CN111402825B - Screen correction method, device and system and logic board - Google Patents
Screen correction method, device and system and logic board Download PDFInfo
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- CN111402825B CN111402825B CN202010243784.6A CN202010243784A CN111402825B CN 111402825 B CN111402825 B CN 111402825B CN 202010243784 A CN202010243784 A CN 202010243784A CN 111402825 B CN111402825 B CN 111402825B
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- G09G3/00—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes
- G09G3/20—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters
- G09G3/34—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters by control of light from an independent source
- G09G3/36—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters by control of light from an independent source using liquid crystals
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- G09G2320/00—Control of display operating conditions
- G09G2320/02—Improving the quality of display appearance
- G09G2320/0233—Improving the luminance or brightness uniformity across the screen
Abstract
The application provides a screen correction method, a screen correction device, a screen correction system and a logic board, wherein the method comprises the following steps: receiving a test image displayed on an LCD splicing screen collected by a camera, and reading pre-generated reference data; determining test brightness according to the test image, and adjusting the test brightness according to the reference data so as to finish brightness adjustment of the LCD spliced screen; and based on the adjusted test brightness, performing gray scale adjustment on the test images with different gray scales by using the reference data so as to realize the gray scale adjustment of the LCD spliced screen. According to the method and the device, the pre-generated reference data is used as the reference for correction, the problem that optical parameters of different batches are different is solved, the brightness of the backlight lamp strip of the LCD splicing screen is adjusted firstly according to the table and the test image, then gray scale adjustment is carried out, and the problems of uneven brightness and uneven display effect, namely inconsistent gray scale, caused by backlight brightness are solved.
Description
Technical Field
The present application relates to the field of screen calibration technologies, and in particular, to a screen calibration method, a screen calibration device, a screen calibration system, and a logic board.
Background
The display device has a display problem, the related technology adopts the steps of dividing a display area of the display into a plurality of areas and a plurality of points, then acquiring mapping relation data of each area and point in a source color space and a target color space in real time so as to support subsequent correction, obtaining and outputting a color component theoretical value of each area or each point in the target color space according to the mapping relation data, then acquiring actual color component data of each area or point of the display in the target color space again, obtaining a color uniformity error of each area or point through comparison, judging whether the color uniformity error is in an acceptable range, if so, finishing correction, otherwise, re-acquiring color component values of each area and each point, and correcting the mapping relation until the color uniformity errors of all the areas and points are in the acceptable range. The technology is suitable for a target color space of a medical display with DICOM standard requirements, and after the technology is applied to an LCD spliced screen, only single-screen correction can be performed, the correction between screens is neglected, and the problems of serious display effect nonuniformity and color difference exist between the screens.
Therefore, how to provide a solution to the above technical problem is a problem that needs to be solved by those skilled in the art.
Disclosure of Invention
The application aims to provide a screen correction method, a screen correction device, a screen correction system and a logic board, which can correct the problems of non-uniform display effect and chromatic aberration among LCD spliced screens. The specific scheme is as follows:
the application provides a screen correction method, which comprises the following steps:
receiving a test image displayed on an LCD splicing screen collected by a camera, and reading pre-generated reference data;
determining test brightness according to the test image, and adjusting the test brightness according to the reference data so as to finish brightness adjustment of the LCD spliced screen;
and based on the adjusted test brightness, performing gray scale adjustment on the test image with different gray scales by using the reference data so as to realize the gray scale adjustment of the LCD splicing screen.
Optionally, the determining test brightness according to the test image and adjusting the test brightness according to the reference data to complete brightness adjustment of the LCD mosaic screen includes:
obtaining light bar arrangement according to a module parameter preset table, and determining a division area according to the light bar arrangement;
and sequentially adjusting the test brightness of the divided areas according to the test image and the reference data so as to finish the brightness adjustment of the LCD spliced screen.
Optionally, the module parameter presetting table includes: the serial number, the display area width, the display area height, the resolution ratio, the lamp strip quantity, the lamp strip direction are arranged.
Optionally, the performing gray scale adjustment on the test image with different gray scales by using the reference data includes:
obtaining color gamut color coordinates corresponding to the target gray scale by using a preset formula according to the color coordinate values corresponding to the divided regions in the test image;
performing gray scale adjustment on all the color gamut color coordinates corresponding to the target gray scale by using the reference data;
and determining the next gray scale according to the sampling frequency, replacing the target gray scale with the next gray scale, and executing the step of obtaining the color gamut color coordinates corresponding to the target gray scale by using a preset formula according to the color coordinate values corresponding to the divided regions in the test image until the gray scales of all the gray scales corresponding to the sampling frequency are adjusted.
Optionally, the method further includes:
adjusting the intermediate gray scale by using a linear difference algorithm according to the color gamut color coordinate adjusted by the target gray scale and the color gamut color coordinate adjusted by the next gray scale;
wherein the intermediate gray level is a gray level between the target gray level and the next gray level.
Optionally, the performing gray scale adjustment on all the color gamut color coordinates corresponding to the target gray scale by using the reference data includes:
judging whether the color gamut color coordinate corresponding to the target gray scale is within a deviation range by using the reference data;
if not, the color coordinates of the color gamut are adjusted by using the reference data;
and if so, adjusting the next gray scale.
Optionally, the method for acquiring the reference data includes:
determining the number of batch modules corresponding to the LCD splicing screen;
determining a plurality of target display screens according to the quantity of the batch modules;
and receiving the test images displayed by the target display screens collected by the camera, and calculating the test images to obtain the reference data.
Optionally, the calculating the test image to obtain the reference data includes:
calculating the test image to obtain an initial correction parameter table;
judging whether the initial correction parameter table is within a preset deviation range or not;
and if so, determining the initial correction parameter table as the reference data.
Optionally, after performing gray scale adjustment on the test image with different gray scales by using the reference data, the method further includes:
and filtering the image after the gray scale adjustment so as to complete edge fusion.
The application provides a screen correcting device, includes:
the image receiving and form reading module is used for receiving a test image which is acquired by a camera and displayed on the LCD splicing screen and reading pre-generated reference data;
the brightness adjusting module is used for determining test brightness according to the test image and adjusting the test brightness according to the reference data so as to finish brightness adjustment of the LCD splicing screen;
and the gray scale adjusting module is used for adjusting the gray scale of the test image with different gray scales by using the reference data based on the adjusted test brightness so as to realize the gray scale adjustment of the LCD splicing screen.
The present application provides a logic board comprising:
a memory for storing a computer program;
a processor for implementing the steps of the screen correction method as described above when executing the computer program.
The application provides a screen correction system, includes:
a logic board as described above;
the driving board is used for sending a specific test sequence to the logic board so that the logic board controls the display of a test image on the LCD splicing screen;
the signal source is used for outputting the specific test sequence to the driving board;
a camera for capturing the test image.
The application provides a screen correction method, which comprises the following steps: receiving a test image displayed on an LCD splicing screen collected by a camera, and reading pre-generated reference data; determining test brightness according to the test image, and adjusting the test brightness according to the reference data so as to finish brightness adjustment of the LCD spliced screen; and based on the adjusted test brightness, performing gray scale adjustment on the test images with different gray scales by using the reference data so as to realize the gray scale adjustment of the LCD spliced screen.
Therefore, the reference data are generated in advance, the table is used as a reference for correction, the problem that optical parameters of different batches are different is solved, then the brightness of the backlight lamp strip of the LCD spliced screen is adjusted firstly according to the table and the test image, the problem of uneven brightness caused by backlight brightness is solved, gray scale adjustment is carried out, the problem of uneven display effect, namely uneven gray scale is solved, therefore, correction of the LCD spliced screen is more accurate, and user experience is improved.
This application still provides a screen correcting unit, screen correction system, logic board simultaneously, all has above-mentioned beneficial effect, no longer gives unnecessary details here.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a flowchart of a screen calibration method according to an embodiment of the present application;
fig. 2 is a schematic flow chart of brightness adjustment according to an embodiment of the present disclosure;
FIG. 3 is a schematic flow chart illustrating gray scale adjustment according to an embodiment of the present disclosure;
fig. 4 is a schematic diagram illustrating a reference data obtaining process according to an embodiment of the present application;
fig. 5 is a schematic structural diagram of a screen calibration apparatus according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of a logic board according to an embodiment of the present application;
fig. 7 is a block diagram of another electronic device provided in the embodiment of the present application;
fig. 8 is a schematic structural diagram of a screen correction system according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making any creative effort belong to the protection scope of the present application.
The screen verification method provided by the related technology is only suitable for the target color space of the medical display with DICOM standard requirements, and after the technology is applied to the LCD spliced screen, only single-screen correction can be performed, the correction between screens is ignored, and the problems of serious uneven display effect and color difference exist between the screens. Based on the above technical problem, the present embodiment provides a screen correction method, which can correct the problems of non-uniform display effect and chromatic aberration between LCD tiled screens, and specifically refer to fig. 1, where fig. 1 is a flowchart of a screen correction method provided in the present embodiment, and specifically includes:
s110, receiving a test image displayed on an LCD splicing screen collected by a camera, and reading pre-generated reference data;
the main execution body of the screen correction method implemented in this embodiment is a logic board, the logic board displays a test image on an LCD tiled screen through a control signal, and then a camera collects the test image and sends the test image to the logic board, where the test image in this embodiment is a standard test image, and the method includes: the method comprises the steps that a red test image, a blue test image, a green test image and a white test image are displayed according to a preset rule, a certain brightness parameter is set during brightness adjustment, then the red test image, the blue test image, the green test image and the white test image are sequentially displayed, and after the brightness adjustment of the red test image is completed, the brightness adjustment of the blue test image, the green test image and the white test image is completed; and then outputting a red test image, a blue test image, a green test image and a white test image under one gray scale to complete gray scale adjustment of the gray scale, and then completing gray scale adjustment of all the gray scales in sequence.
It will be appreciated that there will be variations in the brightness or optical display of each batch of screens, and therefore, if all screens are calibrated according to uniform parameters, there will be some variation in the calibration results, and therefore, in an achievable embodiment, the reference data will be different for screens produced in different batches. The correction parameter table corresponds to the LCD mosaic screens one to one, for example, if the first LCD mosaic screen uses a first batch of screens, the first reference data corresponding to the first LCD mosaic screen (the first reference data is the correction parameter table of the first batch); and if the second LCD splicing screen uses the screens of the second batch, the second LCD splicing screen corresponds to second reference data (the second reference data is a correction parameter table of the second batch). The reference data, i.e., the correction parameter table, includes a luminance value and a color coordinate.
S120, determining test brightness according to the test image, and adjusting the test brightness according to the reference data so as to finish brightness adjustment of the LCD spliced screen;
and performing brightness calculation according to the test image to obtain test brightness. The method comprises the steps of adjusting test brightness according to reference data to further explain brightness adjustment of an LCD spliced screen, specifically, comparing the test brightness obtained by a red test image with red calibration brightness in the reference data, and then realizing red brightness calibration; then comparing the test brightness obtained by the blue test image with the blue calibration brightness in the reference data, and then realizing blue brightness calibration; comparing the test brightness obtained by the green test image with green calibration brightness in the reference data, and then realizing green brightness calibration; and comparing the test brightness obtained by the white test image with the white calibration brightness in the reference data, and then realizing white brightness calibration, wherein the brightness adjustment is completed at the moment.
In an implementation manner, whether the test brightness is consistent with the calibration brightness in the reference data or not can be judged, if so, the brightness adjustment is determined to be completed, and if not, the backlight lamp bars in the LCD spliced screen are adjusted to enable the test brightness to be consistent with the calibration brightness, so that the brightness adjustment of all the backlight lamp bars is completed in sequence; in another implementation, whether the difference value between the test brightness and the calibration brightness in the reference data is within a preset difference value range or not may be judged, if so, the brightness adjustment is determined to be completed, and if not, the backlight lamp strips in the LCD tiled screen are adjusted to make the test brightness consistent with the calibration brightness, and the brightness adjustment of all the backlight lamp strips is sequentially completed; it is worth noting that the above method for adjusting the brightness of the backlight light bars can be sequentially adjusting each backlight light bar, or can be dividing a plurality of areas, and then sequentially adjusting the backlight light bars in each area, so that the brightness adjustment of the backlight light bars is completed, the brightness between the screens of the LCD splicing screen is uniform, and the problem of non-uniform brightness caused by the backlight brightness is solved.
S130, based on the adjusted test brightness, gray scale adjustment is conducted on the test images with different gray scales through the reference data, so that gray scale adjustment of the LCD splicing screen is achieved.
After the coarse brightness adjustment is finished, the fine gray adjustment is performed, so that the problem of brightness loss after adjustment is solved. In this step, the gray scale of the test image with different gray scales is adjusted by using the reference data, and the gray scale is not limited in this embodiment, for example, when the bit width is 8 bits, the gray scale includes 0-255 orders; when the bit width is 10 bits, the gray scale includes 0-1023 levels. When the gray scale adjustment is carried out, a test image can be displayed on the LCD splicing screen based on test brightness, color coordinates are obtained through calculation according to the test image collected by the camera at a plurality of gray scales, the color coordinates are compared with the color coordinates in the reference data, the gray scale adjustment is realized, and the problem of uneven display effect, namely inconsistent gray scale is solved through the gray scale adjustment.
Based on the technical scheme, the reference data are pre-generated in the embodiment, the table is used as a reference for correction, the problem that optical parameters of different batches are different is solved, then, the brightness of the backlight lamp strip of the LCD spliced screen is adjusted firstly according to the table and the test image, the problem of uneven brightness caused by backlight brightness is solved, then gray scale adjustment is carried out, and the problem of uneven display effect, namely gray scale inconsistency is solved.
In an implementation manner, the brightness adjustment is further described, please refer to fig. 2, and fig. 2 is a schematic flow chart of the brightness adjustment according to an embodiment of the present application, which includes:
s121, obtaining light bar arrangement according to a module parameter preset table, and determining a division area according to the light bar arrangement;
it is understood that each divided region may correspond to one screen or a portion of the screen. The regional division can be divided according to the direction of arranging the light bars specifically to the regional quantity of division is confirmed to light bar quantity, takes vertically as an example: the number of the light bars is N, when the light bars are divided into N divided regions, the number of pixels of the divided regions is calculated through the width when the resolution is a b, and the corresponding relation between the number of the pixels and the size of the regions is as follows: the first divided region has a number of pixels (display region width/N) × a, and the nth divided region has a number of pixels (N-1) of the first divided region.
The light bar distribution direction of each screen is preset by the module parameter preset table, the number and the size of the divided areas are calculated according to the light bar distribution direction of the module parameter preset table, and the brightness uniformity is optimized firstly by roughly adjusting the backlight light bars.
Wherein, the module parameter presets the table and includes but is not limited to: the serial number, the display area width, the display area height, the resolution ratio, the lamp strip quantity, the lamp strip direction are arranged. Referring to table 1, table 1 is a preset table of module parameters.
TABLE 1 Module parameter Preset Table
| Numbering | Wide display area | High display area | Resolution ratio | Number of light bars | Direction of light bar |
| S001 | 1210 | 680 | 1920*1080 | 16 | Longitudinal direction |
| S002 | … | … | … | … | … |
And S122, sequentially adjusting the test brightness of the divided areas according to the test image and the reference data so as to finish the brightness adjustment of the LCD spliced screen.
Specifically, after a test image is displayed on the LCD splicing screen according to preset logic, a camera shoots to obtain the test image, then light bar arrangement is obtained according to a module parameter preset table, a plurality of division areas are determined according to the light bar arrangement, and the logic board coarsely adjusts the light bar brightness according to the brightness value in the reference data to optimize the brightness uniformity.
Based on the technical scheme, the regions are divided according to the direction and the number of the backlight lamp bars, only 1 to 2 sides of each region relate to the problem of edge fusion, and the correction effect is excellent.
In an implementation manner, further description is made for gray scale adjustment, please refer to fig. 3, and fig. 3 is a schematic flow chart of gray scale adjustment provided in the present embodiment, which includes:
s131, obtaining color coordinates of a color gamut corresponding to the target gray scale by using a preset formula according to the color coordinate values corresponding to the divided regions in the test image;
the camera acquires a test image, wherein the color coordinates of a dividing region RGBW in the test image are red coordinates, green coordinates, blue coordinates and white coordinates, and the test image comprises the following steps: (X) R ，Y R ，Z R )，(X G ，Y G ，Z G )，(X B ，Y B ，Z B )，(X W ，Y W ，Z W ) Substituting the set target color coordinates into a correction formula (correction coefficient general formula), a correction coefficient u can be calculated, and the correction formula is:
the color coordinates (X, Y, Z) of the color gamut under the gray scale are calculated by the color coordinates r, g and b of the standard color through a preset formula:
wherein, taking 255 grayscales as an example, each row or each column (X) is obtained R ，Y R ，Z R )，(X G ，Y G ，Z G )，(X B ，Y B ，Z B )，(X W ，Y W ，Z W ) And then comparing with the reference data, if the deviation range is within, taking a point downwards, and if the deviation range is not within, performing compensation, namely gray scale adjustment. It will be appreciated that the color gamut color coordinates (X, Y,z) and the number of rows or columns of the divided regions, and when the divided region is one divided region for each backlight light bar, the number of color gamut color coordinates (X, Y, Z) is equal to the number of rows or columns of the backlight light bar.
S132, performing gray scale adjustment on all color gamut color coordinates corresponding to the target gray scale by using the reference data;
further, performing gray scale adjustment on all color gamut color coordinates corresponding to the target gray scale by using the reference data, including: judging whether the color gamut color coordinate corresponding to the target gray scale is within the deviation range by using the reference data; if not, the color coordinates of the color gamut are adjusted by using the reference data; if yes, adjusting the next gray scale. In the present embodiment, the deviation range is not limited, and may be ± 0.02, ± 0.01, ± 0.03. By judging whether the operation is slow or not within the deviation range, the problem of slow operation caused by large-scale gray scale adjustment is avoided, and the correction efficiency can be improved on the premise of ensuring the correction accuracy.
S133, determining the next gray scale according to the sampling frequency, replacing the target gray scale with the next gray scale, and executing the step of obtaining color gamut color coordinates corresponding to the target gray scale by using a preset formula according to the color coordinate values corresponding to the divided regions in the test image until the gray scale adjustment of all the gray scales corresponding to the sampling frequency is completed.
In the present embodiment, the sampling frequency is not limited, but the sampling frequency includes, but is not limited to, 1, 2, 8, and 16. Specifically, after the gray scale adjustment is completed once, points are continuously fetched according to the sampling frequency, and an 8-bit 1920 × 1080 resolution module is used for example: the gray scale represents 0-255 orders, sampling points are sampled at an interval with a sampling frequency of 8, certainly, other sampling frequencies and total sampling point number of 32 can be adopted, gray scale adjustment is completed at the 255 orders of gray scale, after display effect optimization is realized, point gray scale 247 orders are fetched downwards, gray scale adjustment is completed at the 247 orders of gray scale, after display effect optimization is realized, point gray scale 239 orders are fetched downwards until gray scale adjustment of all gray scales is completed.
Further, the method also comprises the following steps:
s134, adjusting the intermediate gray scale by using a linear difference algorithm according to the color gamut color coordinate adjusted by the target gray scale and the color gamut color coordinate adjusted by the next gray scale; wherein the intermediate gray level is a gray level between the target gray level and the next gray level.
It can be understood that after the adjustment of the target gray scale and the adjustment of the next gray scale of the target gray scale are completed, a linear difference algorithm is performed on the intermediate gray scale of the gray scale between the target gray scale and the next gray scale, the intermediate gray scale is optimized, the consistency problem of different gray scales is optimized, the gray scales of the screens of the LCD splicing screen are consistent, and the display effect is optimized.
In an implementation manner, please refer to fig. 4, where fig. 4 is a schematic diagram of a process for acquiring reference data according to an embodiment of the present application, including:
s210, determining the quantity of batch modules corresponding to the LCD splicing screens;
the number of the batch modules is the total number of the display screens in the same batch.
S220, determining a plurality of target display screens according to the quantity of the batch modules;
and confirming the sampling quantity of the batch module quantity according to the IQC sampling method and the proportion, wherein the sampling quantity is the quantity of the target display screens. For example, when the number of batch modules is 100 display screens, the number of target display screens may be 10.
And S230, receiving the test images displayed by the target display screens collected by the camera, and calculating the test images to obtain reference data.
In this embodiment, a professional camera parameter setting is initialized to enter a shooting state, a signal source is initialized, a test image is output according to a preset logic, a logic board captures a camera shooting picture according to the preset logic, corresponding parameters including brightness and standard color gamut color coordinates are obtained according to the number of samples, and after all the parameters are obtained, the logic board calculates a correction parameter table, namely reference data, of which the output gray level is Grey (0-N), so that the reference data can be used for display optimization debugging.
The test images include a red test image, a green test image, a blue test image, a white test image at a reference luminance, and a red test image, a green test image, a blue test image, a white test image at different grayscales. And calculating according to the test image to obtain reference data, and verifying other display screens in the same batch by taking the reference data as a reference.
Further, the calculating the test image to obtain the reference data includes: calculating a test image to obtain an initial correction parameter table; judging whether the initial correction parameter table is within a preset deviation range or not; if yes, determining the initial correction parameter table as reference data.
The embodiment verifies the brightness and the color coordinates of the standard color gamut in the initial correction parameter table, verifies whether the brightness and the color coordinates of the standard color gamut meet the preset deviation range, and finishes debugging the preset deviation range, otherwise, starts the debugging process again from the initialization signal source, so as to determine the reference data for optimized display debugging. Therefore, the accuracy of the benchmark data obtained in the mode is increased.
In an implementation manner, after performing gray scale adjustment on the test image with different gray scales by using the reference data, the method further includes: and filtering the image after the gray scale adjustment so as to complete edge fusion.
After the display optimization of gray scale adjustment is completed, filtering processing is carried out on the image after the gray scale adjustment, the image edge fusion effect is optimized, and the problem of color blocks in an excessively uneven area is avoided.
Based on the foregoing embodiments, the present embodiment provides a specific operation method for screen correction, including:
s1, according to the number of the batch modules, confirming the sampling number according to the IQC sampling method and the proportion;
it can be understood that the step is to determine the number of batch modules corresponding to the LCD mosaic screen, and determine a plurality of target display screens according to the number of batch modules.
S2, initializing professional camera parameter setting and entering a shooting state;
s3, initializing a signal source and outputting a test image according to preset logic;
s4, the logic board captures a professional camera shot picture according to a preset logic;
it is understood that in steps S2-S4, i.e., the camera captures test images, the logic board receives the test images captured by the camera for display on the plurality of target display screens.
S5, circulating S3-S4 steps according to the sampling number;
s6, after all the parameters are obtained, the logic board calculates a correction parameter table with Grey (0-N) output gray level;
the method mainly comprises the step of calculating a test image to obtain reference data, namely a correction parameter table with Grey (0-N) gray.
S7, verifying whether the deviation range is in accordance with the preset deviation range;
s8, verifying the logic board production correction parameter list for display optimization debugging;
steps S7-S8 are to verify whether the reference data is within the predetermined deviation range, if yes, the reference data is used for displaying the optimized debugging, and if not, the step S3 is executed again.
S9, obtaining light bar arrangement according to the module parameter preset table, and determining the divided areas according to the light bar arrangement
S10, sequentially adjusting the test brightness of the divided areas according to the test image and the reference data so as to complete the brightness adjustment of the LCD spliced screen;
s11, obtaining color gamut coordinates corresponding to the target gray scale by using a preset formula according to the color coordinate values corresponding to the divided regions in the test image;
s12, performing gray scale adjustment on all color gamut color coordinates corresponding to the target gray scale by using the reference data;
s13, judging whether the color gamut color coordinate corresponding to the target gray scale is in the deviation range by using the reference data;
s14, if not, the color coordinates of the color gamut are adjusted by using the reference data;
s15, if yes, executing step S16;
s16, taking a point according to the sampling frequency, determining the next gray scale, replacing the next gray scale with the target gray scale, executing the steps S11-S15, and completing gray scale adjustment on the gray scale;
s17, adjusting the intermediate gray scale by using a linear difference algorithm according to the color gamut coordinate adjusted by the target gray scale and the color gamut coordinate adjusted by the next gray scale;
s18, continuously fetching points according to the sampling frequency table until the gray scale adjustment of all gray scales is completed;
and S19, carrying out filtering processing on the image after the gray scale adjustment so as to complete edge fusion.
Therefore, the method for adjusting the brightness of the backlight lamp bar roughly and then finely solves the problem of serious brightness loss of the module after debugging by adopting a mode of firstly adjusting the brightness of the backlight lamp bar roughly and then adjusting the image parameters finely; the intermediate gray scale is adjusted in a linear mode, so that the problem of consistency of different gray scales is solved; the regions are divided according to the direction and the number of the backlight lamp strips, so that the problem of edge fusion after adjustment is simplified; the built-in logic board directly collects images without developing upper computer software for collection. Specifically, the problem of backlight optimization brightness loss is roughly adjusted, and then image parameters are finely adjusted to optimize the display effect; presetting the arrangement direction of the module light bars by using a module preset table, calculating the number and the size of area divisions according to the arrangement direction of the light bars of the module preset table, and roughly adjusting the backlight light bars to optimize the brightness uniformity; sampling the batch modules according to the GB2003 standard, pre-calculating a correction parameter table according to the sampling quantity, generating a regional correction matrix table by comparing the regional pre-production correction parameter table, and optimizing the display effect of the detail image parameters; calculating linear deviation by setting sampling frequency and continuously taking points, and optimizing the consistency problem of different gray scales; the system networking comprises a liquid crystal module, a logic board, a driving board, a signal source and a professional camera, and data acquisition is carried out by the logic board; the regions are divided according to the direction and the number of the backlight light bars, and only the problem of edge fusion of 1-2 sides needs to be solved, so that the edge fusion efficiency is improved; the calibration parameter table is generated after sampling calculation is carried out on the batch modules, so that the problem of adjustment failure of different batches and different versions is solved.
Referring to fig. 5, fig. 5 is a schematic structural diagram of a screen calibration apparatus provided in an embodiment of the present application, and includes:
the image receiving and form reading module 510 is configured to receive a test image displayed on the LCD mosaic screen collected by the camera, and read pre-generated reference data;
the brightness adjusting module 520 is used for determining the test brightness according to the test image and adjusting the test brightness according to the reference data so as to complete the brightness adjustment of the LCD splicing screen;
and the gray scale adjusting module 530 is configured to perform gray scale adjustment on the test image with different gray scales by using the reference data based on the adjusted test brightness, so as to implement gray scale adjustment of the LCD mosaic screen.
In some specific embodiments, the brightness adjustment module 520 includes:
the region dividing unit is used for acquiring light bar arrangement according to the module parameter preset table and determining a divided region according to the light bar arrangement;
and the brightness adjusting unit is used for sequentially adjusting the test brightness of the divided areas according to the test image and the reference data so as to finish the brightness adjustment of the LCD splicing screen.
In some embodiments, the preset table of module parameters includes: serial numbers, wide display areas, high resolution, the number of the lamp strips and the direction of the lamp strips are arranged.
In some embodiments, the gray level adjustment module 530 includes:
the color gamut color coordinate acquisition unit is used for acquiring color gamut color coordinates corresponding to the target gray scale by using a preset formula according to the color coordinate values corresponding to the divided regions in the test image;
the first gray scale adjusting unit is used for performing gray scale adjustment on all color gamut color coordinates corresponding to the target gray scale by using the reference data;
and the second gray scale adjusting unit is used for determining the next gray scale according to the sampling frequency, replacing the target gray scale with the next gray scale, and executing the step of obtaining the color gamut color coordinates corresponding to the target gray scale by using a preset formula according to the color coordinate values corresponding to the divided regions in the test image until the gray scale adjustment of all the gray scales corresponding to the sampling frequency is completed.
In some embodiments, the gray level adjustment module 530 further comprises:
the third gray scale adjusting unit is used for adjusting the intermediate gray scale by utilizing a linear difference algorithm according to the color gamut color coordinate after the target gray scale is adjusted and the color gamut color coordinate after the next gray scale is adjusted;
wherein the intermediate gray level is a gray level between the target gray level and the next gray level.
In some embodiments, the first gray level adjusting unit includes:
the judgment subunit is used for judging whether the color gamut color coordinate corresponding to the target gray scale is within the deviation range by using the reference data;
the first execution subunit is used for adjusting the color coordinates of the color gamut by using the reference data if the color coordinates of the color gamut are not the same as the reference data;
and the second execution subunit is used for adjusting the next gray scale if the first execution subunit is the second execution subunit.
In some specific embodiments, the method for acquiring the reference data includes:
the batch module number determining module is used for determining the batch module number corresponding to the LCD splicing screen;
the target display screen determining module is used for determining a plurality of target display screens according to the quantity of the batch modules;
and the reference data acquisition module is used for receiving the test images which are acquired by the camera and displayed on the target display screens and calculating the test images to obtain reference data.
In some specific embodiments, the reference data obtaining module includes:
the initial correction parameter table acquisition unit is used for calculating the test image to obtain an initial correction parameter table;
the judging unit is used for judging whether the initial correction parameter table is within a preset deviation range or not;
and the reference data acquisition unit is used for determining the initial correction parameter table as the reference data if the initial correction parameter table is the reference data.
In some specific embodiments, the method further comprises:
and the filtering processing module is used for filtering the image after the gray scale adjustment so as to complete edge fusion.
Since the embodiment of the screen correction device portion and the embodiment of the screen correction method portion correspond to each other, please refer to the description of the embodiment of the screen correction method portion for the embodiment of the screen correction device portion, which is not repeated here.
Referring to fig. 6, fig. 6 is a schematic structural diagram of a logic board according to an embodiment of the present application, where the logic board described below and the screen calibration method described above are referred to correspondingly, and includes:
a memory 610 for storing a computer program;
and a processor 620 for implementing the steps of the screen correction method as described above when executing the computer program.
On the basis of the foregoing embodiment, as a preferred implementation, referring to fig. 7, fig. 7 is a structural diagram of another logic board provided in an embodiment of the present application, where the logic board further includes:
an input interface 603 connected to the processor 602, for obtaining computer programs, parameters and instructions imported from outside, and storing the computer programs, parameters and instructions into the memory 601 under the control of the processor 602. The input interface 603 may be connected to an input device for receiving parameters or instructions manually input by a user. The input device may be a touch layer covered on a display screen, or a button, a track ball or a touch pad arranged on a terminal shell, or a keyboard, a touch pad or a mouse, etc.
And a display unit 604 connected to the processor 602 for displaying data transmitted by the processor 602. The display unit 604 may be a display screen on a PC, a liquid crystal display screen, an electronic ink display screen, or the like.
And a network port 605 connected to the processor 602 for performing communication connection with external terminal devices. The communication technology adopted by the communication connection may be a wired communication technology or a wireless communication technology, such as a mobile high definition link (MHL) technology, a Universal Serial Bus (USB), a High Definition Multimedia Interface (HDMI), a wireless fidelity (WiFi), a bluetooth communication technology, a low power bluetooth communication technology, an ieee802.11 s-based communication technology, and the like.
Since the embodiment of the logic board portion and the embodiment of the screen correction method portion correspond to each other, please refer to the description of the embodiment of the screen correction method portion for the embodiment of the logic board portion, which is not repeated here.
Referring to fig. 8, fig. 8 is a schematic structural diagram of a screen calibration system provided in an embodiment of the present application, and includes:
a driving board 820 for transmitting a specific test sequence to the logic board 810 so that the logic board 810 controls the display of a test image on the LCD mosaic screen;
a signal source 830 for outputting a specific test sequence to the driver board 820;
a camera 840 for acquiring a test image.
Specifically, the logic board 810 and the driving board 820 in the screen correction system are integrated with the LCD mosaic screen 860. This LCD concatenation screen 860 complete machine still includes: the liquid crystal module 850 includes a backlight circuit and a backlight bar. The external devices include a signal source 830 and a camera 840. The logic board 810 communicates with the liquid crystal module 850 through the IIC, the logic board 810 communicates with the driving board 820 through a serial port, the logic board 810 communicates with the signal source 830 through a serial port, and the logic board 810 communicates with the camera 840 through the USB.
Since the embodiment of the screen correction system portion corresponds to the embodiment of the screen correction method portion, please refer to the description of the embodiment of the screen correction method portion for the embodiment of the screen correction system portion, which is not repeated here.
The embodiments are described in a progressive manner in the specification, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other. The device disclosed in the embodiment corresponds to the method disclosed in the embodiment, so that the description is simple, and the relevant points can be referred to the description of the method part.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The screen correction method, the screen correction device, the screen correction system and the logic board provided by the application are described in detail above. The principles and embodiments of the present application are explained herein using specific examples, which are provided only to help understand the method and the core idea of the present application. It should be noted that, for those skilled in the art, without departing from the principle of the present application, the present application can also make several improvements and modifications, and those improvements and modifications also fall into the protection scope of the claims of the present application.
Claims (11)
1. A screen correction method, comprising:
receiving a test image displayed on an LCD splicing screen collected by a camera, and reading pre-generated reference data; the reference data corresponds to each LCD splicing screen one by one;
determining test brightness according to the test image, and adjusting the test brightness according to the reference data so as to complete brightness adjustment of the LCD spliced screen;
based on the adjusted test brightness, gray scale adjustment is carried out on the test image with different gray scales by using the reference data so as to realize gray scale adjustment of the LCD splicing screen;
the method for acquiring the reference data comprises the following steps:
determining the quantity of batch modules corresponding to the LCD splicing screens;
determining a plurality of target display screens according to the quantity of the batch modules;
and receiving the test images displayed by the target display screens collected by the camera, and calculating the test images to obtain the reference data.
2. The screen correction method of claim 1, wherein the determining a test brightness according to the test image and adjusting the test brightness according to the reference data to complete brightness adjustment of the LCD tiled screen comprises:
obtaining light bar arrangement according to a module parameter preset table, and determining a division area according to the light bar arrangement;
and sequentially adjusting the test brightness of the divided areas according to the test image and the reference data so as to finish the brightness adjustment of the LCD spliced screen.
3. The screen correction method of claim 2, wherein the module parameter preset table comprises: the serial number, the display area width, the display area height, the resolution ratio, the lamp strip quantity, the lamp strip direction are arranged.
4. The screen correction method of claim 2, wherein the performing gray scale adjustment on the test image of different gray scales using the reference data comprises:
obtaining color gamut color coordinates corresponding to the target gray scale by using a preset formula according to the color coordinate values corresponding to the divided regions in the test image;
performing gray scale adjustment on all the color gamut color coordinates corresponding to the target gray scale by using the reference data;
and determining the next gray scale according to the sampling frequency, replacing the target gray scale with the next gray scale, and executing the step of obtaining the color gamut color coordinates corresponding to the target gray scale by using a preset formula according to the color coordinate values corresponding to the divided regions in the test image until the gray scales of all the gray scales corresponding to the sampling frequency are adjusted.
5. The screen correction method of claim 4, further comprising:
adjusting the intermediate gray scale by using a linear difference algorithm according to the color gamut color coordinate adjusted by the target gray scale and the color gamut color coordinate adjusted by the next gray scale;
wherein the intermediate gray level is a gray level between the target gray level and the next gray level.
6. The screen correction method of claim 4, wherein said performing gray scale adjustment on all the color gamut color coordinates corresponding to the target gray scale by using the reference data comprises:
judging whether the color gamut color coordinate corresponding to the target gray scale is within a deviation range by using the reference data;
if not, the color coordinates of the color gamut are adjusted by using the reference data;
if yes, adjusting the next gray scale.
7. The screen correction method of claim 1, wherein said calculating the test image to obtain the reference data comprises:
calculating the test image to obtain an initial correction parameter table;
judging whether the initial correction parameter table is within a preset deviation range or not;
and if so, determining the initial correction parameter table as the reference data.
8. The screen correction method according to any one of claims 1 to 7, wherein after performing gray scale adjustment on the test image with different gray scales by using the reference data, the method further comprises:
and filtering the image after the gray scale adjustment so as to complete edge fusion.
9. A screen correction apparatus, comprising:
the image receiving and form reading module is used for receiving a test image which is acquired by a camera and displayed on the LCD splicing screen and reading pre-generated reference data; the reference data correspond to the LCD splicing screens one by one;
the brightness adjusting module is used for determining test brightness according to the test image and adjusting the test brightness according to the reference data so as to finish brightness adjustment of the LCD spliced screen;
the gray scale adjusting module is used for adjusting the gray scale of the test image with different gray scales by using the reference data based on the adjusted test brightness so as to realize the gray scale adjustment of the LCD splicing screen;
further comprising:
the batch module number determining module is used for determining the batch module number corresponding to the LCD splicing screen;
the target display screen determining module is used for determining a plurality of target display screens according to the quantity of the batch modules;
and the reference data acquisition module is used for receiving the test images which are acquired by the camera and displayed on the target display screens, and calculating the test images to obtain the reference data.
10. A logic board, comprising:
a memory for storing a computer program;
a processor for implementing the steps of the screen correction method according to any one of claims 1 to 8 when executing the computer program.
11. A screen correction system, comprising:
a logic board as defined in claim 10;
the driving board is used for sending a specific test sequence to the logic board so that the logic board controls the display of a test image on the LCD splicing screen;
the signal source is used for outputting the specific test sequence to the drive board;
a camera for capturing the test image.
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