Display correction method and device, equipment, storage medium and program product

Abstract

The invention provides a display correction method and device, equipment, a storage medium and a program product, and relates to the technical field of equipment correction, and the method comprises the steps: monitoring the display data of a display screen under the condition that the display screen is lightened; inputting the characteristic parameters of the display screen into an aging prediction model to obtain optimal aging data of the display screen output by the aging prediction model; the aging prediction model is obtained based on sample aging data training; determining aging information of the display screen according to the optimal aging data; and under the condition that the monitored target display data meets the aging information, executing correction operation on a display corresponding to the display screen. According to the method, the optimal aging data suitable for different types of display screens are predicted through the model, so that the correction process better meets the actual requirements of products, meanwhile, more accurate, efficient and automatic display screen aging can be realized, the correction accuracy of the display and the product quality are improved, and the risk caused by manual operation is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of device calibration, and in particular to a display calibration method, device, equipment, storage medium and program product. Background Art

[0002] As a core display technology widely used in electronic devices such as televisions, computers, and mobile phones, the stability of LCD display effects directly affects the user experience. The brightness and chromaticity of LCD screens are key factors affecting the display effect. Therefore, it is very important to ensure the stability of these parameters during the production process of LCD screens. For this reason, manufacturers usually perform a series of calibration operations before LCD screens leave the factory, including gamma calibration, to ensure that the products achieve the expected display effect when leaving the factory.

[0003] In order to ensure that the LCD screen can accurately reflect the true color, calibration usually needs to be performed when the brightness and chromaticity of the LCD screen are in a stable state. However, when the LCD screen is just produced, the internal electronic components and optical parts are not yet completely stable, so there may be fluctuations in brightness and chromaticity. Therefore, in order to ensure that the LCD screen can maintain a stable display effect for a long time when it leaves the factory, it is usually necessary to "age" the LCD screen first, especially high-temperature aging. Aging treatment can accelerate the stabilization process of the internal components of the LCD screen and reduce brightness and chromaticity fluctuations caused by unstable components. After a certain period of aging, the display performance of the LCD screen tends to be stable and can provide a more consistent display effect.

[0004] At present, many LCD screen manufacturers manually record the aging time of LCD screens and perform corrections after the aging process. Specifically, production line workers usually manually record the aging time after the LCD screen has been aged for a specified period of time, and perform corresponding correction operations based on the records. Although this method can guarantee the basic performance of the LCD screen to a certain extent, it still has some shortcomings in terms of accuracy, efficiency and consistency of operation. Therefore, artificial aging of the display screen, resulting in low correction accuracy of the display, has become a problem that needs to be solved urgently. Summary of the invention

[0005] The present invention provides a display calibration method, device, equipment, storage medium and program product, which are used to solve the defect of low calibration accuracy of the display caused by artificial aging of the display in the prior art, realize more accurate, efficient and automatic display aging, improve the calibration accuracy of the display and product quality, and reduce the risks caused by human operation.

[0006] The present invention provides a display calibration method, comprising the following steps: When the display screen is turned on, the display data of the display screen is monitored; the display data includes brightness data, temperature data and chromaticity data; Inputting characteristic parameters of the display screen into an aging prediction model to obtain optimal aging data of the display screen output by the aging prediction model; the aging prediction model is obtained by training based on sample aging data; Determining aging information of the display screen according to the optimal aging data; When the target display data obtained through monitoring satisfies the aging information, a correction operation is performed on the display corresponding to the display screen.

[0007] According to a display calibration method provided by the present invention, determining the aging information of the display screen according to the optimal aging data includes: According to the optimal aging data, obtaining brightness change information, temperature change information and chromaticity change information of the display screen over time during the aging process; Determining a brightness aging threshold according to the brightness change information; Determine, according to the temperature change information, a temperature interval in which the temperature is in a stable state and a first duration; According to the chromaticity change information, a chromaticity interval in which the chromaticity is in a stable state and a second duration are determined.

[0008] According to a display calibration method provided by the present invention, the target display data includes target brightness data, target temperature data and target chromaticity data; The target display data satisfies the aging information based on the following determination: Based on the target temperature data, obtaining a temperature value and a third duration of time during which the temperature of the display screen is in a stable state during the aging process; Based on the target chromaticity data, obtaining a chromaticity value and a fourth duration of time when the chromaticity of the display screen is in a stable state during the aging process; If the brightness value in the target brightness data reaches the brightness aging threshold, the temperature value is in the temperature range and the third duration is greater than or equal to the first duration, and the chromaticity value is in the chromaticity area and the fourth duration is greater than or equal to the second duration, it is determined that the target display data meets the aging information.

[0009] According to a display calibration method provided by the present invention, the display screen is provided with a backlight detection module, a temperature detection module and a chromaticity detection module; the display data of the display screen is monitored, including: Based on the backlight detection module, monitoring the brightness data of the display screen; When the brightness value in the brightness data reaches a preset brightness value, performing an aging operation on the display screen and accumulating an aging time; During the aging process of the display screen, the temperature data of the display screen is monitored based on the temperature detection module, and the chromaticity data of the display screen is monitored based on the chromaticity detection module.

[0010] According to a display calibration method provided by the present invention, the calibration operation is performed on a display corresponding to the display screen, comprising: Measuring the actual output brightness of the display under multiple input brightnesses to obtain multiple sets of brightness data; Performing curve fitting according to the plurality of groups of brightness data to obtain an actual brightness response curve; Generating a correction curve according to the difference between the actual brightness response curve and a preset ideal curve; A correction operation is performed on the display according to the correction curve.

[0011] According to a display correction method provided by the present invention, the aging prediction model is trained based on the following method: Get actual aging data for various types of displays; Performing data preprocessing on the actual aging data to obtain the sample aging data; The sample aging data is used to train a preset neural network model to obtain the aging prediction model.

[0012] The present invention also provides a display calibration device, comprising the following modules: A monitoring module, used to monitor display data of the display screen when the display screen is turned on; the display data includes brightness data, temperature data and chromaticity data; A prediction module, used for inputting characteristic parameters of the display screen into an aging prediction model to obtain optimal aging data of the display screen output by the aging prediction model; the aging prediction model is obtained by training based on sample aging data; An aging information determination module, used to determine the aging information of the display screen according to the optimal aging data; The correction module is used to perform a correction operation on a display corresponding to the display screen when the target display data obtained through monitoring meets the aging information.

[0013] The present invention also provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, any of the display correction methods described above is implemented.

[0014] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the display correction method described in any one of the above is implemented.

[0015] The present invention also provides a computer program product, comprising a computer program, wherein when the computer program is executed by a processor, the display correction method described above is implemented.

[0016] The display correction method, device, equipment, storage medium and program product provided by the present invention monitor the display data of the display screen when the display screen is lit; input the characteristic parameters of the display screen into the aging prediction model to obtain the optimal aging data of the display screen output by the aging prediction model; the aging prediction model is obtained based on the training of sample aging data; according to the optimal aging data, the aging information of the display screen is determined; when the target display data obtained by monitoring meets the aging information, the correction operation is performed on the display corresponding to the display screen. The present invention predicts the optimal aging data suitable for different types of display screens through a model, so that the correction process is more in line with the actual needs of the product. At the same time, it can achieve more accurate, efficient and automated display screen aging, improve the correction accuracy of the display and product quality, and reduce the risks caused by human operation. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0018] Figure 1 It is a flow chart of the display calibration method provided by the present invention.

[0019] Figure 2 It is a structural schematic diagram of the display correction device provided by the present invention.

[0020] Figure 3 It is a module schematic diagram of the display correction device provided by the present invention.

[0021] Figure 4 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0022] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0023] Combine the following Figure 1-Figure 4 The display calibration method, apparatus, device, storage medium and program product of the present invention are described.

[0024] Figure 1 is a flow chart of the display calibration method provided by the present invention, such as Figure 1 As shown, the method includes the following: Step 101: When the display screen is turned on, monitor the display data of the display screen.

[0025] It is understandable that the display screen may be a liquid crystal screen, an organic light emitting diode screen, a plasma display screen, etc. The display data may include brightness data, temperature data and chromaticity data, or may include at least one of the brightness data, temperature data and chromaticity data.

[0026] When the display screen is lit, that is, the display screen is in a lit state, the brightness, temperature and chromaticity of the display screen can be monitored by a detection module arranged in the display screen.

[0027] In one embodiment, a display screen is provided with a backlight detection module, a temperature detection module and a chromaticity detection module; the display data of the display screen is monitored, including: based on the backlight detection module, monitoring the brightness data of the display screen; when the brightness value in the brightness data reaches a preset brightness value, performing an aging operation of the display screen and accumulating the aging time; during the aging process of the display screen, monitoring the temperature data of the display screen based on the temperature detection module, and monitoring the chromaticity data of the display screen based on the chromaticity detection module.

[0028] For example, when the display screen is in the lighted state, the backlight detection module starts working. Specifically, the photoelectric sensor array in the backlight detection module (assuming that multiple sensors are distributed at different positions behind the display screen to detect the uniformity of the backlight) senses the light emitted by the backlight in real time; after the photocurrent signals of all sensors are converted to digital, they are preliminarily processed inside the backlight detection module. For example, the average value or weighted average value of these sensor signals is calculated (if the brightness of certain areas has a greater impact on the overall, a higher weight will be given) to obtain a comprehensive backlight brightness value. After the backlight brightness value is transmitted to the CPU of the display calibration device, the CPU compares it with the preset brightness value. Among them, the preset brightness value can be set based on the standard working brightness of the display screen of this model. For example, for ordinary displays, the preset brightness value can be 200cd / m² (candela per square meter). When the detected brightness value reaches or exceeds the preset brightness value, the electrical timing device in the CPU starts timing and performs an aging operation. During the aging process, the backlight detection module continuously transmits the latest brightness data to the CPU, and the CPU obtains this data at a certain time interval (for example, every 5 minutes). In order to monitor the brightness changes more accurately, the CPU can smooth these data, for example, using the moving average method. That is, after each acquisition of new data, the average value of the data of the most recent few times (such as the most recent 3 times) is calculated as the evaluation value of the current brightness. If it is found that the brightness drops by more than a certain proportion (for example, 10%), the CPU will check whether it is due to the natural attenuation of the backlight source (such as LED lamp beads) caused by the long aging time, or there are other problems, such as unstable power supply or failure of the backlight module. At this time, the CPU can trigger an alarm to remind the staff to check. At the same time, the CPU will also record these brightness change data for subsequent analysis and report generation. Optionally, in addition to monitoring the overall brightness, the backlight detection module can also detect the uniformity of the brightness. By comparing the data differences of sensors at different positions, the brightness uniformity index, such as brightness unevenness (which can be expressed by the difference between the maximum brightness and the minimum brightness divided by the average brightness), is calculated. During the aging process, if it is found that the brightness unevenness exceeds the preset standard (for example, for high-quality displays, the unevenness should be less than 15%), the CPU can perform corresponding processing, such as adjusting the backlight drive current distribution or marking the LCD screen as having quality problems.

[0029] The temperature sensor (such as a thermistor) in the temperature detection module is initialized when the system starts. The thermistor can be connected to a Wheatstone bridge circuit or other suitable measurement circuit. When the temperature changes, the resistance of the thermistor changes, causing the bridge to output an unbalanced voltage. This unbalanced voltage is amplified and converted to a digital temperature signal. The temperature detection module collects multiple temperature samples in a short period of time (for example, every second), and then filters these samples to remove noise interference to obtain a relatively stable temperature reading, which is transmitted to the CPU. After receiving the temperature data, the CPU will establish a temperature change curve to record the temperature data at each time point and analyze the temperature rise, fall or stability trend. Optionally, in the early stage of aging, the temperature will gradually rise as various components inside the display (such as the backlight module, drive circuit, etc.) start to work. The CPU will pay attention to the rate of temperature rise. If the temperature rises too fast (for example, more than 5 degrees Celsius per minute), it indicates that there is an abnormal heating condition, such as a short circuit or poor heat dissipation. At this time, the CPU will trigger the corresponding protection mechanism, such as reducing the working power of the display or issuing an alarm. When the temperature rises to a certain level, it begins to enter the stable stage. The CPU will check the fluctuation of the temperature data within a continuous time (such as 1 minute). For example, the standard deviation of the temperature data within this 1 minute (a statistic that measures the degree of data dispersion) is calculated. If the standard deviation is less than the preset value (such as 0.3 degrees Celsius), the temperature is considered to be stable. Once the temperature is stable, the CPU will notify the system that the next step of color detection can be carried out. At the same time, the CPU will record the time point when the temperature stabilizes and the temperature value after stabilization as an important parameter of the display screen for subsequent quality evaluation and correction reference.

[0030] The chromaticity detection module needs to be initialized and calibrated before it starts working. If a color sensor is used, white balance calibration will be performed first to ensure that the color can be accurately measured under different lighting conditions. The calibration process can involve the detection of a standard white light source (such as a D65 light source) and adjusting the gain and offset of the sensor so that the chromaticity coordinates of the detected white light meet the standard value. For a spectrometer, wavelength calibration is required to ensure that the light intensity of different wavelengths can be accurately measured. After the calibration is completed, the chromaticity detection module begins to perform chromaticity detection on the front of the LCD screen. After the color sensor detects the light intensity of the three primary colors of red, green, and blue, the chromaticity coordinates are calculated through a color space conversion algorithm (such as conversion from RGB space to CIE 1931 xy chromaticity space). The spectrometer will collect more detailed spectral data and calculate the chromaticity parameters through operations such as integration. The chromaticity data will be transmitted to the CPU regularly (for example, every 30 seconds). The CPU will store this data in memory and organize and analyze the data. For example, the color deviation is calculated, which is an indicator for measuring the difference between two colors, such as by comparing the current colorimetric data with the standard colorimetric data (such as the sRGB standard colorimetric). Similar to the temperature stability judgment, the CPU checks whether the colorimetric data is stable over a continuous period of time (such as 1 minute). Specifically, it checks whether the color deviation (ΔE) is within a preset range (for example, for high-quality displays, ΔE should be less than 2), and whether the chromaticity coordinates remain basically unchanged.

[0031] Step 102: inputting characteristic parameters of the display screen into an aging prediction model to obtain optimal aging data of the display screen output by the aging prediction model.

[0032] The aging prediction model is trained based on sample aging data. In one embodiment, the aging prediction model is trained based on the following method: obtaining actual aging data of multiple types of display screens; performing data preprocessing on the actual aging data to obtain sample aging data; and using the sample aging data to train a preset neural network model to obtain an aging prediction model.

[0033] Specifically, first, collect a large number of actual aging data of different types of display screens, which can come from simulated aging tests in the laboratory and product aging records on the actual production line. During the collection process, record the characteristic parameters of each display screen, which can include: basic parameters of the LCD screen (such as material properties, size, resolution, backlight type and parameters, etc.), environmental parameters (temperature, humidity, voltage, etc.) and complete aging process data (including brightness, chromaticity, temperature, etc. at different time points). Secondly, clean and preprocess the collected data to obtain sample aging data. For example, remove outliers, such as unreasonable brightness or temperature data caused by test equipment failure or human error; normalize the data so that different types of data (such as brightness, temperature, time, etc.) have the same dimension, which is convenient for subsequent model training. Furthermore, according to the nature of the problem, you can choose a suitable machine learning or deep learning model. For example, for an aging process with complex nonlinear relationships, you can choose a neural network (such as a variant of a multilayer perceptron or a convolutional neural network); if the relationship between the data is relatively simple, you can choose a linear regression model or a support vector regression model. Finally, the sample aging data obtained after preprocessing (such as basic display parameters, environmental parameters, initial performance data, etc.) is input into the selected model, and the output data (optimal aging time, performance change curve, performance parameters under stable state, etc.) is used as the target for training. During the training process, the error between the predicted output and the actual output is minimized by adjusting the parameters of the model (such as the weight and bias of the neural network).

[0034] After the aging prediction model is obtained through training, the characteristic parameters of the display screen are input into the aging prediction model to obtain the optimal aging data of the display screen output by the aging prediction model. The optimal aging data may include: 1) Optimal aging time: The model outputs the aging time required for a specific display to reach the optimal performance state under given input parameters. The aging time can be a specific value, such as 30 minutes, 48 ​​hours, etc., or a time range.

[0035] 2) Performance change curves during aging: including curves of brightness change over time, curves of chromaticity (such as color coordinates, color saturation, etc.) change over time, and curves of temperature change over time. These curves can help production personnel better understand the performance evolution of the display during the aging process so that corrections can be made when appropriate.

[0036] 3) Performance parameters in a stable state: When the display reaches the optimal aging state, the model outputs the ideal values ​​of brightness, chromaticity and temperature at this time. For example, how many candela per square meter (cd / m²) should the center brightness reach in a stable state, and what range should the color deviation (ΔE) be within.

[0037] The optimal aging data predicted by the model contains detailed information about the changes in brightness, temperature and chromaticity over time. This makes it no longer necessary to rely on simple and potentially inaccurate fixed time or manual experience when judging whether the display has reached a state suitable for correction, thereby improving the accuracy of correction.

[0038] Step 103: Determine aging information of the display screen according to the optimal aging data.

[0039] After the model outputs the optimal aging data, the aging information of the display screen is extracted from the optimal aging data. In one embodiment, according to the optimal aging data, the brightness change information, temperature change information and chromaticity change information of the display screen that change with time during the aging process are obtained; according to the brightness change information, the brightness aging threshold is determined; according to the temperature change information, the temperature interval in which the temperature is in a stable state and the first duration are determined; according to the chromaticity change information, the chromaticity interval in which the chromaticity is in a stable state and the second duration are determined.

[0040] For example, when the model outputs the optimal aging data, it includes curves showing how the brightness, temperature, and chromaticity of the display change over time during the aging process. These curves are based on a large amount of experimental data, the physical properties of the display, and the production environment, and can accurately reflect the performance changes of the display under ideal aging conditions. For example, the model can output a function expression showing how the brightness changes over time or a set of discrete data points. By analyzing these data, we can clearly see how the brightness changes over time. Similarly, similar analysis can be performed on temperature and chromaticity change information.

[0041] During the aging process, the brightness will gradually stabilize, but this stabilization process is not completed instantly. By analyzing the brightness change curve, a key brightness value or brightness change rate can be found as the aging threshold. For example, if the brightness change rate over a period of time is less than a certain value (such as the brightness change per hour is less than 0.5 cd / m²), it can be considered that the brightness has reached a relatively stable state at this time. This change rate or the corresponding brightness value can be used as the brightness aging threshold, which can be used to determine whether the display has completed enough aging process for subsequent correction operations.

[0042] During the aging process, the temperature will gradually rise and eventually reach a stable range. By observing the temperature change curve, you can find an interval with smaller temperature fluctuations, which is a stable temperature interval. At the same time, in order to ensure that the temperature is truly stable, it is necessary to determine a first duration, that is, the length of time in this temperature interval. For example, when the temperature fluctuates between 40-42 degrees Celsius and lasts for more than 10 minutes, it can be considered that the temperature has reached a stable state.

[0043] For chromaticity, the chromaticity interval and the second duration of chromaticity stability can also be determined based on the chromaticity change information. By analyzing the chromaticity change curve, an interval where the chromaticity deviation (such as ΔE) is less than a certain value can be found as a stable chromaticity interval. When the chromaticity duration in this interval reaches the second duration (such as 5 minutes), it can be determined that the chromaticity has also reached a stable state.

[0044] Based on this, by determining the stable states of brightness, temperature and chromaticity respectively, it is possible to comprehensively evaluate whether the display has completed an effective aging process, providing a reliable basis for subsequent corrections. Compared with the traditional method based on fixed time or simple manual judgment, the above scheme takes into account the actual performance changes of the display during the aging process, not just the time factor. Through a comprehensive evaluation of the three dimensions of brightness, temperature and chromaticity, it is possible to more accurately determine whether the display has reached a state suitable for correction, which helps to optimize production processes and costs.

[0045] Step 104: When the target display data obtained through monitoring satisfies the aging information, a correction operation is performed on the display corresponding to the display screen.

[0046] The target display data includes target brightness data, target temperature data and target chromaticity data.

[0047] In one embodiment, the target display data satisfies the aging information based on the following method: based on the target temperature data, the temperature value and the third duration of the display screen being in a stable state during the aging process are obtained; based on the target chromaticity data, the chromaticity value and the fourth duration of the display screen being in a stable state during the aging process are obtained; if the brightness value in the target brightness data reaches the brightness aging threshold, the temperature value is in the temperature range and the third duration is greater than or equal to the first duration, and the chromaticity value is in the chromaticity area and the fourth duration is greater than or equal to the second duration, it is determined that the target display data satisfies the aging information.

[0048] For example, the brightness aging threshold indicates that the brightness of the display has reached a relatively stable state, which is suitable for subsequent correction operations. Therefore, the brightness value in the target brightness data obtained by monitoring needs to reach the brightness aging threshold, because brightness stability is an important aspect of display performance stability. Only when the brightness is stable can the accuracy and effectiveness of the correction be guaranteed.

[0049] Based on the target temperature data from the monitoring data, the temperature value and the third duration of the temperature of the display in the stable state during the aging process are obtained. The temperature stable state means that the temperature inside the display has reached an equilibrium state and no longer has obvious fluctuations. The temperature value of the stable state can be a numerical value or a temperature range. In actual situations, the temperature may fluctuate within a small range, but it can still be considered stable, for example, the temperature is stable between 40-42 degrees Celsius. At the same time, the stable state needs to last for a certain period of time, that is, the third duration, which needs to be compared with the predetermined first duration. The first duration is predicted by the model and represents the shortest time required for a reasonable temperature stabilization. For example, it is stipulated that the temperature is considered to have reached the stability requirement only when it lasts for more than 10 minutes (the first duration) in the stable interval. When the third duration is greater than or equal to the first duration, the temperature index meets the correction condition.

[0050] The chromaticity value and the fourth duration of the display in a stable state during the aging process are obtained from the target chromaticity data. The chromaticity stable state means that the color displayed by the display no longer changes significantly within a certain chromaticity range. The chromaticity range is determined based on the requirements of color accuracy and the actual aging situation. For example, the interval in which the chromaticity deviation (such as ΔE) is less than a certain value (such as ΔE<2) can be considered a stable chromaticity range. Similarly, the fourth duration needs to be compared with the second duration. The second duration is the shortest time required for chromaticity stability predicted by the model. For example, it is stipulated that the chromaticity has reached the stability requirement only when it lasts for more than 5 minutes (the second duration) in the stable range. Only when the chromaticity value is in the chromaticity area and the fourth duration is greater than or equal to the second duration, the chromaticity index meets the correction condition.

[0051] When the three indicators of brightness, temperature and chromaticity all meet their respective conditions, that is, the brightness value reaches the brightness aging threshold, the temperature value is in the temperature range and the third duration is greater than or equal to the first duration, and the chromaticity value is in the chromaticity area and the fourth duration is greater than or equal to the second duration, it is determined that the target display data meets the aging information, and then the display corresponding to the display screen is corrected. This multi-dimensional and strict judgment method can ensure that the display is in the best aging state when calibrating, thereby improving the performance of the calibrated display and reducing the possibility of problems such as brightness, temperature and chromaticity changes during use.

[0052] In one embodiment, performing a correction operation on a display corresponding to the display screen includes: measuring the actual output brightness of the display under multiple input brightnesses to obtain multiple sets of brightness data; performing curve fitting based on the multiple sets of brightness data to obtain an actual brightness response curve; generating a correction curve based on the difference between the actual brightness response curve and a preset ideal curve; and performing a correction operation on the display based on the correction curve.

[0053] For example, taking gamma correction as an example, in the process of display aging prediction and optimization, gamma correction is used to adjust the brightness, contrast and color performance of the display so that it can maintain color consistency and brightness accuracy under different usage conditions. The main purpose of gamma correction is to adjust the input signal of the display (such as image or video signal) so that the display effect output by the display is more in line with the standard visual effect. Among them, the gamma correction process can be divided into the following steps: Step 1, measure the current response characteristics of the display: First, you need to measure the actual output brightness of the display at different input brightness. By measuring the output brightness at different input brightness multiple times, you can get the actual brightness response curve of the display. For example, plot the input brightness value of each measurement point and its corresponding output brightness value (the value measured by the brightness meter) into a graph, with the horizontal axis being the input brightness value and the vertical axis being the output brightness value. This curve is the actual brightness response curve of the display.

[0054] Step 2: Calculate the ideal gamma curve: According to the standard color management specification, the ideal gamma curve is a defined value. For example, the gamma value recommended by the sRGB standard is 2.2, which means that the relationship between the brightness output by the display and the input signal should follow the following curve: ; In this process, different gamma values ​​can be selected according to specific standards or user needs.

[0055] Step 3: Generate a gamma correction curve: Based on the measured display response curve and the target ideal gamma curve, a gamma correction curve is generated by calculating the difference. This curve will establish a mapping relationship between the display input brightness and output brightness, ensuring that the display brightness response is closer to the ideal linear relationship, which is more in line with the perception characteristics of the human eye.

[0056] Step 4: Apply gamma correction: Adjust the input signal to the monitor so that it follows the gamma correction curve. This can be done, for example, through electronic adjustments at the hardware level (e.g., the digital signal processor (DSP) inside the monitor). Alternatively, gamma correction can be done through the operating system or graphics card driver, and software-level adjustments can be made on the computer side to ensure that the monitor's display meets the standard.

[0057] By comparing the actual test data with the optimal aging data predicted by the model and then performing the correction operation, the quality of the display products can be effectively guaranteed. At the same time, rework caused by inaccurate correction can be reduced, and production efficiency can be improved. In addition, the process of model prediction and data comparison can be partially automated to reduce manual intervention and further improve the consistency and stability of production.

[0058] The display correction method provided by the embodiment of the present invention monitors the display data of the display screen when the display screen is lit; the display data includes brightness data, temperature data and chromaticity data; the characteristic parameters of the display screen are input into the aging prediction model to obtain the optimal aging data of the display screen output by the aging prediction model; the aging prediction model is obtained based on the training of sample aging data; according to the optimal aging data, the aging information of the display screen is determined; when the target display data obtained by monitoring meets the aging information, the correction operation is performed on the display corresponding to the display screen. The present invention predicts the optimal aging data suitable for different types of display screens through a model, so that the correction process is more in line with the actual needs of the product. At the same time, it can achieve more accurate, efficient and automated display screen aging, improve the correction accuracy of the display and product quality, and reduce the risks caused by human operation.

[0059] In order to further analyze and illustrate the display calibration method proposed by the present invention, refer to the following embodiments.

[0060] refer to Figure 2 The embodiment of the present invention specifically proposes a display calibration device, including a CPU (with an electric timing device, an input signal detection device, and a notification device with a calibration status (readable)), a backlight detection module, a temperature detection module, a chromaticity detection module, and a PC (calibration module), wherein the temperature detection module, the chromaticity detection module, and the backlight detection module are all connected to the display screen and the CPU in communication; the CPU is connected to the PC in communication. The main working process of the display calibration device includes: 1) System initialization and standby: After the display calibration device is powered on, each module (CPU, backlight detection module, temperature detection module, chromaticity detection module and PC calibration module) performs self-test to ensure that its functions are normal. At this time, the entire system is in standby mode, waiting for the display to be connected and start the workflow.

[0061] 2) Display screen lighting detection and timing start: When the display screen is connected and receives the input signal to start lighting up, the backlight detection module monitors its backlight brightness in real time. Once the backlight brightness reaches the preset threshold, the information is immediately transmitted to the CPU. The CPU's built-in electrical timing device then starts the timing operation and begins to accumulate the display screen's lighting time. For example, for conventional medical displays, the preset aging time is 30 minutes, and the timing officially starts from this moment. If there are special requirements for a display screen that requires a longer aging time (such as 48 hours for some high-end diagnostic imaging displays), the CPU uses its internal storage chip to accurately record the accumulated time to ensure that the aging time meets the requirements.

[0062] 3) Temperature stability monitoring: During the timing process, the temperature detection module works synchronously and continuously measures the temperature on the back of the display or inside the display. At regular intervals (for example, collecting data every 10 seconds), it transmits the latest temperature value to the CPU. The CPU determines whether the temperature has reached a stable state based on these data. The specific judgment criteria are: within 1 consecutive minute, if the temperature value transmitted by the temperature detection module changes very little (a small allowable fluctuation range is set, such as ±0.5 degrees Celsius), the temperature can be considered stable. If the stable state has not yet been reached, the system continues to time and monitor the temperature until the conditions are met.

[0063] 4) Chromaticity stability monitoring: At the same time as temperature monitoring, the chromaticity detection module also monitors the chromaticity of the front of the display screen. This module uses a high-precision color sensor to obtain the chromaticity data of the display screen at a certain frequency (such as once every 5 seconds) and transmit it to the CPU in real time. The CPU determines the chromaticity stability according to the established rules, that is, if the chromaticity data remains unchanged within the acceptable color deviation range (set according to industry standards or product-specific requirements, such as ΔE<1, ΔE represents color difference) within 1 consecutive minute, the chromaticity is determined to be stable. If the chromaticity still fluctuates, continue to detect until it stabilizes.

[0064] 5) Calibration judgment and execution: When the CPU determines that the aging time meets the standard, the temperature and chromaticity are stable at the same time according to the above monitoring results, that is, when all three conditions are met, on the one hand, the CPU controls the display screen to display specific prompt information, such as displaying the words "Ready for calibration" in the corner of the screen to inform the on-site operator of the current status; on the other hand, the CPU transmits the calibration ready status information to the PC through the communication link. After the calibration module on the PC reads the information, it immediately starts the gamma calibration program. The calibration module accurately adjusts the display screen according to the pre-set gamma curve parameters and color temperature standards for this model of display screen. During the calibration process, each module remains in the monitoring state to ensure that the calibration process is not disturbed by the outside world and is completed smoothly. After the calibration is completed, the system records the relevant data for subsequent traceability and quality analysis. At this point, the calibration process of a display screen is completely completed, and the calibration link of the next display screen can be entered.

[0065] In one embodiment, the above workflow is explained by taking a medical display production factory producing a batch of LCD displays for X-ray imaging diagnosis as an example.

[0066] On the production line, workers connect a newly assembled LCD screen to the display calibration device, and each module of the device quickly completes self-inspection and enters working state.

[0067] When the LCD screen is powered on, the backlight detection module detects that the backlight brightness rises instantly. When the brightness reaches the preset normal working threshold (for example, 300 cd / m², which is set according to the visual standard of this type of medical display), the CPU timing device starts immediately and begins to accumulate the aging time for this LCD screen. Because it is used for X-ray imaging diagnosis, the requirements are higher, and the preset aging time is 4 hours.

[0068] During the 4-hour aging process, the temperature detection module continuously monitors the temperature of the back of the LCD screen. At first, due to the heating of the circuit and the adaptation of the liquid crystal material to the working state, the temperature gradually rises from the room temperature of 25 degrees Celsius to about 32 degrees Celsius, and fluctuates within a certain range. As time goes by, about 3 hours and 40 minutes later, for 1 minute in a row, the temperature value transmitted to the CPU by the temperature detection module is stable between 32.5 degrees Celsius ± 0.5 degrees Celsius, meeting the temperature stability condition.

[0069] At the same time, the color detection module has been monitoring the color of the front of the LCD screen. Because the liquid crystal molecular arrangement and backlight color mixing are unstable at the beginning of lighting, the color data fluctuates greatly. But after a period of running-in, after nearly 4 hours, the color difference △E of the color is controlled within the range of <1 within 1 minute, reaching the color stability standard.

[0070] The CPU comprehensively determines that the aging time, temperature, and chromaticity have all met the standards, displays a prompt message "Can be calibrated" on the LCD screen, and sends the calibration ready status to the PC. After receiving the information, the calibration module of the PC calls up the gamma correction parameters for this X-ray imaging diagnostic LCD screen (for example, the gamma value is set to 2.2, the color temperature is 6500K, etc.), and accurately adjusts the LCD screen. After the adjustment is completed, the time, parameters and other data of the calibration are recorded, and the LCD screen can be packaged and shipped. When it is put into medical use later, it can maintain stable display performance for a long time, avoid abnormal changes in brightness, chromaticity or gamma curve in a short period of time, and provide reliable visual protection for accurate X-ray imaging diagnosis.

[0071] The display calibration device and calibration method provided by the embodiment of the present invention effectively overcome the drawbacks of the traditional artificial aging calibration method through multi-module collaboration and accurate detection and judgment steps, and provide a reliable quality assurance solution for products such as medical displays that have strict requirements on display effects. At the same time, it can achieve more accurate, efficient and automated display screen aging, improve the calibration accuracy of the display and product quality, and reduce the risks caused by human operation.

[0072] The display correction device provided by the present invention is described below. The display correction device described below and the display correction method described above can be referred to each other.

[0073] refer to Figure 3 The display correction device provided by the present invention includes a monitoring module 301, a prediction module 302, an aging information determination module 303 and a correction module 304.

[0074] The monitoring module 301 is used to monitor the display data of the display screen when the display screen is turned on; the display data includes brightness data, temperature data and chromaticity data; Prediction module 302, used for inputting characteristic parameters of the display screen into an aging prediction model to obtain optimal aging data of the display screen output by the aging prediction model; the aging prediction model is obtained by training based on sample aging data; An aging information determination module 303, configured to determine aging information of the display screen according to the optimal aging data; The correction module 304 is used to perform a correction operation on the display corresponding to the display screen when the target display data obtained through monitoring meets the aging information.

[0075] The display correction device provided by the embodiment of the present invention monitors the display data of the display screen when the display screen is lit; the display data includes brightness data, temperature data and chromaticity data; the characteristic parameters of the display screen are input into the aging prediction model to obtain the optimal aging data of the display screen output by the aging prediction model; the aging prediction model is obtained based on the training of sample aging data; according to the optimal aging data, the aging information of the display screen is determined; when the target display data obtained by monitoring meets the aging information, the correction operation is performed on the display corresponding to the display screen. The present invention predicts the optimal aging data suitable for different types of display screens through a model, so that the correction process is more in line with the actual needs of the product. At the same time, it can achieve more accurate, efficient and automated display screen aging, improve the correction accuracy of the display and product quality, and reduce the risks caused by human operation.

[0076] In one embodiment, the aging information determination module 303 is used to: obtain brightness change information, temperature change information and chromaticity change information of the display screen that change with time during the aging process according to the optimal aging data; determine a brightness aging threshold according to the brightness change information; determine a temperature interval in which the temperature is in a stable state and a first duration according to the temperature change information; determine a chromaticity interval in which the chromaticity is in a stable state and a second duration according to the chromaticity change information.

[0077] In one embodiment, the aging information determination module 303 is further used to: based on the target temperature data, obtain the temperature value and the third duration of the display screen in a stable temperature state during the aging process; based on the target chromaticity data, obtain the chromaticity value and the fourth duration of the display screen in a stable chromaticity state during the aging process; if the brightness value in the target brightness data reaches the brightness aging threshold, the temperature value is in the temperature range and the third duration is greater than or equal to the first duration, and the chromaticity value is in the chromaticity area and the fourth duration is greater than or equal to the second duration, then it is determined that the target display data meets the aging information.

[0078] In one embodiment, the monitoring module 301 is used to: monitor the brightness data of the display screen based on the backlight detection module; perform an aging operation on the display screen and accumulate the aging time when the brightness value in the brightness data reaches a preset brightness value; during the aging process of the display screen, monitor the temperature data of the display screen based on the temperature detection module, and monitor the chromaticity data of the display screen based on the chromaticity detection module.

[0079] In one embodiment, the correction module 304 is used to: measure the actual output brightness of the display under multiple input brightnesses to obtain multiple groups of brightness data; perform curve fitting based on the multiple groups of brightness data to obtain an actual brightness response curve; generate a correction curve based on the difference between the actual brightness response curve and a preset ideal curve; and perform a correction operation on the display based on the correction curve.

[0080] In one embodiment, the aging prediction model is trained based on the following method: obtaining actual aging data of various types of display screens; performing data preprocessing on the actual aging data to obtain the sample aging data; and using the sample aging data to train a preset neural network model to obtain the aging prediction model.

[0081] Figure 4 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 4 As shown, the electronic device may include: a processor 410, a communication interface 420, a memory 430 and a communication bus 440, wherein the processor 410, the communication interface 420 and the memory 430 communicate with each other through the communication bus 440. The processor 410 may call the logic instructions in the memory 430 to execute the display correction method, which includes: monitoring the display data of the display screen when the display screen is lit; the display data includes brightness data, temperature data and chromaticity data; inputting the characteristic parameters of the display screen into the aging prediction model to obtain the best aging data of the display screen output by the aging prediction model; the aging prediction model is obtained by training based on sample aging data; according to the best aging data, determining the aging information of the display screen; and performing a correction operation on the display corresponding to the display screen when the target display data obtained by monitoring meets the aging information.

[0082] In addition, the logic instructions in the above-mentioned memory 430 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, etc. Various media that can store program codes.

[0083] On the other hand, the present invention also provides a computer program product, which includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the display correction method provided by the above methods, which includes: when the display screen is lit, monitoring the display data of the display screen; the display data includes brightness data, temperature data and chromaticity data; inputting the characteristic parameters of the display screen into an aging prediction model to obtain the optimal aging data of the display screen output by the aging prediction model; the aging prediction model is trained based on sample aging data; according to the optimal aging data, determining the aging information of the display screen; when the target display data obtained by monitoring meets the aging information, performing a correction operation on the display corresponding to the display screen.

[0084] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, is implemented to execute the display correction method provided by the above-mentioned methods, the method comprising: monitoring the display data of the display screen when the display screen is lit; the display data comprises brightness data, temperature data and chromaticity data; inputting characteristic parameters of the display screen into an aging prediction model to obtain optimal aging data of the display screen output by the aging prediction model; the aging prediction model is obtained by training based on sample aging data; determining aging information of the display screen based on the optimal aging data; and performing a correction operation on the display corresponding to the display screen when the target display data obtained by monitoring meets the aging information.

[0085] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0086] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0087] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A display calibration method, characterized in that: include: When the display screen is turned on, the display data of the display screen is monitored; the display data includes brightness data, temperature data and chromaticity data; Inputting characteristic parameters of the display screen into an aging prediction model to obtain optimal aging data of the display screen output by the aging prediction model; the aging prediction model is obtained by training based on sample aging data; Determining aging information of the display screen according to the optimal aging data; When the target display data obtained through monitoring satisfies the aging information, a correction operation is performed on the display corresponding to the display screen.

2. The display calibration method according to claim 1, characterized in that: Determining the aging information of the display screen according to the optimal aging data includes: According to the optimal aging data, obtaining brightness change information, temperature change information and chromaticity change information of the display screen over time during the aging process; Determining a brightness aging threshold according to the brightness change information; Determine, according to the temperature change information, a temperature interval in which the temperature is in a stable state and a first duration; According to the chromaticity change information, a chromaticity interval in which the chromaticity is in a stable state and a second duration are determined.

3. The display calibration method according to claim 2, characterized in that: The target display data includes target brightness data, target temperature data and target chromaticity data; The target display data satisfies the aging information based on the following determination: Based on the target temperature data, obtaining a temperature value and a third duration of time during which the temperature of the display screen is in a stable state during the aging process; Based on the target chromaticity data, obtaining a chromaticity value and a fourth duration of time when the chromaticity of the display screen is in a stable state during the aging process; If the brightness value in the target brightness data reaches the brightness aging threshold, the temperature value is in the temperature range and the third duration is greater than or equal to the first duration, and the chromaticity value is in the chromaticity area and the fourth duration is greater than or equal to the second duration, it is determined that the target display data meets the aging information.

4. The display calibration method according to claim 1, characterized in that: The display screen is provided with a backlight detection module, a temperature detection module and a chromaticity detection module; The monitoring of the display data of the display screen includes: Based on the backlight detection module, monitor the brightness data of the display screen; When the brightness value in the brightness data reaches a preset brightness value, performing an aging operation on the display screen and accumulating an aging time; During the aging process of the display screen, the temperature data of the display screen is monitored based on the temperature detection module, and the chromaticity data of the display screen is monitored based on the chromaticity detection module.

5. The display calibration method according to claim 1, characterized in that: The performing a correction operation on a display corresponding to the display screen includes: Measuring the actual output brightness of the display under multiple input brightnesses to obtain multiple sets of brightness data; Performing curve fitting according to the plurality of groups of brightness data to obtain an actual brightness response curve; Generating a correction curve according to the difference between the actual brightness response curve and a preset ideal curve; A correction operation is performed on the display according to the correction curve.

6. The display calibration method according to claim 1, characterized in that: The aging prediction model is trained based on the following method: Get actual aging data for various types of displays; Performing data preprocessing on the actual aging data to obtain the sample aging data; The sample aging data is used to train a preset neural network model to obtain the aging prediction model.

7. A display calibration device, characterized in that: include: A monitoring module, used for monitoring display data of the display screen when the display screen is turned on; The display data includes brightness data, temperature data and chromaticity data; A prediction module, used for inputting characteristic parameters of the display screen into an aging prediction model to obtain optimal aging data of the display screen output by the aging prediction model; the aging prediction model is obtained by training based on sample aging data; An aging information determination module, used to determine the aging information of the display screen according to the optimal aging data; The correction module is used to perform a correction operation on a display corresponding to the display screen when the target display data obtained through monitoring meets the aging information.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and running on the processor, characterized in that: When the processor executes the computer program, the display calibration method according to any one of claims 1 to 6 is implemented.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the display calibration method according to any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the display calibration method according to any one of claims 1 to 6 is implemented.

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