OLED flexible screen deformation adaptive data processing method and system

Abstract

The invention discloses an OLED flexible screen deformation adaptive data processing method and system, and relates to the technical field of data processing, and the method comprises the steps: obtaining the original position data and to-be-output brightness data of a pixel point, obtaining a strain sensing point, and obtaining the real-time strain data of the strain sensing point; obtaining an effective bending point location, and obtaining a self-adaptive processing distance; obtaining associated pixel points, obtaining a brightness difference value, and obtaining an adjustment proportion of the pixel points; and obtaining a target processing distance of the pixel point according to the adjustment proportion of the pixel point and the adaptive processing distance of the pixel point, obtaining a brightness enhancement proportion of the pixel point according to the target processing distance of the pixel point and a preset distance threshold, and obtaining a brightness output strategy of the pixel point according to the brightness enhancement proportion of the pixel point and the to-be-output brightness data. The method has the advantages of non-uniform compensation, self-adaptive adjustment and dynamic balance.

Description

Technical Field

[0001] This invention relates to the field of data processing technology, specifically to an adaptive data processing method and system for OLED flexible screen deformation. Background Technology

[0002] In the field of flexible display technology, especially in the practical application of OLED flexible screens, when the screen undergoes complex deformations such as bending, folding or twisting, its internal light-emitting layer and driving structure will produce uneven stress and strain distribution. This uneven physical state will directly interfere with the stability of the driving signal and significantly change the actual luminous efficiency and viewing angle characteristics of each pixel.

[0003] Existing technical solutions can use a network of strain sensors integrated on the screen to detect the degree of overall or local deformation and attempt to perform global or simple zone brightness compensation on the display output based on the sensor data. However, these solutions do not adequately estimate the spatial non-uniformity of deformation and the impact at the pixel level. That is, they fail to characterize the degree of disturbance of pixels that are far from the concentrated bending points but are still affected by the bending gradient, resulting in compensation lacking location specificity and causing overcompensation or undercompensation. More importantly, existing brightness compensation strategies rely solely on physical deformation data for adjustment, completely ignoring the image content characteristics of the displayed image itself. For example, when a large area of ​​uniform brightness appears on the screen surface (such as the sky or a solid-color background), the brightness difference between adjacent pixels should be small. If the brightness is excessively increased based on deformation data, it is easy to introduce abrupt brightness noise or spots in the uniform area, destroying the smoothness of the image. Conversely, in the edge areas of high-contrast images (such as the boundary between text and background), there are already significant differences in pixel brightness. If the brightness compensation is insufficient, the edge details that have already been weakened by deformation will become blurred, resulting in decreased edge sharpness and deteriorated readability. The disconnect between the existing compensation behavior and the image content structure introduces new artificial artifacts (such as abrupt brightness or local overexposure) in the process of combating deformation, failing to achieve a balance between effective brightness enhancement and effective restoration of image color. Summary of the Invention

[0004] In view of the technical problems existing in the background art, the present invention provides an OLED flexible screen deformation adaptive data processing method and system.

[0005] An adaptive data processing method for OLED flexible screen deformation includes: acquiring the original position data and output brightness data of each pixel on the flexible screen, acquiring multiple strain sensing points set on the flexible screen, and acquiring the real-time strain data of each strain sensing point at the current moment; acquiring effective bending points based on the real-time strain data of each strain sensing point, acquiring the distance between the effective bending point closest to the i-th pixel and the i-th pixel and recording it as the adaptive processing distance of the i-th pixel; acquiring multiple pixels adjacent to the i-th pixel and using them as associated pixels of the i-th pixel. The algorithm obtains the brightness difference between the output brightness data of the i-th pixel and the output brightness data of each associated pixel of the i-th pixel, and obtains the adjustment ratio of the i-th pixel based on the multiple brightness differences of the i-th pixel. It also obtains the target processing distance of the i-th pixel based on the adjustment ratio of the i-th pixel and the adaptive processing distance of the i-th pixel, obtains the brightness enhancement ratio of the i-th pixel based on the target processing distance of the i-th pixel and the preset distance threshold, and obtains the brightness output strategy of the i-th pixel based on the brightness enhancement ratio of the i-th pixel and the output brightness data.

[0006] Optionally, obtaining effective bending points based on real-time strain data from each strain sensing point includes: obtaining a preset strain threshold and marking strain sensing points whose real-time strain data exceeds the preset strain threshold as effective bending points.

[0007] Optionally, obtaining the brightness difference between the brightness data to be output of the i-th pixel and the brightness data to be output of each associated pixel of the i-th pixel includes: subtracting the brightness data to be output of each associated pixel of the i-th pixel from the brightness data to be output of the i-th pixel and taking the absolute value, thereby obtaining the brightness difference of each pixel of the i-th pixel.

[0008] Optionally, obtaining the adjustment ratio of the i-th pixel based on multiple brightness differences of the i-th pixel includes: selecting the maximum value among the multiple brightness differences of the i-th pixel; dividing the maximum value by the brightness data to be output of the i-th pixel to obtain the adjustment ratio of the i-th pixel.

[0009] Optionally, obtaining the target processing distance of the i-th pixel based on the adjustment ratio and the adaptive processing distance of the i-th pixel includes: subtracting the adjustment ratio of the i-th pixel from 1 to obtain the correction ratio of the i-th pixel; multiplying the adaptive processing distance of the i-th pixel by the correction ratio to obtain the target processing distance of the i-th pixel.

[0010] Optionally, obtaining the brightness enhancement ratio of the i-th pixel based on the target processing distance of the i-th pixel and the preset distance threshold includes: if the target processing distance of the i-th pixel exceeds the preset distance threshold, then 1 is used as the brightness enhancement ratio of the i-th pixel; if the target processing distance of the i-th pixel does not exceed the preset distance threshold, then the absolute difference between the preset distance threshold and the target processing distance of the i-th pixel is divided by the preset distance threshold to obtain the ratio to be processed, and the ratio to be processed is added to 1 as the brightness enhancement ratio of the i-th pixel.

[0011] Optionally, obtaining the brightness output strategy for the i-th pixel based on the brightness enhancement ratio of the i-th pixel and the brightness data to be output includes: multiplying the brightness enhancement ratio of the i-th pixel by the brightness data to be output to obtain a pre-output brightness value; obtaining the maximum output brightness value; if the pre-output brightness value exceeds the maximum output brightness value, then the maximum output brightness value is used as the brightness output strategy for the i-th pixel; if the pre-output brightness value does not exceed the maximum output brightness value, then the pre-output brightness value is used as the brightness output strategy for the i-th pixel.

[0012] A deformation adaptive data processing system for an OLED flexible screen is also provided. The system includes: a data acquisition module, used to acquire the original position data and output brightness data of each pixel on the flexible screen, and to acquire multiple strain sensing points set on the flexible screen, and to acquire the real-time strain data of each strain sensing point at the current moment; a distance data processing module, used to acquire effective bending points based on the real-time strain data of each strain sensing point, acquire the distance between the effective bending point closest to the i-th pixel and the i-th pixel, and record it as the adaptive processing distance of the i-th pixel; and a ratio data processing module, used to acquire multiple pixels adjacent to the i-th pixel and perform ratio processing. The i-th pixel is associated with other pixels, and the brightness difference between the output brightness data of the i-th pixel and the output brightness data of each associated pixel is obtained. The adjustment ratio of the i-th pixel is obtained based on the multiple brightness differences of the i-th pixel. The adaptive output module is used to obtain the target processing distance of the i-th pixel based on the adjustment ratio of the i-th pixel and the adaptive processing distance of the i-th pixel, obtain the brightness enhancement ratio of the i-th pixel based on the target processing distance of the i-th pixel and a preset distance threshold, and obtain the brightness output strategy of the i-th pixel based on the brightness enhancement ratio of the i-th pixel and the output brightness data.

[0013] Optionally, the distance data processing module is also used to: obtain a preset strain threshold and mark the strain sensing points where the real-time strain data exceeds the preset strain threshold as valid bending points.

[0014] Optionally, the proportional data processing module is further configured to: subtract the output brightness data of each associated pixel from the output brightness data of the i-th pixel and take the absolute value, thereby obtaining the brightness difference values ​​of the i-th pixel.

[0015] The beneficial effects of this invention are reflected in: In the overall OLED flexible screen deformation adaptive data processing method, firstly, a pixel-level deformation influence spatial distribution model is constructed using the original position data of pixels in a deformation-free state and the real-time physical deformation information captured by the strain sensor network. By identifying effective bending points and calculating the adaptive processing distance based on the original position for each pixel, this method quantifies the spatial non-uniformity of the deformation gradient, overcoming the shortcomings of existing schemes that underestimate pixels far from the bending center but still subject to gradient stress. Furthermore, image content characteristics are deeply integrated into the compensation decision. By analyzing the brightness difference between a pixel and its adjacent related pixels, an adjustment ratio reflecting the structural characteristics of the local area is calculated. This ratio dynamically corrects the physical distance model to form the target processing distance. This correction allows for more sufficient brightness compensation in high-brightness-contrast edge areas to resist the weakening of sharpness due to deformation, while limiting the compensation intensity in areas with uniform brightness, avoiding the introduction of artificial brightness noise or spots into the originally smooth image. Finally, by combining the preset distance threshold that dynamically changes with the deformation intensity and the maximum brightness limit of the OLED, an output strategy is generated for each pixel that takes into account both the spatial deformation position and the hardware physical constraints. This achieves an effective balance between compensating for the brightness decay caused by deformation and maintaining the original visual structure of the image, reducing undercompensation, overcompensation and the new artifacts they cause. Attached Figure Description

[0016] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the accompanying drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, the elements or parts are not necessarily drawn to scale.

[0017] Figure 1 This is a schematic diagram illustrating the steps of the OLED flexible screen deformation adaptive data processing method of the present invention; Figure 2 This is a schematic diagram of part of step S3 in the OLED flexible screen deformation adaptive data processing method of the present invention; Figure 3 This is a schematic diagram of a portion of step S4 in the OLED flexible screen deformation adaptive data processing method of the present invention; Figure 4 This is a schematic diagram of another part of step S4 in the OLED flexible screen deformation adaptive data processing method of the present invention; Figure 5 This is a schematic diagram of another part of step S4 in the OLED flexible screen deformation adaptive data processing method of the present invention. Detailed Implementation

[0018] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0019] Therefore, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the invention without inventive effort are within the scope of protection of the invention.

[0020] It should be noted that similar reference numerals and letters in the following figures indicate similar items; therefore, once an item is defined in one figure, it does not need to be further defined and explained in subsequent figures. Furthermore, the terms "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0021] like Figure 1 As shown, an adaptive data processing method for OLED flexible screen deformation is provided. In one embodiment, the method includes: S1. Obtain the original position data and brightness data to be output of each pixel on the flexible screen, and obtain multiple strain sensing points set on the flexible screen, and obtain the real-time strain data of each strain sensing point at the current moment. S2. Obtain effective bending points based on the real-time strain data of each strain sensing point, obtain the distance between the effective bending point closest to the i-th pixel and the i-th pixel, and record it as the adaptive processing distance of the i-th pixel. S3. Obtain multiple adjacent pixels of the i-th pixel and use them as associated pixels of the i-th pixel. Obtain the brightness difference between the brightness data to be output of the i-th pixel and the brightness data to be output of each associated pixel of the i-th pixel. Obtain the adjustment ratio of the i-th pixel based on the multiple brightness differences of the i-th pixel. S4. Obtain the target processing distance of the i-th pixel based on the adjustment ratio of the i-th pixel and the adaptive processing distance of the i-th pixel, obtain the brightness enhancement ratio of the i-th pixel based on the target processing distance of the i-th pixel and the preset distance threshold, and obtain the brightness output strategy of the i-th pixel based on the brightness enhancement ratio of the i-th pixel and the brightness data to be output.

[0022] In this embodiment, it should be noted that key information needs to be collected in S1. First, the original position coordinate data of each pixel on the screen needs to be acquired when the flexible screen is in its initial flat state (without deformation). This coordinate data constitutes a reference coordinate system, which is used to understand the relative spatial relationship between pixels and the basis for measuring positional offset when deformation occurs. Second, the original brightness information of each pixel planned to be output in the current display frame needs to be acquired. This brightness data to be output directly reflects the visual characteristics of the image content itself and is the direct object and target for subsequent adaptive compensation. Finally, the physical deformation measurement data fed back in real time from multiple discretely distributed strain sensor points integrated on the flexible screen substrate needs to be acquired. The layout of these sensors covers the key bending area, providing quantitative information on the tensile or compressive strain borne by the local area of ​​the screen at the current moment, reflecting the actual change in the physical state of the screen.

[0023] Furthermore, by simultaneously acquiring three heterogeneous but interrelated types of data—pixel position, display content brightness, and physical strain—step S1 constructs the basic information environment for adaptive processing. The raw position data defines the spatial relative relationship baseline of pixels in a deformation-free state. The output brightness data represents the intrinsic information characteristics of the image content and the target display effect. Real-time strain data captures the dynamic physical state disturbances introduced by the screen's bending and folding. The combination of these three allows subsequent steps to concretely map abstract physical deformation onto the pixel space of the display screen, simultaneously considering both image content and physical state changes. This lays the foundation for overcoming the limitations of existing methods that rely solely on single deformation data compensation while ignoring the structural issues of the image content. It also provides a basis for more precise adaptive adjustments in subsequent steps that consider both physical influences and image content.

[0024] In S2, using the strain sensor network data acquired in S1, the truly influential deformation center region under the current screen deformation state is identified, and a key physical distance benchmark is evaluated for each pixel on the screen. First, based on a preset strain threshold, the real-time strain data of all sensor points are filtered out, eliminating those sensor points whose strain levels are insufficient to be considered significant deformation centers. Sensor points whose strain data exceeds the threshold are determined to be effective bending points. These points substantially mark the local center region on the screen where the main bending, folding, or twisting action is currently occurring, and are the main source of deformation influence. After identifying these effective bending points, it is necessary to establish the association between each pixel on the screen (denoted by index i) and the deformation center. This is done by calculating the distance between the i-th pixel and all effective bending points in the original coordinate space without deformation, and finding the closest effective bending point. The planar distance between this pixel and its nearest effective bending point in the without deformation state is defined as the adaptive processing distance for that pixel. This distance value is crucial, as it forms a fundamental measure of how much a pixel is affected by deformation physics—the closer it is to the effective bending center, the stronger the deformation stress it experiences.

[0025] Furthermore, by defining an adaptive processing distance, step S2 establishes a spatial mapping relationship, associating abstract, discretely distributed sensor deformation data (representing the deformation center location) with each pixel in the continuous screen space. This distance is not based on the deformation distance after bending, but on the relative position distance in the original, flat state. It aims to provide an invariant related to the physical position attributes of the pixel for subsequent unified quantification of the relative spatial scale of deformation effects. This processing method considers the gradient change characteristics of deformation effects; a pixel is not only directly affected by its nearest sensor, but its potential level of influence is initially determined based on its original distance from the main deformation core (effective bending point) in the entire screen coordinate system. This provides crucial physical spatial information for subsequent steps to finely adjust this basic distance based on image content characteristics (forming the target processing distance) and ultimately calculate a brightness compensation amount that better matches the specific location and content environment of the pixel. This helps overcome the problem of insufficient estimation of pixels far from the bending point but affected by gradient deformation in existing schemes.

[0026] In S3, based on the characteristics of the content to be displayed, the appropriate intensity of brightness adjustment for the i-th pixel is dynamically evaluated, and the corresponding adjustment ratio is calculated. This step cleverly introduces image content information to correct the adaptive processing distance derived solely from physical location in S2, thus avoiding a disconnect between the compensation behavior and the image structure. Specifically, it first needs to identify multiple neighboring pixels (i.e., associated pixels) around the i-th pixel. This is typically done by selecting the pixels above, below, left, right, or including diagonal pixels in the pixel space grid under a non-deformable state. Next, each of these associated pixels needs to be evaluated: the difference between the output brightness data of the i-th pixel (i.e., the originally planned brightness value) and the output brightness data of each associated pixel is calculated. By taking the absolute value of their differences, a series of brightness difference values ​​reflecting the magnitude or intensity of brightness gradients between adjacent pixels are obtained. The magnitude of the brightness difference directly reflects the image structure characteristics of the local area where the pixel is located—whether it is a region with a smooth and uniform brightness transition or a boundary region with obvious brightness abrupt changes.

[0027] Furthermore, after obtaining the brightness differences of all related pixels, these differences need to be combined and converted into a single indicator—the adjustment ratio—to guide subsequent distance correction. This is done by selecting the largest value from the calculated brightness differences; this maximum value represents the maximum visual brightness difference between the i-th pixel and its brightest or darkest neighboring pixel. Then, this maximum brightness difference is compared to the i-th pixel's own output brightness value (the maximum value divided by the i-th pixel's brightness) to obtain the adjustment ratio for that pixel. A higher ratio indicates a more drastic change in brightness in the local image region where the i-th pixel is located (e.g., at text edges, graphic outlines, or other high-contrast locations); conversely, a lower ratio indicates that it is located in a relatively uniform brightness area (e.g., inside a large area of ​​color). The design intent of the adjustment ratio is to allow for stronger brightness compensation in edge regions with significant brightness abrupt changes (high adjustment ratio) to counteract edge blurring and sharpness loss caused by deformation; while in regions with uniform and smooth brightness (low adjustment ratio), the compensation intensity needs to be limited to avoid creating abrupt bright spots or noise in the originally smooth image due to excessive compensation, thus disrupting visual consistency. Therefore, the adjustment ratio is essentially a compensation intensity weighting factor based on the local content structure of the image. Its introduction enables the compensation strategy to adaptively perceive image texture details and transition characteristics.

[0028] In S4, the physical position deformation influence basis (adaptive processing distance) provided by S2 and the image content structure information (adjustment ratio) provided by S3 are combined to calculate the final actual brightness output value for each pixel to resist deformation brightness distortion.

[0029] First, the adaptive processing distance of the i-th pixel is corrected using the adjustment ratio of the pixel to generate a target processing distance. This correction process adjusts the perceptual weight of the original physical distance according to the image content: in high-contrast areas of the image (high adjustment ratio), the target processing distance is reduced to a smaller value than the original physical distance. This is equivalent to perceptually bringing the pixel closer to the deformation center, indicating a higher risk of brightness loss due to deformation and requiring stronger compensation. In uniform areas of the image (low adjustment ratio), the target processing distance is close to or equal to the original physical distance, meaning that the original deformation impact assessment is maintained.

[0030] Subsequently, the calculated target processing distance is compared with a preset distance threshold. This preset distance threshold is not a fixed value, but is dynamically determined based on the real-time strain data of the closest effective bending point to the i-th pixel. Specifically, the preset distance threshold is a dynamically generated variable whose value is directly related to the real-time strain data of the closest effective bending point to the i-th pixel. The specific calculation formula is: preset distance threshold = k * real-time strain data, where k is a material property coefficient (such as the strain transmission attenuation coefficient of a flexible substrate). For example, if the real-time strain at a certain effective bending point is 0.8% (a typical value when the screen is folded), and k = 1000 (unit: pixels / % strain), then the preset distance threshold = 1000 * 0.8 = 800 pixels. If the strain at another bending point is 0.5% (slight bending), the preset distance threshold = 1000 * 0.5 = 500 pixels. The compensation influence range of the high strain area (800 pixels) is wider than that of the low strain area (500 pixels). The greater the strain, the more severe the bending in the deformation center region, and its influence range may theoretically be wider. Therefore, the preset distance threshold should be larger accordingly, and vice versa.

[0031] Furthermore, the comparison results are used to determine the brightness enhancement ratio: if the target processing distance is greater than a preset distance threshold, it means that the pixel is still relatively far away even after correction, and the deformation impact is relatively small, so the original brightness is maintained directly (i.e., the brightness enhancement ratio is 1, no enhancement); conversely, if the target processing distance is within the preset threshold range, an enhancement ratio greater than 1 is set according to its relative proportion to the distance threshold. The closer the target processing distance is to the preset threshold (i.e., the smaller), the higher the enhancement ratio will be, meaning that areas closer to the core of the perceived deformation should receive more brightness enhancement to offset the deformation loss.

[0032] Furthermore, after obtaining the brightness enhancement ratio, a preliminary brightness calculation is performed by combining it with the originally planned output brightness data for that pixel (the brightness data to be output). Then, the physical limitations of the OLED display itself must be considered, namely, there is a maximum output brightness value limit (e.g., a digital 255). This limiting step ensures that no matter how large the calculated enhancement is, the final output brightness value will not exceed the actual capability range of the screen hardware, preventing invalid overbrightness output or color distortion caused by technical limitations. In this way, a brightness output strategy that considers the influence of physical deformation gradient, incorporates the local content structure characteristics of the image, and strictly adheres to hardware output constraints is finally determined for the i-th pixel, i.e., the actual brightness value that should be displayed. Through this pixel-by-pixel fine processing, step S4 strives to achieve a balance between compensating for brightness attenuation caused by deformation and maintaining the original content structure of the image, reducing noise introduced by overcompensation in uniform areas and blurring caused by insufficient compensation at high-contrast edges, ultimately outputting an image closer to the ideal state and improving the visual experience in curved states.

[0033] In summary, the adaptive data processing method for OLED flexible screen deformation firstly utilizes the original position data of pixels in a deformation-free state and the real-time physical deformation information captured by the strain sensor network to construct a pixel-level spatial distribution model of deformation influence. By identifying effective bending points and calculating the adaptive processing distance based on the original position for each pixel, this method quantifies the spatial non-uniformity of deformation gradient influence, overcoming the deficiency of existing schemes in underestimating pixels far from the bending center but still subject to gradient stress. Furthermore, image content characteristics are deeply integrated into the compensation decision. By analyzing the brightness difference between a pixel and its adjacent pixels, an adjustment ratio reflecting the structural characteristics of the local area (uniform smooth area or high-contrast edge area) is calculated. This ratio dynamically corrects the physical distance model to form the target processing distance. This correction allows for more sufficient brightness compensation in high-brightness-contrast edge areas (such as text boundaries) to resist the weakening of sharpness due to deformation, while limiting the compensation intensity in uniform brightness areas (such as solid color backgrounds), avoiding the introduction of artificial brightness noise or spots into the originally smooth image. Finally, by combining the preset distance threshold that dynamically changes with the deformation intensity and the maximum brightness limit of the OLED, an output strategy is generated for each pixel that takes into account both the spatial deformation position and the hardware physical constraints. This achieves an effective balance between compensating for the brightness decay caused by deformation and maintaining the original visual structure of the image, reducing undercompensation, overcompensation and the new artifacts they cause.

[0034] In one implementation, obtaining the effective bending point in S2 based on the real-time strain data of each strain sensing point includes: Obtain the preset strain threshold and mark the strain sensing points where the real-time strain data exceeds the preset strain threshold as valid bending points.

[0035] In this embodiment, it should be noted that the method identifies key deformation areas by setting a preset physical deformation threshold. Specifically, when setting the preset strain threshold, the lower limit of the yield strain of the flexible screen (e.g., the yield strain of the polyimide substrate is approximately 1.5%) needs to be set far below the material limit to ensure the identification of significant deformation. Mechanical testing is used to calibrate the inflection point of the actual impact of deformation on brightness (e.g., the critical strain at which brightness decay ≥ 5%). For example, measured data from the hinge area of ​​a folding screen shows that when the strain is ≥ 0.6%, the pixel brightness decay exceeds the acceptable range (3%). Therefore, the preset strain threshold is set to 0.6%. When the edge of the flexible screen is slightly bent (strain < 0.3%), the impact on brightness is negligible; therefore, only points with strain ≥ 0.6% are selected as valid bending points.

[0036] Furthermore, the real-time data (reflecting the degree of local tension / compression) at each strain sensor point is filtered. Only points whose strain data exceeds a preset threshold are marked as valid bending points. This threshold, set based on material mechanical properties, filters out minor deformations or noise interference, focusing on the core deformation areas that substantially affect the display effect. For example, when the screen is folded, sensors near the hinge are marked as valid points due to the high stress they experience, while points in the center of the screen that do not reach the threshold are excluded. This step accurately locates the actual physical source causing brightness distortion.

[0037] like Figure 2 As shown, in one embodiment, obtaining the brightness difference between the output brightness data of the i-th pixel and the output brightness data of each associated pixel in S3 includes: S31. Subtract the output brightness data of each associated pixel from the output brightness data of the i-th pixel and take the absolute value to obtain the brightness difference of each pixel.

[0038] In this embodiment, it should be noted that in S31, image structural features are captured by quantizing the brightness relationship between a pixel and its local neighborhood. Specifically, for the i-th pixel, its original planned brightness value is compared with the planned brightness of each associated pixel: the absolute value of the difference between the brightness of the i-th pixel and the brightness of the associated pixels is taken to obtain a series of non-directional brightness difference values. This operation avoids the cancellation of positive and negative differences, ensuring that small differences in uniform areas and large differences at high-contrast edges can be effectively recorded. For example, at the boundary between text and background, the absolute value of the brightness difference between text pixels and adjacent background pixels is relatively large; while inside a solid color background, the absolute value of the brightness difference between adjacent pixels approaches zero.

[0039] like Figure 2 As shown, in one embodiment, obtaining the adjustment ratio of the i-th pixel based on multiple brightness differences of the i-th pixel in S3 includes: S32. Select the maximum value among multiple brightness differences of the i-th pixel; S33. Divide the maximum value by the output brightness data of the i-th pixel to obtain the adjustment ratio of the i-th pixel.

[0040] In this embodiment, it should be noted that in step S32, the most visually impactful brightness change intensity is identified from the local neighborhood. The maximum value is selected from multiple brightness differences calculated in S31; this value represents the degree of visual difference between the i-th pixel and its least similar associated pixel. The maximum value extraction strategy focuses on the most prominent brightness abrupt changes in local regions, such as pixels at sharp edges or detailed contours in the image, which have higher maximum brightness differences; conversely, pixels in smooth gradient regions have lower maximum brightness differences. This design ensures that subsequent calculations prioritize responses to high-contrast changes that are sensitive to the human eye.

[0041] In step S33, the maximum brightness difference obtained in step S32 is compared with the original brightness of the i-th pixel to generate a dimensionless adjustment ratio. This ratio reflects the relative intensity rather than the absolute intensity of local brightness abrupt changes: for example, in low-brightness areas (such as dark gray text), a smaller absolute difference may produce a higher ratio; while in high-brightness areas (such as a white background), the same absolute difference produces a lower ratio. This relative quantization method better aligns with the human eye's perception of contrast, ensuring sufficient compensation is triggered even at the edges of dark areas, while avoiding excessive enhancement of bright areas. The final generated adjustment ratio serves as a key basis for subsequent physical model corrections.

[0042] like Figure 3 As shown, in one embodiment, obtaining the target processing distance of the i-th pixel in S4 based on the adjustment ratio of the i-th pixel and the adaptive processing distance of the i-th pixel includes: S41. Subtract the adjustment ratio of the i-th pixel from 1 to obtain the correction ratio of the i-th pixel; S42. Multiply the adaptive processing distance of the i-th pixel by the correction ratio to obtain the target processing distance of the i-th pixel.

[0043] In this embodiment, it should be noted that in S41, the adjustment ratio obtained from S3 is converted according to the characteristics of the image content to generate a key factor for subsequent distance correction—the correction ratio.

[0044] The specific operation involves subtracting the adjustment ratio of the i-th pixel from a fixed value (representing the unadjusted state). The adjustment ratio, as shown in S3, reflects the degree of brightness variation in the local area of ​​that pixel (i.e., whether the image content is smooth or has edge detail). Therefore, the result of this subtraction (the correction ratio) is directly related to the image structure: in areas with high adjustment ratios (such as sharp image edges), the calculated correction ratio will be smaller; while in areas with low adjustment ratios (such as uniform color blocks), the correction ratio will be close to or equal to the fixed value. The correction ratio is set so that in the next step, based on the characteristics of the image structure, the basic physical distance (adaptive processing distance) obtained from S2 can be appropriately scaled and adjusted.

[0045] In S42, the basic physical deformation impact metric (adaptive processing distance) provided by S2 is combined with the image content-based correction ratio provided by S41 to calculate a final target processing distance used for brightness compensation decision. The operation involves multiplying the adaptive processing distance of the i-th pixel by its corresponding correction ratio value. The practical effect of this multiplication is that in regions with high adjustment ratios (corresponding to smaller correction ratios), the original adaptive processing distance is significantly reduced, resulting in a smaller target processing distance; in regions with low adjustment ratios (corresponding to larger correction ratios), the target processing distance is close to or equal to the original adaptive processing distance. Therefore, the target processing distance is no longer a purely physical spatial distance, but rather an effective deformation impact distance that incorporates image content perception. It quantifies the level of impact that a pixel should perceive relative to the deformation core after considering the local structure of the image.

[0046] like Figure 4 As shown, in one embodiment, obtaining the brightness enhancement ratio of the i-th pixel in S4 based on the target processing distance of the i-th pixel and a preset distance threshold includes: S43. If the target processing distance of the i-th pixel exceeds the preset distance threshold, then 1 is used as the brightness enhancement ratio of the i-th pixel. S44. If the target processing distance of the i-th pixel does not exceed the preset distance threshold, then divide the absolute difference between the preset distance threshold and the target processing distance of the i-th pixel by the preset distance threshold to obtain the processing ratio, and add 1 to the processing ratio as the brightness enhancement ratio of the i-th pixel.

[0047] In this embodiment, it should be noted that in S43, the target processing distance calculated in S42 is compared with a dynamic preset distance threshold, and a decision is made to maintain the original brightness of pixels far from the core deformation influence range based on the comparison result. The preset distance threshold is set based on the real-time strain data of the nearest effective bending point of the pixel. The larger the strain, the larger the threshold is usually, indicating a wider deformation influence range. The specific decision logic is: if the target processing distance is greater than this preset threshold, it is determined that even after image content perception correction, the pixel is still located relatively far from the core deformation influence area, and the deformation interference it suffers is expected to be within an acceptable range, or the compensation requirement is low. At this time, it is decided not to enhance its brightness, and the brightness enhancement ratio remains at the original value (representing no enhancement). This avoids unnecessary compensation in areas with weak deformation influence.

[0048] In S44, pixels whose target processing distance is within a preset distance threshold range (i.e., close to the core deformation influence area) are processed, and a brightness enhancement ratio greater than one is calculated for them. The operation includes: first, calculating the absolute difference between the preset distance threshold and the target processing distance; then, dividing this difference by the preset distance threshold itself to obtain a ratio representing the degree to which the pixel is relatively close to the core (the ratio to be processed); finally, adding one to this ratio to obtain the brightness enhancement ratio. This calculation process means that the closer the target processing distance is to the starting point of the preset threshold (i.e., the smaller the distance value), the larger the corresponding difference, the larger the ratio to be processed, and the larger the final brightness enhancement ratio; conversely, the closer the target processing distance is to the ending point of the preset threshold (the distance value is larger), the smaller the enhancement ratio is, but it is still greater than one. This mechanism ensures that within the effective deformation influence area, the closer the location is to the deformation core (whether physically close or perceived closer due to image edge characteristics), the more the brightness compensation intensity exhibits a gradient increasing trend, which better reflects the actual influence law of deformation stress distribution.

[0049] like Figure 5 As shown, in one embodiment, the strategy for obtaining the brightness output of the i-th pixel in S4 based on the brightness enhancement ratio of the i-th pixel and the brightness data to be output includes: S45. Multiply the brightness enhancement ratio of the i-th pixel by the brightness data to be output, and obtain the pre-output brightness value; S46. Obtain the maximum output brightness value. If the pre-output brightness value exceeds the maximum output brightness value, use the maximum output brightness value as the brightness output strategy for the i-th pixel. If the pre-output brightness value does not exceed the maximum output brightness value, use the pre-output brightness value as the brightness output strategy for the i-th pixel.

[0050] In this embodiment, it should be noted that in S45, the compensation intensity (brightness enhancement ratio) obtained from the analysis and judgment in all previous steps is directly applied to the original planned output brightness data (brightness data to be output) of the i-th pixel. This operation involves multiplying these two values. The result of the multiplication is called the pre-output brightness value. This value represents the preliminary actual display brightness value for the pixel after comprehensively considering its spatial location (S2), the local content characteristics of the image (S3), and the effective deformation influence and required compensation intensity determined by both (S41-S44). It attempts to restore or maintain the original visual expression of the image under the condition of physical deformation.

[0051] In S46, the pre-output brightness value output in S45 undergoes a final physical hardware limit check and correction to form the final brightness output strategy for the i-th pixel. OLED screens have a physically maximum luminance value that can emit light (e.g., a maximum brightness value of 255 expressed numerically). The pre-output brightness value is compared with this maximum brightness value: if the pre-output value exceeds this maximum value, it means that the brightness requirement calculated according to the aforementioned compensation scheme exceeds the actual hardware capability of the screen. In this case, the output strategy forces the use of the maximum brightness value to prevent signal overflow, color distortion, or unnecessary power consumption due to invalid overcompensation; conversely, if the pre-output value does not exceed the maximum value, it is directly used as the final brightness output value.

[0052] An adaptive data processing system for OLED flexible screen deformation is also provided, the system comprising: The data acquisition module is used to acquire the original position data and brightness data to be output of each pixel on the flexible screen, acquire multiple strain sensing points set on the flexible screen, and acquire the real-time strain data of each strain sensing point at the current moment. The distance data processing module is used to obtain the effective bending point based on the real-time strain data of each strain sensing point, obtain the distance between the effective bending point closest to the i-th pixel and the i-th pixel, and record it as the adaptive processing distance of the i-th pixel. The proportional data processing module is used to obtain multiple adjacent pixels of the i-th pixel and use them as associated pixels of the i-th pixel, obtain the brightness difference between the brightness data to be output of the i-th pixel and the brightness data to be output of each associated pixel of the i-th pixel, and obtain the adjustment ratio of the i-th pixel based on the multiple brightness differences of the i-th pixel. The adaptive output module is used to obtain the target processing distance of the i-th pixel based on the adjustment ratio of the i-th pixel and the adaptive processing distance of the i-th pixel, obtain the brightness enhancement ratio of the i-th pixel based on the target processing distance of the i-th pixel and a preset distance threshold, and obtain the brightness output strategy of the i-th pixel based on the brightness enhancement ratio of the i-th pixel and the brightness data to be output.

[0053] In one embodiment, the distance data processing module is further configured to: acquire a preset strain threshold and mark strain sensing points whose real-time strain data exceeds the preset strain threshold as valid bending points.

[0054] In one embodiment, the proportional data processing module is further configured to: subtract the output brightness data of each associated pixel from the output brightness data of the i-th pixel and take the absolute value, thereby obtaining the brightness difference values ​​of each pixel.

[0055] In this embodiment, it should be noted that the specific method of performing the operation of the above-mentioned OLED flexible screen deformation adaptive data processing system has been described in detail in the embodiments of the OLED flexible screen deformation adaptive data processing method, and will not be elaborated here.

[0056] The preferred embodiments of this disclosure have been described in detail above with reference to the accompanying drawings. However, this disclosure is not limited to the specific details of the above embodiments. Within the scope of the technical concept of this disclosure, various simple modifications can be made to the technical solutions of this disclosure, and these simple modifications all fall within the protection scope of this disclosure.

[0057] It should also be noted that the various specific technical features described in the above embodiments can be combined in any suitable manner without contradiction. To avoid unnecessary repetition, this disclosure will not describe the various possible combinations separately.

[0058] Furthermore, various different embodiments of this disclosure can be combined in any way, as long as they do not violate the spirit of this disclosure, they should also be regarded as the content disclosed in this disclosure.

[0059] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be covered within the scope of the claims and specification of the present invention.

Claims

1. An OLED flexible screen deformation adaptive data processing method, characterized in that, The method comprises the following steps: acquiring original position data and to-be-output luminance data of each pixel point on a flexible screen, acquiring a plurality of strain sensing points arranged on the flexible screen, and acquiring real-time strain data of each strain sensing point at the current moment; acquiring an effective bending point according to the real-time strain data of each strain sensing point, acquiring a distance between the effective bending point closest to the i-th pixel point and the i-th pixel point and taking the distance as an adaptive processing distance of the i-th pixel point; acquiring a plurality of pixel points adjacent to the i-th pixel point as associated pixel points of the i-th pixel point, acquiring a luminance difference between the to-be-output luminance data of the i-th pixel point and the to-be-output luminance data of each associated pixel point of the i-th pixel point, and acquiring an adjustment ratio of the i-th pixel point according to a plurality of luminance differences of the i-th pixel point; acquiring a target processing distance of the i-th pixel point according to the adjustment ratio of the i-th pixel point and the adaptive processing distance of the i-th pixel point, acquiring a luminance enhancement ratio of the i-th pixel point according to the target processing distance of the i-th pixel point and a preset distance threshold, and acquiring a luminance output strategy of the i-th pixel point according to the luminance enhancement ratio of the i-th pixel point and the to-be-output luminance data.

2. The OLED flexible screen deformation self-adaptive data processing method according to claim 1, characterized in that, The method comprises the following steps: acquiring a preset strain threshold, and marking a strain sensing point whose real-time strain data exceeds the preset strain threshold as an effective bending point.

3. The OLED flexible screen deformation self-adaptive data processing method according to claim 1, characterized in that, The method comprises the following steps: subtracting the to-be-output luminance data of each associated pixel point of the i-th pixel point from the to-be-output luminance data of the i-th pixel point and taking an absolute value to obtain each luminance difference of the i-th pixel point.

4. The OLED flexible screen deformation self-adaptive data processing method according to claim 1, characterized in that, The method comprises the following steps: selecting a maximum value in the plurality of luminance differences of the i-th pixel point; dividing the maximum value by the to-be-output luminance data of the i-th pixel point to obtain the adjustment ratio of the i-th pixel point.

5. The OLED flexible screen deformation self-adaptive data processing method according to claim 1, characterized in that, The method comprises the following steps: subtracting the adjustment ratio of the i-th pixel point from 1 to obtain a correction ratio of the i-th pixel point; multiplying the adaptive processing distance of the i-th pixel point by the correction ratio to obtain the target processing distance of the i-th pixel point.

6. The OLED flexible screen deformation self-adaptive data processing method according to claim 1, characterized in that, The method comprises the following steps: if the target processing distance of the i-th pixel point exceeds the preset distance threshold, taking 1 as the luminance enhancement ratio of the i-th pixel point; if the target processing distance of the i-th pixel point does not exceed the preset distance threshold, dividing an absolute difference between the preset distance threshold and the target processing distance of the i-th pixel point by the preset distance threshold to obtain a to-be-processed ratio, and adding 1 to the to-be-processed ratio to obtain the luminance enhancement ratio of the i-th pixel point.

7. The OLED flexible screen deformation self-adaptive data processing method according to claim 1, characterized in that, The method comprises the following steps: The brightness enhancement ratio of the i-th pixel point is multiplied by the to-be-output brightness data, and a pre-output brightness value is obtained; The maximum output brightness value is obtained, and if the pre-output brightness value exceeds the maximum output brightness value, the maximum output brightness value is taken as the brightness output strategy of the i-th pixel point, and if the pre-output brightness value does not exceed the maximum output brightness value, the pre-output brightness value is taken as the brightness output strategy of the i-th pixel point.

8. An OLED flexible screen deformation self-adaptive data processing system, characterized in that, The system comprises: A data acquisition module is configured to acquire original position data and to-be-output brightness data of each pixel point on the flexible screen, acquire a plurality of strain sensing points arranged on the flexible screen, and acquire real-time strain data of each strain sensing point at the current moment; The distance data processing module is configured to acquire effective bending points according to the real-time strain data of each strain sensing point, acquire a distance between the i-th pixel point and an effective bending point closest to the i-th pixel point and take the distance as an adaptive processing distance of the i-th pixel point; The proportion data processing module is configured to acquire a plurality of pixel points adjacent to the i-th pixel point as associated pixel points of the i-th pixel point, acquire brightness difference values between the to-be-output brightness data of the i-th pixel point and to-be-output brightness data of each associated pixel point of the i-th pixel point, and acquire an adjustment ratio of the i-th pixel point according to a plurality of brightness difference values of the i-th pixel point; The adaptive output module is configured to acquire a target processing distance of the i-th pixel point according to the adjustment ratio of the i-th pixel point and the adaptive processing distance of the i-th pixel point, acquire a brightness enhancement ratio of the i-th pixel point according to the target processing distance of the i-th pixel point and a preset distance threshold, and acquire a brightness output strategy of the i-th pixel point according to the brightness enhancement ratio of the i-th pixel point and the to-be-output brightness data.

9. The OLED flexible screen deformation self-adaptive data processing system according to claim 8, characterized in that, The distance data processing module is further configured to: Acquire a preset strain threshold, and mark a strain sensing point whose real-time strain data exceeds the preset strain threshold as an effective bending point.

10. The OLED flexible screen deformation self-adaptive data processing system according to claim 8, characterized in that, The proportion data processing module is further configured to: Subtract the to-be-output brightness data of each associated pixel point of the i-th pixel point from the to-be-output brightness data of the i-th pixel point and take an absolute value, so as to obtain each brightness difference value of the i-th pixel point.

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