CN115035851B - Gamma white balance rapid adjustment method and related device - Google Patents
Gamma white balance rapid adjustment method and related device Download PDFInfo
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- CN115035851B CN115035851B CN202210954161.9A CN202210954161A CN115035851B CN 115035851 B CN115035851 B CN 115035851B CN 202210954161 A CN202210954161 A CN 202210954161A CN 115035851 B CN115035851 B CN 115035851B
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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]
- G09G3/3208—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] organic, e.g. using organic light-emitting diodes [OLED]
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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 application discloses a method and a related device for rapidly adjusting Gamma white balance, which are used for improving the efficiency and the success rate of Gamma white balance adjustment. The method comprises the following steps: acquiring a high-brightness voltage parameter and a black screen voltage parameter of an OLED display screen; calculating an initial brightness voltage value through a dichotomy algorithm, wherein the initial brightness voltage value is the median value of the high-brightness voltage parameter and the black screen voltage parameter; acquiring a gray scale picture to be adjusted; updating the real-time brightness and chrominance data of the gray scale picture according to the initial brightness voltage value; judging whether the brightness and chrominance real-time data are in a preset range corresponding to the gray scale picture or not; if not, calculating an updated brightness voltage value through a dichotomy algorithm according to the relation between the brightness and chromaticity real-time data and a preset range, and updating the brightness and chromaticity real-time data of the gray-scale picture according to the updated brightness voltage value so as to judge again; if yes, obtaining the next gray scale picture to be adjusted for adjustment until all the gray scale pictures are adjusted.
Description
Technical Field
The application relates to the field of OLED display screens, in particular to a method and a related device for quickly adjusting Gamma white balance.
Background
The OLED display screen has been widely used in daily life of people because of its advantages of self-luminescence, high luminous efficiency, low power consumption, fast response, high definition, good flexibility, etc. In the production and manufacture of the OLED display screen, because the Gamma curves for driving different screen bodies are different due to process deviation, the Gamma white balance correction needs to be carried out on the screen bodies before delivery, and therefore, the screen bodies with better consistent characteristics can be manufactured.
In the prior art, an empirical value method and a table look-up method are often used for Gamma white balance correction of the OLED, and a difference value between a target brightness colorimetric value and an actual-measured brightness colorimetric value is calculated by calculating the target brightness colorimetric value and the actual-measured brightness colorimetric value of each gray scale picture of an OLED display screen, and then the difference value is compensated into a register of a red, green and blue channel of the OLED display screen according to experience. However, due to differences between different screen bodies, under the condition that the difference between the target brightness colorimetric value and the measured brightness colorimetric value is small, or when the algorithm control quantity and the regulated quantity are not adapted to be consistent, the situation that the algorithm is abnormal often occurs in the regulating process, and then the white balance regulation is not passed, namely the existing Gamma white balance correction algorithm has the problems of low regulation efficiency and low regulation success rate.
Disclosure of Invention
The application provides a method and a related device for rapidly adjusting Gamma white balance, which are used for improving the efficiency and the success rate of Gamma white balance adjustment.
The first aspect of the present application provides a method for rapidly adjusting Gamma white balance, including:
acquiring a high-brightness voltage parameter and a black screen voltage parameter of an OLED display screen;
calculating an initial brightness voltage value through a binary algorithm, wherein the initial brightness voltage value is a median value of the high-brightness voltage parameter and the black-screen voltage parameter;
acquiring a gray scale picture to be adjusted;
updating the real-time brightness and chromaticity data of the gray scale picture according to the initial brightness voltage value;
judging whether the brightness and chromaticity real-time data are in a preset range corresponding to the gray scale picture;
if not, calculating an updated brightness voltage value according to the relation between the brightness and chrominance real-time data and the preset range through a binary algorithm, and updating the brightness and chrominance real-time data of the gray-scale picture according to the updated brightness voltage value to judge again, wherein the updated brightness voltage value is the median value of the brightness voltage value obtained by the last calculation and the high-brightness voltage parameter, or the brightness voltage value obtained by the last calculation and the median value of the black screen voltage parameter;
and if so, acquiring the next gray scale picture to be adjusted for adjustment until all gray scale pictures are adjusted.
Optionally, after the obtaining of the gray scale picture to be adjusted, before the determining whether the real-time luminance and chrominance data is within the preset range corresponding to the gray scale picture, the method further includes:
acquiring target parameters corresponding to the gray scale picture;
calculating a picture minimum range parameter and a picture maximum range parameter according to the target parameter and a preset error;
the judging whether the real-time brightness and chrominance data are in the preset range corresponding to the gray scale picture or not comprises the following steps:
and judging whether the brightness and chrominance real-time data is larger than the picture minimum range parameter and smaller than the picture maximum range parameter.
Optionally, when it is determined that the real-time luminance and chrominance data is less than or equal to the picture minimum range parameter, the updated luminance voltage value is a median value between the luminance voltage value obtained by the last calculation and the high luminance voltage parameter.
Optionally, when it is determined that the real-time luminance and chrominance data is greater than or equal to the maximum frame range parameter, the updated luminance voltage value is a median value of the luminance voltage value obtained by the last calculation and the black screen voltage parameter.
Optionally, the calculating, according to the relationship between the real-time luminance and chrominance data and the preset range, an updated luminance voltage value by a binary algorithm includes:
defining left and right boundaries of a first array according to the brightness voltage value obtained by the last calculation and the high-brightness voltage parameter, and defining left and right boundaries of a second array according to the brightness voltage value obtained by the last calculation and the black screen voltage parameter;
sorting the first array and the second array respectively;
calculating the median values of the first array and the second array respectively;
and determining the median of the first array as an updated brightness voltage value according to the relation between the real-time brightness and chromaticity data and the preset range, or determining the median of the second array as an updated brightness voltage value.
Optionally, the updating of the real-time data of the luminance and the chrominance of the grayscale picture according to the initial luminance voltage value includes:
converting the initial brightness voltage value into a brightness voltage of a red channel, a green channel and a blue channel;
and setting a screen body through the brightness voltage of the red, green and blue channels, and measuring the brightness and chromaticity real-time data of the gray scale picture.
Optionally, if the calculated brightness voltage value is 0, the adjustment is exited and an algorithm error event is generated.
The second aspect of the present application provides a device for rapidly adjusting Gamma white balance, comprising:
the first acquisition unit is used for acquiring a high-brightness voltage parameter and a black-screen voltage parameter of the OLED display screen;
the calculating unit is used for calculating an initial brightness voltage value through a binary algorithm, wherein the initial brightness voltage value is a median value of the high-brightness voltage parameter and the black screen voltage parameter;
the second acquisition unit is used for acquiring a gray scale picture to be adjusted;
the updating unit is used for updating the real-time brightness and chrominance data of the gray scale picture according to the initial brightness voltage value;
the judging unit is used for judging whether the brightness and chromaticity real-time data are in a preset range corresponding to the gray scale picture;
the computing unit is further to: when the judgment result of the judgment unit is negative, calculating an updated brightness voltage value through a binary algorithm according to the relation between the brightness and chromaticity real-time data and the preset range, wherein the updated brightness voltage value is the median value of the brightness voltage value obtained by the last calculation and the high-brightness voltage parameter, or the median value of the brightness voltage value obtained by the last calculation and the black screen voltage parameter;
the update unit is further configured to: updating the real-time brightness and chromaticity data of the gray scale picture according to the updated brightness voltage value so as to enable the judging unit to judge again;
and when the judgment result of the judgment unit is yes, adjusting the next gray scale picture to be adjusted through the second acquisition unit, the updating unit, the judgment unit and the calculation unit until all gray scale pictures are adjusted.
Optionally, the apparatus further comprises:
the range determining unit is used for acquiring a target parameter corresponding to the gray scale picture and calculating a picture minimum range parameter and a picture maximum range parameter according to the target parameter and a preset error;
the judgment unit is specifically configured to:
and judging whether the brightness and chrominance real-time data is larger than the picture minimum range parameter and smaller than the picture maximum range parameter.
Optionally, when the determining unit determines that the real-time luminance and chrominance data is less than or equal to the parameter of the minimum range of the picture, the updated luminance voltage value calculated by the calculating unit is a median value of the luminance voltage value and the parameter of the high luminance voltage, which are obtained by the last calculation.
Optionally, when the determining unit determines that the real-time luminance and chrominance data is greater than or equal to the maximum frame range parameter, the updated luminance voltage value calculated by the calculating unit is a median value of the luminance voltage value obtained by the last calculation and the black screen voltage parameter.
Optionally, the computing unit is specifically configured to:
defining left and right boundaries of a first array according to the brightness voltage value obtained by the last calculation and the high-brightness voltage parameter, and defining left and right boundaries of a second array according to the brightness voltage value obtained by the last calculation and the black screen voltage parameter;
sorting the first array and the second array respectively;
calculating the median values of the first array and the second array respectively;
and determining the median of the first array as an updated brightness voltage value or determining the median of the second array as an updated brightness voltage value according to the relation between the brightness and chromaticity real-time data and the preset range.
Optionally, the updating unit is specifically configured to:
converting the initial brightness voltage value into brightness voltage of a red channel, a green channel and a blue channel;
and setting a screen body through the brightness voltage of the red, green and blue channels, and measuring the brightness and chromaticity real-time data of the gray scale picture.
Optionally, if the brightness voltage value calculated by the calculation unit is 0, the adjustment is exited and an algorithm error event is generated.
A third aspect of the present application provides a device for fast Gamma white balance adjustment, where the device includes:
the device comprises a processor, a memory, an input and output unit and a bus;
the processor is connected with the memory, the input and output unit and the bus;
the memory stores a program, and the processor calls the program to execute the first aspect and the method for rapidly adjusting the Gamma white balance, which is optional in any one of the first aspect.
A fourth aspect of the present application provides a computer-readable storage medium, which stores a program that, when executed on a computer, performs the method for Gamma white balance fast adjustment optional for the first aspect and any one of the first aspect.
According to the technical scheme, the method has the following advantages:
the method for adjusting the Gamma white balance quickly comprises the steps of firstly setting a high-brightness voltage parameter and a black-screen voltage parameter of a screen body, calculating through a binary algorithm to obtain an initial brightness voltage value, for each gray scale picture to be adjusted, lighting the picture through the initial brightness voltage value, then collecting brightness and chrominance data of the picture, judging whether the brightness and chrominance data are in a preset range, if not, calculating an updated brightness voltage value through the current brightness voltage value and the high-brightness voltage parameter or the current brightness voltage value and the black-screen voltage parameter, continuously repeating the processes until the brightness and chrominance real-time data of the gray scale picture are in the preset range, and then adjusting the next gray scale picture.
Due to the setting mechanism of the initial voltage, the problem that data acquisition of the colorimeter is slow under a full black picture can be avoided, and the risk of overtime of the algorithm is reduced. Furthermore, the voltage parameter to be regulated is continuously calculated through a dichotomy algorithm, abnormal adjustment caused by screen body difference or colorimeter product difference can be avoided, abnormal conditions of the algorithm are reduced, the regulation efficiency is high, the regulation success rate is high, and the application range is wide.
Drawings
In order to more clearly illustrate the technical solutions in the present application, the drawings required for the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art that other drawings may be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic flow chart of an embodiment of a method for rapidly adjusting Gamma white balance provided in the present application;
fig. 2 is a schematic flow chart of another embodiment of a method for rapidly adjusting Gamma white balance provided by the present application;
fig. 3 is a schematic structural diagram of an embodiment of the device for rapidly adjusting Gamma white balance provided in the present application;
fig. 4 is a schematic structural diagram of another embodiment of a device for rapidly adjusting Gamma white balance provided by the present application.
Detailed Description
The application provides a method and a related device for rapidly adjusting Gamma white balance, which are used for improving the efficiency and the success rate of Gamma white balance adjustment.
It should be noted that the method for rapidly adjusting the Gamma white balance provided by the present application may be applied to a terminal, and may also be applied to a server, for example, the terminal may be a fixed terminal such as a smart phone or a computer, a tablet computer, a smart television, a smart watch, a portable computer terminal, or a desktop computer. For convenience of explanation, the terminal is taken as an execution subject for illustration in the present application.
Referring to fig. 1, fig. 1 is a diagram illustrating an embodiment of a method for fast adjusting Gamma white balance, the method including:
101. acquiring a high-brightness voltage parameter and a black screen voltage parameter of the OLED display screen;
at present, the brightness and chromaticity of a series of target RGB (red, green and blue) of an OLED display screen are required to be adjusted in the Gamma white balance correction process, and the driving voltage and current of the OLED are controlled mainly by continuously adjusting corresponding register values of red, green and blue channels in a screen body IC (integrated circuit), so that the brightness of red, green and blue primary colors of the OLED screen is influenced until the requirements of specifications are met, and the aim of adjustment is fulfilled. The luminance of the OLED is related to the driving voltage, and generally, the current density is slowly increased and the screen luminance is also slowly increased at a low driving voltage, while the luminance is rapidly increased along with a sharp increase in the current density at the time of high voltage driving.
For different OLED display screens, the screen bodies of the OLED display screens are different, so that before white balance adjustment is carried out, initial image cutting picture collection needs to be carried out on the product through the formula parameters of the product, and voltage parameters of the brightest and darkest pictures of the product are recorded respectively, namely the high-brightness voltage parameter K in the application L And black screen voltage parameter K D 。
102. Calculating an initial brightness voltage value through a dichotomy algorithm, wherein the initial brightness voltage value is the median value of the high-brightness voltage parameter and the black screen voltage parameter;
the terminal passes through the high-brightness voltage parameter K of the OLED display screen L And black screen voltage parameter K D Calculating an initial luminance voltage value K by a dichotomy algorithm me And storing the initial brightness voltage value K me . Specifically, the initial brightness voltage value is a high brightness voltage parameter K L And black screen voltage parameter K D The median value of (a). It should be noted that the luminance voltage value in the present application is Gamma voltage.
103. Acquiring a gray scale picture to be adjusted;
the gray scale picture is obtained by dividing brightness change between the brightest brightness and the darkest brightness of the OLED display screen into a plurality of parts, and in the white balance adjustment process, the gray scale pictures are required to be selected one by one from the gray scale pictures with different brightness levels from the darkest brightness to the brightest brightness for adjustment, so that in practical application, each gray scale picture with the brightness from the darkest brightness to the brightest brightness can be adjusted, only a specified gray scale picture can be adjusted, and the specific point is not limited.
In this embodiment, the terminal acquires the gray-scale picture to be adjusted, actually traverses all the gray-scale pictures, and screens out the gray-scale pictures which are not adjusted or do not meet the adjustment standard for adjustment, specifically, the terminal may perform traversal selection of the gray-scale pictures in a bright-to-dark manner, or may perform traversal selection in other manners, and specifically, the terminal is not limited herein. It should be noted that, if the gray scale picture to be adjusted cannot be traversed in step 103, which indicates that all the gray scale pictures are adjusted, the process goes to step 107 to exit the adjustment process.
In some specific embodiments, after each gray scale picture is adjusted, the terminal can mark the gray scale picture through the special identifier, so that the terminal can directly screen unadjusted gray scale pictures in all gray scale pictures according to the special identifier in the subsequent traversal process, and the traversal efficiency is improved. In other specific embodiments, not all gray scale pictures need to be adjusted, the worker can mark the gray scale pictures needing to be adjusted in advance, and the terminal only selects the gray scale pictures from the gray scale pictures needing to be adjusted according to the marks.
104. Updating the real-time brightness and chrominance data of the gray scale picture according to the brightness voltage value;
for each gray scale picture to be adjusted, the terminal presets according to the initial brightness voltage value calculated in step 102, that is, the initial brightness voltage value K is used me Setting a screen body, lightening the screen body and measuring by a colorimeter to obtain brightness and chroma real-time data of a current gray scale picture: m is a group of L ，M x ，M y The problem that data acquisition of the colorimeter is slow under a full black picture can be avoided through the initial voltage presetting process.
It should be noted that after the gray scale picture to be adjusted is obtained, the terminal firstly obtains the initial brightness voltage value K me Presetting, namely, firstly updating real-time luminance and chrominance data by using an initial luminance voltage value (a median value of a high-luminance voltage parameter and a black screen voltage parameter), and then obtaining an updated luminance voltage value K according to subsequent calculation in the adjusting process me ' (median of last brightness voltage value and highlight voltage parameter, or median of last brightness voltage value and black screen voltage parameter) to continuously update the real-time data M L ，M x ，M y 。
105. Judging whether the brightness and chrominance real-time data are in a preset range corresponding to the gray scale picture, if not, executing the step 106, and if so, returning to the step 104;
before the judgment, the terminal acquires a preset range corresponding to the gray scale picture, wherein the preset range is specifically a preset range of the brightness and the chromaticity of the current gray scale picture, namely a target value of the brightness and the chromaticity in the current gray scale picture, and the preset range can be obtained through a formula of a product.
The terminal then determines the real-time luminance and chrominance data M obtained in step 103 L ，M x ，M y Whether the gray scale image is in the preset range or not, if not, the current gray scale image does not meet the requirements and needs to be adjusted, so that the step 105 is executed for adjustment; if the gray scale picture meets the requirement within the preset range, the related parameters are stored, the step 103 is returned to, and the next gray scale picture to be adjusted is obtained for adjustment until all the gray scale pictures are adjusted.
106. Calculating an updated brightness voltage value through a dichotomy algorithm according to the relation between the brightness and chrominance real-time data and a preset range, and returning to the step 104 to update the brightness and chrominance real-time data of the gray scale picture according to the updated brightness voltage value so as to judge again;
when the real-time data of the brightness and the chroma of the gray-scale picture is not in the preset range (does not reach the target value), the terminal transmits the real-time data of the brightness and the chroma to the terminalCalculating the next updated brightness voltage value K by a dichotomy algorithm according to the relation with the preset range me ', updated luminance voltage value K me The' is the median of the brightness voltage value (the current brightness voltage value) obtained by the last calculation and the high brightness voltage parameter, or the median of the brightness voltage value obtained by the last calculation and the black screen voltage parameter. Then according to the updated brightness voltage value K obtained by calculation me And resetting the screen body, and measuring the real-time brightness and chromaticity data of the gray scale picture again to judge again, namely returning to the step 104, and repeating the process continuously until the real-time brightness and chromaticity data of the gray scale picture is in the preset range.
107. And when no gray scale picture to be adjusted exists, the adjusting process is exited.
In this embodiment, when the terminal cannot traverse the gray-scale picture to be adjusted, it indicates that all the gray-scale pictures have passed the adjustment, and at this time, the adjustment process is exited and a prompt indicating that the adjustment is completed is generated.
In this embodiment, a high-brightness voltage parameter and a black-screen voltage parameter of a screen body are set first, an initial brightness voltage value is obtained through a binary algorithm, for each gray-scale picture to be adjusted, the picture is lightened through the initial brightness voltage value first, then brightness and chrominance data of the picture are collected, whether the brightness and chrominance data are within a preset range or not is judged, if not, an updated brightness voltage value is calculated through the current brightness voltage value and the high-brightness voltage parameter or the current brightness voltage value and the black-screen voltage parameter, the above processes are repeated continuously until the real-time brightness and chrominance data of the gray-scale picture are within the preset range, and then the next gray-scale picture is adjusted.
Due to the setting mechanism of the initial voltage, the problem that data acquisition of the colorimeter is slow under a full black picture can be avoided, and the risk of overtime of the algorithm is reduced. Furthermore, the voltage parameter to be regulated is continuously calculated through a dichotomy algorithm, abnormal adjustment caused by screen body difference or colorimeter product difference can be avoided, abnormal conditions of the algorithm are reduced, the regulation efficiency is high, the regulation success rate is high, and the application range is wide.
Referring to fig. 2, fig. 2 is a diagram illustrating another embodiment of the method for fast adjusting Gamma white balance, where the method includes:
201. acquiring a high-brightness voltage parameter and a black screen voltage parameter of an OLED display screen;
202. calculating an initial brightness voltage value through a dichotomy algorithm, wherein the initial brightness voltage value is the median value of the high-brightness voltage parameter and the black screen voltage parameter;
203. acquiring a gray scale picture to be adjusted;
in this embodiment, steps 201 to 203 are similar to steps 101 to 103 of the previous embodiment, and are not described again here.
204. Acquiring target parameters corresponding to the gray-scale picture;
the terminal acquires a target parameter corresponding to the gray scale picture after acquiring the gray scale picture to be adjusted, wherein the target parameter refers to a target value of the brightness and the chromaticity of the gray scale picture, and the target parameter can be obtained by searching a product formula.
205. Calculating a picture minimum range parameter and a picture maximum range parameter according to the target parameter and a preset error;
the target parameter is a fixed parameter, and the adjustment precision required by different screen bodies is different, so that the adjustment precision can be flexibly adjusted through a preset error, in practical application, the preset error is generally 3% -20%, namely, the minimum range parameter I of the picture is respectively determined by floating the target parameter by 3% -20% up and down L ，I x ，I y And picture maximum extent parameter J L ，J x ，J y 。
It should be noted that, in practical applications, step 204 and step 205 are only executed once during the adjustment process of each gray-scale screen.
206. Converting the brightness voltage value into a brightness voltage of a red channel, a green channel and a blue channel;
this step is actually the process of converting the calculated luminance value into a red, green and blue luminance voltage parameter, since the OLED display screenEach digital image is composed of many points, these points are also called pixels, each pixel can present many different colors, it is composed of red, green, blue (RGB) three sub-pixels, when adjusting the gray scale image of different colors, the voltage needed by red, green, blue three channels is different, therefore after obtaining the initial/updated brightness voltage value, it needs to convert the brightness voltage value into the brightness voltage M of red, green, blue three channels respectively ReGeBe And then setting is performed.
It should be noted that, if a single color is needed to be displayed in the RGB screen-lighting process, two other channel values, for example, a dot R color picture, need to be closed, and only the R picture value needs to be adjusted, and the other G and B need to be set to the off state.
207. Setting a screen body through the brightness voltage of a red channel, a green channel and a blue channel, and measuring the brightness and chromaticity real-time data of a gray scale picture;
the terminal obtains the red, green and blue brightness voltage M ReGeBe Then, the RGB luminance voltage M is applied through a Pattern Generator, i.e., a Pattern Generator voltage setting interface ReGeBe Setting a screen body, lighting the screen body to obtain current brightness and chroma real-time data M L ，M x ，M y 。
208. Judging whether the brightness and chrominance real-time data is larger than the picture minimum range parameter and smaller than the picture maximum range parameter, if not, executing a step 209, and if so, returning to the step 203;
the terminal judges whether the real-time data of the brightness and the chroma of the gray scale picture is larger than the minimum range parameter I of the picture or not L ，I x ，I y And is less than the maximum range parameter J of the picture L ，J x ，J y And judging whether the brightness and chrominance data of the gray scale picture is in a preset range obtained by calculating the target parameter and the preset error.
If not, then
Or
Then the brightness and the chroma of the gray scale picture are not required and need to be adjusted, so step 209 is executed to adjust;
if so, then
If the adjustment of the gray scale picture is determined to be completed, the step 203 is returned to obtain the next gray scale picture to be adjusted until all the gray scale pictures are adjusted.
209. Calculating an updated brightness voltage value through a dichotomy algorithm, and updating the real-time brightness and chromaticity data of the gray scale picture according to the updated brightness voltage value to judge again;
in the present embodiment, when the luminance and chrominance real-time data M L ，M x ，M y Not satisfying the parameter I greater than the minimum range of the picture L ，I x ，I y And is smaller than the picture maximum range parameter J L ，J x ，J y When the current value is not within the preset range, the current value needs to be discussed in two cases, and the updated brightness voltage values selected in different cases are different, which are described below:
a) Luminance chrominance real-time data M L ，M x ，M y Less than or equal to the picture minimum extent parameter I L ，I x ，I y ：
If it is
At this time, the updated brightness voltage value K me ' is the brightness voltage value K obtained by the last calculation me And a high luminance voltage parameter K L The median value of (a).
b) Luminance chrominance real-time data M L ，M x ，M y Greater than or equal to the picture maximum range parameter J L ，J x ，J y ：
If it is
At this time, the updated brightness voltage value K me ' is the brightness voltage value K obtained by the last calculation me And black screen voltage parameter K D The median value of (a).
And the terminal sets the screen body again according to the updated brightness voltage value obtained by calculation, measures the real-time brightness and chromaticity data of the gray-scale picture again for judgment, namely returns to the step 206, and repeats the process continuously until the real-time brightness and chromaticity data of the gray-scale picture is larger than the minimum range parameter of the picture and smaller than the maximum range parameter of the picture.
210. And when no gray scale picture to be adjusted exists, the adjusting process is quitted.
In this embodiment, step 210 is similar to step 107 of the previous embodiment, and is not described herein again.
In this embodiment, a high-brightness voltage parameter and a black-screen voltage parameter of a screen body are set first, an initial brightness voltage value is obtained through a binary algorithm, for each gray scale picture to be adjusted, the picture is lightened through the initial brightness voltage value, then brightness and chrominance data of the picture are collected, whether the brightness and chrominance data are larger than a picture minimum range parameter and smaller than a picture maximum range parameter is judged, if the brightness and chrominance data are smaller than the picture minimum range parameter, an updated brightness voltage value is calculated through the current brightness voltage value and the high-brightness voltage parameter, if the brightness and chrominance data are larger than the picture maximum range parameter, the updated brightness voltage value is calculated through the current brightness voltage value and the black-screen voltage parameter, the above processes are repeated continuously until the brightness and chrominance real-time data of the gray scale picture meet conditions, and then the next gray scale picture is adjusted.
Due to the setting mechanism of the initial voltage, the problem that data acquisition of the colorimeter is slow under a full black picture can be avoided, and the risk of overtime of the algorithm is reduced. Furthermore, the voltage parameters to be regulated are continuously calculated through a dichotomy algorithm, abnormal adjustment caused by screen body difference or colorimeter product difference can be avoided, abnormal conditions of the algorithm are reduced, the regulation efficiency is high, the regulation success rate is high, and the application range is wide.
The following describes in detail a specific calculation process of the dichotomy algorithm provided by the present application:
the first step is as follows: defining an array;
in order to prevent algorithm errors, left boundary and right boundary pointer data need to be defined in a binary algorithm, so that the size of an array needs to be judged, left and right boundary data needing to be calculated are taken out and are given to [ Ky Kt ];
it should be noted that, in calculating the initial luminance voltage value by the binary algorithm, ky and Kt are respectively denoted by K L And K D . However, when the updated brightness voltage value is calculated subsequently, the division is needed to separate the median value from the maximum value and the median value from the minimum value, i.e. the division idea is used to define the first array and the second array respectively.
Specifically, the first array Number1= [ K ] me K L ]Second Number group Number2= [ K ] me K D ]。
The second step: sorting the arrays;
the first array and the second array are sorted using a sorting algorithm fsort ().
The third step: calculating a median value;
K me '=（Number1[Ky]+Number1[Kt]）/2；
or K me '=（Number2[Ky]+Number2[Kt]）/2；
In addition, K is me ' how to select specifically can be seen in step 209, but both the first array and the second array need to be calculated, i.e. divide and divide the maximum value and the median value from the minimum value and the median value, and store the calculated values, and use the temporary register to store them, so that if the calculated value of one array is small, the other array can be directly used to obtain the updated brightness voltage value, thereby avoiding some conditions that the debugging does not pass.
Further, if the value calculated by the dichotomy algorithm is 0, an algorithm alarm event is generated.
Referring to fig. 3, fig. 3 is a diagram illustrating another embodiment of the apparatus for fast adjusting Gamma white balance, which includes:
the first acquiring unit 301 is configured to acquire a high-luminance voltage parameter and a black-screen voltage parameter of the OLED display screen;
a calculating unit 302, configured to calculate an initial luminance voltage value through a binary algorithm, where the initial luminance voltage value is a median value of the high luminance voltage parameter and the black screen voltage parameter;
a second obtaining unit 303, configured to obtain a gray scale picture to be adjusted;
an updating unit 304, configured to update luminance and chrominance real-time data of a grayscale picture according to the initial luminance voltage value;
a determining unit 305, configured to determine whether the luminance and chrominance real-time data is within a preset range corresponding to the grayscale frame;
the computing unit 302 is further configured to: when the judgment result of the judgment unit 305 is negative, calculating an updated brightness voltage value through a binary algorithm according to the relation between the real-time brightness and chromaticity data and the preset range, wherein the updated brightness voltage value is the median value of the brightness voltage value and the high-brightness voltage parameter obtained by the last calculation or the median value of the brightness voltage value and the black screen voltage parameter obtained by the last calculation;
the updating unit 304 is further configured to: updating the real-time data of the luminance and the chrominance of the gray scale picture according to the updated luminance voltage value so as to enable the judging unit 305 to judge again;
when the determination result of the determining unit 305 is yes, the next to-be-adjusted gray-scale picture is adjusted through the second obtaining unit 303, the updating unit 304, the determining unit 305 and the calculating unit 302 until all gray-scale pictures are adjusted.
Optionally, the apparatus further comprises:
the range determining unit 306 is configured to obtain a target parameter corresponding to the grayscale image, and calculate an image minimum range parameter and an image maximum range parameter according to the target parameter and a preset error;
the determining unit 305 is specifically configured to:
and judging whether the brightness and chrominance real-time data is larger than the picture minimum range parameter and smaller than the picture maximum range parameter.
Optionally, when the determining unit 305 determines that the real-time luminance and chrominance data is less than or equal to the minimum frame parameter, the updated luminance voltage value calculated by the calculating unit 302 is the median of the luminance voltage value and the highlight voltage parameter obtained by the last calculation.
Optionally, when the determining unit 305 determines that the real-time luminance and chrominance data is greater than or equal to the maximum frame range parameter, the updated luminance voltage value calculated by the calculating unit 302 is the median of the luminance voltage value and the black screen voltage parameter obtained by the last calculation.
Optionally, the calculating unit 302 is specifically configured to:
defining the left and right boundaries of the first array according to the brightness voltage value and the high-brightness voltage parameter obtained by the last calculation, and defining the left and right boundaries of the second array according to the brightness voltage value and the black screen voltage parameter obtained by the last calculation;
respectively sequencing the first array and the second array;
calculating the median values of the first array and the second array respectively;
and determining the median of the first array as the updated brightness voltage value according to the relation between the brightness and chrominance real-time data and the preset range, or determining the median of the second array as the updated brightness voltage value.
Optionally, the updating unit 304 is specifically configured to:
converting the initial brightness voltage value into brightness voltage of a red channel, a green channel and a blue channel;
and setting a screen body through the brightness voltage of a red channel, a green channel and a blue channel, and measuring the brightness and chromaticity real-time data of the gray scale picture.
Optionally, if the brightness voltage value calculated by the calculating unit 302 is 0, the adjustment is exited and an algorithm error event is generated.
In the device of this embodiment, the functions of each unit correspond to the steps in the method embodiments shown in fig. 1 or fig. 2, and are not described herein again.
Referring to fig. 4, fig. 4 is a diagram of an embodiment of a device for rapidly adjusting Gamma white balance, where the device includes:
a processor 401, a memory 402, an input-output unit 403, a bus 404;
the processor 401 is connected to the memory 402, the input/output unit 403, and the bus 404;
the memory 402 holds a program that the processor 401 calls to perform any of the above methods of Gamma white balance fast adjustment.
The present application also relates to a computer-readable storage medium having a program stored thereon, wherein the program, when executed on a computer, causes the computer to perform any of the above-described Gamma white balance fast adjustment methods.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed system, apparatus and method may be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of a unit is only a logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one position, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solutions of the present application, which are essential or part of the technical solutions contributing to the prior art, or all or part of the technical solutions, may be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods of the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and the like.
Claims (10)
1. A method for fast Gamma white balance adjustment, the method comprising:
acquiring a high-brightness voltage parameter and a black screen voltage parameter of an OLED display screen;
calculating an initial brightness voltage value through a binary algorithm, wherein the initial brightness voltage value is a median value of the high-brightness voltage parameter and the black-screen voltage parameter;
acquiring a gray scale picture to be adjusted;
updating the brightness and chromaticity real-time data of the gray scale picture according to the initial brightness voltage value;
judging whether the brightness and chromaticity real-time data are in a preset range corresponding to the gray scale picture;
if not, calculating an updated brightness voltage value according to the relation between the brightness and chrominance real-time data and the preset range through a binary algorithm, and updating the brightness and chrominance real-time data of the gray-scale picture according to the updated brightness voltage value to judge again, wherein the updated brightness voltage value is the median value of the brightness voltage value obtained by the last calculation and the high-brightness voltage parameter, or the brightness voltage value obtained by the last calculation and the median value of the black screen voltage parameter;
if yes, obtaining the next gray scale picture to be adjusted for adjustment until all the gray scale pictures are adjusted.
2. The method of claim 1, wherein after the obtaining of the grayscale picture to be adjusted, before the determining whether the luminance and chrominance real-time data is within a preset range corresponding to the grayscale picture, the method further comprises:
acquiring target parameters corresponding to the gray scale picture;
calculating a picture minimum range parameter and a picture maximum range parameter according to the target parameter and a preset error;
the judging whether the real-time brightness and chrominance data are in the preset range corresponding to the gray scale picture or not comprises the following steps:
and judging whether the brightness and chrominance real-time data is larger than the picture minimum range parameter and smaller than the picture maximum range parameter.
3. The method of claim 2, wherein the updated luma voltage value is a median of the last computed luma voltage value and the highlight voltage parameter when it is determined that the luma chroma real time data is less than or equal to the frame minimum range parameter.
4. The method of claim 2, wherein when it is determined that the luma chroma real-time data is greater than or equal to the picture maximum range parameter, the updated luma voltage value is a median of the last computed luma voltage value and the black screen voltage parameter.
5. The method of claim 1, wherein calculating the updated luma voltage value according to the relationship between the luma chroma real-time data and the predetermined range by a binary algorithm comprises:
defining left and right boundaries of a first array according to the brightness voltage value obtained by the last calculation and the high-brightness voltage parameter, and defining left and right boundaries of a second array according to the brightness voltage value obtained by the last calculation and the black screen voltage parameter;
sorting the first array and the second array respectively;
calculating the median values of the first array and the second array respectively;
and determining the median of the first array as an updated brightness voltage value or determining the median of the second array as an updated brightness voltage value according to the relation between the brightness and chromaticity real-time data and the preset range.
6. The method of any of claims 1-5, wherein the updating the luma chroma real-time data of the grayscale picture according to the initial luma voltage value comprises:
converting the initial brightness voltage value into brightness voltage of a red channel, a green channel and a blue channel;
and setting a screen body through the brightness voltage of the red, green and blue three channels, and measuring the brightness and chromaticity real-time data of the gray scale picture.
7. Method according to any one of claims 1 to 5, characterized in that if the calculated brightness voltage value is 0, the regulation is exited and an algorithmic error event is generated.
8. An apparatus for fast Gamma white balance adjustment, the apparatus comprising:
the first acquisition unit is used for acquiring a high-brightness voltage parameter and a black screen voltage parameter of the OLED display screen;
the calculating unit is used for calculating an initial brightness voltage value through a binary algorithm, wherein the initial brightness voltage value is a median value of the high-brightness voltage parameter and the black screen voltage parameter;
the second acquisition unit is used for acquiring a gray scale picture to be adjusted;
the updating unit is used for updating the real-time brightness and chrominance data of the gray scale picture according to the initial brightness voltage value;
the judging unit is used for judging whether the brightness and chrominance real-time data are in a preset range corresponding to the gray scale picture or not;
the computing unit is further to: when the judgment result of the judgment unit is negative, calculating an updated brightness voltage value through a binary algorithm according to the relation between the brightness and chromaticity real-time data and the preset range, wherein the updated brightness voltage value is the median value of the brightness voltage value obtained by the last calculation and the high-brightness voltage parameter or the median value of the brightness voltage value obtained by the last calculation and the black screen voltage parameter;
the update unit is further configured to: updating the real-time brightness and chromaticity data of the gray scale picture according to the updated brightness voltage value so as to enable the judging unit to judge again;
and when the judgment result of the judgment unit is yes, adjusting the next to-be-adjusted gray scale picture through the second acquisition unit, the updating unit, the judgment unit and the calculation unit until all the gray scale pictures are adjusted.
9. An apparatus for fast Gamma white balance adjustment, the apparatus comprising:
the device comprises a processor, a memory, an input and output unit and a bus;
the processor is connected with the memory, the input and output unit and the bus;
the memory holds a program that the processor calls to perform the method of any one of claims 1 to 7.
10. A computer-readable storage medium having a program stored thereon, the program, when executed on a computer, performing the method of any one of claims 1 to 7.
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