer by layer through wavelet decomposition, and the distortion components at different scales are retained. For each field region, differentiation is also carried out in terms of local sharpness and astigmatism weight, and different distortion types are given different treatments; then through the joint calculation of these layered results, a corresponding compensation map is generated, and prediction and iterative update are carried out in combination with the real-time continuous features of the display content based on the compensation map. This enables a good distortion suppression effect to be maintained even when the temperature environment changes or the display content frequently switches. This method of combining grid test and frequency-converted scanning enables the system to timely capture the distortions caused by different frequency components, and uses the multi-scale decomposition method to analyze them separately, and then flexibly perform local compensation on each sub-region after field division. Since dynamic monitoring of aberration distribution and optical path difference is realized, and a differentiated zone compensation strategy is introduced, the system can automatically perform prediction and adjustment with the changes of the display content and the disturbances of factors such as temperature and environment; in this way, the non-uniform distortion occurring at different field positions in the multi-interface stacked system can be solved, and the accumulated aberration distortion during dynamic display can be effectively reduced in actual display use, enabling the imaging effect to be presented more uniformly and clearly in different regions, and also providing a feasible high-precision compensation idea for optical systems with larger sizes or more complex material combinations. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on the structures shown in these drawings.

[0017] Figure 1 FIG. is a schematic diagram of an embodiment of the compensation method for a multi-interface optical system in an embodiment of the present invention; Figure 2 FIG. is a schematic diagram of an embodiment of the compensation device for a multi-interface optical system in an embodiment of the present invention.

[0018] The realization, functional features and advantages of the objectives of the present invention will be further described with reference to the embodiments and the drawings. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0019] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0020] It should be noted that if there are directional indications (such as up, down, left, right, front, back,...) involved in the embodiments of the present invention, the directional indications are only used to explain the relative position relationship and movement conditions between components in a specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indications will also change accordingly.

[0021] In addition, the descriptions involving "first", "second", etc. in the present invention are only for descriptive purposes, and cannot be understood as indicating or implying their relative importance or implicitly indicating the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include at least one such feature. In addition, "and / or" throughout the text includes three scenarios. Taking A and / or B as an example, it includes the technical solution of A, the technical solution of B, and the technical solution that A and B are satisfied simultaneously. In addition, the technical solutions between various embodiments can be combined with each other, which must be based on the ability of those of ordinary skill in the art to implement. When the combination of technical solutions conflicts with each other or cannot be implemented, it should be considered that such a combination of technical solutions does not exist and is not within the protection scope required by the present invention.

[0022] An embodiment of the present application provides a compensation method for a multi-interface optical system. Figure 1 It is a flowchart of a compensation method for a multi-interface optical system provided by an embodiment of the present application. In this embodiment, the method includes: Please refer to Figure 1 , obtaining grid test data and variable-frequency scanning test data covering multiple field-of-view positions in the frame interval of the display panel to obtain optical characteristic data; In an embodiment of the present invention, the obtaining grid test data and variable-frequency scanning test data covering multiple field-of-view positions in the frame interval of the display panel to obtain optical characteristic data includes: Performing time segmentation on the frame refresh sequence of the display panel, and determining the sampling timing of the test data according to the astigmatism distribution of each field-of-view position to obtain a timing sampling sequence; Generating an orthogonal grid pattern at each field-of-view position according to the timing sampling sequence, and gradually modulating the spatial period of the orthogonal grid pattern according to the distribution characteristics of the optical interface gap to obtain grid test data; Determine the reference frequency range of the scanning stripes according to the timing sampling sequence and the marginal aberration distribution at each field of view position, and perform non-uniform segmentation on the reference frequency range according to the refractive characteristics of the interface material to obtain frequency conversion scanning test data; Perform spatio-temporal multiplexing coding on the grid test data and the frequency conversion scanning test data, and allocate data weights according to the interface transfer characteristics at each field of view position to obtain optical feature data.

[0023] The following is a specific description of the steps of the above embodiments: Within the refresh period of the display panel, a continuous frame sequence can be segmented in time according to a fixed or adaptive rule to form several time intervals. In order to fully combine the astigmatism distributions at different fields of view, it is necessary to determine the sampling points suitable for each field of view within each time interval. Thus, when the observation device (such as an image sensor or an optical detector with a high sampling rate) detects the astigmatism characteristics of different field of view regions, the division of the frame sequence can be refined or merged to obtain a sampling timing suitable for the current conditions. By this approach, a set of time segments covering each field of view position can be formed, and the corresponding measurement process can be accurately executed within each time segment to meet the distortion measurement requirements under various complex optical interfaces. With this operation, the time segmentation of the display panel frame refresh sequence can not only match the astigmatism characteristics of different regions, but also reduce the resource waste caused by unnecessary data acquisition, and finally obtain a complete timing sampling sequence.

[0024] Based on the foregoing timing sampling sequence, an orthogonal grid pattern can be projected or displayed at each field of view position, and different lattice point distributions can be generated in combination with existing hardware (such as a standard pattern generator or a programmable display controller). In order to cope with the gap changes between multiple interfaces such as glass and polymer, it is necessary to gradually modulate the spatial period of the grid pattern, that is, gradually adjust the spacing of the grid lines in the spatial domain, making it denser in the region with a large optical path difference, or appropriately widening the interval in the region where the optical path difference is relatively stable. Through this adjustment method, the obtained grid test data can present more effective distortion information in the subsequent stage and reduce the data loss caused by uneven interface gaps. After adopting this strategy, the obtained grid test data can more clearly reflect the optical distortion degree in different regions during analysis, thereby improving the resolution during subsequent data processing.

[0025] After obtaining the time-sequential sampling sequence and clarifying the marginal aberration characteristics of each field of view, a test method of adding scanning stripes can be adopted within a time interval different from that of the grid pattern, so as to form a complement to the aforementioned grid pattern. In order to capture the optical distortions caused by different frequency components, it is necessary to first determine the reference frequency range of the scanning stripes, and then perform non-uniform frequency segmentation in combination with the refractive characteristics of the interface materials (such as glass and acrylic). The method of non-uniform segmentation can be to finely divide more frequency segments in the frequency interval where the refractive index changes significantly, and reduce the density of frequency segments in the interval where the refractive index changes gently. Through this step, more abundant marginal aberration information can be scanned and recorded within a frequency range with higher adaptability, and finally, variable-frequency scanning test data can be formed after multiple scans. By using this method, the diverse optical effects generated at different material interfaces can be taken into account, which is convenient for subsequent analysis algorithms to perform multi-dimensional splitting and calculation on complex distortions.

[0026] After obtaining the grid test data and the variable-frequency scanning test data, it is necessary to perform spatio-temporal multiplexing coding on the two. The specific method can be to set independent time-domain or space-domain markers for each group of grid data and scanning data, and then synchronize these markers with the acquisition sequence and acquisition device, so that the data can be distinguished in the same frame or adjacent frames. At the same time, in order to further balance the importance of different field-of-view positions during measurement, it is necessary to assign data weights in combination with the interface transfer characteristics of each field of view. This means that when a certain field-of-view area is more sensitive to distortion due to the difference in interface refractive index, a higher weight can be assigned to the corresponding grid or scanning data. The comprehensive processing of this spatio-temporal multiplexing coding and data weight assignment enables subsequent distortion decomposition and compensation algorithms to distinguish the distortion sensitivity of different regions at the input level, providing a more accurate and complete measurement basis for the overall optical characteristic data. Through this process, optical characteristic data covering multiple frequencies, different grid densities, and multiple field-of-view regions can be obtained, meeting the diverse requirements for distortion detection in multi-chip optical systems and providing a relatively comprehensive reference for subsequent distortion correction.

[0027] In an embodiment of the present invention, determining the reference frequency range of the scanning stripes according to the time-sequential sampling sequence and the marginal aberration distribution of each field-of-view position, and performing non-uniform segmentation on the reference frequency range according to the refractive characteristics of the interface material to obtain variable-frequency scanning test data includes: Performing frequency range analysis on the time-sequential sampling sequence and the marginal aberration distribution, and performing non-uniform segmentation on the analysis result according to the refractive characteristics of the interface material to obtain a frequency distribution sequence; Performing direction coding on each frequency segment in the frequency distribution sequence, and setting the scanning interval in each direction according to the optical path difference between interfaces to obtain direction-coded data; Generate multiple sets of cross-scanning stripes at each field-of-view position according to the direction-encoded data, and dynamically adjust the contrast of the cross-scanning stripes to obtain an initial scanning pattern; Perform spatial modulation on the initial scanning pattern, and control the modulation depth in zones according to the refractive characteristics of the interface material to obtain frequency-converted scanning test data.

[0028] The following specifically describes the steps of the above embodiments: Based on the existing time-sequential sampling sequence and the edge aberration distribution, it is necessary to retrieve the frequency characteristics of this information through a data analysis module. Conventional digital signal processing devices can be used to identify the high-frequency and low-frequency components of the edge aberration, and combined with the intensity distribution data collected by the optical sensor, the error amplitude in each frequency interval can be initially obtained. In order to match the refractive differences generated by the interface material, it is necessary to classify this amplitude distribution and set several segmentation thresholds to achieve non-uniform frequency division. Through this processing method, a frequency distribution sequence that increases or decreases according to the sensitivity to the optical path difference can be formed, and the frequency band with a greater impact on the distortion can be highlighted. This enables more targeted measurement and correction of different frequency intervals during subsequent processing.

[0029] In the obtained frequency distribution sequence, in order to introduce more dimensional information, it is necessary to perform direction encoding on each segment. Direction encoding can be achieved by using common devices such as image generators or laser galvanometers. By changing the direction of the scanning line within a preset angle range, each frequency segment has an independent identifier in different directions. Subsequently, a dedicated scanning interval can be set for each direction according to the optical path difference distribution between the interfaces. The direction with a smaller scanning interval will generate denser stripes to resolve local errors, while the direction with a larger scanning interval is convenient for covering a wider range. With this arrangement, the subsequent generated scanning data can maintain a high discrimination degree in the multi-directional dimension and provide sufficient information for the complex distortions that may occur at the junction of different refractive materials.

[0030] Generate multiple sets of cross-scanning stripes at each field-of-view position according to the direction-encoded data. Through staggered arrangement, the stripe responses in different directions and different frequencies can be collected simultaneously at the same position, so as to comprehensively analyze the asymmetric distortion caused by the material. In order to make it easier for the acquisition device to distinguish the signal differences between the stripes, it is necessary to adjust the contrast of each group of stripes. By adjusting the brightness or gray level, the stripes in the high-sensitivity area can be more clearly presented in the acquired image. The dual information of direction and frequency carried by the formed initial scanning pattern can help the subsequent data analysis process accurately analyze the distortion level caused by the interface stratification and provide a basis for subsequent pattern correction and compensation.

[0031] When performing spatial modulation on the already generated initial scan pattern, a digital micromirror device or other common programmable projection device can be used to partition each pixel or each scan line in the pattern in terms of spatial distribution. According to the refractive characteristics of the interface material, the modulation depth is controlled gradientally to distinguish the scanning light intensity or phase distribution in different sub-regions. For parts with a large refractive index difference, a higher modulation depth can be given to enhance the modulation effect, while for regions with relatively consistent refractive indices, a lower modulation depth is used to achieve a stable scanning state. Through this operation, frequency conversion scanning test data can be further obtained, and the influence degree of each layer interface on the optical path can be highlighted in subsequent distortion analysis, assisting in more accurate compensation and correction in the follow-up.

[0032] Please continue to refer to Figure 1 , perform multi-scale wavelet decomposition and spatial distribution calculation on the optical feature data, and allocate calculation weights according to the characteristic parameters of the current display content at different field-of-view positions to obtain distortion feature data; In an embodiment of the present invention, the performing multi-scale wavelet decomposition and spatial distribution calculation on the optical feature data, and allocating calculation weights according to the characteristic parameters of the current display content at different field-of-view positions to obtain distortion feature data includes: Divide the optical feature data into frequency sub-bands according to the dispersion characteristics of the interface material, and perform multi-scale wavelet decomposition according to the optical path difference of each interface to obtain a sequence of decomposition coefficients; Perform field-of-view partitioning on the sequence of decomposition coefficients, and calculate spatial distribution weights according to the optical transfer characteristics of each field-of-view position to obtain regional feature data; Classify the distortion of the regional feature data according to the refractive index difference between the glass and acrylic interfaces, and set compensation weights based on the aberration distribution of each field-of-view position to obtain regional weight data; Jointly correct the regional feature data and the regional weight data, and perform local modulation on the correction result according to the characteristic parameters of the current display content at different field-of-view positions to obtain feature mapping data; Generate a distortion compensation matrix based on the feature mapping data, and perform non-linear optimization on the compensation matrix according to the transfer function of the optical interface to obtain distortion feature data.

[0033] The following specifically describes the steps of the above embodiment: After obtaining the complete optical feature data, it is necessary to perform bandwidth division on it to distinguish the frequency components affected by different dispersion characteristics. When achieving this goal, a common digital signal analysis device can be used to perform spectral separation on the data, and thresholds can be set for each frequency range according to the refractive properties of the interface materials. After obtaining several refined bandwidths, the multi-scale wavelet algorithm can be relied on to decompose each bandwidth component separately. In this process, the optical path difference information between the interface materials needs to be input in advance, and the degree of local energy concentration at different scales is used as the basis for judging the decomposition layer number, and the decomposition coefficients of each layer are recorded. This can more accurately map the distortion amplitude when crossing multiple interfaces, providing a more targeted frequency block basis for subsequent distortion estimation and correction.

[0034] In the sequence of decomposition coefficients obtained after the above multi-scale decomposition, each coefficient implicitly contains a distortion signal related to a specific field-of-view position. To more directly reflect the optical characteristics of different regions, the decomposition result can be mapped according to the regional coordinates by combining the existing field-of-view calibration device. After assigning the coordinates, it is necessary to calculate the spatial distribution weights for the decomposition coefficients in each region. At this time, the difference in attenuation and transmission within each region can be evaluated by referring to the optical transfer function, and a higher coefficient weight is given to the region with the most prominent distortion. This enables the data analysis module to focus on the regions that actually have the most significant impact on the imaging quality when comparing and merging these decomposition coefficients, avoiding wasting a large amount of computational effort in irrelevant or secondary regions.

[0035] After completing the partitioning and weight calculation, it is necessary to identify various types of distortions that may exist in each region according to the refractive index drop between the glass and acrylic interfaces. Through preliminary measurement or database query, the optical path deviation data caused by different refractive indices can be obtained, and this can be corresponded to the regional characteristic data to distinguish types such as spherical aberration, coma, and meridional aberration. After completing the distortion type identification, the aberration distribution information at each field-of-view position can be used to assign corresponding compensation weights to these distortion types. When severe astigmatism or deformation occurs in a certain region, the assigned compensation weight will increase accordingly, so that more in-depth adjustment can be performed on this region during subsequent numerical correction to ensure the balance of the imaging quality.

[0036] After the regional features and regional weights are correspondingly associated, these two types of data need to be synchronously input into the calibration module, and the calibration module performs a joint operation. This operation process usually combines a numerical optimization environment, uses the regional features as the object to be calibrated, and the regional weights as the reference index for the adjustment amplitude. After calibration, in order to adapt to dynamic display content, local modulation of the calibration result is required. At this time, by detecting feature parameters such as the image gradient and brightness distribution of the current display content in the field of view, the areas most vulnerable to distortion are found, and these areas are modulated and adjusted to varying degrees in combination with the previous calibration results. This can make the local distortion be processed more finely and finally form feature mapping data.

[0037] After having complete feature mapping data, a set of distortion compensation matrices can be generated using the mapping results, and the transfer function information of the interface material is referenced during the establishment of this matrix. In order to process the non-linear distortion caused by the superposition of multi-interface refraction and dispersion, non-linear optimization needs to be additionally performed on the initially generated compensation matrix. Machine learning algorithms, iterative solution algorithms, or other mature non-linear optimization tools can be used here to compare the numerical values of the iterated matrix with the optical transfer function again to minimize the full-field distortion as much as possible and output more accurate distortion feature data. In this way, when the entire multi-interface system faces different display contents and environmental changes, real-time or periodic distortion correction can be performed through this data, so that the imaging effect maintains stable clarity and accuracy.

[0038] In an embodiment of the present invention, the distortion classification of the regional feature data according to the refractive index difference between the glass and acrylic interfaces, and setting compensation weights based on the aberration distribution at each field-of-view position to obtain regional weight data includes: Calculating the optical path deviation according to the refractive index difference between the glass and acrylic interfaces, and performing hierarchical distortion analysis on the regional feature data to obtain distortion type data; Performing field-of-view partitioning processing on the distortion type data, and determining the compensation reference according to the marginal aberration and central aberration distribution at each field-of-view position to obtain aberration distribution data; Calculating the compensation coefficients for each type of distortion according to the aberration distribution data, and setting partition weights based on the cumulative distortion effect between the interfaces to obtain regional weight data.

[0039] The following specifically describes the steps of the above embodiment: By reading the refractive index values of the interface material, a conventional optical path calculation device is used to quantify the refractive difference between glass and acrylic. After obtaining this difference, it is compared with the local imaging information in the regional feature data to evaluate the optical path deviation amplitude between layers. Combining these numerical information, the regional feature data can be divided into several levels according to depth or material hierarchy, and the image processing algorithm is used to perform distortion analysis on each level of data, find different distortion types such as spherical aberration, meridional aberration, coma aberration, etc., and assign corresponding identifiers to each type, thus forming three-dimensional distortion type data. This processing method can help to deeply observe the specific position and severity of distortion generated under the multi-material interface, providing targeted reference for subsequent zoning and compensation.

[0040] After completing the screening and identification of distortion types, it is necessary to classify these distortion type data according to the established field of view division scheme. In order to take into account the differences between the central and edge regions, an imaging acquisition device with high-precision angle measurement function can be used to first detect the aberration distribution ranges at the central position and the peripheral position, and then delimit the field of view partitions based on this. After delimitation, the distortion types within each partition are integrated, and one or more compensation reference lines are selected according to the distortion amplitude or severity to generate aberration distribution data. This can better balance the different characteristics of the central and edge regions of the field of view in terms of distortion performance through differential differentiation, making the subsequent compensation more refined.

[0041] According to the established aberration distribution data, the corresponding compensation coefficients are calculated for each distortion type respectively, and combined with the characteristic of the mutual accumulation of optical effects between interfaces, the additional weight of each partition is set. To perform this step, a conventional numerical optimization tool can be used to analyze the total optical path distortion between multiple material layers by calling the interface optical simulation module, compare the local extreme values with the overall average value, and finally determine the coefficients and overall weights of each partition. The generated regional weight data can provide a higher priority for significantly distorted regions in the subsequent correction process, thus realizing more targeted optical compensation under the multi-chip structure.

[0042] In an embodiment of the present invention, the processing of performing field of view partitioning on the distortion type data and determining the compensation reference according to the edge aberration and central aberration distributions at each field of view position to obtain the aberration distribution data includes: Performing field of view partitioning on the distortion type data according to the optical characteristics of the glass interface and the acrylic interface, and determining the partition boundaries according to the imaging characteristics of each region to obtain partition mapping data; Calculating the aberration distributions of the edge field of view and the central field of view respectively according to the partition mapping data, and performing normalization processing on the aberration data based on the dispersion characteristics of the interface material to obtain standardized aberration data; Identify the aberration types for the standardized aberration data, and generate compensation reference curves according to the distribution laws of various aberrations to obtain aberration distribution data.

[0043] The following specifically describes the steps of the above embodiment: After receiving the distortion type data, it is necessary to group these data according to the optical characteristics of different material interfaces, and at the same time consider the refractive differences between glass and acrylic. For easy management, the optical parameters of each material layer can be obtained first using an image acquisition device or a digital analysis tool, and these parameters are input into the partitioning algorithm to finely divide the field of view. To determine the specific boundaries, the imaging clarity, gray level gradient or other relevant indicators can be detected at each candidate boundary. When a significant change appears in the detection result, this location can be set as the new boundary coordinate point. In this way, a mapping data describing the division of the field of view area can be obtained, providing a clear reference for the next partitioning operation.

[0044] In the existing partitioning mapping data, to further understand the overall differences in the imaging area, it is necessary to process the aberration values of the edge area and the central area separately. To perform this operation, a computing device can be used to screen the mapping data to clearly separate the coordinate ranges of the edge and the center of the field of view; then extract the aberration samples of each part and perform corresponding normalization operations on the aberration values according to the dispersion coefficients of the interface materials, so as to form a relatively unified comparison reference. After this step, a set of standardized aberration data can be obtained, making the subsequent error evaluation and correction more comparable and avoiding misjudgment caused by inconsistent material properties.

[0045] For the aberration data after normalization processing, type identification is required to determine the types of aberrations existing in different partitions. Here, image processing software with pattern recognition functions can be used. By comparing the standardized values with the typical aberration characteristic curves in the database, the types of aberration components in each area (such as spherical, coma or other types) can be determined. Subsequently, statistical analysis needs to be performed on these recognition results, and one or more corresponding compensation reference curves are drawn according to the distribution law of each type. In this way, aberration distribution data can be generated, providing more targeted numerical references for the next distortion correction.

[0046] Please continue to refer to Figure 1 , divide the field of view area into multiple compensation sub-areas, and generate compensation parameters according to the distortion characteristic data and the local clarity characteristics of each compensation sub-area to obtain compensation mapping data; In an embodiment of the present invention, the step of dividing the field of view area into multiple compensation sub-areas, and generating compensation parameters according to the distortion characteristic data and the local clarity characteristics of each compensation sub-area to obtain compensation mapping data includes: The field of view region is radially partitioned based on the transmittance distribution of the interface material, and the sub-region boundaries are determined according to the optical path difference characteristics between the interfaces, obtaining the partition boundary data; Spatial correlation analysis is performed on the distortion characteristic data within each sub-region, and the local clarity distribution is calculated according to the refraction characteristics of the glass and acrylic interfaces, obtaining the region characteristic data; Local compensation coefficients are generated according to the region characteristic data and the optical transfer characteristics of the sub-regions, and compensation parameters are set based on the cumulative aberration effect between the interfaces, obtaining the compensation mapping data.

[0047] The following specifically describes the steps of the above embodiments: After obtaining the transmittance distribution data of the interface material, it is necessary to combine the field of view geometric information to identify the energy attenuation characteristics in the radial direction. To achieve this operation, the transmission intensity at different radii can be collected through an optical sensor or an image processing platform, and then these intensity values are compared with the known refractive index data to screen out the sections with significant transmittance changes. Subsequently, the field of view is divided into several strip-shaped or concentric ring-shaped regions in the radial direction, and the boundaries between adjacent regions are set according to the optical path difference level between the materials. For example, when the optical path difference shows a continuous gradient change within a certain radius range, this range can be determined as a new segmentation point. Through the above method, a set of numerical sets representing the radial sub-region boundaries can be obtained. This data can clearly show the distribution of the field of view at the radial level and provide target coordinates for subsequent analysis.

[0048] After clarifying the boundaries of the sub-regions, it is necessary to perform spatial correlation analysis on the distortion characteristic data within these regions. This analysis can use image correlation algorithms or digital signal processing tools to locally compare the distortion distributions within each sub-region to evaluate the correlation degree of the distortion patterns between different positions. To simultaneously reflect the differences between the glass and acrylic interfaces, the refractive index characteristics need to be incorporated into the calculation process, multiple checks are made on the distortion amplitudes within the same region, and the local clarity level is evaluated in a manner similar to the modulation transfer function. Through this processing, the distortion components closely related to the interface material properties can be separated from each sub-region, and finally a batch of parameters that can be used to describe the local distortion degree and clarity distribution, that is, the region characteristic data, can be obtained.

[0049] Based on the above-mentioned regional characteristic data and the optical transfer characteristics of the sub-regions, the severity or type of distortion can be mapped to corresponding coefficient values, and local compensation coefficients can be generated in the form of matrices or tables on a numerical calculation platform. In order to take into account the superposition effects between multiple interfaces, it is necessary to introduce the consideration of the cumulative aberration effect when formulating these coefficients, and conduct an overall evaluation of the distortion after the superposition of multi-material refraction and multi-layer attenuation. After completing the calculation of the compensation coefficients, corresponding compensation parameters can be set according to the distortion sensitivity of each sub-region, and a set of mapping data for performing distortion correction can be output. Through this process, the optical distortion within the sub-region will obtain precise local compensation in subsequent steps, thereby enabling a more ideal improvement in the imaging quality of the multi-interface structure.

[0050] In one embodiment of the present invention, generating local compensation coefficients according to the regional characteristic data and the optical transfer characteristics of the sub-regions, and setting compensation parameters based on the cumulative aberration effect between interfaces to obtain compensation mapping data, includes: Conduct a transfer analysis on the regional characteristic data according to the optical path difference characteristics of the glass interface, and calculate the local transmittance coefficient based on the refractive index distribution of the material to obtain interface transfer data; Conduct a joint analysis on the interface transfer data and the dispersion characteristics of the acrylic interface, and allocate compensation weights according to the distortion sensitivity of each sub-region to obtain weight allocation data; Calculate the cumulative aberration distribution between interfaces according to the weight allocation data, and generate a compensation coefficient matrix based on the geometric distortion characteristics of each sub-region to obtain initial compensation data; Conduct a non-linear optimization process on the initial compensation data, and set a dynamic correction factor according to the temperature response characteristics of the optical interface to obtain compensation mapping data.

[0051] The following specifically describes the steps of the above-mentioned embodiment: After having mastered the optical path difference information brought by the glass interface, it is necessary to compare this information with the regional characteristic data to identify the energy distribution and transmission mode of light when passing through the glass layer. To achieve this process, conventional optical simulation software or optical path measurement instruments can be used to perform a matching analysis item by item on the phase difference or intensity loss values included in the regional characteristic data with the refractive index gradient of the glass interface. After the matching is completed, by distinguishing the refractive index and scattering loss levels at each coordinate or sub-region position, the local transmittance values of different regions can be obtained, and these values can be summarized as interface transfer data. This can make the subsequent distortion evaluation more accurate and facilitate the distinction of transfer characteristics between the glass layer and the interfaces of other material layers.

[0052] After obtaining the interface transfer data, it is necessary to jointly evaluate the dispersion effect of the acrylic layer and the refractive difference of the glass layer to confirm the overall distortion sensitivity generated when multi-material interfaces are stacked. This can be achieved by inputting the interface transfer data and the dispersion model of the acrylic layer into the same analysis module, and iteratively calculating the transmission attenuation and phase shift of light in different wavelength or frequency ranges. Subsequently, the distortion intensities of each sub-region are sorted, and corresponding compensation weights are assigned according to the high and low levels to form a set of weight distribution data. This approach can reflect the differential distortion degrees of the multi-interface system in each band and region, making the zonal correction more targeted.

[0053] Based on the aforementioned weight distribution data, the cumulative aberration between interfaces can be stacked layer by layer on a numerical calculation platform, and a series of coefficient matrices for correction can be generated by referring to the geometric distortion parameters within the sub-regions. These matrices are the initial compensation data. To complete this operation, the refractive index and scattering coefficient need to be recorded between each interface, the bending path of light between layers is calculated through numerical integration or interpolation algorithms, and the weighted results of all local distortions are summarized together. This can reflect the information required for correcting different regions and different distortion modes in a matrix or multi-dimensional array, providing an overall preliminary correction structure for subsequent optimization processing.

[0054] After forming the initial compensation data, if the multi-material interface has obvious non-linear distortion characteristics, these data need to be subjected to non-linear optimization operations. This process can be executed in a general numerical simulation environment, combined with minimizing residuals or adaptive algorithms, and gradually adjusting the numerical distribution of the compensation coefficients. In order to maintain a clear imaging effect under changes in the thermal environment or interference from other external factors, a dynamic correction factor needs to be introduced during the optimization process according to the temperature response characteristics of the optical interface, so that the finally obtained compensation mapping data can be matched in a timely manner with changes in temperature and display content, ensuring sufficient imaging accuracy under the multi-interface stacked structure.

[0055] Please continue to refer to Figure 1 , predict the distortion trend based on the continuous characteristics of the compensation mapping data and the display content, and differentially adjust the compensation parameters at each field of view position to obtain the compensated display data.

[0056] In an embodiment of the present invention, the predicting the distortion trend based on the continuous characteristics of the compensation mapping data and the display content, and differentially adjusting the compensation parameters at each field of view position to obtain the compensated display data includes: Performing temporal correlation analysis on the compensation mapping data, and determining the distortion change trend according to the temperature response characteristics of each optical interface to obtain prediction reference data; Analyze the continuous features of the display content at each field-of-view position based on the predicted reference data, and calculate the distortion distribution trend based on the change in the optical path difference between interfaces to obtain trend prediction data; Perform zonal compensation on the trend prediction data according to the transmission characteristics of the glass and acrylic interfaces, and set dynamic adjustment parameters according to the cumulative distortion effect at each field-of-view position to obtain compensated display data.

[0057] The following is a specific description of the steps in the above embodiments: After obtaining the compensated mapping data, it is necessary to organize it on the time axis and combine the sampling information of multiple frames or multiple intervals to identify the distortion change amplitude related to temperature. At this time, a time series analysis software or other numerical operation tools can be used to compare the compensation parameters of each frame (or interval) vertically and screen out the trend changes that occur with the rise or fall of temperature. To quantify the response of different materials to the ambient temperature, the surface temperatures of the glass and acrylic interfaces can be collected using temperature sensors, and these temperature readings can be paired with the compensated mapping data in the same time period for calculation. In the obtained dynamic matching results, it can be observed that with the rise or fall of temperature, the trends shown by the optical distortion coefficients in different interface layers, and these trend information finally form the predicted reference data. This can provide a time and temperature synchronized reference channel for the next analysis of the continuous features of the display content, and clearly present the multiple distortions brought by the multi-material interface on the time series scale.

[0058] After obtaining the predicted reference data for temperature, it is necessary to combine it with the coherence degree of the display content at each field-of-view position to evaluate the possible distortion distribution trend. To achieve this goal, an image feature analysis tool can be introduced to perform pattern recognition on the current and adjacent frame display images to judge the motion trajectory or brightness distribution continuity of the content. Then, superimpose the content change amplitude on the distortion trend in the previous step of the predicted reference data. By searching for the time points or regions in the optical path difference record between interfaces that match this content change, the distortion distribution trend in the next period of time can be calculated and output in a structured manner as trend prediction data. This process enables the distortion analysis to keep up with the dynamic changes of the display content and avoid ignoring the differential effects of interface temperature under different display situations.

[0059] For the trend prediction data that has been summarized, it is necessary to perform zonal compensation according to the transmission characteristics of the glass and acrylic interfaces respectively. At this time, the aforementioned trend prediction data can be projected back to different sub-regions in a numerical simulation or image processing platform, and combined with the previously set distortion sensitivity threshold to differentially adjust the compensation amount for this display cycle. For regions with a relatively large accumulated distortion amplitude, higher dynamic adjustment parameters need to be set for them, so as to preferentially correct the distortion during the process of image rendering or projection. Finally, all sub-regions will jointly output the distortion correction results after zonal compensation and transmit them to the display unit in the form of numbers or video streams, so that the imaging can still maintain a relatively consistent and clear effect in an environment where the temperature and content change frequently. These corrected data can be regarded as the final display screen output, reflecting the practical value of multi-interface dynamic distortion compensation.

[0060] The above describes the compensation method for the multi-interface optical system in the embodiments of the present invention. Next, the compensation device for the multi-interface optical system in the embodiments of the present invention will be described. Please refer to Figure 2 , an embodiment of the compensation device for the multi-interface optical system in the embodiments of the present invention includes: An acquisition module 101, configured to acquire grid test data and frequency conversion scan test data covering multiple field-of-view positions during the frame interval of the display panel to obtain optical feature data; A processing module 102, configured to perform multi-scale wavelet decomposition and spatial distribution calculation on the optical feature data, and allocate calculation weights according to the feature parameters of the current display content at different field-of-view positions to obtain distortion feature data; A compensation module 103, configured to divide the field-of-view region into multiple compensation sub-regions, and generate compensation parameters according to the distortion feature data and the local clarity features of each compensation sub-region to obtain compensation mapping data; A prediction module 104, configured to predict the distortion trend based on the compensation mapping data and the continuous features of the display content, and differentially adjust the compensation parameters at each field-of-view position according to the prediction result to obtain compensated display data.

[0061] The above are only the preferred embodiments of the present invention, and do not limit the patent scope of the present invention accordingly. Any equivalent structural transformation made by using the specification and drawings of the present invention under the inventive concept of the present invention, or any direct / indirect application in other related technical fields is included in the patent protection scope of the present invention.

Claims

1. A multi-interface optical system compensation method, characterized in that: include: Acquire grid test data and variable frequency scanning test data covering multiple viewing field positions in the frame interval of the display panel to obtain optical characteristic data; Performing multi-scale wavelet decomposition and spatial distribution calculation on the optical feature data, and allocating calculation weights according to feature parameters of the current display content at different viewing field positions to obtain distortion feature data; Dividing the field of view area into a plurality of compensation sub-areas, and generating compensation parameters according to the distortion feature data and the local clarity features of each compensation sub-area to obtain compensation mapping data; The distortion trend is predicted based on the compensation mapping data and the continuous characteristics of the display content, and the compensation parameters of each field of view position are differentially adjusted according to the prediction result to obtain compensated display data.

2. The multi-interface optical system compensation method according to claim 1, characterized in that: The step of acquiring grid test data and variable frequency scanning test data covering multiple viewing field positions in the frame interval of the display panel to obtain optical characteristic data includes: The frame refresh sequence of the display panel is time segmented, and the sampling timing of the test data is determined according to the astigmatism distribution of each field of view position to obtain a timing sampling sequence; Generating an orthogonal grid pattern at each field of view position according to the timing sampling sequence, and progressively modulating the spatial period of the orthogonal grid pattern according to the distribution characteristics of the optical interface gap to obtain grid test data; Determine the reference frequency range of the scanning stripes according to the time sampling sequence and the edge aberration distribution of each field of view position, and divide the reference frequency range into non-uniform segments according to the refractive characteristics of the interface material to obtain variable frequency scanning test data; The grid test data and the variable frequency scanning test data are time-space multiplexed and encoded, and data weights are allocated according to the interface transfer characteristics of each field of view position to obtain optical feature data.

3. The multi-interface optical system compensation method according to claim 2, characterized in that: The method of determining the reference frequency range of the scanning stripes according to the time sampling sequence and the edge aberration distribution of each field of view position, and performing non-uniform segmentation on the reference frequency range according to the refractive characteristics of the interface material to obtain variable frequency scanning test data includes: Performing frequency range analysis on the time-series sampling sequence and the edge aberration distribution, and performing non-uniform segmentation on the analysis results according to the refractive characteristics of the interface material to obtain a frequency distribution sequence; Direction-encoding each frequency segment in the frequency distribution sequence, and setting a scanning interval in each direction according to the optical path difference between interfaces to obtain direction-encoded data; Generating a plurality of groups of cross-scanning stripes at each field of view position according to the direction encoding data, and dynamically adjusting the contrast of the cross-scanning stripes to obtain an initial scanning pattern; The initial scanning pattern is spatially modulated, and the modulation depth is controlled in sections according to the refractive property of the interface material to obtain variable frequency scanning test data.

4. The multi-interface optical system compensation method according to claim 1, characterized in that: The multi-scale wavelet decomposition and spatial distribution calculation of the optical feature data are performed, and the calculation weights are allocated according to the feature parameters of the current display content at different field of view positions to obtain the distortion feature data, including: Dividing the optical characteristic data into frequency sub-bands according to the dispersion characteristics of the interface material, and performing multi-scale wavelet decomposition according to the optical path difference of each interface to obtain a decomposition coefficient sequence; Partitioning the decomposition coefficient sequence into field of view, and calculating the spatial distribution weight according to the optical transfer characteristics of each field of view position to obtain regional feature data; Distortion classification is performed on the regional feature data according to the refractive index difference between the glass and acrylic interfaces, and compensation weights are set based on the aberration distribution of each field of view position to obtain regional weight data; Jointly correcting the regional feature data and the regional weight data, and locally modulating the correction result according to feature parameters of the current display content at different viewing field positions to obtain feature mapping data; A distortion compensation matrix is ​​generated based on the characteristic mapping data, and the compensation matrix is ​​nonlinearly optimized according to the transfer function of the optical interface to obtain distortion characteristic data.

5. The multi-interface optical system compensation method according to claim 4, characterized in that: The regional feature data is distorted and classified according to the refractive index difference between the glass and acrylic interfaces, and compensation weights are set based on the aberration distribution of each field of view position to obtain regional weight data, including: Calculating the optical path deviation according to the refractive index difference between the glass and acrylic interfaces, and performing layered distortion analysis on the regional characteristic data to obtain distortion type data; Performing field of view partition processing on the distortion type data, and determining a compensation benchmark according to the edge aberration and center aberration distribution of each field of view position to obtain aberration distribution data; The compensation coefficients of various types of distortion are calculated according to the aberration distribution data, and the partition weights are set based on the cumulative distortion effect between interfaces to obtain regional weight data.

6. The multi-interface optical system compensation method according to claim 5, characterized in that: The field of view partitioning processing is performed on the distortion type data, and a compensation reference is determined according to the edge aberration and center aberration distribution of each field of view position to obtain aberration distribution data, including: Partitioning the distortion type data into field of view according to the optical properties of the glass interface and the acrylic interface, and determining the partition boundaries according to the imaging characteristics of each area to obtain partition mapping data; The aberration distribution of the edge field of view and the center field of view are calculated respectively according to the partition mapping data, and the aberration data are normalized based on the dispersion characteristics of the interface material to obtain standardized aberration data; The standardized aberration data is subjected to aberration type identification, and a compensation reference curve is generated according to the distribution law of each type of aberration to obtain aberration distribution data.

7. The multi-interface optical system compensation method according to claim 1, characterized in that: The method of dividing the field of view into a plurality of compensation sub-areas and generating compensation parameters according to the distortion feature data and the local clarity features of each compensation sub-area to obtain compensation mapping data includes: The field of view is radially partitioned based on the transmittance distribution of the interface material, and the sub-region boundaries are determined according to the optical path difference characteristics between the interfaces to obtain the partition boundary data; Perform spatial correlation analysis on the distortion feature data in each sub-region, and calculate the local clarity distribution based on the refraction characteristics of the glass and acrylic interface to obtain regional feature data; A local compensation coefficient is generated according to the regional feature data and the optical transfer characteristics of the sub-region, and a compensation parameter is set based on the cumulative aberration effect between interfaces to obtain compensation mapping data.

8. The multi-interface optical system compensation method according to claim 7, characterized in that: The method of generating a local compensation coefficient according to the regional feature data and the optical transfer characteristics of the sub-region and setting a compensation parameter based on the cumulative aberration effect between interfaces to obtain compensation mapping data includes: Performing a transmission analysis on the regional characteristic data according to the optical path difference characteristics of the glass interface, and calculating the local transmittance coefficient based on the refractive index distribution of the material to obtain interface transmission data; The interface transfer data and the dispersion characteristics of the acrylic interface are jointly analyzed, and compensation weights are allocated according to the distortion sensitivity of each sub-region to obtain weight allocation data; Calculating the cumulative aberration distribution between interfaces according to the weight distribution data, and generating a compensation coefficient matrix based on the geometric distortion characteristics of each sub-region to obtain initial compensation data; The initial compensation data is subjected to nonlinear optimization processing, and a dynamic correction factor is set according to the temperature response characteristics of the optical interface to obtain compensation mapping data.

9. The multi-interface optical system compensation method according to claim 1, characterized in that: The method of predicting the distortion trend based on the compensation mapping data and the continuous features of the display content, and differentially adjusting the compensation parameters of each field of view position according to the prediction result to obtain the compensated display data includes: Performing time series correlation analysis on the compensation mapping data, and determining the distortion change trend according to the temperature response characteristics of each optical interface to obtain prediction benchmark data; Analyzing the continuous characteristics of the displayed content at each field of view position according to the predicted benchmark data, and calculating the distortion distribution trend based on the change of the optical path difference between interfaces to obtain trend prediction data; The trend prediction data is compensated in different areas according to the transfer characteristics of the glass and acrylic interface, and dynamic adjustment parameters are set according to the cumulative distortion effect of each field of view position to obtain compensated display data.

10. A multi-interface optical system compensation device, characterized in that: The multi-interface optical system compensation device adopts the multi-interface optical system compensation method according to any one of claims 1 to 9, and the multi-interface optical system compensation device comprises: An acquisition module, used to acquire grid test data and variable frequency scanning test data covering multiple viewing field positions in the frame interval of the display panel to obtain optical characteristic data; A processing module, used for performing multi-scale wavelet decomposition and spatial distribution calculation on the optical feature data, and allocating calculation weights according to feature parameters of the current display content at different viewing field positions to obtain distortion feature data; A compensation module, used for dividing the field of view area into a plurality of compensation sub-areas, and generating compensation parameters according to the distortion feature data and the local clarity features of each compensation sub-area to obtain compensation mapping data; The prediction module is used to predict the distortion trend based on the compensation mapping data and the continuous characteristics of the display content, and to differentially adjust the compensation parameters of each field of view position according to the prediction result to obtain compensated display data.

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