Compensation algorithm and implementation method for pixel uniformity of LED display screen

Abstract

The application relates to the technical field of LED display screens and discloses an LED display screen pixel uniformity compensation algorithm and an implementation method, wherein the method comprises the following steps: collecting photoelectric response data of a target pixel and horizontally and vertically adjacent pixels of the target pixel in an LED display screen; performing chromatic aberration deviation analysis on the target pixel based on the photoelectric response data to obtain a pixel difference value; selecting a pulse modulation mode based on the pixel difference value, and driving and controlling the target pixel through a pulse hybrid modulation circuit according to the pulse modulation mode; and the pulse modulation mode is a PAM modulation mode or a PWM modulation mode. The method intelligently selects a PAM or PWM mode according to the pixel deviation degree by using a pulse hybrid modulation driving technology, effectively solves technical problems under different compensation requirements, and ensures the response speed and control precision of LED display screen pixel uniformity compensation.

Description

Technical Field

[0001] This invention relates to the field of LED display technology, and in particular to an algorithm and implementation method for pixel uniformity compensation in LED displays. Background Technology

[0002] During the manufacturing process of traditional LED displays, differences in LED chip characteristics, packaging process deviations, and inconsistent driving circuits lead to variations in brightness and color between different pixels, resulting in uneven display and severely impacting visual experience and display quality. Existing pixel uniformity compensation technologies employ a single-point measurement method, measuring the photoelectric characteristics of each pixel individually and compensating for them independently. This method ignores interactions such as optical crosstalk, electromagnetic interference, and thermal coupling between adjacent pixels, making it difficult to simultaneously meet the compensation needs of pixels with varying degrees of deviation. It is prone to flickering in low grayscale displays and consumes a lot of power during large-scale compensation. Summary of the Invention

[0003] This invention provides an algorithm and implementation method for pixel uniformity compensation of LED displays. The invention uses pulse hybrid modulation driving technology to intelligently select PAM or PWM mode according to the degree of pixel deviation, which effectively solves the technical problems under different compensation requirements and ensures the response speed and control accuracy of pixel uniformity compensation of LED displays.

[0004] In a first aspect, the present invention provides an algorithm and method for compensating pixel uniformity in an LED display screen, the algorithm and method comprising:

[0005] Collect photoelectric response data of the target pixel and its horizontally and vertically adjacent pixels in the LED display screen;

[0006] Based on the photoelectric response data, a color difference deviation analysis is performed on the target pixel to obtain the pixel difference value;

[0007] The pulse modulation mode is selected based on the pixel difference value, and the driving control is performed according to the pulse modulation mode through the pulse hybrid modulation circuit. The pulse modulation mode is either PAM modulation mode or PWM modulation mode.

[0008] In conjunction with the first aspect, in a first implementation of the first aspect of the present invention, the step of collecting photoelectric response data of the target pixel and its horizontally and vertically adjacent pixels in the LED display screen includes:

[0009] Activate the dual-line extended measurement circuit and construct a measurement channel through the dual-line extended measurement circuit;

[0010] The measurement channel simultaneously acquires the brightness and chromaticity information of the target pixel and its horizontally and vertically adjacent pixels in the LED display screen to obtain a dual-line extended measurement matrix.

[0011] Extract the photoelectric response data of the target pixel and its horizontally and vertically adjacent pixels from the dual-line extended measurement matrix.

[0012] In conjunction with the first aspect, in a second implementation of the first aspect of the present invention, the step of simultaneously acquiring the brightness and chromaticity information of the target pixel and its horizontally and vertically adjacent pixels in the LED display screen through the measurement channel to obtain a dual-line extended measurement matrix includes:

[0013] Set the synchronous sampling period of the measurement channel and start synchronous sampling to obtain a sampling timing sequence that matches the refresh frequency of the LED display screen;

[0014] Based on the sampling timing, the brightness of the target pixel and its horizontal and vertical adjacent pixels in the LED display screen are measured to obtain a brightness data group containing L(i-1,j), L(i,j), L(i+1,j), L(i,j-1), and L(i,j+1), where L represents the pixel brightness value, i represents the pixel row coordinate, and j represents the pixel column coordinate.

[0015] Based on the sampling timing, chromaticity coordinate measurements are performed on the target pixel and its horizontal and vertical adjacent pixels to obtain a chromaticity data set containing C(i-1,j), C(i,j), C(i+1,j), C(i,j-1), and C(i,j+1), where C represents the CIE chromaticity coordinate.

[0016] A bilinear extended measurement matrix is ​​constructed based on the luminance data set and the chromaticity data set.

[0017] In conjunction with the first aspect, in a third implementation of the first aspect of the present invention, the step of performing color difference deviation analysis on the target pixel based on the photoelectric response data to obtain a pixel difference value includes:

[0018] The pixel brightness values ​​of the target pixel and its horizontal and vertical adjacent pixels are extracted from the photoelectric response data, and the deviation between each pixel brightness value and the standard brightness value is calculated to obtain pixel brightness deviation data.

[0019] Distance weight values ​​are assigned to each pixel position in the pixel brightness deviation data, and the pixel brightness deviation data and the distance weight values ​​are multiplied and summed to obtain the weighted deviation sum.

[0020] The pixel spatial influence factor is obtained by normalizing the sum of the weighted deviations divided by the sum of the distance weights.

[0021] The target pixel is subjected to color difference deviation analysis based on the pixel space influence factor to obtain the pixel difference value.

[0022] In conjunction with the first aspect, in a fourth implementation of the first aspect of the present invention, the step of performing color difference deviation analysis on the target pixel based on the pixel spatial influence factor to obtain a pixel difference value includes:

[0023] The pixel space influence factor is coupled with the measured brightness value of the target pixel to obtain the corrected brightness value.

[0024] Perform CIE Lab color space conversion on the corrected brightness value and its corresponding chromaticity coordinates to obtain the target pixel Lab data;

[0025] Calculate the brightness difference, red-green difference, and yellow-blue difference between the target pixel Lab data and the standard target Lab data, and perform a square root operation on the brightness difference, the red-green difference, and the yellow-blue difference to obtain the basic color difference value;

[0026] Based on the frequency parameters of the LED display screen, the basic color difference value is modulated and transmitted to obtain the pixel difference value.

[0027] In conjunction with the first aspect, in a fifth implementation of the first aspect of the present invention, the step of performing modulation and transmission operations on the basic color difference value based on the frequency parameters of the LED display screen to obtain the pixel difference value includes:

[0028] Frequency parameters are extracted from the pixel array of the LED display screen, including horizontal spatial frequency and vertical spatial frequency;

[0029] Calculate the horizontal and vertical Nyquist frequencies of the LED display screen;

[0030] Perform a sinc function operation on the horizontal spatial frequency and the horizontal Nyquist frequency to obtain the horizontal sinc function result, and perform a sinc function operation on the vertical spatial frequency and the vertical Nyquist frequency to obtain the vertical sinc function result;

[0031] The modulation transfer factor is obtained by multiplying the horizontal sinc function result and the vertical sinc function result.

[0032] The pixel difference value is obtained by performing a product operation on the basic color difference value based on the modulation transfer factor.

[0033] In conjunction with the first aspect, in a sixth implementation of the first aspect of the present invention, the step of selecting a pulse modulation mode based on the pixel difference value and driving control according to the pulse modulation mode through a pulse hybrid modulation circuit, wherein the pulse modulation mode is a PAM modulation mode or a PWM modulation mode, includes:

[0034] The pixel difference value is compared with a preset modulation mode boundary threshold;

[0035] When the pixel difference value exceeds the modulation mode boundary threshold, the pulse modulation mode is selected as PAM modulation mode; when the pixel difference value does not exceed the modulation mode boundary threshold, the pulse modulation mode is selected as PWM modulation mode.

[0036] The corresponding compensation coefficient is generated according to the pulse modulation mode, and the compensation coefficient is input into the pulse mixing modulation circuit for driving control.

[0037] In conjunction with the first aspect, in the seventh implementation of the first aspect of the present invention, the step of generating a corresponding compensation coefficient according to the pulse modulation mode and inputting the compensation coefficient into the pulse mixing modulation circuit for driving control includes:

[0038] When the pulse modulation mode is PAM modulation mode, the ratio of the target brightness value and the measured brightness value is calculated and multiplied with the pixel space influence factor to obtain the compensation coefficient, which is the PAM mode compensation coefficient.

[0039] When the pulse modulation mode is PWM modulation mode, a product operation is performed based on the reference pulse width and the PAM mode compensation coefficient to obtain the compensation coefficient as the PWM mode compensation pulse width.

[0040] The temperature compensation factor is calculated based on the operating temperature of the LED display screen, and the aging attenuation compensation factor is calculated based on the cumulative usage time of the LED display screen.

[0041] The compensation coefficient is multiplied by the temperature compensation factor and the aging attenuation compensation factor to generate driving parameters, and the driving parameters are input into the pulse mixing modulation circuit to control the luminous intensity of the target pixel.

[0042] In conjunction with the first aspect, in the eighth implementation of the first aspect of the present invention, the step of calculating a temperature compensation factor based on the operating temperature of the LED display screen and calculating an aging degradation compensation factor based on the cumulative usage time of the LED display screen includes:

[0043] Collect chip temperature data from the LED display screen, and calculate the temperature compensation factor by performing a linear difference calculation between the chip temperature data and the standard operating temperature.

[0044] Extract the cumulative usage time data from the LED display screen's operation record, and multiply the cumulative usage time data with the aging decay constant to obtain the aging decay parameter;

[0045] An exponential function is performed based on the aging degradation parameters to obtain the aging degradation compensation factor.

[0046] In conjunction with the first aspect, in a ninth implementation of the first aspect of the present invention, the step of performing a product operation on the compensation coefficient, the temperature compensation factor, and the aging attenuation compensation factor to generate driving parameters, and inputting the driving parameters into a pulse mixing modulation circuit to control the luminous intensity of the target pixel, includes:

[0047] The compensation coefficient is multiplied term by term with the temperature compensation factor and the aging attenuation compensation factor to obtain the target calculation result.

[0048] When the pulse modulation mode is PAM modulation mode, the driving parameter is calculated as the driving current amplitude parameter based on the target calculation result; when the pulse modulation mode is PWM modulation mode, the driving parameter is calculated as the pulse width parameter based on the target calculation result.

[0049] The driving parameters are input to the pulse mixing modulation circuit for signal modulation to obtain the corresponding PAM current driving signal or PWM pulse width driving signal.

[0050] The target pixel is subjected to luminous intensity control based on the PAM current drive signal or the PWM pulse width drive signal to obtain the compensation control result.

[0051] The technical solution provided by this invention achieves simultaneous acquisition of the photoelectric characteristics of the target pixel and its adjacent pixels through dual-line extended synchronous measurement technology, accurately capturing the optical crosstalk and electromagnetic coupling relationships between pixels. Based on this, a pixel spatial influence factor model quantifies the actual influence of adjacent pixels on the target pixel. Pulse hybrid modulation driving technology intelligently selects either PAM or PWM mode according to the pixel deviation degree. The PAM mode specifically handles large deviation compensation needs, while the PWM mode is designed for fine adjustment scenarios, effectively solving the technical problem that a single modulation method cannot simultaneously meet different compensation requirements. The temperature and aging dynamic compensation mechanism introduced in this invention ensures the response speed and control accuracy of pixel uniformity compensation for the LED display screen by real-time monitoring of the LED chip's operating status and automatic adjustment of compensation parameters.

[0052] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention are realized and obtained in accordance with the structures particularly pointed out in the description, claims and drawings.

[0053] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0054] Figure 1 This is a schematic diagram of an embodiment of the LED display pixel uniformity compensation algorithm and implementation method in this invention. Detailed Implementation

[0055] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions 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, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0056] The terms "comprising" and "having," and any variations thereof, used in the embodiments of this invention are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units is not limited to the steps or units listed, but may optionally include other steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or devices.

[0057] To facilitate understanding of this embodiment, a detailed description of the LED display pixel uniformity compensation algorithm and implementation method disclosed in this embodiment of the invention will be provided first. For example... Figure 1 As shown, this method includes the following steps:

[0058] 101. Collect photoelectric response data of the target pixel and its horizontally and vertically adjacent pixels in the LED display screen;

[0059] Specifically, a dual-line extended measurement circuit consisting of 11 n-type IGZO transistors is activated. The measurement circuit establishes multi-channel measurement paths in the horizontal and vertical directions through its circuit topology. The central transistor corresponds to the target pixel, and the transistors above, below, to the left, and to the right correspond to the acquisition units of the horizontally and vertically adjacent pixels. Multi-channel timing sampling is achieved through gate control, and a measurement channel network is constructed under synchronous excitation by the controller. The measurement channels synchronously acquire brightness and chromaticity information, including the target pixel and its horizontally and vertically adjacent pixels, under the actual operating state of the LED display. Brightness data is converted using a high-resolution ADC and averaged three times, with accuracy controlled within ±0.5%. Chromaticity information is acquired based on the x and y coordinate values ​​of the pixels using the CIE1931 color space model. All acquired data is organized into a structured dual-line extended measurement matrix, where the central element of the matrix corresponds to the target pixel, and its four orthogonally adjacent elements correspond to the photoelectric response data of the horizontally and vertically adjacent pixels. In the dual-line extended measurement matrix, the brightness L(i,j) and chromaticity C(i,j)=[x(i,j), y(i,j)] response values ​​of the target pixel and its four adjacent pixels in the four directions are extracted at a specific sampling time through index positioning and matrix slicing operations.

[0060] 102. Based on photoelectric response data, perform color difference deviation analysis on the target pixels to obtain pixel difference values;

[0061] Specifically, the brightness values ​​of the target pixel and its horizontally and vertically adjacent pixels are extracted from the dual-line extended measurement matrix. A local brightness subset including the target pixel and its four adjacent pixels (top, bottom, left, and right) is established. The deviation of the brightness value of each pixel in the local brightness subset from the preset standard brightness value is calculated to obtain the pixel brightness deviation at the corresponding position. The brightness deviation data is fused with the spatial relationship between pixels. A distance weight value based on physical distance and optical crosstalk intensity is assigned to each pixel position, with the target pixel given the highest weight, its horizontally and vertically adjacent pixels given medium weight, and pixels at more distant positions given lower weight, to construct a weight distribution model reflecting the spatial coupling effect. The brightness deviation value of each pixel is multiplied by the corresponding distance weight value, and all products are summed to obtain the weighted deviation sum. The weighted deviation sum is divided by the sum of all distance weight values ​​involved in the calculation to normalize the weighted deviation, obtaining a pixel spatial influence factor used to quantify the degree of interference of surrounding pixels on the display state of the target pixel, reflecting the brightness disturbance intensity of the local area where the current pixel is located. Based on the pixel spatial influence factor, color difference deviation analysis is performed on the target pixel. On the basis of the traditional color difference evaluation model, spatial coupling correction logic is introduced to adjust the brightness and color response weights of the target pixel to obtain the pixel difference value that reflects the actual visual error.

[0062] 103. Select the pulse modulation mode based on the pixel difference value, and drive and control it according to the pulse modulation mode through the pulse hybrid modulation circuit. The pulse modulation mode is either PAM modulation mode or PWM modulation mode.

[0063] Specifically, the pixel difference value is compared with a preset modulation mode boundary threshold. This threshold serves as the critical condition for modulation mode switching and is determined based on the human eye's sensitivity to color difference and the requirements for drive response stability. When the detected difference value of the target pixel exceeds the boundary threshold, it is determined that the pixel has a large display deviation in the current state. Compensation control is performed using pulse amplitude modulation (PAM) mode. In this mode, the drive current amplitude is dynamically adjusted according to the degree of difference to quickly correct the brightness deviation. When the difference value does not exceed the boundary threshold, it indicates that the brightness and color performance of the target pixel are close to the standard value, making it suitable for fine adjustment using pulse width modulation (PWM) mode. In this case, the drive current amplitude remains constant, and the pulse width is adjusted to achieve slight brightness correction, avoiding large power consumption fluctuations or low grayscale flicker. A corresponding compensation coefficient is generated based on the selected modulation mode. In PAM mode, a current compensation coefficient reflecting the current gain is generated; in PWM mode, a pulse width compensation coefficient multiplied by the reference pulse width is generated. Simultaneously, considering the effects of chip temperature and aging, a temperature correction factor and a dynamic response factor are introduced for correction, ensuring that the compensation coefficient has stable and effective response characteristics under different operating conditions. The compensation coefficient is input into the pulse hybrid modulation circuit. The pulse hybrid modulation circuit automatically configures the drive path according to the current modulation mode identification logic. In PAM mode, it outputs a pulse current signal of corresponding amplitude, and in PWM mode, it generates a fixed amplitude pulse signal of corresponding width.

[0064] In one specific embodiment, the process of performing step 101 may specifically include the following steps:

[0065] Activate the dual-line extended measurement circuit and construct a measurement channel through the dual-line extended measurement circuit;

[0066] The brightness and chromaticity information of the target pixel and its horizontal and vertical adjacent pixels in the LED display screen are acquired simultaneously through the measurement channel to obtain the dual-line extended measurement matrix;

[0067] Extract the photoelectric response data of the target pixel and its horizontally and vertically adjacent pixels in the double-line extended measurement matrix.

[0068] Specifically, a dual-line extended measurement circuit is configured and activated in the LED display screen. This circuit consists of 11 n-type IGZO transistors, distributed as follows: one central pixel unit, four horizontal and four vertical adjacent pixel measurement units, and four diagonal auxiliary units. Each IGZO transistor has a fixed gate width-to-length ratio of 120 micrometers to 6 micrometers, and its threshold voltage is controlled within a tolerance range of 0.1 volts above and below 1.2 volts to ensure controllability and consistency of its conduction performance. Four capacitors storing compensation parameters are deployed to maintain dynamic parameters such as temperature, aging, and current modulation. Each capacitor has a capacitance of 100 picofarads and a leakage current not exceeding 1 femtoampere to achieve high-fidelity electrical parameter retention. After initialization by the timing control unit, the dual-line extended measurement circuit simultaneously establishes parallel sampling measurement channels in the vertical and horizontal directions. These measurement channels extend to adjacent pixels in four directions (up, down, left, and right) with the central pixel as the reference point. The system employs a 3x3 local measurement array with nine nodes. A synchronous excitation signal triggers all measurement nodes to perform parallel measurements of the brightness and chromaticity of each pixel within the same sampling period. Brightness information is digitally sampled using a high-precision analog-to-digital converter with a sampling accuracy of 0.01 candela per square meter. Each pixel's data is sampled three times and averaged to compress measurement errors introduced by system noise. Chromaticity information is based on the CIE 1931 standard color space, recording both x and y chromaticity coordinate components to reflect the pixel's color output deviation characteristics. After each measurement period, the brightness and chromaticity information collected from the nine pixel nodes are organized into a two-dimensional matrix, forming a double-line extended measurement matrix. The center of the matrix corresponds to the target pixel, and its upper, lower, left, and right matrix units represent the photoelectric response values ​​of its adjacent pixels in the horizontal and vertical directions, respectively. The diagonal units serve as auxiliary analysis reference areas. Based on the preset position mapping relationship of the dual-line extended measurement matrix, the brightness values ​​and chromaticity coordinates of the four adjacent pixels (up, down, left, and right) that have a direct coupling relationship with the target pixel and the target pixel itself are extracted to obtain the photoelectric response data of the local area.

[0069] In one specific embodiment, the process of simultaneously acquiring the brightness and chromaticity information of the target pixel and its horizontally and vertically adjacent pixels in the LED display screen through the measurement channel to obtain the dual-line extended measurement matrix can specifically include the following steps:

[0070] Set the synchronous sampling period of the measurement channel and start synchronous sampling to obtain the sampling timing that matches the refresh frequency of the LED display screen;

[0071] Based on the sampling timing, the brightness of the target pixel and its horizontal and vertical adjacent pixels in the LED display screen are measured to obtain a brightness data group containing L(i-1,j), L(i,j), L(i+1,j), L(i,j-1), and L(i,j+1), where L represents the pixel brightness value, i represents the pixel row coordinate, and j represents the pixel column coordinate.

[0072] Based on the sampling time sequence, chromaticity coordinates are measured on the target pixel and its horizontal and vertical adjacent pixels to obtain a chromaticity data set containing C(i-1,j), C(i,j), C(i+1,j), C(i,j-1), and C(i,j+1), where C represents the CIE chromaticity coordinates;

[0073] A bilinear extended measurement matrix is ​​constructed based on the luminance data set and the chrominance data set.

[0074] Specifically, the system control module sets the synchronous sampling period of the measurement channel, aligning it with the refresh period of the LED display. For example, setting the synchronous sampling period to 16.67 milliseconds, consistent with a 60 Hz refresh rate, activates the dual-line extended measurement circuit under the guidance of the clock synchronization signal. This ensures that the target pixel and its five adjacent pixels (up, down, left, and right) simultaneously enter the active state and initiate parallel measurement tasks within the same time window. Based on the synchronous sampling timing, the embedded high-precision analog-to-digital converter sample the brightness of the target pixel and its horizontally and vertically adjacent pixels in the LED display. The brightness response of each pixel within the current refresh period is sequentially acquired and labeled as L(i-1,j), L(i,j), L(i+1,j), L(i,j-1), and L(i,j+1), where L represents the brightness value, i is the row coordinate, and j is the column coordinate. During the sampling process, each pixel node is sampled three times, and the average value is calculated to eliminate errors caused by circuit noise and instantaneous disturbances. After completing luminance sampling, chromaticity coordinate sampling is performed on the same group of pixels according to the synchronization timing. The sampling process simultaneously acquires the x and y chromaticity components of each pixel according to the CIE 1931 color space standard, and labels them as C(i-1,j), C(i,j), C(i+1,j), C(i,j-1), and C(i,j+1), respectively, where C represents the chromaticity coordinate vector. By sampling the spectral response of the emitted color of each pixel under the actual driving current and converting it into chromaticity coordinates, the color reproduction characteristics of the current pixel in the display state are reflected. Based on a preset data structure template, the five luminance values ​​and five chromaticity coordinates are assembled into a dual-line extended measurement matrix. The matrix is ​​centered on the target pixel, with its four adjacent pixels in the four directions (up, down, left, and right) as auxiliary elements, forming a cross-shaped layout in space where one-dimensional horizontal lines and one-dimensional vertical lines intersect. This achieves complete modeling of the dominant coupled pixels within the local area where the target pixel is located.

[0075] In one specific embodiment, the process of performing step 102 may specifically include the following steps:

[0076] The pixel brightness values ​​of the target pixel and its horizontal and vertical adjacent pixels are extracted from the photoelectric response data, and the deviation between each pixel brightness value and the standard brightness value is calculated to obtain pixel brightness deviation data.

[0077] Distance weight values ​​are assigned to each pixel position in the pixel brightness deviation data, and the pixel brightness deviation data and distance weight values ​​are multiplied and summed to obtain the weighted deviation sum.

[0078] The pixel spatial influence factor is obtained by normalizing the weighted sum of deviations divided by the sum of distance weights.

[0079] Color difference deviation analysis is performed on the target pixel based on the pixel space influence factor to obtain the pixel difference value.

[0080] Specifically, the brightness values ​​of the target pixel and its four adjacent pixels in the four directions (up, down, left, and right) are extracted from the photoelectric response data. Each pixel's brightness data is compared with a preset standard brightness value, and the difference is calculated. This numerical value reflects the degree of deviation of each pixel from the ideal state under the current driving conditions, forming a pixel brightness deviation dataset. Considering that the coupling effect between the target pixel and its neighboring pixels in spatial location is not consistent, distance weights are assigned to each pixel's brightness deviation data. The target pixel, due to its central location and greatest influence, is given the highest weight. The four adjacent pixels are given relatively high secondary weights based on the physical laws of optical crosstalk and electromagnetic coupling, while pixels at more distant locations are assigned lower weights due to their weaker influence, forming a weighted distribution model with attenuation characteristics. The brightness deviation data of each pixel is multiplied by its corresponding distance weight, and all results are summed to obtain a weighted deviation sum reflecting the deviation of the entire local area. The weighted deviation sum is normalized by dividing it by the sum of all weights to eliminate the absolute magnitude shift caused by the weight allocation differences, yielding the pixel spatial influence factor. The color difference deviation of the target pixel is analyzed based on the pixel space influence factor. This is combined with the color difference value of the target pixel itself to form a comprehensive evaluation of its brightness and color deviation, thus obtaining the pixel difference value.

[0081] The pixel spatial influence factor is obtained by normalizing the sum of weighted deviations divided by the sum of distance weights. This process includes: constructing a deep reinforcement learning environment containing a state space, action space, and reward function; using pixel spatial location and photoelectric characteristics as state inputs, adjusting distance weight values ​​as action outputs, and the degree of improvement in compensation effect as a reward signal to obtain a reinforcement learning training framework; establishing a deep Q-network structure containing convolutional layers, long short-term memory layers, and fully connected layers, and training the network through an experience replay mechanism and a target network update strategy to obtain a deep reinforcement learning agent; inputting the photoelectric response data of the current pixel array into the deep reinforcement learning agent for state evaluation and action decision-making, and continuously optimizing network parameters based on the reward signal from the environment to obtain an adaptive distance weight adjustment strategy; dynamically optimizing the weight allocation of pixel brightness deviation data based on the distance weight adjustment strategy, and adjusting the weight distribution pattern in real time according to the compensation effect through an online learning mechanism to obtain an adaptively optimized distance weight value; performing a weighted calculation on the adaptively optimized distance weight value and pixel brightness deviation data, and eliminating the influence of weight adjustment on the numerical range through an improved normalization algorithm to obtain a pixel spatial influence factor with environmental adaptability.

[0082] In one specific embodiment, the process of performing color difference deviation analysis on the target pixel based on the pixel spatial influence factor to obtain the pixel difference value can specifically include the following steps:

[0083] The pixel space influence factor is coupled with the measured brightness value of the target pixel to obtain the corrected brightness value.

[0084] Perform CIE Lab color space conversion on the corrected luminance value and its corresponding chromaticity coordinates to obtain the target pixel Lab data;

[0085] Calculate the difference in brightness, red-green hue, and yellow-blue hue between the target pixel Lab data and the standard target Lab data, and perform square root operations on the difference in brightness, red-green hue, and yellow-blue hue to obtain the basic color difference value;

[0086] Based on the frequency parameters of the LED display screen, the basic color difference value is modulated and transmitted to obtain the pixel difference value.

[0087] Specifically, the pixel space influence factor is coupled with the measured brightness value of the target pixel to eliminate the bias caused by relying solely on single-point measurements. This allows the brightness value of the target pixel to reflect the spatial interaction and coupling effect of surrounding pixels, resulting in a corrected brightness value that more closely approximates the actual visual effect. The corrected brightness value and the chromaticity coordinates of the target pixel are input into the CIELab color space conversion model to complete the conversion from brightness and chromaticity coordinates to Lab data, resulting in target pixel Lab data containing three components: L*, a*, and b*. Here, L* represents perceived brightness, a* represents the chromaticity component along the red-green axis, and b* represents the chromaticity component along the yellow-blue axis. The target pixel Lab data is compared with standard target Lab data, calculating the difference ΔL* in the brightness direction, Δa* in the red-green direction, and Δb* in the yellow-blue direction. These differences directly reflect the degree of deviation between the target pixel and the ideal pixel in different visual dimensions. The sum of squares and square roots of the brightness difference, red-green difference, and yellow-blue difference are then performed to obtain the basic color difference value. Because LED displays experience dynamic factors such as refresh rate, driving modulation method, and spatial frequency response during actual operation, frequency parameters of the LED display are introduced, and modulation transfer function (MTF) models are used to perform modulation transfer calculations on the basic color difference values. Through modulation transfer calculations, combined with the display's response characteristics under different refresh rates and spatial frequencies, the basic color difference values ​​are corrected to compensate for visual distortion caused by uneven frequency response, thus obtaining pixel difference values.

[0088] In one specific embodiment, the process of performing modulation and transfer operations on the basic color difference values ​​based on the frequency parameters of the LED display screen to obtain pixel difference values ​​can specifically include the following steps:

[0089] Frequency parameters are extracted from the pixel array of the LED display screen. The frequency parameters include the horizontal spatial frequency and the vertical spatial frequency.

[0090] Calculate the horizontal and vertical Nyquist frequencies of the LED display screen;

[0091] Perform the sinc function operation on the horizontal spatial frequency and the horizontal Nyquist frequency to obtain the horizontal sinc function result, and perform the sinc function operation on the vertical spatial frequency and the vertical Nyquist frequency to obtain the vertical sinc function result.

[0092] The modulation transfer factor is obtained by multiplying the results of the horizontal sinc function and the vertical sinc function.

[0093] The pixel difference value is obtained by multiplying the basic color difference value based on the modulation transfer factor.

[0094] Specifically, by combining the pixel spacing and the physical size of the imaging area, spatial frequency information is extracted from the pixel array structure of the LED display. The horizontal spatial frequency reflects the pixel distribution density and optical resolution in the horizontal direction, while the vertical spatial frequency corresponds to the pixel arrangement pattern and display resolution in the vertical direction. These two parameters together determine the level of detail reproduction of the LED display in different directions. The horizontal and vertical Nyquist frequencies of the LED display are calculated. The Nyquist frequency is derived from the sampling theorem, and its physical meaning is the highest resolvable frequency under discrete pixel sampling conditions. Therefore, the horizontal Nyquist frequency is determined by the sampling period of the pixel in the horizontal direction, and the vertical Nyquist frequency is determined by the sampling period of the pixel in the vertical direction. Together, they constitute the effective sampling upper limit in the spatial frequency domain. Substituting the horizontal spatial frequency and the horizontal Nyquist frequency into the sinc function model, the frequency response correction factor in the horizontal direction is obtained through the calculation of the sinc function. Similarly, substituting the vertical spatial frequency and the vertical Nyquist frequency into the same function model yields the frequency response correction factor in the vertical direction. The application of the sinc function can accurately reflect the resolution and energy attenuation characteristics of the display system at different spatial frequencies. The modulation transfer factor is obtained by multiplying the results of the horizontal and vertical sinc functions. This factor contains frequency response information in both the horizontal and vertical directions and is a two-dimensional spatial frequency coupling correction, reflecting the imaging resolution capability of the LED display screen in the two-dimensional frequency domain. Based on the modulation transfer factor, a product correction operation is performed on the basic color difference values. The basic color difference values, which are the sum of the brightness difference, red-green hue difference, and yellow-blue hue difference calculated in the CIE Lab space, are combined with the modulation transfer factor to obtain the pixel difference value.

[0095] In one specific embodiment, the process of performing step 103 may specifically include the following steps:

[0096] Compare the pixel difference values ​​with the preset modulation mode boundary threshold;

[0097] When the pixel difference value exceeds the modulation mode threshold, the pulse modulation mode is selected as PAM modulation mode; when the pixel difference value does not exceed the modulation mode threshold, the pulse modulation mode is selected as PWM modulation mode.

[0098] The corresponding compensation coefficients are generated based on the pulse modulation mode, and then input into the pulse hybrid modulation circuit for drive control.

[0099] Specifically, the preset modulation mode boundary threshold is used as the core reference parameter. The modulation mode boundary threshold is calibrated from multiple dimensions based on factors such as the sensitivity of the human eye to color difference changes, the current adjustment capability of the LED driving system, and the control precision of the overall screen color uniformity. The pixel difference value of the current target pixel is compared with the modulation mode boundary threshold in real time. If the pixel difference value exceeds the modulation mode boundary threshold, it means that the deviation of the current pixel in the dimensions of brightness, chromaticity, or frequency has exceeded the tolerable range. An amplitude modulation strategy is adopted to quickly and significantly compensate the pixel. The PAM modulation mode is selected, which directly adjusts the pixel brightness by increasing or decreasing the driving current amplitude to bring it back to the standard state as soon as possible. When the pixel difference value does not exceed the modulation mode boundary threshold, it means that the color deviation of the current pixel is small and its deviation is within the normal fluctuation range. At this time, there is no need to use a large current intervention modulation method. Instead, the PWM modulation mode is adopted. By maintaining a constant driving current amplitude, only the pulse width is finely adjusted to achieve small-scale, low-energy, and fast-response brightness compensation. After determining the modulation mode, a corresponding compensation coefficient is generated based on the selected mode. When PAM modulation is used, the compensation coefficient represents the current amplification or attenuation factor, and its value is based on the ratio of the target brightness to the actual brightness, taking into account the combined effect of the pixel space influence factor and the dynamic temperature correction factor. When PWM modulation is used, the compensation coefficient reflects the scaling ratio of the reference pulse width, and its value needs to take into account the basic brightness adjustment coefficient and the thermal drift correction coefficient to ensure that the display stability is maintained under high temperature and low grayscale conditions. The selected compensation coefficient is input to the pulse hybrid modulation circuit. The pulse hybrid modulation circuit has two signal generation paths: PAM branch and PWM branch. According to the modulation mode switching logic, the control unit automatically activates the corresponding channel. If it is PAM mode, the current amplifier is activated and the current amplitude output value is set. If it is PWM mode, the pulse generator is controlled to output the drive pulse with the set pulse width. At the same time, the system has a 5-frame gradual switching mechanism to smoothly transition during mode switching and prevent display flickering or discontinuity caused by sudden brightness changes.

[0100] In one specific embodiment, the process of generating corresponding compensation coefficients based on the pulse modulation mode and inputting the compensation coefficients into the pulse hybrid modulation circuit for drive control can specifically include the following steps:

[0101] When the pulse modulation mode is PAM modulation mode, the ratio of the target brightness value and the measured brightness value is calculated and multiplied with the pixel space influence factor to obtain the compensation coefficient, which is the PAM mode compensation coefficient.

[0102] When the pulse modulation mode is PWM modulation mode, the product operation is performed based on the reference pulse width and the PAM mode compensation coefficient to obtain the compensation coefficient as the PWM mode compensation pulse width.

[0103] The temperature compensation factor is calculated based on the operating temperature of the LED display screen, and the aging attenuation compensation factor is calculated based on the cumulative usage time of the LED display screen.

[0104] The compensation coefficient is multiplied by the temperature compensation factor and the aging attenuation compensation factor to generate driving parameters, which are then input into the pulse mixing modulation circuit to control the luminous intensity of the target pixel.

[0105] Specifically, if the current pulse modulation mode is determined to be PAM modulation mode, the target brightness value is used as a benchmark, and a ratio calculation is performed with the measured brightness value to obtain the brightness compensation ratio. This reflects the degree of deviation of the current brightness of the target pixel from the standard state. The brightness ratio is then multiplied with the pixel space influence factor to generate the PAM mode compensation coefficient. If the current modulation mode is determined to be PWM modulation mode, the PAM mode compensation coefficient is used as a basis, and a product operation is performed with the preset benchmark pulse width to obtain the compensation pulse width value in PWM mode. The compensation pulse width value is used to adjust the light emission duration under the condition of fixed drive current amplitude to achieve fine control of pixel brightness. This is suitable for display areas with low grayscale and high requirements for energy consumption and refresh noise control. A correction mechanism is introduced that incorporates both environmental and temporal dimensions. A temperature compensation factor is calculated by detecting the real-time operating temperature of the LED chip. This factor, derived from a model showing the relationship between LED luminous efficiency and temperature, exhibits a slight decreasing trend with increasing temperature. The calculation result is used to correct brightness drift caused by temperature rise. Simultaneously, the display screen's runtime recording module is used to obtain the cumulative usage time of the current pixel. An aging attenuation compensation factor is calculated based on an empirical model. This factor simulates the natural decline in LED luminous efficiency over time, exhibiting an exponential decreasing trend, effectively combating uneven brightness and color shift issues that occur after prolonged pixel operation. The PAM mode compensation coefficient or PWM mode compensation pulse width is continuously multiplied with the temperature and aging attenuation compensation factors to generate multi-dimensional dynamic driving parameters. These parameters are then loaded into the pulse hybrid modulation circuit in real-time within the control path. The pulse hybrid modulation circuit adjusts the driving current amplitude or pulse width according to the modulation mode determination result and injects the current signal into the target pixel. The dynamic adjustment of the driving waveform controls the luminous intensity of the target pixel, achieving a display output effect consistent with standard brightness and color.

[0106] Specifically, when the pulse modulation mode is PAM modulation mode, the ratio of the target brightness value to the measured brightness value is calculated and multiplied by the pixel space influence factor to obtain the compensation coefficient, which is the PAM mode compensation coefficient. This includes: identifying the nonlinear photoelectric coupling characteristics and undercompensated response characteristics between the target pixel and adjacent pixels in the LED display screen to obtain nonlinear coupling parameters characterizing the complex interactions between pixels; establishing an adaptive compensation control model containing adjacent pixel space influence variables based on the nonlinear coupling parameters, and incorporating the adjacent pixel space influence variables into the PAM mode compensation coefficient calculation process to obtain a compensation control function considering the nonlinear interaction between pixels; constructing a backpropagation neural network structure containing an input layer, a hidden layer, and an output layer, and globally optimizing the weights and bias parameters of the backpropagation neural network based on the Grey Wolf optimization algorithm to obtain a Grey Wolf optimized backpropagation neural network; inputting the compensation control function and time-varying pixel characteristic data into the Grey Wolf optimized backpropagation neural network for online learning and parameter tuning to obtain optimized gain parameters that adapt to time-varying system signals and environmental interference; and performing adaptive correction operations on the compensation control function based on the optimized gain parameters to obtain the PAM mode compensation coefficient with nonlinear adaptive characteristics.

[0107] In one specific embodiment, the process of calculating the temperature compensation factor based on the operating temperature of the LED display screen and calculating the aging degradation compensation factor based on the cumulative usage time of the LED display screen can specifically include the following steps:

[0108] Collect chip temperature data from the LED display screen, and calculate the temperature compensation factor by performing a linear difference calculation between the chip temperature data and the standard operating temperature.

[0109] Extract the cumulative usage time data from the LED display screen's operation record, and multiply the cumulative usage time data with the aging decay constant to obtain the aging decay parameter;

[0110] An exponential function is used to calculate the aging degradation compensation factor based on the aging degradation parameters.

[0111] Specifically, during normal operation of the LED display, the embedded temperature sensor array collects chip temperature data in real time. The temperature sensors, integrated within the LED driver module, respond to minute fluctuations in the chip junction temperature within milliseconds and output high-precision temperature values ​​via a digital-to-analog converter. The real-time chip temperature data is then compared with a preset standard operating temperature (e.g., 25 degrees Celsius), representing the optimal luminous efficiency of the LED chip under design conditions. Subtracting the standard temperature from the current temperature yields a temperature offset, which is then mapped to a temperature correction coefficient using a linear correction model. The calculation uses a slope constant as a scaling factor, ensuring a slight adjustment to the compensation factor for every degree Celsius increase in temperature. This temperature compensation factor is used to modulate the driving parameters to counteract brightness reduction caused by temperature rise. Simultaneously, the cumulative brightness of the current LED pixels is retrieved from the operation record database. The accumulated usage time is recorded in hours and continuously updated throughout the equipment's operating cycle. This recording logic is continuously maintained by a dedicated timer circuit or system log module, ensuring the continuity and non-resettable nature of the time data. After acquiring the usage time, a preset aging decay constant is introduced. This constant is modeled based on the performance degradation rate of the LED material system under long-term electroluminescence conditions. Its physical meaning is the proportion of luminous efficiency decay per unit time. The accumulated usage time data is multiplied by the aging decay constant to obtain the aging decay parameter, representing the overall degree of degradation over time and forming the core variable in the aging model. The aging decay parameter is then input into an exponential decay function for calculation. An exponentially decreasing form is used as the mathematical basis for the modeling function to simulate the actual trend of LED luminous efficiency decreasing over time under conditions such as high temperature, high current density, and long-term operation. An aging decay compensation factor with a value between 0 and 1 is generated through exponential function calculation.

[0112] The process involves: deriving aging degradation compensation factors through exponential function calculations based on aging degradation parameters. This includes: establishing an LED device performance prediction model incorporating temperature change trends, accumulated usage time, and environmental humidity effects; training model parameters based on historical operating data to obtain a multivariate predictive control model; setting the prediction time domain length and control time domain length, and inputting the current system state as initial conditions into the multivariate predictive control model for rolling optimization calculations to obtain a future device performance prediction sequence; calculating the predicted values ​​of temperature compensation factors and aging degradation compensation factors for each future time based on the device performance prediction sequence, and constructing an optimization objective function including prediction error constraints and control quantity change rate constraints to obtain the predictive control optimization problem; solving the predictive control optimization problem using a quadratic programming algorithm, and extracting the first element of the optimal control sequence at the current time as the actual execution compensation factor to obtain a prediction-based dynamic compensation factor; performing adaptive fusion calculations between the dynamic compensation factor and compensation coefficients, and updating the prediction model state in the next control cycle to continue rolling optimization, resulting in a forward-looking dynamic compensation control effect.

[0113] In one specific embodiment, the process of performing a product operation on the compensation coefficient, the temperature compensation factor, and the aging attenuation compensation factor to generate driving parameters, and inputting the driving parameters into the pulse mixing modulation circuit to control the luminous intensity of the target pixel, can specifically include the following steps:

[0114] The compensation coefficient is multiplied term by term with the temperature compensation factor and the aging attenuation compensation factor to obtain the target calculation result.

[0115] When the pulse modulation mode is PAM modulation mode, the driving parameter is calculated as the driving current amplitude parameter based on the target calculation result; when the pulse modulation mode is PWM modulation mode, the driving parameter is calculated as the pulse width parameter based on the target calculation result.

[0116] The driving parameters are input to the pulse mixing modulation circuit for signal modulation to obtain the corresponding PAM current driving signal or PWM pulse width driving signal.

[0117] The luminous intensity of the target pixel is controlled by the PAM current drive signal or the PWM pulse width drive signal to obtain the compensation control result.

[0118] Specifically, the compensation coefficient is multiplied term by term with the temperature compensation factor and the aging attenuation compensation factor, integrating the effects of spatial, thermal, and temporal dimensions into a comprehensive adjustment factor. The generated compensation command can cover all dynamic changes in the environment of the current LED pixel, obtaining a target calculation result with practical physical meaning. The required parameter modulation form is determined based on the modulation mode path of the pixel. If the pulse modulation mode is PAM, the target calculation result is interpreted as an amplitude parameter for adjusting the drive current. The target calculation result is numerically coupled with a preset reference current amplitude to generate a drive current control value, directly determining the current on / off intensity of the corresponding pixel in each frame, suitable for pixel compensation needs with large differences. If the current modulation mode is PWM, the target calculation result is regarded as a scaling factor for adjusting the pulse duration, and the pulse width is multiplied by the scaling factor based on the reference pulse width to generate a pulse width parameter. The pulse width parameter controls the conduction time length of the LED pixel within a unit cycle, thereby achieving fine adjustment of brightness under constant current, suitable for dynamic compensation needs in low grayscale and fine texture areas. The driving parameters are input to the pulse hybrid modulation circuit, which possesses pattern recognition and signal reconstruction capabilities. Based on the current modulation type, it automatically selects either the PAM or PWM path for signal generation. In the PAM path, the modulation circuit controls the real-time adjustment of the current source output amplitude under a constant pulse width. In the PWM path, the current amplitude remains constant, and only the pulse width is adjusted to match the calculated pulse width value. The result is then converted into a standard driving waveform signal by the digital modulation module. The pulse current signal or pulse width signal is input to the driving unit where the target pixel is located, directly controlling the luminous current of the LED chip. This causes the output light intensity to gradually approach the standard display value in both brightness and chromaticity dimensions, thus obtaining the compensation control result.

[0119] The process involves multiplying the compensation coefficients with temperature compensation factors and aging attenuation compensation factors to generate driving parameters. This includes: establishing a multi-objective optimization function encompassing compensation accuracy, power efficiency, and response speed, and using the PAM mode driving current amplitude and PWM mode pulse width as co-optimization variables to obtain a multi-dimensional parameter optimization space; performing Pareto front search on the multi-dimensional parameter optimization space based on a non-dominated sorting genetic algorithm, and maintaining solution set diversity through an elite retention strategy and crowding distance calculation to obtain a multi-objective optimized solution set; extracting candidate parameter combinations with the best compensation accuracy, lowest power consumption, and fastest response from the multi-objective optimized solution set, and performing weighted scoring and sorting based on the current pixel difference value to obtain an adaptive evaluation result; selecting the optimal parameter combination based on the adaptive evaluation result, and performing fusion operations between the selected PAM current amplitude parameter and PWM pulse width parameter and their corresponding compensation coefficients to obtain co-optimized driving parameters; and synchronously inputting the co-optimized driving parameters into a pulse hybrid modulation circuit for parallel processing to obtain the optimal driving control signal that balances compensation effect and system efficiency.

[0120] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0121] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or 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.

[0122] The above-described embodiments are only used to illustrate the technical solutions of the present invention, and are not intended to limit it. 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. Such 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. An algorithm and implementation method for pixel uniformity compensation in an LED display screen, characterized in that, include: Collect photoelectric response data of the target pixel and its horizontally and vertically adjacent pixels in the LED display screen; Based on the photoelectric response data, a color difference deviation analysis is performed on the target pixel to obtain a pixel difference value. Specifically, this includes: extracting the pixel brightness values ​​of the target pixel and its horizontally and vertically adjacent pixels from the photoelectric response data, and calculating the deviation between each pixel brightness value and a standard brightness value to obtain pixel brightness deviation data; assigning distance weight values ​​to each pixel position in the pixel brightness deviation data, and performing a product operation and summation on the pixel brightness deviation data and the distance weight values ​​to obtain a weighted deviation sum; performing a normalization operation based on the weighted deviation sum divided by the distance weight sum to obtain a pixel spatial influence factor; and performing a color difference deviation analysis on the target pixel based on the pixel spatial influence factor to obtain a pixel difference value. Based on the pixel difference value, a pulse modulation mode is selected, and the pulse hybrid modulation circuit performs drive control according to the pulse modulation mode, wherein the pulse modulation mode is either PAM modulation mode or PWM modulation mode; specifically, it includes: comparing the pixel difference value with a preset modulation mode boundary threshold; when the pixel difference value exceeds the modulation mode boundary threshold, selecting PAM modulation mode as the pulse modulation mode, and when the pixel difference value does not exceed the modulation mode boundary threshold, selecting PWM modulation mode as the pulse modulation mode; generating a corresponding compensation coefficient according to the pulse modulation mode, and inputting the compensation coefficient into the pulse hybrid modulation circuit for drive control.

2. The LED display pixel uniformity compensation algorithm and implementation method according to claim 1, characterized in that, The acquisition of photoelectric response data of the target pixel and its horizontally and vertically adjacent pixels in the LED display screen includes: Activate the dual-line extended measurement circuit and construct a measurement channel through the dual-line extended measurement circuit; The measurement channel simultaneously acquires the brightness and chromaticity information of the target pixel and its horizontally and vertically adjacent pixels in the LED display screen to obtain a dual-line extended measurement matrix. Extract the photoelectric response data of the target pixel and its horizontally and vertically adjacent pixels from the dual-line extended measurement matrix.

3. The LED display pixel uniformity compensation algorithm and implementation method according to claim 2, characterized in that, The process of simultaneously acquiring the brightness and chromaticity information of the target pixel and its horizontally and vertically adjacent pixels in the LED display screen through the measurement channel to obtain a dual-line extended measurement matrix includes: Set the synchronous sampling period of the measurement channel and start synchronous sampling to obtain a sampling timing sequence that matches the refresh frequency of the LED display screen; Based on the sampling timing, the brightness of the target pixel and its horizontal and vertical adjacent pixels in the LED display screen are measured to obtain a brightness data group containing L(i-1,j), L(i,j), L(i+1,j), L(i,j-1), and L(i,j+1), where L represents the pixel brightness value, i represents the pixel row coordinate, and j represents the pixel column coordinate. Based on the sampling timing, chromaticity coordinate measurements are performed on the target pixel and its horizontal and vertical adjacent pixels to obtain a chromaticity data set containing C(i-1,j), C(i,j), C(i+1,j), C(i,j-1), and C(i,j+1), where C represents the CIE chromaticity coordinate. A bilinear extended measurement matrix is ​​constructed based on the luminance data set and the chromaticity data set.

4. The LED display pixel uniformity compensation algorithm and implementation method according to claim 1, characterized in that, The step of performing color difference deviation analysis on the target pixel based on the pixel spatial influence factor to obtain pixel difference values ​​includes: The pixel space influence factor is coupled with the measured brightness value of the target pixel to obtain the corrected brightness value. Perform CIE Lab color space conversion on the corrected brightness value and its corresponding chromaticity coordinates to obtain the target pixel Lab data; Calculate the brightness difference, red-green difference, and yellow-blue difference between the target pixel Lab data and the standard target Lab data, and perform a square root operation on the brightness difference, the red-green difference, and the yellow-blue difference to obtain the basic color difference value; Based on the frequency parameters of the LED display screen, the basic color difference value is modulated and transmitted to obtain the pixel difference value.

5. The LED display pixel uniformity compensation algorithm and implementation method according to claim 4, characterized in that, The step of performing modulation and transfer operations on the basic color difference value based on the frequency parameters of the LED display screen to obtain the pixel difference value includes: Frequency parameters are extracted from the pixel array of the LED display screen, including horizontal spatial frequency and vertical spatial frequency; Calculate the horizontal and vertical Nyquist frequencies of the LED display screen; Perform a sinc function operation on the horizontal spatial frequency and the horizontal Nyquist frequency to obtain the horizontal sinc function result, and perform a sinc function operation on the vertical spatial frequency and the vertical Nyquist frequency to obtain the vertical sinc function result; The modulation transfer factor is obtained by multiplying the horizontal sinc function result and the vertical sinc function result. The pixel difference value is obtained by performing a product operation on the basic color difference value based on the modulation transfer factor.

6. The LED display pixel uniformity compensation algorithm and implementation method according to claim 1, characterized in that, The step of generating a corresponding compensation coefficient based on the pulse modulation mode and inputting the compensation coefficient into the pulse hybrid modulation circuit for drive control includes: When the pulse modulation mode is PAM modulation mode, the ratio of the target brightness value and the measured brightness value is calculated and multiplied with the pixel space influence factor to obtain the compensation coefficient, which is the PAM mode compensation coefficient. When the pulse modulation mode is PWM modulation mode, a product operation is performed based on the reference pulse width and the PAM mode compensation coefficient to obtain the compensation coefficient as the PWM mode compensation pulse width. The temperature compensation factor is calculated based on the operating temperature of the LED display screen, and the aging attenuation compensation factor is calculated based on the cumulative usage time of the LED display screen. The compensation coefficient is multiplied by the temperature compensation factor and the aging attenuation compensation factor to generate driving parameters, and the driving parameters are input into the pulse mixing modulation circuit to control the luminous intensity of the target pixel.

7. The LED display pixel uniformity compensation algorithm and implementation method according to claim 6, characterized in that, The step of calculating a temperature compensation factor based on the operating temperature of the LED display screen and calculating an aging degradation compensation factor based on the cumulative usage time of the LED display screen includes: Collect chip temperature data from the LED display screen, and calculate the temperature compensation factor by performing a linear difference calculation between the chip temperature data and the standard operating temperature. Extract the cumulative usage time data from the LED display screen's operation record, and multiply the cumulative usage time data with the aging decay constant to obtain the aging decay parameter; An exponential function is performed based on the aging degradation parameters to obtain the aging degradation compensation factor.

8. The LED display pixel uniformity compensation algorithm and implementation method according to claim 6, characterized in that, The step of multiplying the compensation coefficient with the temperature compensation factor and the aging attenuation compensation factor to generate driving parameters, and inputting the driving parameters into the pulse mixing modulation circuit to control the luminous intensity of the target pixel, includes: The compensation coefficient is multiplied term by term with the temperature compensation factor and the aging attenuation compensation factor to obtain the target calculation result. When the pulse modulation mode is PAM modulation mode, the driving parameter is calculated as the driving current amplitude parameter based on the target calculation result; when the pulse modulation mode is PWM modulation mode, the driving parameter is calculated as the pulse width parameter based on the target calculation result. The driving parameters are input to the pulse mixing modulation circuit for signal modulation to obtain the corresponding PAM current driving signal or PWM pulse width driving signal. The target pixel is subjected to luminous intensity control based on the PAM current drive signal or the PWM pulse width drive signal to obtain the compensation control result.

Images