A method, apparatus, and electronic device for rapid hot-screen calibration of an LED screen.

Abstract

The present invention discloses a method, device and electronic device for rapid thermal screen correction of an LED screen, the method comprising: determining a target area including m*n light points, an original correction coefficient model coef0 and a first correction coefficient model coef1; determining a first cross line model coefdelt=coef1 / coef0; obtaining a first average value model model1 after mean filtering processing; obtaining a second average value model model2 according to the first average value model model1; obtaining a thermal screen correction coefficient coefhot according to the second average value model model2, a cold screen correction coefficient model coefcold and a preset cross line intensity coefficient, so as to perform thermal screen correction on the LED screen. The method can eliminate the influence of ambient temperature on screen correction, does not require multiple thermal screen acquisitions, consumes less time, improves the thermal screen correction rate, solves the problem of inconsistent temperatures between boxes in single box correction, and also removes the influence of edge boxes when building the target area, thereby improving the accuracy of the correction result.

Description

Technical Field

[0001] The present invention relates to the technical field of LED display screen correction, and in particular to a method, a device and an electronic device for quickly correcting a hot screen of an LED screen. Background Art

[0002] LED display screens can have inconsistent local temperatures due to heat generated by lamp beads, circuits, driver chips, memory devices and power supplies, resulting in reddish or blueish areas in some areas, seriously affecting the screen display effect. Due to the cabinet structure or ambient light factors, the lit LED display screen has different temperatures at different locations in the cabinet, repeating the cabinet or module structure. The brightness of LED lights varies at different temperatures, the higher the temperature, the lower the brightness, with red lights being the most obvious. When the screen temperature difference exceeds 2°C, the human eye can see the brightness difference.

[0003] At present, the mainstream calibration method is to adjust the brightness of the light point in the screen to 255, and achieve thermal equilibrium for calibration. However, this calibration method is usually a single-box calibration, and it is difficult to ensure the temperature consistency between different boxes. The box temperature collected by a single box is inconsistent with the actual use temperature, especially the edge of the box. The temperature difference between the edge box and other boxes is large, resulting in low calibration accuracy. In addition, due to different environments, the collected temperature is different from the screen use temperature. If multiple thermal screen collections are performed, it will take more than ten minutes to half an hour, which seriously affects production efficiency. Alternatively, the existing technology can always use a dedicated infrared temperature sensor to measure the temperature, but the expensive instrument leads to high calibration costs.

[0004] Therefore, people in this field are in urgent need of finding a new technical solution to solve the above problems. Summary of the invention

[0005] In order to overcome the problems existing in the related art, the present invention discloses a method, a device and an electronic device for quickly correcting the thermal screen of an LED screen.

[0006] According to a first aspect of the disclosed embodiment of the present invention, a method for rapid thermal screen correction of an LED screen is provided, the method comprising:

[0007] Determine a cold screen correction coefficient model coefcold composed of the cold screen correction coefficients of the screen to be corrected and all the lamp points in the screen to be corrected;

[0008] Selecting a target area including m*n lamp points in the screen to be corrected, and an original correction coefficient model coef0 composed of original correction coefficients of all lamp points in the target area and a first correction coefficient model coef1 composed of first correction coefficients of all lamp points in the target area when the lamp points are at a preset grayscale value and reach a thermally stable state;

[0009] Determine a first cross-line model coefdelt=coef1 / coef0 for all light points in the target area according to the original correction coefficient model coef0 and the first correction coefficient model coef1;

[0010] Obtain a second cross-line model coefdelt2 of all light points in the remaining boxes after removing the edge boxes from the target area;

[0011] According to the second cross-line model coefdelt2, the original average value model model0 of all the light points in all the remaining boxes and the first average value model model1 after the original average value model model0 is subjected to the mean filtering process;

[0012] Determine the average value of correction coefficients of all lamps in the remaining boxes according to the first average value model1, and determine the second average value model model2 of all lamps in the remaining boxes according to the correction coefficients of all lamps in the remaining boxes and the average value of the correction coefficients;

[0013] The hot screen correction coefficient coefhot is obtained according to the second average value model model2, the cold screen correction coefficient model coefcold and the preset cross line intensity coefficient to perform hot screen correction on the LED screen.

[0014] Optionally, a target area including m*n lamp points is selected in the screen to be corrected, and an original correction coefficient model coef0 composed of original correction coefficients of all lamp points in the target area and a first correction coefficient model coef1 composed of first correction coefficients of all lamp points in the target area when the lamp points are at a preset grayscale value and reach a thermally stable state, including:

[0015] Selecting a target area containing m*n light points in the screen to be corrected;

[0016] Obtain an original correction coefficient model coef0 composed of original correction coefficients of all light points in the target area;

[0017] The grayscale value of the light point in the target area is adjusted to 255, and when it is determined that the target area reaches a thermally stable state, a first correction coefficient model coef1 of the target area is obtained.

[0018] Optionally, the method further includes:

[0019] After the grayscale value of the light point in the target area reaches 255, the brightness value of the target area is measured by a light gun;

[0020] Measuring the temperature value of the target area by a temperature gun;

[0021] If the brightness value and the temperature value can remain unchanged within a preset time period, it is determined that the target area has reached a thermally stable state.

[0022] Optionally, each box in the target area contains x*y light points, and after removing the edge boxes, the second cross-line model coefdelt2 composed of all the light points in the remaining boxes is a matrix of (m-2x)*(n-2y).

[0023] Optionally, the method of calculating the original average value model model0 of all remaining boxes and the first average value model model1 after the original average value model model0 is subjected to mean filtering according to the second cross line model coefdelt2 includes:

[0024] According to the second cross-line model coefdelt2, obtain the cross-line correction coefficient model coefdelt` of all the light points in each remaining box;

[0025] Add the cross-line correction coefficient model coefdelt` of all remaining boxes and divide it by the number of remaining boxes to obtain the original average value model model0 of all remaining boxes;

[0026] Through the mean filtering method, for each correction coefficient in the original average value model model0, the average value of a preset number of correction coefficients around the correction coefficient is obtained in the matrix of model0, and the value of the average value is used as the value of the correction coefficient to obtain the first average value model model1 after mean filtering processing.

[0027] Optionally, determining the average correction coefficient of all lamp points in the remaining boxes according to the first average value model model1, and determining the second average value model model2 of all lamp points in the remaining boxes according to the correction coefficients of all lamp points in the remaining boxes and the average correction coefficient value, includes:

[0028] Sum all the correction coefficients in the first mean model model1 to obtain a SUM value;

[0029] Divide the SUM value by the number of all light points in the remaining box (m-2x)*(n-2y) to obtain the correction coefficient average value M;

[0030] Determine a preset adjustment coefficient, the product of the preset adjustment coefficient and the correction coefficient average value M is 1;

[0031] The correction coefficient of each lamp point in the remaining boxes is multiplied by the preset adjustment coefficient to obtain a second average value model model2 of all the lamp points in the remaining boxes.

[0032] Optionally, the step of obtaining a heat screen correction coefficient coefhot according to the second average value model model2, a cold screen correction coefficient model coefcold and a preset cross line intensity coefficient to perform heat screen correction on the LED screen includes:

[0033] Determine the preset temperature value field ambient temperature corresponding to the second average value model model2;

[0034] If the on-site ambient temperature is greater than or equal to the preset temperature value, a first preset coefficient is used as the cross-line intensity coefficient, and the value of the first preset coefficient is greater than 1;

[0035] If the on-site ambient temperature is lower than the preset temperature value, a second preset coefficient is used as the cross-line intensity coefficient, and the value of the second preset coefficient is lower than 1;

[0036] According to the second average value model model2, the cold screen correction coefficient model coefcold and the preset cross line intensity coefficient k, the hot screen correction coefficient coefhot=k*model2*coefcold is obtained to perform hot screen correction on the LED screen.

[0037] According to a second aspect of the disclosed embodiment of the present invention, a rapid heat screen correction device for an LED screen is provided, the device comprising:

[0038] A cold screen correction determination module determines a cold screen correction coefficient model coefcold composed of the cold screen correction coefficients of the screen to be corrected and all the light points in the screen to be corrected;

[0039] a correction coefficient model determination module, connected to the cold screen correction determination module, selecting a target area including m*n lamp points in the screen to be corrected, and an original correction coefficient model coef0 composed of original correction coefficients of all lamp points in the target area and a first correction coefficient model coef1 composed of first correction coefficients of all lamp points in the target area when the lamp points are at a preset grayscale value and reach a thermally stable state;

[0040] A first cross-line model determination module is connected to the correction coefficient model determination module, and determines a first cross-line model coefdelt=coef1 / coef0 of all light points in the target area according to the original correction coefficient model coef0 and the first correction coefficient model coef1;

[0041] A second cross-line model determination module, connected to the first cross-line model determination module, obtains a second cross-line model coefdelt2 of all light points in the remaining boxes after removing the edge boxes from the target area;

[0042] A first average value model determination module is connected to the second cross line model determination module, and calculates the original average value model model0 of all light points in all remaining boxes according to the second cross line model coefdelt2, and a first average value model model1 after the original average value model model0 is subjected to mean filtering processing;

[0043] A second average value model determination module is connected to the first average value model determination module, determines the average value of correction coefficients of all lamps in the remaining boxes according to the first mean model model1, and determines a second average value model model2 of all lamps in the remaining boxes according to the correction coefficients of all lamps in the remaining boxes and the average value of the correction coefficients;

[0044] The thermal screen correction module is connected to the second average value model determination module, and obtains the thermal screen correction coefficient coefhot according to the second average value model model2, the cold screen correction coefficient model coefcold and the preset cross line intensity coefficient to perform thermal screen correction on the LED screen.

[0045] Optionally, the correction coefficient model determination module includes:

[0046] A target area determination unit, which selects a target area including m*n light points in the screen to be corrected;

[0047] An original coefficient determination unit, connected to the target area determination unit, obtains an original correction coefficient model coef0 composed of original correction coefficients of all lamp points in the target area;

[0048] The correction coefficient model determination unit is connected to the original coefficient determination unit, adjusts the grayscale value of the light point in the target area to 255, and when it is determined that the target area reaches a thermally stable state, obtains a first correction coefficient model coef1 of the target area.

[0049] Optionally, the thermal screen correction module includes:

[0050] A temperature determination unit, determining a preset temperature value on-site ambient temperature corresponding to the second average value model model2;

[0051] a first intensity coefficient determining unit connected to the temperature determining unit, and using a first preset coefficient as the cross-line intensity coefficient if the on-site ambient temperature is greater than or equal to the preset temperature value, wherein the value of the first preset coefficient is greater than 1;

[0052] a second intensity coefficient determining unit connected to the temperature determining unit, and using a second preset coefficient as the cross-line intensity coefficient if the on-site ambient temperature is lower than the preset temperature value, wherein the value of the second preset coefficient is lower than 1;

[0053] The thermal screen correction unit is respectively connected to the first intensity coefficient determination unit and the second intensity coefficient determination unit, and obtains the thermal screen correction coefficient coefhot = k*model2*coefcold according to the second average value model model2, the cold screen correction coefficient model coefcold and the preset cross line intensity coefficient k to perform thermal screen correction on the LED screen.

[0054] According to a third aspect of the disclosed embodiments of the present invention, there is provided an electronic device, comprising a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other via the communication bus;

[0055] A memory for storing instructions executable by the processor;

[0056] A processor, configured to implement the steps of the method for rapid thermal screen correction of an LED screen according to the first aspect of the embodiment disclosed in the present invention when executing instructions stored in the memory;

[0057] In summary, the present invention discloses a method, device and electronic device for rapid thermal screen correction of an LED screen, the method comprising: determining a target area including m*n light points, an original correction coefficient model coef0 and a first correction coefficient model coef1; determining a first cross line model coefdelt=coef1 / coef0; obtaining a first average value model model1 after mean filtering processing; obtaining a second average value model model2 according to the first mean model model1; obtaining a thermal screen correction coefficient coefhot according to the second average value model model2, a cold screen correction coefficient model coefcold and a preset cross line intensity coefficient, so as to perform thermal screen correction on the LED screen.

[0058] By building a target area containing multiple boxes from the screen to be corrected and obtaining the thermal screen correction coefficient according to the correction coefficient of the light point in the target area, the screen to be corrected can be corrected in the whole screen, and the crosshair intensity coefficient related to the ambient temperature and the screen temperature is set during the correction process to eliminate the influence of the ambient temperature on the screen correction, and it is not necessary to collect the thermal screen multiple times, which is less time-consuming, and the thermal screen correction rate is improved, and the problem of inconsistent temperature between boxes in single-box correction is solved. In addition, when building the target area, the influence of the edge boxes is also removed, and the accuracy of the correction result is improved. In addition, the correction method in the embodiment disclosed by the present invention does not need to use expensive instruments, which reduces the cost of correction.

[0059] Other features and advantages disclosed in the present invention will be described in detail in the following detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] The accompanying drawings are used to provide a further understanding of the present disclosure and constitute a part of the specification. Together with the following specific embodiments, they are used to explain the present disclosure but do not constitute a limitation of the present disclosure. In the accompanying drawings:

[0061] Figure 1 is a flow chart of a method for rapid thermal screen correction of an LED screen according to an exemplary embodiment;

[0062] Figure 2 is based on Figure 1 A flowchart of a first correction coefficient model determination method is shown;

[0063] Figure 3 is based on Figure 1 A flow chart of a method for determining a thermal screen correction coefficient is shown;

[0064] Figure 4 is a structural block diagram of a fast heat screen correction device for an LED screen according to an exemplary embodiment;

[0065] Figure 5 is based on Figure 4 A structural block diagram of a correction coefficient model determination module is shown;

[0066] Figure 6 is based on Figure 4 A structural block diagram of a thermal screen correction module is shown;

[0067] Figure 7 The diagram is a schematic structural diagram of an electronic device according to an exemplary embodiment. DETAILED DESCRIPTION

[0068] The specific embodiments disclosed in the present invention are described in detail below in conjunction with the accompanying drawings. It should be understood that the specific embodiments described herein are only used to illustrate and explain the present disclosure, and are not used to limit the present disclosure.

[0069] Figure 1 is a flow chart of a method for rapid thermal screen correction of an LED screen according to an exemplary embodiment. Figure 1 As shown, the method includes:

[0070] In step 101, a cold screen correction coefficient model coefcold composed of the cold screen correction coefficients of the screen to be corrected and all the lamp points in the screen to be corrected is determined.

[0071] For example, due to the structural characteristics of the LED screen, the temperatures at different positions on the display screen are not the same, that is, there will be temperature inconsistencies between different boxes. As the temperature rises, the brightness values ​​of the lamps in the LED screen will gradually decrease in an approximately linear manner (usually referred to as the hot screen effect). Among the three types of lamps R, G, and B, the red lamps (R lamps) are the most serious. In the disclosed embodiment of the present invention, a method for quickly correcting a screen under a hot screen state is provided, wherein a cold screen correction coefficient model coef cold is determined by determining the cold screen correction coefficient of each lamp in the screen to be corrected according to a conventional cold screen correction method. The cold screen state is the state of the LED screen at room temperature. For example, if the screen with correction contains p*q lamps, the cold screen correction coefficient model coef cold is a p*q matrix.

[0072] In step 102, a target area including m*n lamp points is selected in the screen to be corrected, as well as an original correction coefficient model coef0 composed of the original correction coefficients of all the lamp points in the target area and a first correction coefficient model coef1 composed of the first correction coefficients of all the lamp points in the target area when the lamp points are at a preset grayscale value and reach a thermally stable state.

[0073] For example, after determining the screen to be calibrated, a target area consisting of several boxes is selected from it. Generally, the boxes in the screen to be calibrated are screens built with target boxes of the same model. The target area is used to obtain the original correction coefficient model coef0 required for cold screen calibration and the first correction coefficient model coef1 in the thermal stable state.

[0074] Specifically, Figure 2 is based on Figure 1 A flowchart of a first correction coefficient model determination method is shown in FIG. Figure 2 As shown, step 102 includes:

[0075] In step 1021, a target area including m*n light points is selected in the screen to be corrected.

[0076] The target area includes at least 3*3 boxes.

[0077] For example, the target area includes m*n light points, where m is the value of the width of the target area, which also means that each row in the target area includes m light points, and n is the value of the height of the target area, which also means that each column in the target area includes n light points. In addition, it should be noted that since the influence of the edge boxes in the target area needs to be removed during the subsequent calibration process, the target area includes at least 9 boxes, that is, the target area is at least a screen area containing 3*3 boxes.

[0078] In step 1022, an original correction coefficient model coef0 composed of original correction coefficients of all light points in the target area is obtained.

[0079] For example, the original correction coefficient model coef0 of the target area is the original correction coefficient of all lamp points in the target area in the cold screen state. It can be understood that coef0 is an m*n matrix.

[0080] Among them, in the process of collecting correction coefficients, the CCM series high-speed, high-precision cameras can be used for rapid collection to prevent temperature differences caused by temperature reduction during the collection process, which reduces the accuracy of the collected correction coefficients.

[0081] In step 1023, the grayscale value of the light point in the target area is adjusted to 255, and when it is determined that the target area reaches a thermally stable state, a first correction coefficient model coef1 of the target area is obtained.

[0082] Specifically, after the grayscale value of the light point in the target area reaches 255, the brightness value of the target area is measured by a light gun; the temperature value of the target area is measured by a temperature gun; if the brightness value and the temperature value can remain unchanged within a preset time period, it is determined that the target area has reached a thermally stable state.

[0083] For example, the thermally stable state is a state in which the brightness value measured by the light gun tends to remain unchanged and the temperature measured by the temperature gun tends to remain unchanged when the screen is lit for a long enough time. That is, in the embodiment disclosed in the present invention, if the temperature value measured by the temperature gun and the brightness value measured by the light gun remain unchanged within a preset time period, or the floating value is less than the preset value range, it is determined that the target area is in a thermally stable state. At this time, the first correction coefficient model coef1 of all the lamp points in the target area is collected, and coef1 is also an m*n matrix.

[0084] In step 103, a first cross-line model coefdelt=coef1 / coef0 of all the light points in the target area is determined according to the original correction coefficient model coef0 and the first correction coefficient model coef1.

[0085] For example, it can be understood that the first cross-line model is also an m*n matrix, which is used to solve the problem of cross-lines generated in the box due to the influence of the box structure (formed due to the difference in brightness values ​​between the light points at the edge). When using the cross-line model for correction, boxes of the same model or specification use the same cross-line model.

[0086] In step 104, a second cross-line model coefdelt2 of all light points in the remaining boxes after removing the edge boxes from the target area is obtained.

[0087] For example, in order to remove the influence of the edge boxes, in the embodiment disclosed in the present invention, the correction coefficients of the light points of the edge boxes in the first cross-line model coefdelt are removed, and the correction coefficients of the light points in the remaining boxes are used as the second cross-line model coefdelt2.

[0088] Specifically, each box in the target area contains x*y light points, and after removing the edge boxes, the second cross-line model coefdelt2 composed of all the light points in the remaining boxes is a matrix of (m-2x)*(n-2y).

[0089] It should be noted that the edge box refers to the box at the edge of the target area. If the target area contains 3*3 and boxes, the remaining box after removing the edge box is only one box located in the center area. For example, the size of each box is x*y, that is, the value of the box width is x, each row contains x light points, the value of the box height is y, and each column contains y light points. The second cross-line model coefdelt2 of the remaining boxes after removing the edge boxes in the target area containing 3*3 and boxes is a matrix of (m-2x)*(n-2y).

[0090] In step 105, the original average value model model0 of all the light points in all the remaining boxes and the first average value model model1 after the original average value model model0 is subjected to mean filtering are calculated according to the second cross line model coefdelt2.

[0091] Specifically, the cross line correction coefficient model coefdelt` of all the light points in each remaining box is obtained according to the second cross line model coefdelt2; the cross line correction coefficient models coefdelt` of all the remaining boxes are added and divided by the number of the remaining boxes to obtain the original average value model model0 of all the remaining boxes; through the mean filtering method, for each correction coefficient in the original average value model model0, the average value of a preset number of correction coefficients around the correction coefficient is obtained in the matrix of model0, the value of the average value is used as the value of the correction coefficient, and the first average value model model1 after mean filtering is obtained.

[0092] For example, after removing the edge boxes, the original average model model0 of all remaining boxes is determined according to the remaining z boxes and the second cross-line model coefdelt2. Among them, the original average model model0 is based on the box, and the x*y cross-line correction coefficient models coefdelt` in each box are obtained (that is, the second cross-line model coefdelt2 is split to obtain the cross-line correction coefficient model coefdelt` of each box size of x*y), and the cross-line correction coefficient model coefdelt` composed of all x*y correction coefficients is added, and divided by the number of remaining boxes z, to obtain the original average model model0 of each remaining box.

[0093] In addition, the original average value model model0 is subjected to mean filtering processing to obtain the first average value model model1. Mean filtering processing is a relatively commonly used filtering algorithm. During filtering, the sampling values ​​of N periods are averaged. When the value of N is large, the filtered signal is relatively smooth, but the sensitivity is poor; on the contrary, when the value of N is small, the filtering smoothing effect is poor, but the sensitivity is good. In the disclosed embodiment of the present invention, for each correction coefficient in the original average value model model0, a preset number (i.e., N) of correction coefficients adjacent to the correction coefficient (e.g., correction coefficient a) and located around the correction coefficient are selected to calculate the average value, and the value of the correction coefficient (i.e., correction coefficient a) at the center of the N correction coefficients is replaced with the value of the average value, until all correction coefficients are replaced, that is, the mean filtering processing of the original average value model model0 is completed, and the first average value model model1 is obtained.

[0094] In step 106, the correction coefficient average value of all lamps in the remaining boxes is determined according to the first average value model1, and the second average value model model2 of all lamps in the remaining boxes is determined according to the correction coefficients of all lamps in the remaining boxes and the correction coefficient average value.

[0095] Specifically, all correction coefficients in the first mean model model1 are summed to obtain the SUM value; the SUM value is divided by the number of all light points in the remaining boxes (m-2x)*(n-2y) to obtain the correction coefficient average value M; the preset adjustment coefficient is determined, and the product of the preset adjustment coefficient and the correction coefficient average value M is 1; the correction coefficient of each light point in the remaining boxes is multiplied by the preset adjustment coefficient to obtain the second mean value model model2 of all light points in the remaining boxes.

[0096] For example, after obtaining the first mean value model model1 of all the lamp points in the remaining boxes, the correction coefficients corresponding to each lamp point are summed to obtain the SUM value according to the number of lamp points in the remaining boxes (m-2x)*(n-2y) and the correction coefficients corresponding to each lamp point in the first mean value model1, and then the SUM value is divided by the number of lamp points (m-2x)*(n-2y) to obtain the correction coefficient average value M. The second mean value model model2 of all the lamp points in the remaining boxes can be obtained through the correction coefficient average value M. The specific principle is: the correction coefficient average value M is adjusted to 1, and the preset adjustment coefficient is determined, that is, when the product of the correction coefficient average value and the preset adjustment coefficient is 1, at this time, the second mean value model model2 of all the lamp points in the remaining boxes is obtained by multiplying the correction coefficient of each lamp point by the preset adjustment coefficient.

[0097] In step 107, a thermal screen correction coefficient coefhot is obtained according to the second average value model model2, the cold screen correction coefficient model coefcold and a preset cross line intensity coefficient to perform thermal screen correction on the LED screen.

[0098] For example, due to the influence of the on-site environment (mainly including: screen temperature, ambient temperature, ambient humidity, etc., among which the screen temperature has the main influence, followed by ambient temperature), the value of the second average value model model2 will deviate. Therefore, in the embodiment disclosed in the present invention, the second average value model model2 is corrected by the cross line intensity coefficient, and then the hot screen correction coefficient coefhot is obtained according to the cold screen correction coefficient model coefcold.

[0099] Figure 3 is based on Figure 1 A flow chart of a method for determining a thermal screen correction coefficient is shown in FIG. Figure 3 As shown, step 107 includes:

[0100] In step 1071, the preset temperature value field environment temperature corresponding to the second average value model model2 is determined.

[0101] In step 1072, if the on-site ambient temperature is greater than or equal to the preset temperature value, the first preset coefficient is used as the cross-line intensity coefficient.

[0102] The value of the first preset coefficient is greater than 1.

[0103] In step 1073, if the on-site ambient temperature is lower than the preset temperature value, the second preset coefficient is used as the cross-line intensity coefficient.

[0104] The value of the second preset coefficient is less than 1.

[0105] In step 1074, a thermal screen correction coefficient coefhot=k*model2*coefcold is obtained according to the second average value model model2, the cold screen correction coefficient model coefcold and the preset cross line intensity coefficient k to perform thermal screen correction on the LED screen.

[0106] For example, the cross-line intensity coefficient k is related to the preset temperature value and the ambient temperature, and usually includes a first preset coefficient greater than 1 and a second preset coefficient less than 1. When the on-site ambient temperature is greater than or equal to the preset temperature value, the first preset coefficient greater than 1 is selected as the cross-line intensity coefficient. When the on-site ambient temperature is less than the preset temperature value, the second preset coefficient less than 1 is selected as the cross-line intensity coefficient.

[0107] In addition, multiple values ​​of the crosshair intensity coefficient can also be set. For example, when the on-site ambient temperature is greater than or equal to the preset temperature value, a first preset coefficient greater than 1 is selected as the crosshair intensity coefficient. At this time, the first preset value greater than 1 includes multiple values: 1.9, 1.8, 1.7, ... 1.1. According to the difference obtained by subtracting the preset temperature value from the on-site ambient temperature and the first preset relationship, the corresponding crosshair intensity coefficient is selected from the above 1.9, 1.8, 1.7, ... 1.1. When the on-site ambient temperature is less than the preset temperature value, a second preset coefficient less than 1 is selected as the crosshair intensity coefficient. At this time, the second preset value less than 1 includes multiple values: 0.9, 0.8, 0.7, ... 0.1. According to the difference obtained by subtracting the on-site ambient temperature from the preset temperature value and the second preset relationship, the corresponding crosshair intensity coefficient is selected from the above 0.9, 0.8, 0.7, ... 0.1.

[0108] Figure 4 is a structural block diagram of a fast thermal screen correction device for an LED screen according to an exemplary embodiment. Figure 4 As shown, the device 400 includes:

[0109] A cold screen correction determination module 410 determines a cold screen correction coefficient model coefcold composed of the cold screen correction coefficients of the screen to be corrected and all the light points in the screen to be corrected;

[0110] A correction coefficient model determination module 420 is connected to the cold screen correction determination module 410, and selects a target area including m*n lamp points in the screen to be corrected, and an original correction coefficient model coef0 composed of original correction coefficients of all lamp points in the target area and a first correction coefficient model coef1 composed of first correction coefficients of all lamp points in the target area when the lamp points are at a preset grayscale value and reach a thermally stable state;

[0111] A first cross-line model determination module 430 is connected to the correction coefficient model determination module 420, and determines a first cross-line model coefdelt=coef1 / coef0 of all light points in the target area according to the original correction coefficient model coef0 and the first correction coefficient model coef1;

[0112] A second cross-line model determination module 440 is connected to the first cross-line model determination module 430, and obtains a second cross-line model coefdelt2 of all light points in the remaining box after removing the edge box of the target area;

[0113] A first average value model determination module 450 is connected to the second cross line model determination module 440, and calculates the original average value model model0 of all the light points in all the remaining boxes according to the second cross line model coefdelt2, and the first average value model model1 after the original average value model model0 is subjected to mean filtering processing;

[0114] A second average value model determining module 460 is connected to the first average value model determining module 450, and determines an average value of correction coefficients of all lamp points in the remaining boxes according to the first average value model model1, and determines a second average value model model2 of all lamp points in the remaining boxes according to the correction coefficients of all lamp points in the remaining boxes and the average value of the correction coefficients;

[0115] The thermal screen correction module 470 is connected to the second average model determination module 460, and obtains the thermal screen correction coefficient coefhot according to the second average model model2, the cold screen correction coefficient model coefcold and the preset cross line intensity coefficient to perform thermal screen correction on the LED screen.

[0116] Figure 5 is based on Figure 4 A structural block diagram of a correction coefficient model determination module is shown in FIG. Figure 5 As shown, the correction coefficient model determination module 420 includes:

[0117] A target area determination unit 421 selects a target area including m*n light points in the screen to be corrected;

[0118] The original coefficient determination unit 422 is connected to the target area determination unit 421, and obtains the original correction coefficient model coef0 composed of the original correction coefficients of all the lamp points in the target area;

[0119] The correction coefficient model determination unit 423 is connected to the original coefficient determination unit 422, adjusts the grayscale value of the light point in the target area to 255, and when it is determined that the target area reaches a thermally stable state, obtains the first correction coefficient model coef1 of the target area.

[0120] Figure 6 is based on Figure 4 A structural block diagram of a thermal screen correction module is shown in FIG. Figure 6 As shown, the thermal screen correction module 470 includes:

[0121] The temperature determination unit 471 determines the preset temperature value field environment temperature corresponding to the second average value model model2;

[0122] A first intensity coefficient determining unit 472 is connected to the temperature determining unit 471, and if the on-site ambient temperature is greater than or equal to the preset temperature value, a first preset coefficient is used as the cross-line intensity coefficient, and the value of the first preset coefficient is greater than 1;

[0123] A second intensity coefficient determining unit 473 is connected to the temperature determining unit 471. If the on-site ambient temperature is lower than the preset temperature value, a second preset coefficient is used as the cross-line intensity coefficient, and the value of the second preset coefficient is lower than 1.

[0124] The thermal screen correction unit 474 is respectively connected to the first intensity coefficient determination unit 472 and the second intensity coefficient determination unit 473, and obtains the thermal screen correction coefficient coefhot = k*model2*coefcold according to the second average value model model2, the cold screen correction coefficient model coefcold and the preset cross line intensity coefficient k to perform thermal screen correction on the LED screen.

[0125] Figure 7 is a schematic diagram of the structure of an electronic device according to an exemplary embodiment. Figure 7 As shown, it includes a processor 001, a communication interface 002, a memory 003 and a communication bus 004, wherein the processor 001, the communication interface 002, and the memory 003 communicate with each other through the communication bus 004.

[0126] Memory 003, used for storing computer programs;

[0127] The processor 001 is used to implement the above-mentioned rapid thermal screen correction method of the LED screen when executing the program stored in the memory 003. The method includes:

[0128] Determine a cold screen correction coefficient model coefcold composed of the cold screen correction coefficients of the screen to be corrected and all the lamp points in the screen to be corrected;

[0129] Select a target area including m*n lamp points in the screen to be corrected, and an original correction coefficient model coef0 composed of original correction coefficients of all lamp points in the target area and a first correction coefficient model coef1 composed of first correction coefficients of all lamp points in the target area when the lamp points are at a preset grayscale value and reach a thermally stable state;

[0130] Determine the first cross-line model coefdelt=coef1 / coef0 of all the light points in the target area according to the original correction coefficient model coef0 and the first correction coefficient model coef1;

[0131] Get the second cross-line model coefdelt2 of all the light points in the remaining boxes after removing the edge boxes in the target area;

[0132] According to the second cross-line model coefdelt2, the original average value model model0 of all the light points in all the remaining boxes and the first average value model model1 after the original average value model model0 is subjected to the mean filtering process;

[0133] Determine the average value of correction coefficients of all lamps in the remaining boxes according to the first average value model1, and determine the second average value model model2 of all lamps in the remaining boxes according to the correction coefficients of all lamps in the remaining boxes and the average value of the correction coefficients;

[0134] The hot screen correction coefficient coefhot is obtained according to the second average value model model2, the cold screen correction coefficient model coefcold and the preset cross line intensity coefficient to perform hot screen correction on the LED screen.

[0135] In summary, the present invention discloses a method, device and electronic device for rapid thermal screen correction of an LED screen, the method comprising: determining a target area including m*n light points, an original correction coefficient model coef0 and a first correction coefficient model coef1; determining a first cross line model coefdelt=coef1 / coef0; obtaining a first average value model model1 after mean filtering processing; obtaining a second average value model model2 according to the first mean model model1; obtaining a thermal screen correction coefficient coefhot according to the second average value model model2, a cold screen correction coefficient model coefcold and a preset cross line intensity coefficient, so as to perform thermal screen correction on the LED screen.

[0136] By building a target area containing multiple boxes from the screen to be corrected and obtaining the thermal screen correction coefficient according to the correction coefficient of the light point in the target area, the screen to be corrected can be corrected in the whole screen, and the crosshair intensity coefficient related to the ambient temperature and the screen temperature is set during the correction process to eliminate the influence of the ambient temperature on the screen correction, and it is not necessary to collect the thermal screen multiple times, which is less time-consuming, and the thermal screen correction rate is improved, and the problem of inconsistent temperature between boxes in single-box correction is solved. In addition, when building the target area, the influence of the edge boxes is also removed, and the accuracy of the correction result is improved. In addition, the correction method in the embodiment disclosed by the present invention does not need to use expensive instruments, which reduces the cost of correction.

[0137] The preferred embodiments of the present disclosure are described in detail above in conjunction with the accompanying drawings; however, the present disclosure is not limited to the specific details in the above embodiments. Within the technical concept of the present disclosure, a variety of simple modifications can be made to the technical solution of the present disclosure, and these simple modifications all fall within the protection scope of the present disclosure.

[0138] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the present disclosure will not further describe various possible combinations.

[0139] In addition, various embodiments of the present disclosure may be arbitrarily combined, and as long as they do not violate the concept of the present disclosure, they should also be regarded as the contents disclosed by the present disclosure.

Claims

1. A rapid thermal screen correction method for an LED screen, characterized in that: The method comprises: Determine a cold screen correction coefficient model coefcold composed of the cold screen correction coefficients of the screen to be corrected and all the lamp points in the screen to be corrected; Selecting a target area including m*n lamp points in the screen to be corrected, and an original correction coefficient model coef0 composed of original correction coefficients of all lamp points in the target area and a first correction coefficient model coef1 composed of first correction coefficients of all lamp points in the target area when the lamp points are at a preset grayscale value and reach a thermally stable state; Determine a first cross-line model coefdelt=coef1 / coef0 for all light points in the target area according to the original correction coefficient model coef0 and the first correction coefficient model coef1; Obtain a second cross-line model coefdelt2 of all light points in the remaining boxes after removing the edge boxes from the target area; According to the second cross-line model coefdelt2, the original average value model model0 of all the light points in all the remaining boxes and the first average value model model1 after the original average value model model0 is subjected to the mean filtering process; Determine the average value of correction coefficients of all lamps in the remaining boxes according to the first average value model1, and determine the second average value model model2 of all lamps in the remaining boxes according to the correction coefficients of all lamps in the remaining boxes and the average value of the correction coefficients; Obtaining a heat screen correction coefficient coefhot according to the second average value model model2, a cold screen correction coefficient model coefcold and a preset cross line intensity coefficient, so as to perform heat screen correction on the LED screen; The method of obtaining the thermal screen correction coefficient coefhot according to the second average value model model2, the cold screen correction coefficient model coefcold and the preset cross line intensity coefficient to perform thermal screen correction on the LED screen includes: determining the field ambient temperature of the preset temperature value corresponding to the second average value model model2; if the field ambient temperature is greater than or equal to the preset temperature value, using the first preset coefficient as the cross line intensity coefficient, and the value of the first preset coefficient is greater than 1; if the field ambient temperature is less than the preset temperature value, using the second preset coefficient as the cross line intensity coefficient, and the value of the second preset coefficient is less than 1; obtaining the thermal screen correction coefficient coefhot = k*model2*coefcold according to the second average value model model2, the cold screen correction coefficient model coefcold and the preset cross line intensity coefficient k to perform thermal screen correction on the LED screen.

2. The rapid thermal screen correction method of the LED screen according to claim 1, characterized in that: The target area including m*n lamp points is selected in the screen to be corrected, and the original correction coefficient model coef0 composed of the original correction coefficients of all lamp points in the target area and the first correction coefficient model coef1 composed of the first correction coefficients of all lamp points in the target area when the lamp points are at a preset grayscale value and reach a thermally stable state, include: Selecting a target area containing m*n light points in the screen to be corrected; Obtain an original correction coefficient model coef0 composed of original correction coefficients of all light points in the target area; The grayscale value of the light point in the target area is adjusted to 255, and when it is determined that the target area reaches a thermally stable state, a first correction coefficient model coef1 of the target area is obtained.

3. The rapid thermal screen correction method of the LED screen according to claim 2, characterized in that: The method further comprises: After the grayscale value of the light point in the target area reaches 255, the brightness value of the target area is measured by a light gun; Measuring the temperature value of the target area by a temperature gun; If the brightness value and the temperature value can remain unchanged within a preset time period, it is determined that the target area has reached a thermally stable state.

4. The rapid thermal screen correction method of the LED screen according to claim 1, characterized in that: Each box in the target area contains x*y light points, and after removing the edge boxes, the second cross-line model coefdelt2 composed of all the light points in the remaining boxes is a matrix of (m-2x)*(n-2y).

5. The rapid thermal screen correction method of the LED screen according to claim 1, characterized in that: The method of calculating the original average value model model0 of all remaining boxes and the first average value model model1 after the original average value model model0 is subjected to mean filtering according to the second cross line model coefdelt2 includes: According to the second cross-line model coefdelt2, obtain the cross-line correction coefficient model coefdelt` of all the light points in each remaining box; Add the cross-line correction coefficient model coefdelt` of all remaining boxes and divide it by the number of remaining boxes to obtain the original average model model0 of all remaining boxes; Through the mean filtering method, for each correction coefficient in the original average value model model0, the average value of a preset number of correction coefficients around the correction coefficient is obtained in the matrix of model0, and the value of the average value is used as the value of the correction coefficient to obtain the first average value model model1 after mean filtering processing.

6. The rapid thermal screen correction method of the LED screen according to claim 4, characterized in that: The method of determining the average correction coefficient of all lamps in the remaining boxes according to the first average value model1, and determining the second average value model model2 of all lamps in the remaining boxes according to the correction coefficients of all lamps in the remaining boxes and the average correction coefficient value, comprises: Sum all the correction coefficients in the first mean model model1 to obtain a SUM value; Divide the SUM value by the number of all light points in the remaining box (m-2x)*(n-2y) to obtain the correction coefficient average value M; Determine a preset adjustment coefficient, the product of the preset adjustment coefficient and the correction coefficient average value M is 1; The correction coefficient of each lamp point in the remaining boxes is multiplied by the preset adjustment coefficient to obtain a second average value model model2 of all the lamp points in the remaining boxes.

7. A rapid thermal screen correction device for an LED screen, characterized in that: The device comprises: A cold screen correction determination module determines a cold screen correction coefficient model coefcold composed of the cold screen correction coefficients of the screen to be corrected and all the light points in the screen to be corrected; a correction coefficient model determination module, connected to the cold screen correction determination module, selecting a target area including m*n lamp points in the screen to be corrected, and an original correction coefficient model coef0 composed of original correction coefficients of all lamp points in the target area and a first correction coefficient model coef1 composed of first correction coefficients of all lamp points in the target area when the lamp points are at a preset grayscale value and reach a thermally stable state; A first cross-line model determination module is connected to the correction coefficient model determination module, and determines a first cross-line model coefdelt=coef1 / coef0 of all light points in the target area according to the original correction coefficient model coef0 and the first correction coefficient model coef1; A second cross-line model determination module, connected to the first cross-line model determination module, obtains a second cross-line model coefdelt2 of all light points in the remaining boxes after removing the edge boxes from the target area; A first average value model determination module is connected to the second cross line model determination module, and calculates the original average value model model0 of all light points in all remaining boxes according to the second cross line model coefdelt2, and a first average value model model1 after the original average value model model0 is subjected to mean filtering processing; A second average value model determination module, connected to the first average value model determination module, determines the average value of correction coefficients of all lamps in the remaining boxes according to the first average value model1, and determines a second average value model model2 of all lamps in the remaining boxes according to the correction coefficients of all lamps in the remaining boxes and the average value of the correction coefficients; A thermal screen correction module is connected to the second average value model determination module, and obtains a thermal screen correction coefficient coefhot according to the second average value model model2, a cold screen correction coefficient model coefcold and a preset cross line intensity coefficient to perform thermal screen correction on the LED screen; The method of obtaining the thermal screen correction coefficient coefhot according to the second average value model model2, the cold screen correction coefficient model coefcold and the preset cross line intensity coefficient to perform thermal screen correction on the LED screen includes: determining the field ambient temperature of the preset temperature value corresponding to the second average value model model2; if the field ambient temperature is greater than or equal to the preset temperature value, using the first preset coefficient as the cross line intensity coefficient, and the value of the first preset coefficient is greater than 1; if the field ambient temperature is less than the preset temperature value, using the second preset coefficient as the cross line intensity coefficient, and the value of the second preset coefficient is less than 1; obtaining the thermal screen correction coefficient coefhot = k*model2*coefcold according to the second average value model model2, the cold screen correction coefficient model coefcold and the preset cross line intensity coefficient k to perform thermal screen correction on the LED screen.

8. The rapid heat screen correction device for LED screen according to claim 7, characterized in that: The thermal screen correction module comprises: A temperature determination unit, determining a preset temperature value on-site ambient temperature corresponding to the second average value model model2; a first intensity coefficient determining unit connected to the temperature determining unit, and using a first preset coefficient as the cross-line intensity coefficient if the on-site ambient temperature is greater than or equal to the preset temperature value, wherein the value of the first preset coefficient is greater than 1; a second intensity coefficient determining unit connected to the temperature determining unit, and using a second preset coefficient as the cross-line intensity coefficient if the on-site ambient temperature is lower than the preset temperature value, wherein the value of the second preset coefficient is lower than 1; The thermal screen correction unit is respectively connected to the first intensity coefficient determination unit and the second intensity coefficient determination unit, and obtains the thermal screen correction coefficient coefhot = k*model2*coefcold according to the second average value model model2, the cold screen correction coefficient model coefcold and the preset cross line intensity coefficient k to perform thermal screen correction on the LED screen.

9. An electronic device, characterized in that: It includes a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory communicate with each other through the communication bus; A memory for storing instructions executable by the processor; The processor is used to implement the steps of the rapid thermal screen correction method for the LED screen described in any one of claims 1 to 6 when executing instructions stored in the memory.

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