Point-by-point correction method, device and equipment for LED display screen and storage medium

Abstract

The invention provides a point-by-point correction method, device and equipment for an LED display screen and a storage medium, and the method comprises the steps: obtaining a correction coefficient matrix of each sub-pixel in a pixel unit, the correction coefficient matrix comprising a main color coefficient and a complementary color coefficient; merging the similar complementary color coefficients of all the sub-pixels in the unit to generate a shared merged complementary color coefficient; based on all the independent main color coefficients and the shared combined complementary color coefficients, constructing an optimized correction coefficient set of the pixel units; and finally, performing real-time correction on the input signal according to the coefficient set. According to the invention, through distinguishing processing and merging sharing of the complementary color coefficients, the correction data volume is greatly compressed on the premise of ensuring the brightness uniformity, so that the loading bottleneck of a receiving card is broken through, and the system cost is effectively reduced while high-precision display is realized.

Description

Technical Field

[0001] This invention relates to the field of LED display technology, and in particular to a point-by-point calibration method, apparatus, device, and storage medium for an LED display screen. Background Technology

[0002] LED displays are composed of a large number of RGB light-emitting pixels. Due to the discreteness of the manufacturing process, the photoelectric characteristics of each pixel are different, resulting in uneven brightness and color on the screen, known as "pockmarks". To improve display uniformity, the industry generally adopts "point-by-point correction" technology, which involves collecting the light emission data of each pixel, calculating a set of correction coefficients, and then compensating the input signal in real time during driving.

[0003] With the widespread adoption of small-pitch display technologies such as Mini-LED and COB, pixel density has increased dramatically, leading to an exponential increase in the number of pixels that a single receiver card needs to control. To achieve high-quality calibration, a calibration matrix containing nine coefficients (three primary color coefficients for adjusting brightness and six complementary color coefficients for correcting color crosstalk) is typically calculated and stored for each RGB pixel, with each coefficient often requiring 14 bits of high-precision storage. For example, in a common four-in-one package (containing four independent pixels), the calibration data required for a single LED can reach as high as 504 bits. This massive amount of calibration data severely consumes the receiver card's storage and processing resources, becoming a core bottleneck limiting its load capacity.

[0004] Existing technologies face a dilemma: if high-precision coefficients are used to ensure image quality, the load capacity is low and the system cost is high; if the coefficient precision is reduced to improve load capacity, significant quantization errors will be introduced, resulting in graininess and color blocks in the display, sacrificing image quality.

[0005] In summary, the problems existing in the current technology urgently need to be solved. Summary of the Invention

[0006] This invention provides a point-by-point calibration method, apparatus, device, and storage medium for LED displays, which addresses the shortcomings of existing technologies and achieves high-precision display while effectively reducing system costs.

[0007] This invention provides a point-by-point calibration method for an LED display screen, comprising: Obtain the correction coefficient matrix of each sub-pixel within the pixel unit to be corrected; the correction coefficient matrix includes the correction primary color coefficient for adjusting the brightness of each color channel and the correction complementary color coefficient for correcting color crosstalk between channels; For all sub-pixels within the pixel unit, the same type of correction complementary color coefficients are merged to generate a merged complementary color coefficient that is shared by all sub-pixels within the pixel unit. An optimized set of correction coefficients for the pixel unit is constructed based on the independent correction primary color coefficients of all sub-pixels and the merged complementary color coefficients shared by the sub-pixels. The input signal of each sub-pixel within the pixel unit is corrected in real time according to the optimized correction coefficient set.

[0008] According to the point-to-point calibration method for an LED display screen provided by the present invention, the step of obtaining the calibration coefficient matrix of each sub-pixel within the pixel unit to be calibrated specifically includes: Collect the luminescence data of each sub-pixel within the pixel unit; Based on the luminescence data, the original tristimulus value matrix of each sub-pixel is calculated; Based on the preset target display effect, determine the target tristimulus value matrix; For each sub-pixel, matrix operations are performed between the inverse of the corresponding original tristimulus value matrix and the target tristimulus value matrix to obtain the original correction coefficient matrix of that sub-pixel.

[0009] According to the point-to-point calibration method for an LED display screen provided by the present invention, the step of merging the same type of calibration complementary color coefficients for all sub-pixels within the pixel unit to generate a merged complementary color coefficient shared by all sub-pixels within the pixel unit specifically includes: For each type of complementary color coefficient in the original correction coefficient matrix, obtain the set of values ​​for the corresponding type of complementary color coefficient for all sub-pixels within the pixel unit; Based on the set of values, the corresponding complementary color coefficients for this class are generated through merging calculations. The merged complementary color coefficient will be used as a shared coefficient for all sub-pixels within the pixel unit during real-time correction.

[0010] According to the present invention, a point-by-point calibration method for an LED display screen is provided, wherein the merging complementary color coefficients... Calculated using the following formula:

[0011] in, M The total number of sub-pixels within the pixel unit. For the first i subpixels k Class-corrected complementary color factor, For the first k The combined value of complementary color coefficients.

[0012] According to the point-to-point calibration method for an LED display screen provided by the present invention, the step of real-time calibration of the input signal of each sub-pixel within the pixel unit based on the optimized calibration coefficient set specifically includes: For any sub-pixel to be corrected within the pixel unit, read the independent primary color coefficient of the sub-pixel from the optimized correction coefficient set, and read the merged complementary color coefficient shared by the pixel unit; Based on the independent corrected primary color coefficient and the shared merged complementary color coefficient of the sub-pixel, a real-time correction matrix for the sub-pixel to be corrected is constructed. The input signal vector of the sub-pixel to be corrected is multiplied by the constructed real-time correction matrix to obtain the corrected output signal vector.

[0013] According to the present invention, a point-to-point calibration method for an LED display screen, after the step of real-time calibration of the input signal of each sub-pixel within the pixel unit based on the optimized calibration coefficient set, the method further includes: Monitor the operating status parameters of the pixel unit; Based on the monitoring results, at least some of the coefficients in the optimized correction coefficient set are adjusted.

[0014] According to the point-to-point calibration method for an LED display screen provided by the present invention, the step of adjusting at least some coefficients in the optimized calibration coefficient set based on monitoring results specifically includes: Based on the operating state parameters, an adjustment strategy for the optimized correction coefficient set is determined; According to the adjustment strategy, at least some coefficients in the optimized correction coefficient set are adjusted to generate an updated optimized correction coefficient set.

[0015] The present invention also provides a point-to-point calibration device for an LED display screen, comprising: The data acquisition module is used to acquire the correction coefficient matrix of each sub-pixel within the pixel unit to be corrected; the correction coefficient matrix includes the correction primary color coefficient used to adjust the brightness of each color channel and the correction complementary color coefficient used to correct color crosstalk between channels; The coefficient merging module is used to merge the same type of correction complementary color coefficients for all sub-pixels within the pixel unit to generate merged complementary color coefficients that are shared by all sub-pixels within the pixel unit. The coefficient optimization module is used to construct an optimized correction coefficient set for the pixel unit based on the independent correction primary color coefficients of all sub-pixels and the merged complementary color coefficients shared by the sub-pixels. The signal correction module is used to perform real-time correction on the input signal of each sub-pixel within the pixel unit according to the optimized correction coefficient set.

[0016] The present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the point-to-point calibration method of the LED display screen as described above.

[0017] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the point-to-point calibration method for an LED display screen as described above.

[0018] The present invention also provides a computer program product, including a computer program that, when executed by a processor, implements the point-to-point calibration method for the LED display screen as described above.

[0019] The point-to-point calibration method, apparatus, device, and storage medium for LED displays provided by this invention achieve a fundamental reduction in calibration data volume by employing a "dominant color coefficient, complementary color coefficient shared" technical approach. This significantly improves the load capacity of the receiver card and reduces system costs while maintaining high-end display quality. Specifically, by fully preserving the independent primary color coefficients of each sub-pixel that determines brightness uniformity, the uniformity of the screen's background color and visual "cleanliness" are fundamentally guaranteed. Simultaneously, by merging and sharing the same type of complementary color coefficients of all sub-pixels within the same pixel unit, based on the physical basis of highly consistent photoelectric characteristics of sub-pixels within small-pitch units, the introduced color deviation is almost imperceptible to the human eye, thus achieving near-lossless data compression. Taking a four-in-one pixel unit as an example, the total amount of calibration data can be reduced by approximately 50%, which roughly doubles the load capacity of the receiver card with equivalent hardware resources. This significantly reduces the number of receiver cards required to drive a screen of the same resolution, the complexity of system wiring, and the overall cost. The method has a clear principle and is not only naturally applicable to integrated packaged LEDs such as four-in-one LEDs but can also be extended to pixel units composed of discrete LED logic, possessing broad applicability and significant commercial value. Attached Figure Description

[0020] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0021] Figure 1 This is a flowchart illustrating the point-to-point calibration method for LED displays provided by the present invention. Figure 2 This is a schematic diagram of the point-to-point calibration device for LED displays provided by the present invention; Figure 3 This is a schematic diagram of the structure of the electronic device provided by the present invention. Detailed Implementation

[0022] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this invention. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without creative effort are within the scope of protection of this invention.

[0023] To address the problems in existing technologies, this invention proposes a point-by-point calibration method for LED displays, achieving high-precision display while effectively reducing system costs. The point-by-point calibration method for LED displays is described below, as follows: Figure 1 As shown, including but not limited to the following steps: Step 110: Obtain the correction coefficient matrix of each sub-pixel within the pixel unit to be corrected; the correction coefficient matrix includes the correction primary color coefficient for adjusting the brightness of each color channel and the correction complementary color coefficient for correcting color crosstalk between channels.

[0024] This step aims to calculate a complete, high-precision original correction coefficient matrix for each sub-pixel (such as an RGB LED) within the basic unit constituting the display unit—the "pixel unit." The pixel unit can be a physically packaged integrated device (such as a four-in-one Mini-LED containing four independent pixels) or multiple discrete LED sub-pixels logically grouped for processing. The correction coefficient matrix is ​​a 3x3 linear transformation matrix, containing correction primary color coefficients (located on the main diagonal of the matrix) for adjusting the brightness of the red, green, and blue color channels, and correction complementary color coefficients (located on the non-main diagonal of the matrix) for correcting crosstalk between different color channels. In one specific embodiment, the original correction coefficient matrix can be obtained by collecting the emission data of each sub-pixel, calculating its original tristimulus value matrix, and combining it with a preset target tristimulus value matrix through matrix operations.

[0025] Step 120: For all sub-pixels within the pixel unit, merge the same type of correction complementary color coefficients to generate merged complementary color coefficients that are shared by all sub-pixels within the pixel unit.

[0026] This step is a key innovation in achieving data compression. Given the high degree of consistency in the manufacturing process, materials, and operating environment of sub-pixels within the same pixel unit (especially within physically integrated units), their color crosstalk characteristics (characterized by complementary color coefficients) are also extremely similar. Therefore, merging the complementary color coefficients of the same type for each sub-pixel (e.g., the "red affects green" coefficient Rg for all sub-pixels) and using a single shared coefficient to approximate this characteristic of the entire unit introduces a visually negligible error. The merging operation can employ various methods such as arithmetic average, weighted average, or median selection. For example, for a unit containing M sub-pixels, the merged value of its k-th type complementary color coefficient can be obtained using the formula... Calculation, where For the first i subpixels k Class-corrected complementary color factor, For the first k The combined value of complementary color coefficients.

[0027] Step 130: Based on the independent correction primary color coefficients of all sub-pixels and the merged complementary color coefficients shared by the sub-pixels, construct the optimized correction coefficient set of the pixel unit.

[0028] This step reorganizes the results of the first two steps into an efficient and compact data structure. This optimized correction coefficient set fully preserves the unique and critical primary color coefficients for each sub-pixel (3M in total), while storing only one copy of the shared merged complementary color coefficients (6 in total) generated in step S120. This data structure design clearly defines the coefficient attribution, facilitating storage and fast indexing. Taking 14-bit precision storage as an example, a unit containing M=4 sub-pixels has a total data size of only (3*4 + 6) * 14 = 252 bits for its optimized correction coefficient set, a 50% reduction compared to the traditional 504-bit scheme that stores four complete matrices.

[0029] Step 140: Perform real-time correction on the input signal of each sub-pixel within the pixel unit according to the optimized correction coefficient set.

[0030] When the display is functioning normally, the receiver card driver logic performs real-time pixel correction based on an optimized correction coefficient set. For any target sub-pixel within a pixel unit, the driver logic reads the three independent primary color coefficients of that sub-pixel from its optimized correction coefficient set, and also reads the six shared complementary color coefficients of that unit. Subsequently, these nine coefficients are used to construct a real-time correction matrix specifically for that sub-pixel (its main diagonal consists of independent primary color coefficients, and the off-diagonal consists of shared complementary color coefficients). Finally, the input video signal vector is multiplied by this real-time correction matrix to obtain the corrected driver signal output, thereby controlling the LED illumination and achieving a uniform and accurate display effect.

[0031] As a further optional embodiment, the step of obtaining the correction coefficient matrix of each sub-pixel within the pixel unit to be corrected specifically includes: Collect the luminescence data of each sub-pixel within the pixel unit; Based on the luminescence data, the original tristimulus value matrix of each sub-pixel is calculated; Based on the preset target display effect, determine the target tristimulus value matrix; For each sub-pixel, matrix operations are performed between the inverse of the corresponding original tristimulus value matrix and the target tristimulus value matrix to obtain the original correction coefficient matrix of that sub-pixel.

[0032] In this embodiment, data acquisition is first performed. In a controlled optical measurement environment (such as a darkroom), an image acquisition device is used to photograph the target LED display screen. The display screen is controlled to light up in a time-division manner, displaying pure red, pure green, pure blue, and pure white images covering the entire screen respectively. For a selected pixel unit to be corrected, from the acquired series of images, image processing and positioning algorithms are used to accurately extract the brightness and chromaticity data of each sub-pixel within that unit (e.g., the four independent RGB sub-pixels within a four-in-one LED bead) under the four colors of light. These data reflect the true light-emitting characteristics of each sub-pixel under actual driving.

[0033] Next, tristimulus values ​​are calculated. Based on color science principles, the luminescence characteristics of a sub-pixel can be completely described by a 3x3 raw tristimulus value matrix (denoted as Xj, where j represents the j-th sub-pixel within that unit). Using the luminescence data obtained in the previous step, Xj is calculated for each sub-pixel. Each column of this matrix corresponds to the output when a color channel is driven individually: the first column contains the red, green, and blue tristimulus values ​​generated when only the red channel is illuminated; the second column corresponds to when only the green channel is illuminated; and the third column corresponds to when only the blue channel is illuminated. This step transforms the physical measurement data into standard color science model parameters.

[0034] Next, the target tristimulus value matrix is ​​determined. Based on the display standards expected to be achieved by the LED display (e.g., target color gamut such as Rec.709 or DCI-P3, target white point color temperature such as 6500K, and target brightness), a uniform target tristimulus value matrix X is calculated or defined. target This matrix characterizes the light and color output response that an ideal, uniform display unit should have, and is the common goal of all sub-pixel correction.

[0035] Finally, the original correction coefficient matrix is ​​solved. For the j-th sub-pixel within a pixel unit, its original correction coefficient matrix Cj is precisely the matrix that can transform its non-ideal original response X. j Linear transformation to the ideal target response X targetThe transformation matrix is ​​obtained by solving the matrix equation C. j X j =X targe , to obtain C j =X target X j 1 , where X j 1 It is X j The inverse matrix of . Therefore, C is calculated. j That is, a complete 3x3 correction coefficient matrix, whose main diagonal elements (such as Rr) j Gg j ,Bb j This refers to the primary color correction factor, which applies to non-main diagonal elements (such as Rg). j ,Rb j Gr j ,Gb j ,Br j Bg j This refers to the corrected complementary color coefficient. This provides a high-precision initial data foundation for subsequent coefficient merging and optimization.

[0036] This specific implementation clarifies the complete scientific calculation process from physical measurement to mathematical modeling, ensuring the accuracy and reliability of the obtained correction coefficients and laying the foundation for the entire "high-precision compression" scheme.

[0037] As a further optional embodiment, the step of merging the same type of correction complementary color coefficients for all sub-pixels within the pixel unit to generate a merged complementary color coefficient shared by all sub-pixels within the pixel unit specifically includes: For each type of complementary color coefficient in the original correction coefficient matrix, obtain the set of values ​​for the corresponding type of complementary color coefficient for all sub-pixels within the pixel unit; Based on the set of values, the corresponding complementary color coefficients for this class are generated through merging calculations. The merged complementary color coefficient will be used as a shared coefficient for all sub-pixels within the pixel unit during real-time correction.

[0038] The core of this step is to perform an "extraction-merging" process on the several independent and complete original correction coefficient matrices obtained in step S110 to achieve data compression. The specific operations are as follows: 1. Coefficient classification and numerical set acquisition: First, the original correction coefficient matrix of each sub-pixel within the pixel unit is analyzed. Each 3x3 matrix contains 6 off-diagonal elements, namely 6 types of correction complementary color coefficients, which correspond to different color crosstalk paths (e.g., R→G, R→B, G→R, G→B, B→R, B→G).

[0039] For each type of complementary color coefficient (taking "the influence coefficient of red on green Rg" as an example), the corresponding coefficient values ​​are extracted from the original correction coefficient matrix of all M sub-pixels (e.g., M=4) within that pixel unit. These values ​​are then aggregated to form a numerical set for that type of complementary color coefficient. For a unit containing M sub-pixels, each type of complementary color coefficient will form a set containing M values.

[0040] 2. Combine and calculate to generate sharing coefficients: Next, a merging calculation function is applied to each of the numerical sets obtained above, thereby generating a single, representative numerical value for that type of complementary color coefficient, namely the merged complementary color coefficient.

[0041] Choice of aggregation function: This function can be one of several data aggregation methods, designed to generate a central trend value from a set of similar values. For example: Arithmetic mean function: Calculates the average of all coefficients in the set of values. This is the most commonly used and computationally simple method, effectively smoothing out small differences.

[0042] Weighted average function: Each coefficient in the set is assigned a weight (such as based on the brightness of the sub-pixel, its position in the cell, or a reliability metric), and then a weighted average is calculated. This is suitable for scenarios where differences between sub-pixels need to be considered.

[0043] Median selection function: Selects the median of the set of values. This method is less sensitive to outliers and is more robust.

[0044] After performing this operation on each of the six types of coefficients, six combined complementary color coefficients are obtained.

[0045] The six merged complementary color coefficients generated are defined as shared resources for the entire pixel unit. In the subsequent real-time correction stage (step S140), each sub-pixel within this unit will use this shared set of merged complementary color coefficients during color transformation, instead of using its own original, independent complementary color coefficients. This "sharing" mechanism is key to the data compression in this embodiment; it compresses the M sets of complementary color coefficients (6M in total) that originally needed to be stored for M sub-pixels into only one set (6 coefficients), with the compression rate directly related to the number of sub-pixels M.

[0046] As a further optional embodiment, the merging complementary color coefficientsC merge Calculated using the following formula:

[0047] in, M The total number of sub-pixels within the pixel unit. C i For the first i The type of correction complementary color coefficient for each sub-pixel.

[0048] The specific operation process is as follows: Determine the calculation object: First, clarify which type of complementary color coefficient is being calculated (such as Rg, Rb, etc.).

[0049] Data aggregation: Extract the complementary color coefficients of this type from the original correction coefficient matrix of all M sub-pixels of the pixel unit that has been stored or calculated, forming a list containing M values. Perform an arithmetic mean: sum all M coefficient values ​​in the list, then divide the sum by the total number of subpixels M.

[0050] Output: The calculated quotient is the combined value of the complementary color coefficients for this type. This arithmetic mean formula is intuitive, computationally efficient, and effectively combines the complementary color characteristics of sub-pixels within a pixel unit to generate a representative center value. Due to the similarity in materials and processes among sub-pixels within a unit, their complementary color coefficients have very small dispersion. The arithmetic mean effectively preserves their commonalities while reducing storage requirements from M coefficients to 1 coefficient, making it a simple and effective method for achieving efficient data compression. Applying this formula to each of the six types of complementary color coefficients completes the merging process of the complementary color coefficients for the entire pixel unit.

[0051] As a further optional embodiment, the step of real-time correction of the input signal of each sub-pixel within the pixel unit according to the optimized correction coefficient set specifically includes: For any sub-pixel to be corrected within the pixel unit, read the independent primary color coefficient of the sub-pixel from the optimized correction coefficient set, and read the merged complementary color coefficient shared by the pixel unit; Based on the independent corrected primary color coefficient and the shared merged complementary color coefficient of the sub-pixel, a real-time correction matrix for the sub-pixel to be corrected is constructed. The input signal vector of the sub-pixel to be corrected is multiplied by the constructed real-time correction matrix to obtain the corrected output signal vector.

[0052] This step describes how the receiving card, while the display screen is functioning normally, uses a stored, compressed set of optimized correction coefficients to quickly and accurately perform point-by-point correction on the input video data. The entire process is completed in real-time in hardware logic (such as an FPGA or dedicated ASIC), and specifically includes the following sub-steps: 1. Coefficient reading: When a specific pixel unit needs to be processed, the driver processing unit of the receiving card first locates and reads the set of optimized correction coefficients corresponding to that unit from the memory.

[0053] Reading Independent Primary Color Coefficients: For the j-th sub-pixel to be corrected within this unit, the system precisely reads the three independent correction primary color coefficients belonging to that sub-pixel from the "Independent Primary Color Coefficient Block" of the coefficient set, according to a predetermined data structure (such as by sub-pixel index offset). For example, for sub-pixel j, its dedicated red primary color coefficient Rrj, green primary color coefficient Ggj, and blue primary color coefficient Bbj are read.

[0054] Read shared complementary color coefficients: Simultaneously, from the "shared complementary color coefficient block" of the coefficient set, read all six shared complementary color coefficients (Rg) common to all sub-pixels of this pixel unit at once. merge ,Rb merge Gr merge ,Gb merge ,Br merge Bg merge .

[0055] After reading the coefficients, the driving processing unit dynamically constructs a 3x3 real-time correction matrix dedicated to the current sub-pixel j internally (e.g., in a register or cache), placing the three independent primary color coefficients of sub-pixel j on the main diagonal of this matrix. The six merged complementary color coefficients shared by this pixel unit are then filled into the corresponding positions on the non-main diagonal of the matrix.

[0056] The completed matrix takes the following form:

[0057] Finally, the actual correction transformation is performed. The system obtains the original input RGB signal of the current sub-pixel j, which is typically represented as a 3x1 column vector.

[0058] The input vector is multiplied by the real-time correction matrix constructed in the previous step, and the resulting output vector is the final driving signal after high-precision point-by-point correction. This signal is then sent to the corresponding LED constant current driver chip to precisely control the luminance and chromaticity of sub-pixel j, thereby eliminating non-uniformity and matching the target display effect.

[0059] This workflow clearly demonstrates how to efficiently recover and apply a complete correction transformation from compressed, optimized data. By dynamically constructing a correction matrix that combines individual and common characteristics within the real-time drive chain, it ensures the independence of brightness adjustment for each pixel (a key guarantee of image quality) while significantly reducing data storage and transmission load through shared complementary color coefficients, perfectly achieving a balance between high bandwidth and high image quality. The entire correction process is computationally efficient (requiring only one matrix multiplication), making it highly suitable for hardware parallelization and meeting the high-performance requirements of real-time display refresh rates.

[0060] As a further optional embodiment, after the step of performing real-time correction on the input signal of each sub-pixel within the pixel unit according to the optimized correction coefficient set, the method further includes: Monitor the operating status parameters of the pixel unit; Based on the monitoring results, at least some of the coefficients in the optimized correction coefficient set are adjusted.

[0061] In this embodiment, this step aims to continuously or periodically acquire key parameters that reflect the current performance state of the pixel unit. These operating state parameters are characteristics or causes of potential drift in driving characteristics, and their monitoring can be achieved through direct measurement or indirect estimation.

[0062] Types of monitoring parameters: Typical operating status parameters include, but are not limited to: Operating temperature: The approximate ambient temperature or substrate temperature of the area where the pixel unit is located is directly measured using a temperature sensor installed on the display module or receiver card. Temperature is a major factor affecting LED luminous efficiency and wavelength (chromaticity).

[0063] Cumulative operating time: The cumulative power-on time of the pixel unit or the entire display screen is recorded via a timer on the receiving card or host computer system. Operating time is correlated with LED light decay (brightness reduction) and color drift.

[0064] Current / voltage parameters: Monitor the typical operating current or voltage driving the LED. Abnormal changes may reflect changes in the state of the LED or the driving circuit.

[0065] Optical feedback signal (optional advanced solution): The decay trend of pixel unit brightness is obtained by acquiring data through a built-in photosensor or a periodic simple camera.

[0066] When to perform monitoring: Monitoring can be triggered at fixed time intervals (e.g., every 1 hour of operation), each time the display is powered on, or when an ambient temperature change is detected to exceed a certain threshold.

[0067] This step is the core of adaptive correction. It intelligently fine-tunes the stored correction coefficients based on the monitored state changes to compensate for performance drift.

[0068] Decision-making and strategy formulation: The system compares the currently monitored operating status parameters with preset reference conditions (such as temperature at the time of initial calibration, zero operating time), or inputs them into a preset drift prediction model. Based on the comparison results or model output, the system decides whether to adjust the coefficients, which coefficients to adjust, and the approximate direction and magnitude of the adjustment. For example: If a significant increase in temperature is detected, the model may indicate that all coefficients (especially temperature-sensitive complementary coefficients) need to be fine-tuned to compensate for the color temperature shift.

[0069] If the cumulative working time is long, the model may indicate that all primary color coefficients need to be increased proportionally to counteract the luminance decay.

[0070] Adjustments can be made to all or some of the coefficients in the optimized correction coefficient set. In a preferred strategy, shared complementary color coefficients, being fewer in number and potentially more sensitive to temperature, can be prioritized for adjustment, resulting in higher efficiency. Another strategy is to differentiate between independent primary color coefficients and shared complementary color coefficients based on their different physical aging models.

[0071] Adjustments typically involve applying an offset (Delta) or multiplying the original coefficient value by a correction factor (Gain). The offset or correction factor is determined by the aforementioned decision-making process and can be derived from a pre-defined lookup table (LUT) associated with the state parameters, or calculated in real time using a lightweight formula.

[0072] After the adjustment calculation is completed, an updated set of optimized correction coefficients is generated. The receiving card can directly replace the original coefficient set with this new set and store it in non-volatile memory, or it can be used as a temporary correction only for the current working cycle (e.g., until the next power-off). In this way, the correction system forms a closed loop of "monitoring-analysis-adjustment," enabling the display screen to maintain its factory-set uniformity and color accuracy over a long period of time.

[0073] This invention upgrades the static high-precision calibration scheme of the present invention into a dynamic intelligent system with long-term self-maintenance capabilities. By introducing a working status monitoring and coefficient adaptive adjustment mechanism, it effectively compensates for the inevitable aging of LED devices and environmental impacts, greatly extending the life cycle of the display screen's high-quality display, reducing the need for subsequent maintenance and calibration, and improving product reliability and user experience value. This expansion enhances the technological advancement and market competitiveness of the original solution.

[0074] As a further optional embodiment, the step of adjusting at least some coefficients in the optimized correction coefficient set based on the monitoring results specifically includes: Based on the operating state parameters, an adjustment strategy for the optimized correction coefficient set is determined; According to the adjustment strategy, at least some coefficients in the optimized correction coefficient set are adjusted to generate an updated optimized correction coefficient set.

[0075] This embodiment aims to achieve dynamic updating of the correction coefficients. The specific process consists of two steps: First, the adjustment strategy is determined. Based on monitored operating status parameters such as operating temperature and cumulative duration, the system determines which coefficients need to be adjusted and the specific values ​​or proportions to be adjusted by querying a preset "parameter-adjustment amount" correspondence table or inputting it into a predetermined parameter drift calculation model. For example, when the temperature rises, the strategy might be to "increase a specific offset value in all shared merged complementary color coefficients".

[0076] Then, the system adjusts and updates the coefficient set. Based on the strategy determined in the previous step, the system performs corresponding mathematical operations on the coefficients specified in the optimized correction coefficient set (such as adding an offset or multiplying by a scaling factor). After the operation is complete, an updated optimized correction coefficient set is generated. This new coefficient set is then written back to the receiver card's storage unit to replace or supplement the original coefficients, enabling more accurate real-time correction in subsequent display drivers and thus continuously maintaining excellent display performance.

[0077] The point-to-point calibration device for LED displays provided by the present invention will be described below, such as... Figure 2 As shown, the point-to-point calibration device for LED displays described below and the point-to-point calibration method for LED displays described above can be referred to in correspondence.

[0078] A point-to-point calibration device for an LED display screen includes: The data acquisition module 210 is used to acquire the correction coefficient matrix of each sub-pixel in the pixel unit to be corrected; the correction coefficient matrix includes the correction primary color coefficient used to adjust the brightness of each color channel and the correction complementary color coefficient used to correct color crosstalk between channels. The coefficient merging module 220 is used to merge the same type of correction complementary color coefficients for all sub-pixels in the pixel unit to generate merged complementary color coefficients that are shared by all sub-pixels in the pixel unit. The coefficient optimization module 230 is used to construct an optimized correction coefficient set for the pixel unit based on the independent correction primary color coefficients of all sub-pixels and the merged complementary color coefficients shared by the sub-pixels. The signal correction module 240 is used to perform real-time correction on the input signal of each sub-pixel in the pixel unit according to the optimized correction coefficient set.

[0079] Figure 3 An example is a schematic diagram of the physical structure of an electronic device, such as... Figure 3 As shown, the electronic device may include: a processor 310, a communication interface 320, a memory 330, and a communication bus 340, wherein the processor 310, the communication interface 320, and the memory 330 communicate with each other via the communication bus 340. The processor 310 can call logic instructions in the memory 330 to execute a point-to-point calibration method for the LED display screen, the method including: Obtain the correction coefficient matrix of each sub-pixel within the pixel unit to be corrected; the correction coefficient matrix includes the correction primary color coefficient for adjusting the brightness of each color channel and the correction complementary color coefficient for correcting color crosstalk between channels; For all sub-pixels within the pixel unit, the same type of correction complementary color coefficients are merged to generate a merged complementary color coefficient that is shared by all sub-pixels within the pixel unit. An optimized set of correction coefficients for the pixel unit is constructed based on the independent correction primary color coefficients of all sub-pixels and the merged complementary color coefficients shared by the sub-pixels. The input signal of each sub-pixel within the pixel unit is corrected in real time according to the optimized correction coefficient set.

[0080] Furthermore, the logical instructions in the aforementioned memory 330 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, essentially, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0081] On the other hand, the present invention also provides a computer program product, the computer program product comprising a computer program that can be stored on a non-transitory computer-readable storage medium, wherein when the computer program is executed by a processor, the computer is able to execute the point-to-point calibration method for an LED display screen provided by the above methods, the method comprising: Obtain the correction coefficient matrix of each sub-pixel within the pixel unit to be corrected; the correction coefficient matrix includes the correction primary color coefficient for adjusting the brightness of each color channel and the correction complementary color coefficient for correcting color crosstalk between channels; For all sub-pixels within the pixel unit, the same type of correction complementary color coefficients are merged to generate a merged complementary color coefficient that is shared by all sub-pixels within the pixel unit. An optimized set of correction coefficients for the pixel unit is constructed based on the independent correction primary color coefficients of all sub-pixels and the merged complementary color coefficients shared by the sub-pixels. The input signal of each sub-pixel within the pixel unit is corrected in real time according to the optimized correction coefficient set.

[0082] In another aspect, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the point-to-point calibration method for an LED display screen provided by the methods described above, the method comprising: Obtain the correction coefficient matrix of each sub-pixel within the pixel unit to be corrected; the correction coefficient matrix includes the correction primary color coefficient for adjusting the brightness of each color channel and the correction complementary color coefficient for correcting color crosstalk between channels; For all sub-pixels within the pixel unit, the same type of correction complementary color coefficients are merged to generate a merged complementary color coefficient that is shared by all sub-pixels within the pixel unit. An optimized set of correction coefficients for the pixel unit is constructed based on the independent correction primary color coefficients of all sub-pixels and the merged complementary color coefficients shared by the sub-pixels. The input signal of each sub-pixel within the pixel unit is corrected in real time according to the optimized correction coefficient set.

[0083] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0084] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0085] 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 of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A point-by-point calibration method for an LED display screen, characterized in that, include: Obtain the correction coefficient matrix of each sub-pixel within the pixel unit to be corrected; the correction coefficient matrix includes the correction primary color coefficient for adjusting the brightness of each color channel and the correction complementary color coefficient for correcting color crosstalk between channels; For all sub-pixels within the pixel unit, the same type of correction complementary color coefficients are merged to generate a merged complementary color coefficient that is shared by all sub-pixels within the pixel unit. An optimized set of correction coefficients for the pixel unit is constructed based on the independent correction primary color coefficients of all sub-pixels and the merged complementary color coefficients shared by the sub-pixels. The input signal of each sub-pixel within the pixel unit is corrected in real time according to the optimized correction coefficient set.

2. The point-to-point calibration method for an LED display screen according to claim 1, characterized in that, The step of obtaining the correction coefficient matrix of each sub-pixel within the pixel unit to be corrected specifically includes: Collect the luminescence data of each sub-pixel within the pixel unit; Based on the luminescence data, the original tristimulus value matrix of each sub-pixel is calculated; Based on the preset target display effect, determine the target tristimulus value matrix; For each sub-pixel, matrix operations are performed between the inverse of the corresponding original tristimulus value matrix and the target tristimulus value matrix to obtain the original correction coefficient matrix of that sub-pixel.

3. The point-to-point calibration method for an LED display screen according to claim 1, characterized in that, The step of merging similar correction complementary color coefficients for all sub-pixels within the pixel unit to generate merged complementary color coefficients shared by all sub-pixels within the pixel unit specifically includes: For each type of complementary color coefficient in the original correction coefficient matrix, obtain the set of values ​​for the corresponding type of complementary color coefficient for all sub-pixels within the pixel unit; Based on the set of values, the corresponding complementary color coefficients for this class are generated through merging calculations. The merged complementary color coefficient will be used as a shared coefficient for all sub-pixels within the pixel unit during real-time correction.

4. The point-to-point calibration method for an LED display screen according to claim 3, characterized in that, The combined complementary color coefficient C merge Calculated using the following formula: in, M The total number of sub-pixels within the pixel unit. C i For the first i The type of correction complementary color coefficient for each sub-pixel.

5. The point-to-point calibration method for an LED display screen according to claim 1, characterized in that, The step of real-time correction of the input signal of each sub-pixel within the pixel unit based on the optimized correction coefficient set specifically includes: For any sub-pixel to be corrected within the pixel unit, read the independent primary color coefficient of the sub-pixel from the optimized correction coefficient set, and read the merged complementary color coefficient shared by the pixel unit; Based on the independent corrected primary color coefficient and the shared merged complementary color coefficient of the sub-pixel, a real-time correction matrix for the sub-pixel to be corrected is constructed. The input signal vector of the sub-pixel to be corrected is multiplied by the constructed real-time correction matrix to obtain the corrected output signal vector.

6. The point-to-point calibration method for an LED display screen according to claim 1, characterized in that, After the step of performing real-time correction on the input signal of each sub-pixel within the pixel unit according to the optimized correction coefficient set, the method further includes: Monitor the operating status parameters of the pixel unit; Based on the monitoring results, at least some of the coefficients in the optimized correction coefficient set are adjusted.

7. The point-to-point calibration method for an LED display screen according to claim 6, characterized in that, The step of adjusting at least some coefficients in the optimized correction coefficient set based on monitoring results specifically includes: Based on the operating state parameters, an adjustment strategy for the optimized correction coefficient set is determined; According to the adjustment strategy, at least some coefficients in the optimized correction coefficient set are adjusted to generate an updated optimized correction coefficient set.

8. A point-to-point calibration device for an LED display screen, characterized in that, include: The data acquisition module is used to acquire the correction coefficient matrix of each sub-pixel within the pixel unit to be corrected; the correction coefficient matrix includes the correction primary color coefficient used to adjust the brightness of each color channel and the correction complementary color coefficient used to correct color crosstalk between channels; The coefficient merging module is used to merge the same type of correction complementary color coefficients for all sub-pixels within the pixel unit to generate merged complementary color coefficients that are shared by all sub-pixels within the pixel unit. The coefficient optimization module is used to construct an optimized correction coefficient set for the pixel unit based on the independent correction primary color coefficients of all sub-pixels and the merged complementary color coefficients shared by the sub-pixels. The signal correction module is used to perform real-time correction on the input signal of each sub-pixel within the pixel unit according to the optimized correction coefficient set.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the point-to-point calibration method for the LED display screen as described in any one of claims 1 to 7.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the point-to-point calibration method for the LED display screen as described in any one of claims 1 to 7.

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