CN114613315A - Gamma curve learning method and LED display controller - Google Patents
Gamma curve learning method and LED display controller Download PDFInfo
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- CN114613315A CN114613315A CN202011445429.3A CN202011445429A CN114613315A CN 114613315 A CN114613315 A CN 114613315A CN 202011445429 A CN202011445429 A CN 202011445429A CN 114613315 A CN114613315 A CN 114613315A
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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
- G09G3/22—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 using controlled light sources
- G09G3/30—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 using controlled light sources using electroluminescent panels
- G09G3/32—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 using controlled light sources using electroluminescent panels semiconductive, e.g. using light-emitting diodes [LED]
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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
- G09G2320/06—Adjustment of display parameters
- G09G2320/0673—Adjustment of display parameters for control of gamma adjustment, e.g. selecting another gamma curve
Abstract
The invention relates to a gamma curve learning method and an LED display controller, wherein the gamma curve learning method comprises the following steps: selecting one brightness gear from a plurality of preset brightness gears as the test working brightness of the LED display screen; selecting one of a plurality of preset gamma values to generate a corresponding standard gamma curve, carrying out gamma correction on the test image, adjusting the standard gamma curve until the difference value of the brightness and the color coordinate is less than a preset difference threshold value, and taking the adjusted gamma curve as a calibration gamma curve of the test gamma value at the brightness gear; and repeating the steps until all gamma values have calibration gamma curves in all brightness gears. By setting the target brightness and color coordinates, the method can be automatically executed while solving the problem of low gray color cast, does not need manual participation and is simple to operate; meanwhile, in practical use, the device can flexibly adapt to various gamma values and has good universality.
Description
Technical Field
The invention relates to the field of LED display screens, in particular to a gamma curve learning method and an LED display controller.
Background
The LED display screen has the advantages of bright color, high brightness, long service life, energy conservation, high gray scale, wide visual angle, customizable shape and the like, so that the LED display screen is widely applied to scenes such as traffic, commercial advertisements, information distribution, sports events, command monitoring centers and the like. There are many factors affecting the gray scale display effect of the LED display panel, and a large factor is the accuracy of Gamma correction (Gamma) in addition to control of the driving IC, precision control of the magnitude of the driving current, correction precision of luminance/chromaticity, scanning control timing, and the like.
Gamma correction results from the fact that the brightness recognizable by the human eye is not linear with the actual brightness. After Gamma correction, for example, when adjustment is performed with a Gamma value of 2.2, the progression of each gray level brightness recognized by human eyes is equidistant, and the visual special effect of human eyes can be adapted. The gamma correction can be generally performed by using the following equation. Wherein, IinFor input of gray data, IoutGamma is a Gamma value (also referred to as Gamma value) used for correction, and C is a constant.
At present, a fixed and empirical Gamma curve, such as a Gamma curve with Gamma of 2.2, is usually used to perform Gamma correction on the LED display screen. However, under the influence of factors such as the production process, the production batch and the performance of the LED lamp beads, after the gamma correction, it is still not guaranteed that the LED lamp beads display the standard gray scale under all gray scales. Especially, the color cast problem easily occurs in a low-gray area due to the difference of the LED lamp beads with different colors in the aspect of luminous efficiency.
In order to solve the color cast problem of the low-gray area, in the prior art, the brightness value of the three-color LED lamp bead corresponding to each gray level after gamma correction is generally adjusted step by step through a manual or color analyzer. But the existing operation only aims at a single Gamma value, and when the LED display screen uses other Gamma values, the debugging is needed again. Therefore, the existing solutions for low gray color cast cannot be automatically adjusted, and are complex to operate and not flexible enough.
Disclosure of Invention
Therefore, it is necessary to provide a gamma curve learning method and an LED display controller for solving the problems of complicated operation and incapability of automatic adjustment due to the fact that the brightness value of each gray level needs to be manually adjusted step by step when the problem of low gray color cast of the existing LED display screen is solved.
An embodiment of the present application provides a gamma curve learning method for determining a gamma curve used by an LED display screen during gamma correction, including:
selecting one brightness gear from a plurality of preset brightness gears as the test working brightness of the LED display screen;
selecting one gamma value from a plurality of preset gamma values as a test gamma value, generating a corresponding standard gamma curve according to the test gamma value, carrying out gamma correction on the test image, and outputting the test image to an LED display screen for displaying;
acquiring actual brightness and actual color coordinates of each gray scale in a display picture of the LED display screen;
if the difference value between the actual brightness and the actual color coordinate of each gray scale and the target brightness and the target color coordinate is larger than the preset difference threshold value, adjusting the standard gamma curve until the difference value is smaller than the preset difference threshold value, and taking the adjusted gamma curve as a calibration gamma curve of the test gamma value at the brightness gear;
judging whether all preset gamma values have corresponding calibration gamma curves or not under the brightness gear;
if so, summarizing calibration gamma curves of all preset gamma values under the brightness gear;
if the judgment result is negative, selecting another gamma value from the preset multiple gamma values as a test gamma value to obtain a corresponding calibration gamma curve;
judging whether all preset brightness gears have calibration gamma curves or not;
if so, summarizing calibration gamma curves under all brightness gears;
if the judgment result is negative, selecting another brightness gear from the preset multiple brightness gears to serve as the test working brightness of the LED display screen, and retesting to obtain the calibration gamma curve at the brightness gear until all the preset brightness gears have the calibration gamma curve.
In some embodiments, the step of obtaining the actual brightness and the actual color coordinate of each gray scale in the display image of the LED display screen specifically includes:
and acquiring a shot image of a display picture of the LED display screen, and identifying the shot image to obtain the actual brightness and the actual color coordinate of each gray scale.
In some embodiments, the test image comprises a plurality of frames of images, each frame of images corresponding to a gray level of display data.
In some embodiments, the test image is a frame image including display data for all gray levels.
In some embodiments, further comprising:
and fitting the calibration gamma curves under all brightness gears to obtain a calibration gamma formula.
Another embodiment of the present application further provides an LED display controller for determining a gamma curve used by an LED display screen during gamma correction, including:
the test brightness selection unit is used for selecting one brightness gear from a plurality of preset brightness gears as the test working brightness of the LED display screen;
the gamma correction unit is used for selecting one gamma value from a plurality of preset gamma values as a test gamma value, generating a corresponding standard gamma curve according to the test gamma value, carrying out gamma correction on the test image and outputting the test image to the LED display screen for displaying;
the display effect acquisition unit is used for acquiring the actual brightness and the actual color coordinates of each gray scale in the display picture of the LED display screen;
the gamma adjusting unit is used for adjusting the standard gamma curve if the difference value between the actual brightness and the actual color coordinate of each gray scale and the target brightness and the target color coordinate is larger than a preset difference threshold value, until the difference value is smaller than the preset difference threshold value, and taking the adjusted gamma curve as a calibration gamma curve of the test gamma value under the brightness gear;
the result judging unit is used for judging whether all the preset gamma values have corresponding calibration gamma curves or not under the brightness gear; if so, summarizing calibration gamma curves of all preset gamma values under the brightness gear; if the judgment result is negative, triggering the gamma correction unit, and selecting another gamma value from a plurality of preset gamma values as a test gamma value;
the collecting unit is used for judging whether all preset brightness gears have calibration gamma curves or not; if so, summarizing calibration gamma curves under all brightness gears; if the judgment result is negative, triggering a test brightness selection unit, selecting another brightness gear from a plurality of preset brightness gears to serve as the test working brightness of the LED display screen, and retesting to obtain the calibration gamma curve at the brightness gear until all the preset brightness gears have the calibration gamma curve.
In some embodiments, the data training unit is further included, and is configured to perform data training on the calibration gamma curves in all brightness levels to obtain a reference gamma curve and adjustment coefficients for different brightness levels and different gamma values.
An embodiment of the present application further provides an LED display system, which includes a measuring device, an LED display screen and an LED display controller, where the LED display controller controls display content and display effect of the LED display screen, and the LED display controller obtains the display effect of the LED display screen through the measuring device; the LED display controller is the LED display controller in any one of the previous embodiments.
In some embodiments, the measuring device is a color analyzer for measuring actual brightness and actual color coordinates of each gray scale in a picture displayed by the LED display screen; and the LED display controller acquires the actual brightness and the actual color coordinates of each gray scale in the picture displayed by the LED display screen from the measuring device.
Another embodiment of the present application further provides a storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the gamma curve learning method according to any one of the preceding embodiments.
According to the gamma curve learning method provided by the embodiment of the application, different brightness gears are set, and the gamma curves corresponding to the gamma values are corrected by adjusting the actual brightness and the actual color coordinates of the gray scales to the target brightness and color coordinates at each brightness gear, so that calibration gamma curves corresponding to different brightness gears and different gamma values are obtained; in practical use, the corresponding calibration gamma curve can be matched and used for gamma correction directly according to the brightness gear and the gamma value set by the LED display screen, and the expected gray scale display effect can be obtained. According to the gamma curve learning method, the target brightness and the color coordinates are set, so that the problem of low gray color cast is solved, automatic execution can be realized, manual participation is not needed, and the operation is simple; meanwhile, various gamma values can be flexibly adapted, and the universality is good.
Drawings
FIG. 1 is a schematic diagram of a frame structure of an LED display system suitable for the gamma curve learning method of the present application;
FIG. 2 is a flowchart illustrating a gamma curve learning method according to an embodiment of the present application;
FIG. 3 is a diagram illustrating gamma curve adjustment values of three primary colors at different gamma values for the 400 gray level;
FIG. 4 is a schematic diagram illustrating a comparison between a red calibration gamma curve and a standard gamma curve at a gamma value of 2.2 and different brightness levels;
fig. 5 is a schematic diagram of a frame structure of an LED display system according to an embodiment of the present application.
Detailed Description
So that the manner in which the above recited objects, features and advantages of the present invention can be understood in detail, a more particular description of the invention, briefly summarized above, may be had by reference to the embodiments thereof which are illustrated in the appended drawings. In addition, the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention.
As shown in fig. 2, an embodiment of the present application discloses a gamma curve learning method for determining a gamma curve used by an LED display screen during gamma correction, including:
s100, selecting one brightness gear from a plurality of preset brightness gears as the test working brightness of the LED display screen;
fig. 1 shows an LED display system to which the solution of the present embodiment is applied, which includes an LED display screen 30, an LED display controller 10, and a measuring device 20, wherein the LED display controller 10 can control the display content and the display effect of the LED display screen 30; the measuring device 20 is used for measuring the display effect of the LED display screen 30.
The following takes the LED display controller 10 as an example of an implementation subject of the gamma curve learning method of the present embodiment, and a detailed description is given to the scheme of the present embodiment. It is understood that the solution of the present embodiment may also be executed by other devices/systems.
According to the maximum brightness supported by the LED display screen 30, a plurality of brightness levels may be set, and different brightness levels are different proportional values of the maximum brightness. For example, taking the maximum brightness supported by the LED display 30 as 1500nit, 4 brightness steps may be provided, which are 20%, 50%, 75% and 100% of the maximum brightness, respectively. It can be understood that the number of the brightness steps and the proportional value of each brightness step can be determined according to actual needs.
In step S100, one of the preset brightness levels is selected as the test working brightness of the LED display screen, and the brightness of the LED display screen 30 is adjusted to the selected brightness level. In this way, the subsequent steps are performed at the selected brightness level to obtain calibration gamma curves of all preset gamma values at the brightness level. And then selecting other brightness gears, and repeating the same steps until obtaining calibration gamma curves of all preset gamma values under all brightness gears.
S200, selecting one gamma value from a plurality of preset gamma values as a test gamma value, generating a corresponding standard gamma curve according to the test gamma value, carrying out gamma correction on a test image, and outputting the test image to an LED display screen for displaying;
s300, acquiring actual brightness and actual color coordinates of each gray scale in a display picture of the LED display screen;
the test image includes display data for all gray levels. The actual brightness and the actual color coordinates of each gray scale at least comprise the actual brightness and the actual color coordinates of red, green and blue. Correspondingly, LED lamp beads with different colors can have different gamma curves.
For example, the test image may be a plurality of frames of images, each frame of images corresponding to a gray scale of display data, each display data including at least a red, green, and blue monochrome area.
The measuring device 20, which may be a color analyzer, may directly measure actual brightness and actual color coordinates of each gray scale in the image displayed by the LED display screen. The actual luminance and the actual color coordinates in step S300 can be obtained from the measuring device 20. Specifically, when the LED display screen displays the display data corresponding to each gray scale, the measuring device 20 measures the actual brightness and the actual color coordinates of the corresponding gray scale.
The measuring device 20, which may also be a camera, may take images of the display of the LED display. Then, the LED display controller 10 recognizes the photographed image to obtain the actual luminance and the actual color coordinates of each gray scale. The step S300 may specifically be acquiring a shot image of a display picture of the LED display screen, and identifying the shot image to obtain actual brightness and actual color coordinates of each gray scale.
For example, each frame of image in the test image may also include display data with a plurality of gray scales, and the display data with different gray scales may be distributed in different image areas. The actual brightness and the actual color coordinates of each gray scale can be measured directly aiming at the image area of the corresponding gray scale.
In the previous embodiments, the test images each include multiple frames of images, and gamma correction, display, and measurement are performed multiple times. In order to simplify the operation processes in steps S200 and S300, the test image may be only one frame image including display data of all gray scales. The display data of different gray scales are distributed in different image areas. Therefore, the actual brightness and the actual color coordinates of each gray scale can be obtained only by performing gamma correction, display and measurement on one frame of image.
S410, if the difference value between the actual brightness and the actual color coordinate of each gray scale and the target brightness and the target color coordinate is judged to be larger than a preset difference threshold value, adjusting the standard gamma curve until the difference value is smaller than the preset difference threshold value, and taking the adjusted gamma curve as a calibration gamma curve of the test gamma value at the brightness level;
the target brightness and the target color coordinates may be set in advance. In particular, for the problem of low gray color cast in the background art, the target brightness and the target color coordinates in low gray can be accurately set to avoid low gray color cast.
Fig. 3 shows an example of adjusting the standard gamma curve when the difference between the actual brightness and the actual color coordinate and the target brightness and the target color coordinate is greater than the preset difference threshold value at a gray level. As shown in fig. 3, under different gamma values and the same gray scale, the gamma curves of different colors may adopt different adjustment values in order to achieve the target brightness and the target color coordinates.
It can be understood that, if the difference between the actual brightness and the actual color coordinate of each gray scale corresponding to the standard gamma curve and the target brightness and the target color coordinate is less than or equal to the preset difference threshold, the standard gamma curve can be directly used as the calibration gamma curve of the test gamma value at the brightness level.
S500, judging whether all preset gamma values have corresponding calibration gamma curves or not in the brightness gear;
s610, if the judgment result is yes, summarizing calibration gamma curves of all preset gamma values under the brightness gear;
s620, if the judgment result is negative, selecting another gamma value from the preset multiple gamma values as a test gamma value to obtain a corresponding calibration gamma curve;
s700, judging whether all preset brightness gears have calibration gamma curves or not;
s810, if the judgment result is yes, summarizing calibration gamma curves under all brightness gears;
fig. 4 shows the difference between the calibration gamma curve and the standard gamma curve corresponding to red color at the same gamma value (gamma value of 2.2) in different brightness levels.
S820, if the judgment result is negative, selecting another brightness gear from the preset multiple brightness gears to serve as the test working brightness of the LED display screen, and testing again to obtain the calibration gamma curve at the brightness gear until all the preset brightness gears have the calibration gamma curve.
According to the gamma curve learning method provided by the embodiment of the application, different brightness gears are set, and the gamma curves corresponding to the gamma values are corrected by adjusting the actual brightness and the actual color coordinates of the gray scales to the target brightness and color coordinates at each brightness gear, so that calibration gamma curves corresponding to different brightness gears and different gamma values are obtained; in practical use, the corresponding calibration gamma curve can be matched and used for gamma correction directly according to the brightness gear and the gamma value set by the LED display screen, and the expected gray scale display effect can be obtained. According to the gamma curve learning method, the target brightness and the color coordinates are set, so that the low gray color cast is solved, automatic execution can be realized, manual participation is not needed, and the operation is simple; meanwhile, various gamma values can be flexibly adapted, and the universality is good.
In some embodiments, the gamma curve learning method may further include:
and performing data training on the calibration gamma curves in all brightness gears to obtain a reference gamma curve and adjustment coefficients of different brightness gears and different gamma values.
Therefore, the storage space requirement of the calibration gamma curve can be reduced, and the required calibration gamma curve can be quickly obtained through the reference gamma region and the adjustment coefficient in practical use.
In some embodiments, the calibration gamma curves in all brightness levels can also be fitted to obtain a calibration gamma formula. When the device is in actual use, the corresponding calibration gamma curve can be generated by inputting the brightness gear and the gamma value, and the storage space of the calibration gamma curve can be effectively reduced.
As shown in fig. 5, another embodiment of the present application discloses an LED display controller 10 for determining a gamma curve used by an LED display screen during gamma correction, including:
the test brightness selection unit 100 is configured to select one brightness level from a plurality of preset brightness levels as the test working brightness of the LED display screen;
the gamma correction unit 200 is configured to select one gamma value from a plurality of preset gamma values as a test gamma value, generate a corresponding standard gamma curve according to the test gamma value, perform gamma correction on the test image, and output the test image to the LED display screen for display;
the display effect obtaining unit 300 is configured to obtain actual brightness and actual color coordinates of each gray scale in a display picture of the LED display screen;
the gamma adjusting unit 410 is configured to adjust the standard gamma curve until the difference value is smaller than a preset difference threshold value if the difference value between the actual brightness and the actual color coordinate of each gray scale and the target brightness and the target color coordinate is larger than the preset difference threshold value, and use the adjusted gamma curve as a calibration gamma curve of the test gamma value at the brightness level;
a result judgment unit 500, configured to judge whether all preset gamma values have corresponding calibration gamma curves in the brightness gear; if so, summarizing calibration gamma curves of all preset gamma values under the brightness gear; if the judgment result is negative, triggering the gamma correction unit 200 to select another gamma value from the preset multiple gamma values as a test gamma value;
the collecting unit 700 is configured to determine whether a calibration gamma curve exists in all preset brightness gears; if so, summarizing calibration gamma curves under all brightness gears; if the judgment result is negative, the test brightness selection unit 100 is triggered, another brightness gear is selected from the preset multiple brightness gears to serve as the test working brightness of the LED display screen, and the test is performed again to obtain the calibration gamma curve at the brightness gear until all the preset brightness gears have the calibration gamma curve.
The specific working modes of the test brightness selecting unit 100, the gamma correcting unit 200, the display effect obtaining unit 300, the gamma adjusting unit 410, the result judging unit 500 and the summarizing unit 700 can refer to the descriptions of the steps in the foregoing method embodiments, and are not described herein again.
The LED display controller provided by the embodiment of the application can be used for automatically learning gamma curves, and the gamma curves corresponding to the gamma values are corrected by setting different brightness gears and adjusting the actual brightness and the actual color coordinates of each gray scale to the target brightness and color coordinates under each brightness gear, so that calibration gamma curves corresponding to different brightness gears and different gamma values are obtained; in practical use, the corresponding calibration gamma curve can be matched and used for gamma correction directly according to the brightness gear and the gamma value set by the LED display screen, and the expected gray scale display effect can be obtained. The LED display controller of the embodiment can automatically execute the learning scheme of the gamma curve without manual participation by setting the target brightness and color coordinates while solving the problem of low gray color cast, and is simple to operate; meanwhile, various gamma values can be flexibly adapted, and the universality is good.
In some embodiments, the LED display controller 10 may further include a data training unit, configured to perform data training on the calibration gamma curves in all brightness steps to obtain a reference gamma curve and adjustment coefficients for different brightness steps and different gamma values. Therefore, the storage space requirement of the calibration gamma curve can be reduced, and the required calibration gamma curve can be quickly obtained through the reference gamma region and the adjustment coefficient in practical use.
In some embodiments, the LED display controller 10 may further include a fitting unit for fitting the calibration gamma curves in all brightness levels to obtain a calibration gamma formula. When the device is in actual use, the corresponding calibration gamma curve can be generated by inputting the brightness gear and the gamma value, and the storage space of the calibration gamma curve can be effectively reduced.
As shown in fig. 1 and fig. 5, another embodiment of the present application further discloses an LED display system, which includes a measuring device 20, an LED display screen 30 and an LED display controller 10, wherein the LED display controller 10 controls the display content and the display effect of the LED display screen 30, and the LED display controller 10 can obtain the display effect of the LED display screen 30 through the measuring device 20; the LED display controller 10 is the LED display controller according to any one of the embodiments.
Because the LED display controller in the embodiment is adopted, the learning scheme of the gamma curve can be automatically executed, manual participation is not needed, and the operation is simple; meanwhile, the method can be flexibly adapted to various gamma values, and has good universality.
In some embodiments, the measuring device 20, which may be a color analyzer, may directly measure the display effect of the LED display screen, that is, measure the actual brightness and the actual color coordinate of each gray scale in the image displayed by the LED display screen. At this time, the LED display controller 10 may directly obtain the actual brightness and the actual color coordinates of each gray scale in the image displayed on the LED display screen from the measuring device 20.
In some embodiments, the measuring device 20, which may also be a camera, is used to capture images of the display of the LED display screen. When the gamma curve learning method is performed, the LED display controller 10 recognizes the photographed image to obtain actual brightness and actual color coordinates of each gray scale.
Another embodiment of the present application further provides a storage medium having a computer program stored thereon, wherein the computer program realizes the gamma curve learning method according to any one of the above embodiments when executed by a processor.
The system/computer device integrated components/modules/units, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. The computer-readable storage medium may include: any entity or device capable of carrying the computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain content that is subject to appropriate increase or decrease as required by legislation and patent practice in jurisdictions, for example, in some jurisdictions, computer readable media does not include electrical carrier signals and telecommunications signals as is required by legislation and patent practice.
In the several embodiments provided in the present invention, it should be understood that the disclosed system and method may be implemented in other ways. For example, the system embodiments described above are merely illustrative, and for example, the division of the components is only one logical division, and other divisions may be realized in practice.
In addition, each functional module/component in each embodiment of the present invention may be integrated into the same processing module/component, or each module/component may exist alone physically, or two or more modules/components may be integrated into the same module/component. The integrated modules/components can be implemented in the form of hardware, or can be implemented in the form of hardware plus software functional modules/components.
It will be evident to those skilled in the art that the embodiments of the present invention are not limited to the details of the foregoing illustrative embodiments, and that the embodiments of the present invention are capable of being embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the embodiments being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned. Furthermore, it will be obvious that the term "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. Several units, modules or means recited in the system, device or terminal claims may also be implemented by one and the same unit, module or means in software or hardware. The terms first, second, etc. are used to denote names, but not any particular order.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A gamma curve learning method is used for determining a gamma curve used by an LED display screen during gamma correction, and is characterized by comprising the following steps:
selecting one brightness gear from a plurality of preset brightness gears as the test working brightness of the LED display screen;
selecting one gamma value from a plurality of preset gamma values as a test gamma value, generating a corresponding standard gamma curve according to the test gamma value, carrying out gamma correction on the test image, and outputting the test image to an LED display screen for displaying;
acquiring actual brightness and actual color coordinates of each gray scale in a display picture of the LED display screen;
if the difference value between the actual brightness and the actual color coordinate of each gray scale and the target brightness and the target color coordinate is larger than the preset difference threshold value, adjusting the standard gamma curve until the difference value is smaller than the preset difference threshold value, and taking the adjusted gamma curve as a calibration gamma curve of the test gamma value at the brightness level;
judging whether all preset gamma values have corresponding calibration gamma curves or not under the brightness gear;
if so, summarizing calibration gamma curves of all preset gamma values under the brightness gear;
if the judgment result is negative, selecting another gamma value from a plurality of preset gamma values as a test gamma value to obtain a corresponding calibration gamma curve;
judging whether calibration gamma curves exist in all preset brightness gears or not;
if so, summarizing calibration gamma curves under all brightness gears;
if the judgment result is negative, selecting another brightness gear from the preset multiple brightness gears to serve as the test working brightness of the LED display screen, and retesting to obtain the calibration gamma curve at the brightness gear until all the preset brightness gears have the calibration gamma curve.
2. The gamma curve learning method as claimed in claim 1, wherein the step of obtaining the actual brightness and the actual color coordinates of each gray scale in the display image of the LED display screen comprises:
and acquiring a shot image of a display picture of the LED display screen, and identifying the shot image to obtain the actual brightness and the actual color coordinate of each gray scale.
3. The method of claim 1, wherein the test image comprises a plurality of frames of images, each frame of images corresponding to a gray level of display data.
4. The method of claim 1, wherein the test image is a frame image including display data of all gray levels.
5. The gamma curve learning method of claim 1, further comprising:
and fitting the calibration gamma curves under all brightness gears to obtain a calibration gamma formula.
6. An LED display controller for determining a gamma curve used by an LED display screen during gamma correction, comprising:
the test brightness selection unit is used for selecting one brightness gear from a plurality of preset brightness gears to be used as the test working brightness of the LED display screen;
the gamma correction unit is used for selecting one gamma value from a plurality of preset gamma values as a test gamma value, generating a corresponding standard gamma curve according to the test gamma value, carrying out gamma correction on the test image and outputting the test image to the LED display screen for displaying;
the display effect acquisition unit is used for acquiring the actual brightness and the actual color coordinates of each gray scale in the display picture of the LED display screen;
the gamma adjusting unit is used for adjusting the standard gamma curve if the difference value between the actual brightness and the actual color coordinate of each gray scale and the target brightness and the target color coordinate is larger than a preset difference threshold value, until the difference value is smaller than the preset difference threshold value, and taking the adjusted gamma curve as a calibration gamma curve of the test gamma value at the brightness gear;
the result judging unit is used for judging whether all the preset gamma values have corresponding calibration gamma curves or not under the brightness gear; if so, summarizing calibration gamma curves of all preset gamma values under the brightness gear; if the judgment result is negative, triggering the gamma correction unit, and selecting another gamma value from a plurality of preset gamma values as a test gamma value;
the collecting unit is used for judging whether all preset brightness gears have calibration gamma curves or not; if so, summarizing calibration gamma curves under all brightness gears; if the judgment result is negative, triggering a test brightness selection unit, selecting another brightness gear from a plurality of preset brightness gears to serve as the test working brightness of the LED display screen, and retesting to obtain the calibration gamma curve at the brightness gear until all the preset brightness gears have the calibration gamma curve.
7. The LED display controller of claim 6, further comprising a data training unit for performing data training on the calibration gamma curve in all brightness levels to obtain a reference gamma curve and adjustment coefficients for different brightness levels and different gamma values.
8. An LED display system comprises a measuring device, an LED display screen and an LED display controller, wherein the LED display controller controls the display content and the display effect of the LED display screen, and the LED display controller acquires the display effect of the LED display screen through the measuring device; wherein the LED display controller is the LED display controller of claim 6 or 7.
9. The LED display system of claim 8, wherein the measuring device is a color analyzer for measuring actual brightness and actual color coordinates of each gray scale in the image displayed on the LED display screen; and the LED display controller acquires the actual brightness and the actual color coordinates of each gray scale in the picture displayed by the LED display screen from the measuring device.
10. A storage medium having stored thereon a computer program, wherein the computer program, when executed by a processor, implements the gamma curve learning method of any one of claims 1-5.
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