CN112599075A

CN112599075A - Display module correction method, device and system

Info

Publication number: CN112599075A
Application number: CN202010482016.6A
Authority: CN
Inventors: 殷雷; 韦桂锋
Original assignee: Xian Novastar Electronic Technology Co Ltd
Current assignee: Xian Novastar Electronic Technology Co Ltd
Priority date: 2020-05-28
Filing date: 2020-05-28
Publication date: 2021-04-02
Anticipated expiration: 2040-05-28
Also published as: CN112599075B

Abstract

The embodiment of the invention relates to a method, a device and a system for correcting a display module. The method for example comprises: i) controlling an image acquisition device to acquire a correction image under a first gray scale displayed by a display module to be corrected so as to obtain first color data of the display module to be corrected under the first gray scale; ii) calculating color data of the display module to be corrected at least one second gray scale according to the first color data and at least one color difference set to obtain at least one second color data, wherein the at least one second gray scale is different from the first gray scale; iii) generating multiple correction data of the display module to be corrected under multiple different gray scales according to the first color data, the at least one second color data and the set multiple correction target values to obtain multiple gray scale correction data corresponding to the display module to be corrected; and iv) outputting the multi-gray scale correction data. The embodiment of the invention can realize multi-gray scale correction and improve the correction efficiency.

Description

Display module correction method, device and system

Technical Field

The present invention relates to the field of display correction technologies, and in particular, to a display module correction method, a display module correction device, and a display module correction system.

Background

With the development of the LED industry, the display quality requirements of users for low gray levels of LED display screens, even the whole gray level (or called full gray level), are higher and higher, for example, the color temperature of 0-255 gray level display is consistent, the gray level gradually changes smoothly, and the high gray level and low gray level display is uniform. The problem of color temperature and gray scale gradual change needs more gray scales to complete the processing, and the LED display screen needs to be corrected aiming at the display uniformity. The existing LED display correction method is to collect luminance and chrominance data of the highest gray scale of red, green and blue of an LED display device, automatically or manually set a luminance and chrominance correction target value according to the collected luminance and chrominance data, calculate a correction coefficient of each LED light point of each LED pixel point according to the collected luminance and chrominance data and the luminance and chrominance correction target value, and upload the calculated correction coefficient to the LED display device through a signal source input interface (such as a DVI interface) or a communication interface (such as a serial port/USB port/internet port, etc.). Therefore, the existing LED display device is difficult to correct and solve the problem of inconsistent display uniformity of LED display in low gray and even whole gray stages.

Disclosure of Invention

Therefore, to overcome the defects and shortcomings of the prior art, embodiments of the present invention provide a display module calibration method, a display module calibration apparatus, and a display module calibration system.

On one hand, a method for correcting a display module provided by an embodiment of the present invention includes: i) controlling an image acquisition device to acquire a correction image under a first gray scale displayed by a display module to be corrected so as to obtain first color data of the display module to be corrected under the first gray scale; ii) calculating color data of the display module to be corrected at least one second gray scale according to the first color data and at least one color difference set to obtain at least one second color data, wherein the at least one second gray scale is different from the first gray scale; iii) generating multiple correction data of the display module to be corrected under multiple different gray scales according to the first color data, the at least one second color data and the set multiple correction target values to obtain multiple gray scale correction data corresponding to the display module to be corrected; and iv) outputting the multi-gray scale correction data.

The display module correction method of the embodiment collects color data (such as brightness data or brightness and chrominance data) of a correction image of a certain gray scale of a display module to be corrected, calculates color data of other one or more gray scales through a color difference set (such as a brightness difference set or a brightness and chrominance difference set) among different gray scales, and then calculates multi-gray scale correction data of the display module to be corrected based on the collected and calculated color data, thereby realizing multi-gray scale correction (such as multi-gray scale brightness correction or multi-gray scale brightness and chrominance correction), and further realizing better technical effect of display uniformity under different gray scales; in addition, the correction images of the display module to be corrected under a plurality of different gray scales are not required to be acquired by controlling the image acquisition equipment, so that the correction efficiency can be improved.

In an embodiment of the present invention, the display module to be corrected includes a plurality of pixel points, and each of the pixel points includes a plurality of primary color sub-pixels respectively corresponding to a plurality of different primary colors; each color difference set in the at least one color difference set comprises a plurality of color proportion groups respectively corresponding to the plurality of different primary colors; the calculating color data of the display module to be corrected under at least one second gray scale according to the first color data and at least one color difference set to obtain at least one second color data includes: and obtaining multiple color data respectively corresponding to the multiple different primary colors under the target gray scale as one of the at least one second color data according to multiple color data respectively corresponding to the multiple different primary colors in the first color data and the multiple color proportion groups in the color difference set corresponding to the target gray scale, wherein the target gray scale is one of the at least one second gray scale.

In an embodiment of the invention, each of the color scale groups includes a plurality of color scale subgroups corresponding to the display units, each of the color scale subgroups includes a plurality of scales, and each of the display units includes one or more than one of the pixel points.

In an embodiment of the present invention, the display module correction method further includes: acquiring a plurality of sample color data of each sample display module in a plurality of sample display modules under N different gray scales by controlling an image acquisition device to acquire an image, wherein N is a positive integer greater than 1, and the N different gray scales comprise the first gray scale and the at least one second gray scale; and obtaining the at least one color difference set corresponding to the at least one second gray scale according to the sample color data of the sample display modules under the N different gray scales.

In an embodiment of the present invention, obtaining the at least one color difference set corresponding to the at least one second gray scale according to the sample color data of the sample display modules at the N different gray scales includes: calculating the mean value of a plurality of sample color data under each gray scale according to the plurality of sample display modules to obtain N color data mean values corresponding to the N different gray scales, wherein the N color data mean values comprise a first color data mean value corresponding to the first gray scale and at least one second color data mean value corresponding to the at least one second gray scale; and calculating the difference of the at least one second color data mean value relative to the first color data mean value by taking the first color data mean value as a reference to obtain the at least one color difference set in one-to-one correspondence with the at least one second color data mean value.

In one embodiment of the present invention, each of the sample display modules includes a plurality of pixel points; the calculating, according to the average values of the plurality of sample color data of the plurality of sample display modules at each gray scale, to obtain N average values of the color data corresponding to the N different gray scales, respectively, includes: and calculating the average value of the color data in the sample color data of the display unit positioned at the same position in the sample display modules under the same gray scale, wherein the display unit comprises one or more than one pixel point.

In one embodiment of the present invention, each of the sample display modules includes a plurality of pixel points; the calculating, according to the average values of the plurality of sample color data of the plurality of sample display modules at each gray scale, to obtain N average values of the color data corresponding to the N different gray scales, respectively, includes: calculating a pixel point color data mean value of each sample color data in a plurality of sample color data of the plurality of sample display modules under the same gray scale to obtain a plurality of pixel point color data mean values; and averaging the color data mean values of the plurality of pixel points to obtain one color data mean value corresponding to the same gray scale in the N color data mean values.

In an embodiment of the present invention, the acquiring, by controlling an image acquisition device to perform image acquisition, a plurality of sample color data of each of a plurality of sample display modules at N different gray scales includes: and respectively carrying out image acquisition on the plurality of sample display modules by controlling a plurality of image acquisition devices.

On the other hand, a display module calibration apparatus provided in an embodiment of the present invention includes: the acquisition control module is used for controlling the image acquisition equipment to acquire an image for correction under a first gray scale displayed by the display module to be corrected so as to obtain first color data of the display module to be corrected under the first gray scale; the data calculation module is used for calculating color data of the display module to be corrected under at least one second gray scale according to the first color data and at least one color difference set so as to obtain at least one second color data, wherein the at least one second gray scale is different from the first gray scale; the correction data generation module is used for generating multiple copies of correction data of the display module to be corrected under multiple different gray scales according to the first color data, the at least one second color data and the set multiple correction target values so as to obtain multiple gray scale correction data corresponding to the display module to be corrected; and the output module is used for outputting the multi-gray-scale correction data.

The display module correcting device of the embodiment controls the image acquisition equipment to acquire color data of a correction image of a certain gray scale of the display module to be corrected through the acquisition control module, obtains color data of one or more other gray scales through calculation by the data calculation module based on a color difference set between different gray scales, and then obtains multi-gray scale correction data of the display module to be corrected through calculation by the correction data generation module based on the plurality of acquired and calculated color data, so that multi-gray scale correction can be realized, and the technical effect of better display uniformity under different gray scales can be realized; in addition, the correction images of the display module to be corrected under a plurality of different gray scales are not required to be acquired by controlling the image acquisition equipment, so that the correction efficiency can be improved.

In an embodiment of the present invention, the display module to be corrected includes a plurality of pixel points, and each of the pixel points includes a plurality of primary color sub-pixels respectively corresponding to a plurality of different primary colors; each color difference set in the at least one color difference set comprises a plurality of color proportion groups respectively corresponding to the plurality of different primary colors; the data calculation module comprises: and obtaining multiple color data respectively corresponding to the multiple different primary colors under the target gray scale according to multiple color data respectively corresponding to the multiple different primary colors in the first color data and the multiple color proportion groups in the color difference set corresponding to the target gray scale, wherein the multiple color data are used as one of the at least one second color data, and the target gray scale is one of the at least one second gray scale.

In one embodiment of the present invention, the display module correction apparatus further includes: the image acquisition device comprises a sample acquisition module, a data acquisition module and a data acquisition module, wherein the sample acquisition module is used for acquiring a plurality of sample color data of each sample display module in a plurality of sample display modules under N different gray scales by controlling the image acquisition device to acquire the plurality of sample color data, N is a positive integer greater than 1, and the N different gray scales comprise the first gray scale and the at least one second gray scale; and a difference set obtaining module, configured to obtain the at least one color difference set corresponding to the at least one second gray scale according to the sample color data of the sample display modules under the N different gray scales.

In one embodiment of the present invention, the disparity set acquisition module includes: a mean value calculation sub-module, configured to calculate a mean value of a plurality of sample color data under each gray scale according to the plurality of sample display modules, so as to obtain N mean values of color data corresponding to the N different gray scales, where the N mean values of color data include a first mean value of color data corresponding to the first gray scale and at least one second mean value of color data corresponding to the at least one second gray scale; and the difference set calculation submodule is used for calculating the difference of the at least one second color data mean value relative to the first color data mean value by taking the first color data mean value as a reference so as to obtain the at least one color difference set which is in one-to-one correspondence with the at least one second color data mean value.

In one embodiment of the present invention, each of the sample display modules includes a plurality of pixel points; the mean value calculation sub-module includes: and the display unit-by-display unit mean value calculating unit is used for calculating the mean value of the color data in the sample color data of the display units positioned at the same position in the sample display modules under the same gray scale, wherein the display units comprise one or more than one pixel points.

In one embodiment of the present invention, each of the sample display modules includes a plurality of pixel points; the mean value calculation sub-module includes: the sample pixel point mean value calculation unit is used for calculating the pixel point color data mean value of each sample color data in a plurality of sample color data of the plurality of sample display modules under the same gray scale so as to obtain a plurality of pixel point color data mean values; and the pixel point average value averaging unit is used for averaging the color data average values of the plurality of pixel points to obtain one color data average value corresponding to the same gray scale in the N color data average values.

In one embodiment of the invention, the sample acquisition module comprises means for: and respectively carrying out image acquisition on the plurality of sample display modules by controlling a plurality of image acquisition devices.

On the other hand, a display module calibration system provided in an embodiment of the present invention includes: a processor and a memory coupled to the processor; wherein the memory stores instructions for execution by the processor and the instructions cause the processor to perform operations to perform a display module correction method as described in any of the previous embodiments.

As can be seen from the above, the above technical features of the present invention may have one or more of the following advantages: the display module correction method, the device and the system collect the color data of a correction image of a certain gray scale of a display module to be corrected, obtain the color data of other one or more gray scales through the color difference set calculation among different gray scales, and then calculate and obtain the multi-gray scale correction data of the display module to be corrected based on the collected and calculated multiple color data, thereby realizing the multi-gray scale correction and further realizing the technical effect of better display uniformity under different gray scales; in addition, the correction images of the display module to be corrected under a plurality of different gray scales do not need to be acquired by controlling the image acquisition equipment, so that the correction efficiency can be improved.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.

Fig. 1 is a flowchart illustrating an implementation manner of a display module calibration method according to a first embodiment of the present invention.

Fig. 2A is a partial schematic flow chart of another embodiment of a display module calibration method according to a first embodiment of the present invention.

Fig. 2B is a flowchart illustrating a sub-step of step S12B in fig. 2A.

Fig. 2C is a schematic diagram of a calibration system suitable for the calibration method of the display module shown in fig. 1.

FIG. 2D is a schematic diagram of a calibration system suitable for use in the calibration method of the display module shown in FIG. 2A.

Fig. 3 is a block diagram illustrating an embodiment of a display module calibration apparatus according to a second embodiment of the present invention.

Fig. 4 is a schematic diagram of a unit configuration of the acquisition control module shown in fig. 3.

Fig. 5 is a block diagram illustrating another embodiment of a display module calibration apparatus according to a second embodiment of the present invention.

FIG. 6A is a schematic diagram of a cell structure of the mean value calculation sub-module shown in FIG. 5.

FIG. 6B is a schematic diagram of another unit of the mean value calculation sub-module shown in FIG. 5.

Fig. 7 is a schematic structural diagram of a display module calibration system according to a third embodiment of the invention.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

[ first embodiment ] A method for manufacturing a semiconductor device

As shown in fig. 1, a display module calibration method according to a first embodiment of the present invention includes:

s11: controlling an image acquisition device to acquire a correction image under a first gray scale displayed by a display module to be corrected so as to obtain first color data of the display module to be corrected under the first gray scale;

s13: calculating color data of the display module to be corrected under at least one second gray scale according to the first color data and at least one color difference set to obtain at least one second color data, wherein the at least one second gray scale is different from the first gray scale;

s15: generating multiple correction data of the display module to be corrected under multiple different gray scales according to the first color data, the at least one second color data and the set multiple correction target values to obtain multiple gray scale correction data corresponding to the display module to be corrected;

s17: and outputting the multi-gray-scale correction data.

The display module correction method of the embodiment of the invention collects the color data of a correction image of a certain gray scale of a display module to be corrected, obtains the color data of one or more other gray scales through the calculation of the color difference set among the different gray scales, and then obtains the multi-gray scale correction data of the display module to be corrected through the calculation of the plurality of collected and calculated color data, thereby realizing the multi-gray scale correction and further realizing the technical effect of better display uniformity under different gray scales; moreover, the correction images of the display module to be corrected under a plurality of different gray scales are not required to be acquired by controlling the image acquisition equipment, so that the correction efficiency can be improved. It should be noted that, when the color data is luminance data and the color difference set is a luminance difference set, the multi-gray-scale correction data may be multi-gray-scale luminance correction data; or, when the color data is a luminance and chrominance data and the color difference set is a luminance and chrominance difference set, the multi-gray-scale correction data may be multi-gray-scale luminance and chrominance correction data.

Optionally, as an embodiment of the present invention, the to-be-corrected display module includes a plurality of pixel points, and each of the pixel points includes a plurality of primary color sub-pixels respectively corresponding to a plurality of different primary colors; the step S11 includes: controlling the image acquisition equipment to acquire a plurality of primary color images under the first gray scale sequentially displayed by the plurality of pixel points of the display module to be corrected; and obtaining a plurality of sets of color data respectively corresponding to the plurality of different primary colors as the first color data according to the plurality of primary color images. The embodiment can realize the acquisition of the brightness or brightness and chrominance data of a multi-primary color display module, such as an RGB full-color LED display module.

Optionally, as an embodiment of the present invention, each of the color difference sets in the at least one color difference set includes a plurality of color proportion groups respectively corresponding to the plurality of different primary colors; the step S13 includes: and obtaining multiple color data respectively corresponding to the multiple different primary colors under the target gray scale according to the multiple color data in the first color data and the multiple color proportion groups in the color difference set corresponding to the target gray scale as one of the at least one second color data, wherein the target gray scale is one of the at least one second gray scale. The present embodiment represents the color difference set between different gray scales by a luminance ratio or a brightness ratio, for example, the brightness ratio is represented by the difference ratio of the XYZ three components of the XYZ color space, but the embodiment of the present invention is not limited to the XYZ color space, and may be other color spaces such as the Yxy color space.

Optionally, as an embodiment of the present invention, each of the color proportion groups includes a plurality of color proportion subgroups corresponding to a plurality of display units respectively, each of the color proportion subgroups includes a plurality of proportions, and each of the display units includes one or more than one of the pixel points. In this embodiment, each display unit has its own color proportion subgroup, that is, different pixel points or pixel blocks (corresponding to more than one pixel point) have their own different color proportion subgroups; of course, in other embodiments, all the pixel points of the display module to be corrected may share the same color proportion set under the same primary color, and different primary colors correspond to different color proportion sets.

Optionally, as an embodiment of the present invention, as shown in fig. 2A, the display module correction method further includes:

s12 a: acquiring a plurality of sample color data of each sample display module in a plurality of sample display modules under N different gray scales by controlling an image acquisition device to acquire an image, wherein N is a positive integer greater than 1, and the N different gray scales comprise the first gray scale and the at least one second gray scale;

s12 b: and obtaining the at least one color difference set corresponding to the at least one second gray scale according to the sample color data of the sample display modules under the N different gray scales.

The present embodiment acquires images of a plurality of sample display modules to determine a set of color differences, such as a set of luminance or chrominance differences, between a plurality of different gray levels for use in the step S13.

Optionally, as an embodiment of the present invention, as shown in fig. 2B, step S12B includes, for example:

s12b 1: calculating the mean value of a plurality of sample color data under each gray scale according to the plurality of sample display modules to obtain N color data mean values corresponding to the N different gray scales, wherein the N color data mean values comprise a first color data mean value corresponding to the first gray scale and at least one second color data mean value corresponding to the at least one second gray scale;

s12b 2: and calculating the difference of the at least one second color data mean value relative to the first color data mean value by taking the first color data mean value as a reference to obtain the at least one color difference set in one-to-one correspondence with the at least one second color data mean value.

Optionally, as an embodiment of the present invention, each of the sample display modules includes a plurality of pixel points; the step S12b1 includes: calculating the average value of the color data in the sample color data of the display unit at the same position in the sample display modules under the same gray scale, wherein the display unit comprises one or more than one pixel point (or called pixel block). In this embodiment, the color data mean values of pixel points or pixel blocks of the plurality of sample display modules in the same gray scale may be obtained, so that the pixel points or the pixel blocks in different positions have different color data mean values, which may make the at least one second color data obtained in step S13 more accurate.

Optionally, as an embodiment of the present invention, each of the sample display modules includes a plurality of pixel points; the step S12b1 includes: calculating a pixel point color data mean value of each sample color data in a plurality of sample color data of the plurality of sample display modules under the same gray scale to obtain a plurality of pixel point color data mean values; and averaging the color data mean values of the plurality of pixel points to obtain one color data mean value corresponding to the same gray scale in the N color data mean values. In this embodiment, the overall color mean value of each of the plurality of sample display modules under the same gray scale (that is, the color data of all the pixel points of the plurality of sample display modules under the same gray scale are summed and averaged) is first calculated as the color data mean value of the pixel point, and then the color data mean values of the plurality of pixel points corresponding to the plurality of sample display modules are averaged, so as to obtain one color data mean value corresponding to the same gray scale, which can improve the calculation efficiency of obtaining the at least one second color data in the subsequent step S13.

Optionally, as an embodiment of the present invention, the step S12a includes: and respectively carrying out image acquisition on the plurality of sample display modules by controlling a plurality of image acquisition devices. The embodiment can improve the image acquisition efficiency of the plurality of sample display modules.

Optionally, as an embodiment of the present invention, the step S17 includes, for example: sending the multi-gray-scale correction data to the display module to be corrected to be stored in the display module to be corrected; and/or storing the multi-gray-scale correction data and the unique identification of the display module to be corrected in a specified storage device in an associated manner. The embodiment may directly send the multi-gray-scale correction data to the display module to be corrected for storage, so as to perform subsequent pixel-by-pixel color correction (for example, pixel-by-pixel brightness correction or pixel-by-pixel brightness correction), or may first store the multi-gray-scale correction data in a designated storage device for backup or for subsequent transfer to the display module to be corrected or a control system connected to the display module to be corrected, or both.

In order to more clearly understand the display module calibration method of this embodiment, an LED display box is taken as an implementation of the to-be-calibrated display module and the sample display module, and the brightness calibration of the display module is taken as an example, and is described in detail by way of example with reference to the calibration system shown in fig. 2C. The LED display box herein includes, for example, one or more LED lamp panels including a plurality of LED pixel points, each of which includes, for example, three primary color LED lamp points such as a red LED lamp point, a green LED lamp point, and a blue LED lamp point, and a display control card (such as an existing receiving card, scanning card, or module controller) electrically connected to the LED lamp panels.

Specifically, as shown in fig. 2C, the correction system 20 of the present embodiment includes: a computer system 21 and a dark room 23. The darkroom 23 includes an image capturing device 231, and the darkroom 23 is used for providing a darkroom environment for the display module 300 to be corrected or the sample display module 500 to prevent ambient light from interfering with image capturing accuracy. The computer system 21 includes, for example, one or more computers installed with calibration software and display control software, and is electrically connected to the image capturing device 231 to control the image capturing device 231 to perform image capturing and display control on the display module 300 to be calibrated or the sample display module 500.

As mentioned above, before the display module 300 to be corrected is corrected, it is first required to obtain the luminance and chrominance difference information (or called luminance and chrominance difference set) between a plurality of different gray scales based on the plurality of sample display modules 500.

For example, assuming that the uniformity of a batch of display modules is not consistent among the gray scales 0-10, 10-30, 30-100, and 100-255, N display modules can be arbitrarily taken out of the batch of display modules as N sample display modules 500, and then the sample display modules 500 loaded in the darkroom 23 are controlled to sequentially display a red (R) image, a green (G) image, and a blue (B) image at four different gray scales, such as 8, 16, 64, and 255, based on the calibration system 20 shown in FIG. 2C. It should be noted that the gray levels 8, 16, 64 and 255 are only examples, and can be other four gray levels respectively selected from the gray levels 0-10, 10-30, 30-100 and 100-255; even according to the different range of each interval with inconsistent uniformity of each batch of display modules, the number of the selected gray scales can be adjusted.

The computer system 21, for example, controls the image acquisition device 231 to acquire the red image, the green image, and the blue image at gray scale 8, gray scale 16, gray scale 64, and gray scale 255 sequentially displayed by the 1 st sample display module 500, and perform image processing on each acquired image, such as current mature region positioning and point positioning, respectively, so as to obtain sample luminance and chrominance data corresponding to gray scale 8 as D11, sample luminance and chrominance data corresponding to gray scale 16 as D12, sample luminance and chrominance data corresponding to gray scale 64 as D13, and sample luminance and chrominance data corresponding to gray scale 255 as D14. It is understood that, in a similar manner, the 2 nd sample display module 500 may obtain sample luminance and chrominance data D21 corresponding to the gray scale 8, sample luminance and chrominance data D22 corresponding to the gray scale 16, sample luminance and chrominance data corresponding to the gray scale 64 as D23, and sample luminance and chrominance data corresponding to the gray scale 255 as D24; by analogy, the sample luminance and chrominance data Dn1 corresponding to the gray scale 8, Dn2 corresponding to the gray scale 16, Dn3 corresponding to the gray scale 64, and Dn4 corresponding to the gray scale 255 of the nth sample display module 500 can be obtained (corresponding to step S12 a).

Next, the average of the luminance and chrominance data D, and Dn of the N sample display modules 500 at the gray level 8 is calculated as luminance and chrominance data average Davg, the average of the luminance and chrominance data D, and Dn of the N sample display modules 500 at the gray level 16 is calculated as luminance and chrominance data average Davg, the average of the luminance and chrominance data D, and Dn of the N sample display modules 500 at the gray level 64 is calculated as luminance and chrominance data average Davg, and the average of the luminance and chrominance data D, and Dn of the N sample display modules 500 at the gray level 255 is calculated as luminance and chrominance data average Davg, respectively, according to the luminance and chrominance data D, and Dn (corresponding to step S12 b).

There are two cases of the contents of the bright-chroma data mean values Davg1, Davg2, Davg3 and Davg4, taking the bright-chroma data mean value Davg1 as an example: in the first case, the luminance and chrominance data of each pixel point at the same position in the luminance and chrominance data D11, D21, … and Dn1 on the N sample display modules 500 are counted one by one and averaged to obtain the mean value of the luminance and chrominance data of each pixel point at the same position under the gray scale 8, so that the mean value of the luminance and chrominance data of each pixel point under the gray scale 8 forms a luminance and chrominance data mean value matrix to obtain the luminance and chrominance data mean value Davg 1; in case two, the average value of the luminance and chrominance data of all the pixels on each of the N sample display modules 500 is counted as the average value of the luminance and chrominance data of the pixels, and then the average value of the luminance and chrominance data of the pixels corresponding to the N sample display modules 500 is averaged to obtain the average value Davg1 of the luminance and chrominance data.

Then, based on the bright-chroma data mean values Davg1, Davg2, Davg3 and Davg4, it is possible to calculate, as needed, a bright-chroma Ratio set Ratio2, Ratio3 and Ratio4 of other bright-chroma data mean values Davg2, Davg3 and Davg4 relative to the reference Davg1 as an embodiment of a bright-chroma difference set of gray levels 16, 64 and 255 relative to gray level 8, respectively, based on one bright-chroma data mean value Davg1, e.g., Davg1 (corresponding to step S12b 2). More specifically, if the set of luminance-chrominance differences between the respective gray levels is a set of luminance-chrominance ratios, for the first case, the set of luminance-chrominance ratios between the two gray levels includes a plurality of sets of luminance-chrominance ratios respectively corresponding to a plurality of different primary colors (e.g., R, G, B), each of the sets of luminance-chrominance ratios includes a plurality of subsets of luminance-chrominance ratios respectively corresponding to a plurality of pixel points on the single sample display module 500, and each of the subsets of luminance-chrominance ratios includes a plurality of ratios (e.g., ratios of three components in the XYZ color space); for the second case, the set of luminance-chrominance ratios between two gray levels includes a plurality of luminance-chrominance ratio sets respectively corresponding to a plurality of different primary colors (e.g., R, G, B), and each of the luminance-chrominance ratio sets includes a plurality of ratios (e.g., ratios of three components of the XYZ color space).

After acquiring the luminance and chrominance difference sets between different gray scales, such as gray scale 8, gray scale 16, gray scale 64, and gray scale 255, the calibration system 20 shown in fig. 2C may be used to sequentially use the remaining display modules of the batch of display modules, except the N sample display modules 500, as the display modules 300 to be calibrated and load the display modules into the darkroom 23 for calibration.

Specifically, the computer system 21 controls the to-be-corrected display module 300 loaded in the darkroom 23 to sequentially display the red image, the green image and the blue image at the gray scale 8, and the computer system 21 controls the image collecting device 231 to collect the red image, the green image and the blue image at the gray scale 8 sequentially displayed by the to-be-corrected display module 300, so as to obtain the red, green and blue luminance and chrominance data of the to-be-corrected display module 300 at the gray scale 8 as the first color data, such as the first luminance and chrominance data in the foregoing step S11. It should be noted here that, alternatively, the to-be-corrected display module 300 may be controlled to sequentially display the red image, the green image and the blue image at the gray scale 16 and control the image capturing device 231 to capture the images, and accordingly, the step S12b2 should use the bright-chrominance data mean value Davg2 as a reference to calculate a bright-chrominance proportion set of other bright-chrominance data mean values, such as Davg1, Davg3, Davg4 relative to the reference Davg2, as an embodiment of a bright-chrominance difference set of the gray scale 8, the gray scale 64 and the gray scale 255 relative to the gray scale 16.

Then, based on the first luminance and chrominance data at gray scale 8 and luminance and chrominance difference sets Ratio2, Ratio3, and Ratio4 of one or more other gray scales, such as gray scale 16, gray scale 64, and gray scale 255, with respect to gray scale 8, matrix operation is performed on the first luminance and chrominance data and luminance and chrominance difference sets Ratio2, Ratio3, and Ratio4, so that three second color data, such as luminance and chrominance data, corresponding to gray scale 16, gray scale 64, and gray scale 255, respectively, can be obtained (corresponding to step S13).

Next, based on the first luminance and chrominance data corresponding to the gray scale 8 and the three second luminance and chrominance data corresponding to the gray scale 16, the gray scale 64 and the gray scale 255 of the display module 300 to be corrected, the multiple correction data of the display module 300 to be corrected under the different gray scales, such as the gray scale 8, the gray scale 16, the gray scale 64 and the gray scale 255, can be generated as the multiple gray scale correction data of the display module 300 to be corrected by combining the set multiple correction target values (corresponding to step S15).

For example, when the correction data of each LED pixel point at a gray level 16 with a saturation of 0 is to be calculated, since different saturations require the original luminance and chrominance data to be obtained by mixing them at different RGB ratios, three luminance and chrominance data corresponding to the red image at the gray level 16, the green image at the gray level 16, and the blue image at the gray level 16 can be selected, and the luminance and chrominance correction target value is set based on the three luminance and chrominance data. The luminance-chromaticity correction target value here includes a target luminance value and a target chromaticity value; the target brightness value and the target chromaticity value are set as the existing mature technology, for example, the target brightness value may be a brightness average value obtained by performing normal distribution analysis on the brightness values of a plurality of LED light points of the same color to remove LED light points with too low brightness values and then averaging the brightness values of the remaining LED light points, or the brightness average value is appropriately adjusted by a certain percentage to be used as the target brightness value; the target chromaticity value may be obtained by calculating CIE chromaticity coordinates of each LED pixel point including the red, green, and blue LED light points to obtain a corresponding color gamut, and obtaining a common color gamut of each LED pixel point and the CIE chromaticity coordinates corresponding to the common color gamut. After the brightness and chrominance correction target value is set, the three brightness and chrominance data are used as original brightness and chrominance data, and correction data of each LED pixel point under the gray scale 16 when the saturation is 0 can be obtained based on the existing mature brightness and chrominance correction coefficient calculation method, for example, the correction data of each LED pixel point under the gray scale 16 when the saturation is 0 comprises correction data which correspond to a red LED lamp point and comprise a 1 x 3 coefficient matrix, correction data which correspond to a green LED lamp point and comprise a 1 x 3 coefficient matrix and correction data which correspond to a blue LED lamp point and comprise a 1 x 3 coefficient matrix.

When the correction data of each LED pixel point at the gray scale 16 when the saturation is not 0 (for example, the saturation is 0.5) needs to be calculated, since different saturations need to be obtained by mixing the original luminance and chrominance data at different RGB ratios, three luminance and chrominance data obtained from the red image at the gray scale 16, the green image at the gray scale 8, and the blue image at the gray scale 8 can be selected, and the luminance and chrominance correction target value is set based on the three luminance and chrominance data. After the brightness and chroma correction target value is set, the three brightness and chroma data are used as original brightness and chroma data, and correction data which correspond to each red LED lamp point and comprise a 1 x 3 coefficient matrix when the saturation is 0.5 under the gray scale 16 can be obtained based on the existing mature brightness and chroma correction coefficient calculation method. Similarly, the correction data containing the 1 × 3 coefficient matrix corresponding to each green LED light point when the saturation is 0.5 at the gray scale 16 can be obtained from the red image at the gray scale 8, the green image at the gray scale 16 and the blue image at the gray scale 8, and the correction data containing the 1 × 3 coefficient matrix corresponding to each blue LED light point when the saturation is 0.5 at the gray scale 16 can be obtained from the red image at the gray scale 8, the green image at the gray scale 8 and the blue image at the gray scale 16.

From the above, the correction data corresponding to different saturation levels under the same gray scale can be calculated and obtained through different RGB ratios. In addition, in some embodiments, only the correction data of each LED pixel point with the saturation of 0 at a plurality of different gray scales may be calculated, and the correction data of each LED pixel point with the saturation of non-0 at a plurality of different gray scales may not be calculated, which may also achieve the technical effect of better display uniformity at different gray scales to a certain extent.

After acquiring the correction data of the display module 300 to be corrected at a plurality of different gray scales (even a plurality of different saturations at a plurality of different gray scales) to obtain the multi-gray-scale correction data, the multi-gray-scale correction data is output (corresponding to step S17). Specifically, the multi-gray-scale correction data may be directly sent to the display module 300 to be corrected, such as a display control card of an LED display box, for storage, so as to perform subsequent pixel-by-pixel color correction, or the multi-gray-scale correction data may be first stored in a designated storage device (which may be a memory of the computer system 21 itself, or may be another storage device independent of the computer system 21) so as to be backed up or be subsequently transferred to the display module 300 to be corrected; when the display module 300 to be corrected is, for example, an LED lamp panel, the multi-gray-scale correction data may be directly sent to a non-volatile memory, such as a flash memory, of the LED lamp panel for storage, or stored in a designated storage device first and then transferred to a display control card connected to the LED lamp panel. In addition, it can be understood that the display module 300 to be corrected is not limited to the LED display box and the LED lamp panel, and may also be an LED display screen including a plurality of display control cards and electrically connected to the plurality of display control cards.

As mentioned above, for the multiple correction data corresponding to the multiple different gray scales in the multiple gray scale correction data of the display module 300 to be corrected, the saturation may not be distinguished, and different saturations may also be distinguished.

(I) In the case of not distinguishing the saturation, the multi-gray-scale correction data corresponding to four different gray scales is taken as an example, and the content form is shown in table 1.

TABLE 1 content form of multi-gray scale correction data (no differentiation of saturation)

Red multi-gray-scale correction data	Green multi-gray-scale correction data	Blue multi-gray-scale correction data
			L8	L8	L8
L16	L16	L16
			L64	L64	L64
L255	L255	L255

L8, L16, L64 and L255 in table 1 indicate correction data for red, green and blue LED light points at gray scale 8, gray scale 16, gray scale 64 and gray scale 255, respectively.

(II) in the case of saturation differentiation, take the multi-gray level correction data corresponding to N saturations at four different gray levels as an example, the content form is shown in Table 2.

TABLE 2 content form of multi-gray scale correction data (differential saturation)

In table 2, L8, L16, L64, and L255 respectively indicate correction data sets for the red, green, and blue LED light points at gray scale 8, gray scale 16, gray scale 64, and gray scale 255, and Sat1, Sat2, …, and SatN respectively indicate correction data corresponding to N different saturations in a single correction data set.

In summary, the display module calibration method of the embodiment collects color data, such as luminance data or luminance and chrominance data, of a calibration image of a certain gray scale of the display module to be calibrated, calculates to obtain luminance data or luminance and chrominance data of one or more other gray scales through a color difference set, such as a luminance difference set or a luminance and chrominance difference set, between different gray scales, and then calculates to obtain multi-gray scale calibration data of the display module to be calibrated based on the collected and calculated luminance or luminance and chrominance data, so that multi-gray scale calibration can be achieved, and a technical effect of better display uniformity under different gray scales can be achieved; in addition, in the embodiment, the luminance difference (for example, luminance proportion) or the luminance and chrominance difference (for example, luminance and chrominance proportion) between different gray scales of the batch of display modules is calculated by collecting the luminance or luminance and chrominance data of the plurality of sample display modules under the plurality of different gray scales, the luminance or luminance and chrominance data of the display module under one gray scale can be collected only in the subsequent display module correction, and the luminance or luminance and chrominance data of other gray scales are calculated through the luminance or luminance and chrominance difference, so that the multi-gray scale correction efficiency can be effectively improved.

Furthermore, in other embodiments, in order to improve the image capturing efficiency of the sample display module 500, the calibration system 50 shown in fig. 2D may be used. Specifically, the correction coefficient 50 includes: a plurality of dark rooms 51a, 51b, 51c and 51d, a transfer device 53 and a computer system 55. The darkroom 51a comprises an image acquisition device 511a and a station 513a corresponding to the image acquisition device 511a and is used for providing a darkroom environment, the darkroom 51b comprises an image acquisition device 511b and a station 513b corresponding to the image acquisition device 511b and is used for providing a darkroom environment, the darkroom 51c comprises an image acquisition device 511c and a station 513c corresponding to the image acquisition device 511c and is used for providing a darkroom environment, and the darkroom 51d comprises an image acquisition device 511d and a station 513d corresponding to the image acquisition device 511d and is used for providing a darkroom environment. The computer system 55 includes, for example, one or more computers equipped with calibration software and display control software, and is electrically connected to the image capturing devices 511a to 511d, the stations 513a to 513d, and the transfer device 53. The conveying device 53 of the present embodiment is used for receiving the control of the computer system 55 to convey the sample display module 500 to the respective stations 513a to 513d in sequence and includes, for example, a conveying track; the stations 513 a-513 d are spaced along the conveying track and are configured to capture the image for screening from the computer system 55 and send the image to the sample display module 500 for displaying a plurality of images for correction of a plurality of different colors at the same gray level. For example, if the sample display module 500 has inconsistent uniformity in four different gray scale intervals, i.e., gray scale 0-10, gray scale 10-30, gray scale 30-100 and gray scale 100-255, the sample display module 500 may be controlled to sequentially display the red (R), green (G) and blue (B) images at gray scale 8 at the workstation 513a, sequentially display the red, green and blue images at gray scale 16 at the workstation 513B, sequentially display the red, green and blue images at gray scale 64 at the workstation 513c, and sequentially display the red, green and blue images at gray scale 255 at the workstation 513 d. It should be noted that the gray levels displayed at each of the workstations 513 a-513 d can be any gray level in the corresponding gray level interval.

As mentioned above, the computer system 55, for example, controls the image collecting device 511a to collect the red image, the green image and the blue image of the gray scale 8 sequentially displayed by the sample display module 500 at the station 513a and to perform image processing on each collected image, such as current mature region positioning and point positioning, to obtain three parts of luminance and chrominance data (corresponding to one sample luminance and chrominance data) corresponding to the gray scale 8, controls the image collecting device 511b to collect the red image, the green image and the blue image of the gray scale 16 sequentially displayed by the sample display module 500 at the station 513a and to perform image processing on each collected image to obtain three parts of luminance and chrominance data corresponding to the gray scale 16, and controls the image collecting device 511c to collect the red image, the green image and the blue image of the gray scale 64 sequentially displayed by the sample display module 500 at the station 513c and to perform image processing on each collected image to obtain corresponding gray scale data And the image acquisition device 511d is controlled to acquire red images, green images and blue images of the gray scale 255 sequentially displayed by the sample display module 500 at the station 513d and perform image processing on the acquired images respectively to obtain three parts of bright and chrominance data corresponding to the gray scale 255.

In other embodiments, the sample display module 500 may be transferred between the stations by manual transportation, that is, the sample display module is not limited to the automatic transportation by the transportation device 53 in the foregoing embodiments.

[ second embodiment ]

Referring to fig. 3, a display module calibration apparatus 40 according to a second embodiment of the present invention includes: an acquisition control module 41, a data calculation module 43, a correction data generation module 45, and an output module 47.

The acquisition control module 41 is configured to, for example, control an image acquisition device to acquire an image for correction in a first gray scale displayed by a display module to be corrected, so as to obtain first color data of the display module to be corrected in the first gray scale; the data calculating module 43 is, for example, configured to calculate color data of the display module to be corrected at least one second gray scale according to the first color data and at least one color difference set to obtain at least one second color data, where the at least one second gray scale is different from the first gray scale; the correction data generating module 45 is, for example, configured to generate multiple copies of correction data of the to-be-corrected display module at multiple different gray scales according to the first color data, the at least one second color data, and multiple set correction target values, so as to obtain multiple gray scale correction data corresponding to the to-be-corrected display module; and the output module 47 is for outputting the multi-gray-scale correction data, for example.

For the specific functional details of the acquisition control module 41, the data calculation module 43, the correction data generation module 45, and the output module 47, reference may be made to the detailed description in the foregoing first embodiment, and no further description is given here. It should be noted that the acquisition control module 41, the data calculation module 43, the correction data generation module 45 and the output module 47 may be software modules stored in a non-volatile memory and executed by a processor to perform the operations of steps S11, S13, S15 and S17 in the first embodiment.

Optionally, as an embodiment of the present invention, the to-be-corrected display module includes a plurality of pixel points, and each of the pixel points includes a plurality of primary color sub-pixels respectively corresponding to a plurality of different primary colors; as shown in fig. 4, the acquisition control module 41 includes: an acquisition control unit 411, for example, configured to control the image acquisition device to acquire a plurality of primary color images under the first gray scale sequentially displayed by the plurality of pixel points of the display module to be corrected; the data obtaining unit 413 is configured to obtain, as the first color data, a plurality of sets of color data (such as luminance data or luminance data) corresponding to the plurality of different primary colors, respectively, from the plurality of primary color images. The embodiment can realize the acquisition of the brightness or brightness and chrominance data of a multi-primary color display module, such as an RGB full-color LED display module.

Optionally, as an embodiment of the present invention, each of the color difference sets in the at least one color difference set includes a plurality of color proportion groups respectively corresponding to the plurality of different primary colors; the data calculation module 43 comprises means for: and obtaining multiple color data respectively corresponding to the multiple different primary colors under the target gray scale as one of the at least one second color data according to multiple color data respectively corresponding to the multiple different primary colors in the first color data and the multiple color proportion groups in the color diversity set corresponding to the target gray scale, wherein the target gray scale is one of the at least one second gray scale. The present embodiment represents the color difference set between different gray scales by a luminance ratio or a brightness ratio, for example, the brightness ratio is represented by the difference ratio of the XYZ three components of the XYZ color space, but the embodiment of the present invention is not limited to the XYZ color space, and may be other color spaces such as the Yxy color space.

Optionally, as an embodiment of the present invention, each of the color proportion groups includes a plurality of color proportion subgroups corresponding to a plurality of display units, each of the color proportion subgroups includes a plurality of proportions, and each of the display units includes one or more than one pixel point. In this embodiment, each pixel point or pixel block (i.e. more than one pixel point) has its own color proportion subgroup, i.e. different pixel points or pixel blocks have their own different color proportion subgroups; of course, in other embodiments, all the pixel points of the display module to be corrected may share the same color proportion set under the same primary color, and different primary colors correspond to different color proportion sets.

Optionally, as an embodiment of the present invention, as shown in fig. 5, the display module correction apparatus further includes: a sample acquisition module 42a and a variance set acquisition module 42 b. The difference set obtaining module 42b includes, for example, a mean value calculating submodule 42b1 and a difference set calculating submodule 42b 2. The sample acquiring module 42a is configured to acquire, for example, by controlling an image acquiring device to acquire an image, a plurality of sample color data of each sample display module in a plurality of sample display modules under N different gray scales, where N is a positive integer greater than 1, and the N different gray scales include the first gray scale and the at least one second gray scale; and the difference set obtaining module 42b is configured to obtain the at least one color difference set corresponding to the at least one second gray scale according to the sample color data of the sample display modules at the N different gray scales, for example. The mean value calculating sub-module 42b1 is configured to calculate a mean value of a plurality of sample color data at each gray scale according to the plurality of sample display modules, for example, to obtain N mean values of color data corresponding to the N different gray scales, where the N mean values of color data include a first mean value of color data corresponding to the first gray scale and at least one second mean value of color data corresponding to the at least one second gray scale; and the difference set calculating submodule 42b2 is configured to calculate the difference between the at least one second color data mean value and the first color data mean value based on the first color data mean value, for example, to obtain the at least one color difference set corresponding to the at least one second color data mean value in a one-to-one manner.

For the specific functional details of the sample collection module 42a and the difference set obtaining module 42b (for example, including the mean value calculation sub-module 42b1 and the difference set calculation sub-module 42b2), reference may be made to the detailed description in the foregoing first embodiment, which is not repeated herein. Furthermore, it should be noted that the sample collection module 42a and the difference set acquisition module 42b may be software modules stored in the non-volatile memory and executed by the processor to perform the operations of steps S12a and S12b in the first embodiment. In the present embodiment, the brightness or brightness difference set between different gray levels is determined by image-capturing the sample display modules, so as to be used by the data calculation module 43.

Optionally, as an embodiment of the present invention, each of the sample display modules includes a plurality of pixel points; as shown in fig. 6A, the mean value calculation submodule 42b1 includes: the display unit-by-display unit mean value calculating unit 421a is, for example, configured to calculate a mean value of color data in a plurality of sample color data of display units located at the same position in the plurality of sample display modules under the same gray scale, where the display unit includes one or more than one pixel point (or pixel block). In this embodiment, the mean value of the luminance or luminance chrominance data of the pixel-by-pixel point or the pixel-by-pixel block of the plurality of sample display modules in the same gray scale may be obtained, so that the pixel points or the pixel blocks in different positions have different mean values of the luminance or luminance chrominance data, which may make the at least one second color data obtained by the data calculation module 43 more accurate.

Optionally, as an embodiment of the present invention, each of the sample display modules includes a plurality of pixel points; as shown in fig. 6B, the mean value calculation submodule 42B1 includes: a sample pixel point average value calculating unit 421b, for example, configured to obtain a plurality of pixel point color data average values by using a pixel point color data average value of each sample color data in a plurality of sample color data of the plurality of sample display modules at the same gray scale; and a pixel averaging unit 423, for example, configured to average the color data averages of the plurality of pixels to obtain one of the color data averages corresponding to the same gray scale in the N color data averages. In this embodiment, the overall color mean value of each of the plurality of sample display modules under the same gray scale (that is, the color data of all the pixel points of the plurality of sample display modules under the same gray scale are summed and averaged) is first calculated as the color data mean value of the pixel point, and then the plurality of pixel point color data mean values corresponding to the plurality of sample display modules are averaged, so as to obtain one color data mean value corresponding to the same gray scale, which can improve the calculation efficiency of the subsequent data calculation module 43 for obtaining the at least one second color data.

Optionally, as an embodiment of the present invention, the sample collection module 41 includes: and respectively carrying out image acquisition on the plurality of sample display modules by controlling a plurality of image acquisition devices. The embodiment can improve the image acquisition efficiency of the plurality of sample display modules.

[ third embodiment ]

Referring to fig. 7, a display module calibration system 70 according to a third embodiment of the present invention includes: a processor 71 and a memory 73 electrically connected to the processor 71; the memory 73 stores instructions executable by the processor 71, and the instructions cause the processor 71 to perform operations to perform the display module calibration method according to the first embodiment.

In addition, other embodiments of the present invention further provide a computer-readable storage medium, which is a non-volatile memory and stores program code, and when the program code is executed by one or more processors, for example, the one or more processors are caused to execute the display module correction method according to the foregoing first embodiment.

It should be understood that the foregoing embodiments are merely exemplary of the present invention, and the technical solutions of the embodiments can be arbitrarily combined and collocated without conflict between technical features and structures, and not departing from the purpose of the present invention.

In the embodiments provided in the present invention, it should be understood that the disclosed system, apparatus and/or method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units/modules is only one logical division, and there may be other divisions in actual implementation, for example, multiple units or modules may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.

The units/modules described as separate parts may or may not be physically separate, and parts displayed as units/modules may or may not be physical units, may be located in one place, or may be distributed on multiple network units. Some or all of the units/modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.

In addition, each functional unit/module in the embodiments of the present invention may be integrated into one processing unit/module, or each unit/module may exist alone physically, or two or more units/modules may be integrated into one unit/module. The integrated units/modules may be implemented in the form of hardware, or may be implemented in the form of hardware plus software functional units/modules.

The integrated units/modules, which are implemented in the form of software functional units/modules, may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium and includes several instructions for causing one or more processors of a computer device (which may be a personal computer, a server, or a network device) to execute some steps of the methods according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.

Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims

1. A method for correcting a display module, comprising:

controlling an image acquisition device to acquire a correction image under a first gray scale displayed by a display module to be corrected so as to obtain first color data of the display module to be corrected under the first gray scale;

calculating color data of the display module to be corrected under at least one second gray scale according to the first color data and at least one color difference set to obtain at least one second color data, wherein the at least one second gray scale is different from the first gray scale;

generating multiple correction data of the display module to be corrected under multiple different gray scales according to the first color data, the at least one second color data and the set multiple correction target values to obtain multiple gray scale correction data corresponding to the display module to be corrected; and

and outputting the multi-gray-scale correction data.

2. The method for calibrating a display module according to claim 1, wherein the display module to be calibrated includes a plurality of pixels, and each of the pixels includes a plurality of primary color sub-pixels respectively corresponding to a plurality of different primary colors; each color difference set in the at least one color difference set comprises a plurality of color proportion groups respectively corresponding to the plurality of different primary colors; the calculating color data of the display module to be corrected under at least one second gray scale according to the first color data and at least one color difference set to obtain at least one second color data includes:

and obtaining multiple color data respectively corresponding to the multiple different primary colors under the target gray scale according to multiple color data respectively corresponding to the multiple different primary colors in the first color data and the multiple color proportion groups in the color difference set corresponding to the target gray scale, wherein the multiple color data are used as one of the at least one second color data, and the target gray scale is one of the at least one second gray scale.

3. The method as claimed in claim 2, wherein each of the color scale groups comprises a plurality of color scale sub-groups respectively corresponding to a plurality of display units, each of the color scale sub-groups comprises a plurality of scales, and each of the display units comprises one or more than one of the pixels.

4. The display module correction method of claim 1, further comprising:

acquiring a plurality of sample color data of each sample display module in a plurality of sample display modules under N different gray scales by controlling an image acquisition device to acquire an image, wherein N is a positive integer greater than 1, and the N different gray scales comprise the first gray scale and the at least one second gray scale; and

and obtaining the at least one color difference set corresponding to the at least one second gray scale according to the sample color data of the sample display modules under the N different gray scales.

5. The method as claimed in claim 4, wherein said obtaining the at least one color difference set corresponding to the at least one second gray scale according to the sample color data of the sample display modules at the N different gray scales comprises:

calculating the mean value of a plurality of sample color data under each gray scale according to the plurality of sample display modules to obtain N color data mean values corresponding to the N different gray scales, wherein the N color data mean values comprise a first color data mean value corresponding to the first gray scale and at least one second color data mean value corresponding to the at least one second gray scale;

and calculating the difference of the at least one second color data mean value relative to the first color data mean value by taking the first color data mean value as a reference to obtain the at least one color difference set in one-to-one correspondence with the at least one second color data mean value.

6. The display module calibration method of claim 5, wherein each of the sample display modules includes a plurality of pixel points; the calculating, according to the average values of the plurality of sample color data of the plurality of sample display modules at each gray scale, to obtain N average values of the color data corresponding to the N different gray scales, respectively, includes:

and calculating the average value of the color data in the sample color data of the display unit positioned at the same position in the sample display modules under the same gray scale, wherein the display unit comprises one or more than one pixel point.

7. The display module calibration method of claim 5, wherein each of the sample display modules includes a plurality of pixel points; the calculating, according to the average values of the plurality of sample color data of the plurality of sample display modules at each gray scale, to obtain N average values of the color data corresponding to the N different gray scales, respectively, includes:

calculating a pixel point color data mean value of each sample color data in a plurality of sample color data of the plurality of sample display modules under the same gray scale to obtain a plurality of pixel point color data mean values;

averaging the color data mean values of the plurality of pixel points to obtain one color data mean value corresponding to the same gray scale in the N color data mean values.

8. The method according to claim 4 or 5, wherein the acquiring of the plurality of sample color data of each of the plurality of sample display modules at the N different gray scales by controlling the image acquisition device to perform image acquisition comprises:

and respectively carrying out image acquisition on the plurality of sample display modules by controlling a plurality of image acquisition devices.

9. A display module calibration apparatus, comprising:

the acquisition control module is used for controlling the image acquisition equipment to acquire an image for correction under a first gray scale displayed by the display module to be corrected so as to obtain first color data of the display module to be corrected under the first gray scale;

the data calculation module is used for calculating color data of the display module to be corrected under at least one second gray scale according to the first color data and at least one color difference set so as to obtain at least one second color data, wherein the at least one second gray scale is different from the first gray scale;

the correction data generation module is used for generating multiple copies of correction data of the display module to be corrected under multiple different gray scales according to the first color data, the at least one second color data and the set multiple correction target values so as to obtain multiple gray scale correction data corresponding to the display module to be corrected; and

and the output module is used for outputting the multi-gray-scale correction data.

10. The display module correction apparatus according to claim 9, wherein the display module to be corrected includes a plurality of pixel points, and each of the pixel points includes a plurality of primary color sub-pixels respectively corresponding to a plurality of different primary colors; each color difference set in the at least one color difference set comprises a plurality of color proportion groups respectively corresponding to the plurality of different primary colors; the data calculation module comprises:

11. The apparatus of claim 10, wherein each of the color scale groups comprises a plurality of color scale sub-groups corresponding to the display units, each of the color scale sub-groups comprises a plurality of scales, and each of the display units comprises one or more of the pixels.

12. The display module calibration apparatus of claim 9, further comprising:

the image acquisition device comprises a sample acquisition module, a data acquisition module and a data acquisition module, wherein the sample acquisition module is used for acquiring a plurality of sample color data of each sample display module in a plurality of sample display modules under N different gray scales by controlling the image acquisition device to acquire the plurality of sample color data, N is a positive integer greater than 1, and the N different gray scales comprise the first gray scale and the at least one second gray scale; and

a difference set obtaining module, configured to obtain the at least one color difference set corresponding to the at least one second gray scale according to the sample color data of the sample display modules under the N different gray scales.

13. The display module correction apparatus as claimed in claim 12, wherein the disparity set obtaining module comprises:

a mean value calculation sub-module, configured to calculate a mean value of a plurality of sample color data under each gray scale according to the plurality of sample display modules, so as to obtain N mean values of color data corresponding to the N different gray scales, where the N mean values of color data include a first mean value of color data corresponding to the first gray scale and at least one second mean value of color data corresponding to the at least one second gray scale;

and the difference set calculation submodule is used for calculating the difference of the at least one second color data mean value relative to the first color data mean value by taking the first color data mean value as a reference so as to obtain the at least one color difference set which is in one-to-one correspondence with the at least one second color data mean value.

14. The display module calibration apparatus of claim 13, wherein each of the sample display modules comprises a plurality of pixel points; the mean value calculation sub-module includes:

and the display unit-by-display unit mean value calculating unit is used for calculating the mean value of the color data in the sample color data of the display units positioned at the same position in the sample display modules under the same gray scale, wherein the display units comprise one or more than one pixel points.

15. The display module calibration apparatus of claim 13, wherein each of the sample display modules comprises a plurality of pixel points; the mean value calculation sub-module includes:

the sample pixel point mean value calculation unit is used for calculating the pixel point color data mean value of each sample color data in a plurality of sample color data of the plurality of sample display modules under the same gray scale so as to obtain a plurality of pixel point color data mean values;

and the pixel point average value averaging unit is used for averaging the color data average values of the plurality of pixel points to obtain one color data average value corresponding to the same gray scale in the N color data average values.

16. The display module calibration apparatus of claim 12 or 13, wherein the sample acquisition module comprises means for:

17. A display module calibration system, comprising: a processor and a memory coupled to the processor; wherein the memory stores instructions for execution by the processor and the instructions cause the processor to perform operations to perform a display module correction method according to any one of claims 1 to 8.