CN116823675B - OLED panel global voltage drop compensation method, device, equipment and storage medium - Google Patents

OLED panel global voltage drop compensation method, device, equipment and storage medium Download PDF

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CN116823675B
CN116823675B CN202311083525.1A CN202311083525A CN116823675B CN 116823675 B CN116823675 B CN 116823675B CN 202311083525 A CN202311083525 A CN 202311083525A CN 116823675 B CN116823675 B CN 116823675B
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picture
opr
image data
value
frame
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CN116823675A (en
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陈廷仰
廖志洋
谢玉轩
朱怡安
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Yuchuang Semiconductor Shenzhen Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/50—Image enhancement or restoration using two or more images, e.g. averaging or subtraction
    • 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]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30108—Industrial image inspection
    • G06T2207/30121—CRT, LCD or plasma display
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G2320/00—Control of display operating conditions
    • G09G2320/02—Improving the quality of display appearance
    • G09G2320/0233—Improving the luminance or brightness uniformity across the screen

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Abstract

The invention relates to a method, a device, equipment and a storage medium for compensating the global pressure drop of an OLED panel, which are used for identifying the load value of first image data by acquiring the first image data; dividing each frame of picture of the first image data equally by adopting a load value, and adjusting gray scale information of the divided pictures in the first image data by adopting an example picture to form a plurality of OPR pictures; creating an LUT table through a plurality of OPR pictures, and determining the linear internal difference of each OPR picture in the LUT table; based on the linear internal difference and the LUT table, performing OPR proportion compensation and OPR gray level compensation on each frame of picture in the first image data to obtain second image data after each frame of picture is compensated; the method and the device have the advantages of enhancing the image quality, improving the brightness uniformity of the display panel, ensuring real-time response to new image data, and greatly enhancing the visual performance and practicality of the panel.

Description

OLED panel global voltage drop compensation method, device, equipment and storage medium
Technical Field
The present invention relates to the field of display technologies, and in particular, to a method, an apparatus, a device, and a storage medium for compensating for global voltage drop of an OLED panel.
Background
OLED is an advanced display technology and is of great interest and application. However, OLED has some problems, one of which is "voltage drop across the line resistance", which can lead to non-uniformity in panel brightness. A "voltage drop" is a current flow through a resistor and when the electrical leads of an OLED panel are connected, the voltage drops, which may in some cases result in a certain part of the display being darker than the rest, resulting in non-uniformity of the brightness, as the following common solutions are known in the art:
the analog circuit design is improved, which means that the conventional circuit design is modified and optimized to reduce the voltage drop on the conductors and thus the brightness gap. By designing a new circuit architecture, the voltage drop problem is solved or a circuit for detecting the voltage drop change is designed. This means that the new circuit will have the function of detecting the voltage drop variation and compensating it appropriately to maintain brightness uniformity.
Clearly, the analog circuit design is used to compensate the driving voltage, so as to improve the uneven brightness caused by the voltage drop of the resistor, which requires increasing the cost and time of the design circuit, and there is no way to apply fine correction compensation to various special pictures.
Disclosure of Invention
The invention mainly aims to provide a method, a device, equipment and a storage medium for compensating the global pressure drop of an OLED panel, which are used for realizing the enhancement of image quality, improving the brightness uniformity of a display panel, ensuring the real-time response to new image data and greatly enhancing the visual performance and the practicability of the panel.
In order to achieve the above objective, the present invention provides a method for compensating global voltage drop of an OLED panel, which is characterized by comprising the following steps:
acquiring input first image data and identifying a load value of the first image data;
dividing each frame of picture of the first image data equally by adopting the load value, and adjusting gray scale information of the divided pictures in the first image data by adopting a preset sample picture so as to form a plurality of OPR pictures;
establishing an LUT table through a plurality of OPR pictures, and determining the linear internal difference of each OPR picture in the LUT table based on a picture load value, a picture gray value and a picture compensation value carried by each OPR picture in the LUT table;
and performing OPR proportion compensation and OPR gray level compensation on each frame of picture in the first image data based on the linear internal difference and the LUT table to obtain second image data after each frame of picture is compensated, and outputting the second image data.
Further, the step of equally dividing each frame of picture of the first image data by using the load value, and adjusting gray scale information of the equally divided picture in the first image data by using a preset example graph to form a plurality of OPR pictures includes:
identifying the total frame number of the first image data, and equally dividing the load value based on the total frame number to obtain a load fine value corresponding to each frame of picture;
a preset example graph is called to respectively carry out gray scale comparison and identification on each frame of picture based on the example graph, so as to obtain gray scale information of each frame of picture;
and adjusting each frame of picture according to the gray level load proportion of the sample graph based on the gray level information and the load fine value of each frame of picture to obtain OPR pictures corresponding to each frame of picture one by one.
Further, the step of determining a linear intra difference for each OPR picture in the LUT table includes:
converting the OPR picture in the LUT table from an RGB mode to an HSV mode;
in the HSV mode, performing OPR proportion estimation on each OPR picture by using global load calculation to obtain the gray level value and resolution of each OPR picture, wherein the OPR proportion estimation is used for calling the gray level information and the load fine value of each frame picture;
and determining a linear internal difference estimated value according to the gray scale value and the resolution of each OPR picture through the LUT table.
Further, the step of performing an OPR ratio estimation on each OPR picture by using global load calculation to obtain a gray scale value and a resolution of each OPR picture includes:
creating two-dimensional coordinates along the periphery of the center edge of each OPR picture, and calibrating gray scale information of the OPR picture by utilizing the two-dimensional coordinates;
and respectively estimating the gray level information and the load fine value of each calibrated OPR picture by adopting a gamma conversion formula, wherein the gamma conversion formula comprises the following steps:
wherein Vres and Hres are the vertical resolution and the horizontal resolution of the first image data, respectively,and representing the load sub-value of the OPR picture at the coordinate point of (i, j) on the two-dimensional coordinate, wherein L is a first estimated value of the gray scale load proportion.
Further, the step of determining a linear intra-difference estimation value according to the gray scale value and the resolution of each OPR picture through the LUT table includes:
dividing the first estimation value by the resolution product of the OPR picture, and performing normalization calculation on each OPR picture by the power of a gamma conversion formula corresponding to the maximum value, wherein the normalization calculation comprises:
wherein Lnor is the linear inner difference estimated value after the second estimation.
Further, based on the linear internal difference and LUT table, performing OPR proportion compensation and OPR gray-scale compensation on each frame of picture in the first image data to obtain second image data after each frame of picture is compensated, including:
adjusting the linear internal difference estimated values corresponding to the OPR pictures in the LUT table so as to make the linear internal difference estimated values corresponding to the OPR pictures consistent;
and correspondingly carrying out gray level information compensation and load proportion compensation of the OPR pictures by using the adjusted consistent linear internal difference estimated values through the linear relation between the gray level information and the load fraction value of each OPR picture, so as to obtain compensated second image data.
Further, after the step of outputting the second image data, the method includes:
converting the HSV mode into an RGB mode, and monitoring newly acquired image data in real time in the RGB mode;
and calling the LUT table to compensate gray scale and proportion of the image data in real time.
The invention also provides a device for compensating the global voltage drop of the OLED panel, which comprises:
the acquisition unit is used for acquiring the input first image data and identifying the load value of the first image data;
the OPR unit is used for equally dividing each frame of picture of the first image data by adopting the load value, and carrying out gray level information adjustment on the equally divided pictures in the first image data by adopting a preset sample graph so as to form a plurality of OPR pictures;
the calculating unit is used for creating an LUT table through a plurality of OPR pictures, and determining the linear internal difference of each OPR picture in the LUT table based on a picture load value, a picture gray value and a picture compensation value carried by each OPR picture in the LUT table;
and the compensation unit is used for carrying out OPR proportion compensation and OPR gray level compensation on each frame of picture in the first image data based on the linear internal difference and the LUT table, obtaining second image data after each frame of picture is compensated, and outputting the second image data.
The invention also provides a computer device, which comprises a memory and a processor, wherein the memory stores a computer program, and the processor realizes the steps of the OLED panel global pressure drop compensation method when executing the computer program.
The present invention also provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the OLED panel global pressure drop compensation method of any of the above.
The OLED panel global voltage drop compensation method, the OLED panel global voltage drop compensation device, the OLED panel global voltage drop compensation equipment and the storage medium have the following beneficial effects:
(1) The compensation method of the digital circuit is used for global voltage drop compensation, the compensation brightness can be different along with different picture loads, and the problem that the white brightness is different from the three primary color brightness components is also corrected.
(2) Improving the image quality: the input first image data is processed and compensated in multiple layers, and the finally obtained second image data shows more uniform brightness and better image quality.
(3) The brightness uniformity of the panel is greatly improved: the load value and gray scale information are adopted to adjust and compensate the image, so that the problem of uneven brightness of the OLED panel caused by voltage drop can be remarkably solved.
(4) Alleviating the effect of pressure drop problems: the problem of global pressure drop is effectively addressed by creating LUT tables and making linear intra differences and performing OPR scale estimation for each OPR picture using global load calculation.
(5) And the compensation precision is improved: when compensation is achieved, this can ensure more accurate image compensation by determining the linear intra difference for each OPR picture and performing OPR scale compensation and OPR gray scale compensation on the picture.
Drawings
FIG. 1 is a flow chart illustrating a method for OLED panel global voltage drop compensation according to an embodiment of the present invention;
FIG. 2 is a block diagram illustrating a global voltage drop compensation method for OLED panel according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of an OPR image in the method S2 for OLED panel global voltage drop compensation according to an embodiment of the invention;
FIG. 4 is a block diagram illustrating a global voltage drop compensation apparatus for OLED panels according to an embodiment of the present invention;
fig. 5 is a block diagram schematically illustrating a structure of a computer device according to an embodiment of the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Referring to fig. 1 and 2, a flow chart of a global voltage drop compensation method for an OLED panel according to the present invention includes the following steps:
s1, acquiring input first image data and identifying a load value of the first image data;
s2, equally dividing each frame of picture of the first image data by adopting the load value, and adjusting gray scale information of the equally divided picture in the first image data by adopting a preset sample graph to form a plurality of OPR pictures;
s3, creating an LUT table through a plurality of OPR pictures, and determining the linear internal difference of each OPR picture in the LUT table based on a picture load value, a picture gray value and a picture compensation value carried by each OPR picture in the LUT table;
and S4, performing OPR proportion compensation and OPR gray level compensation on each frame of picture in the first image data based on the linear internal difference and the LUT table to obtain second image data after each frame of picture is compensated, and outputting the second image data.
Specifically, first, by receiving input first image data, the data includes a series of pixels, each having a certain load value. This is an important step, as these load values provide important information for processing the picture. Then, according to the load values, each frame of picture in the first image data is equally divided. The equipartition is based on the load value of the picture, so that the whole image is uniformly processed in detail. And meanwhile, the gray level information of the equally divided pictures is adjusted by using a preset sample graph, so that a plurality of OPR pictures are formed. After several OPR pictures are taken, one LUT (Look Up Table) is created. In this table, each OPR picture carries the load value, gray value and compensation value of the picture. The presence of these corresponding values allows quick querying when proceeding to the next process. Based on the LUT table and the information contained therein, a linear intra difference, i.e. a linear estimated difference, for each OPR picture can be determined. This linear intra difference has important reference value for subsequent picture adjustment. Finally, based on the linear internal difference and the LUT table, OPR proportion compensation and OPR gray level compensation are carried out on each frame of picture in the first image data. Both of these offsets are to make necessary adjustments and improvements to the picture based on the acquired information. After the processing steps are completed, each frame of compensated picture, namely second image data, is obtained, and then the second image data is output. The problem of the whole domain pressure drop of the OLED panel is effectively solved through accurate data processing and optimization in the whole process, so that the image quality and the display effect are improved.
As shown in fig. 2, the upper diagram illustrates a framework of global pressure drop compensation. In order to compensate the brightness inconsistency caused by the global voltage drop, two compensation modules, namely a color brightness compensation module and an OPR compensation module, are used for processing. Because the brightness information is processed, a color conversion module is added at the front stage and the rear stage of OPR compensation, the RGB color gamut is converted into an HSV color gamut (color (H), purity (S), brightness (V)), the dimension of the brightness V is taken as compensation, and the HSV color gamut is converted back into the RGB color gamut after the compensation is completed. In the color brightness compensation module, the brightness of the full white is identical to the sum of the independent brightness of the R/G/B colors in the HSV color gamut. The hue is divided into 0/180 degrees for red, 60 degrees for green and 120 degrees for blue. The compensation values can be adjusted in different gray levels and different color phases, so that a two-dimensional compensation table LUT related to different gray levels and different color phases is formed. The middle is not measured with compensation value, and interpolation is used for processing. The compensation table is obtained by actually measuring the panel condition. For example, the brightness of a white 255 gray-scale picture is measured first, and the brightness of red/green/blue gray-scale 255 is measured respectively. The brightness of the color and brightness greater than that of white are found. The compensation value at this time is to decrease the gray level of the brightness V, so that the actually measured brightness of the panel is the same as the brightness value of the full white gray level 255. The saturation is used as an index of the weight, the full white represents the lowest saturation, and the compensation value is the least; and the pure color (R255/G255/B255) represents the highest saturation, the largest compensation value and the largest brightness down-press amplitude.
Referring to fig. 3, the steps of equally dividing each frame of picture of the first image data by using the load value, and adjusting gray scale information of the equally divided picture in the first image data by using a preset example graph to form a plurality of OPR pictures include:
identifying the total frame number of the first image data, and equally dividing the load value based on the total frame number to obtain a load fine value corresponding to each frame of picture;
a preset example graph is called to respectively carry out gray scale comparison and identification on each frame of picture based on the example graph, so as to obtain gray scale information of each frame of picture;
and adjusting each frame of picture according to the gray level load proportion of the sample graph based on the gray level information and the load fine value of each frame of picture to obtain OPR pictures corresponding to each frame of picture one by one.
Specifically, first, the identification of the total frame number of the first image data is referred to. Once there is a total number of frames, the load value can be averaged based on this number. That is, by uniformly distributing the total load value to each frame picture, the load fraction value corresponding to each frame picture is obtained. Next, a predetermined example graph is called. This figure is used as a reference or template in which pixels or colors with specific properties are detailed. On the basis, gray scale comparison and identification are carried out on each frame of picture, so that gray scale information of each frame of picture is obtained. In other words, each frame of picture is compared with the template map in the gray scale, so as to obtain the information of the picture in different gray scale levels. And finally, adjusting each frame of picture according to the gray level information and the load fine value of each frame of picture and the gray level load proportion of the template diagram. The adjustment is to apply the calculated gray level information and the load subdivision value to the corresponding frame pictures, so that each frame picture is properly modified and optimized. After this adjustment, the corresponding OPR picture of each frame picture will be obtained separately. These OPR pictures will continue to be used and modified in subsequent processing.
The OPR compensation method is to estimate the image load of the whole picture by using the image data, measure the OPR brightness of several fixed pictures (such as example pictures) in advance, change the gray scale data of the image brightness to reach the same brightness value when the central white 255 gray scale is measured for different OPR pictures on the panel. The difference between the changed image data and the original image is referred to herein as the offset value of the OPR. And (3) manufacturing an LUT table with compensation values corresponding to different OPR sizes, calculating the load (OPR) of each frame of picture, and finding the corresponding compensation value by using a linear internal difference mode.
In one embodiment, the step of determining the linear intra difference for each OPR picture in the LUT table includes:
converting the OPR picture in the LUT table from an RGB mode to an HSV mode;
in the HSV mode, performing OPR proportion estimation on each OPR picture by using global load calculation to obtain the gray level value and resolution of each OPR picture, wherein the OPR proportion estimation is used for calling the gray level information and the load fine value of each frame picture;
and determining a linear internal difference estimated value according to the gray scale value and the resolution of each OPR picture through the LUT table.
In this embodiment, the step of performing the OPR ratio estimation on each OPR picture by using the global load calculation to obtain the gray scale value and the resolution of each OPR picture includes:
creating two-dimensional coordinates along the periphery of the center edge of each OPR picture, and calibrating gray scale information of the OPR picture by utilizing the two-dimensional coordinates;
and respectively estimating the gray level information and the load fine value of each calibrated OPR picture by adopting a gamma conversion formula, wherein the gamma conversion formula comprises the following steps:
wherein Vres and Hres are the vertical resolution and the horizontal resolution of the first image data, respectively,and representing the load sub-value of the OPR picture at the coordinate point of (i, j) on the two-dimensional coordinate, wherein L is a first estimated value of the gray scale load proportion.
Specifically, the step of determining the linear intra-difference estimation value by using the gray scale value and the resolution of each OPR picture in the LUT table includes:
dividing the first estimation value by the resolution product of the OPR picture, and performing normalization calculation on each OPR picture by the power of a gamma conversion formula corresponding to the maximum value, wherein the normalization calculation comprises:
wherein Lnor is the linear inner difference estimated value after the second estimation.
And (3) carrying out calculation on the specific picture by using the estimation formula, so as to calculate the OPR proportion corresponding to the picture. On the panel to be corrected, this picture is displayed, finding the appropriate compensation value. For example, the brightness measured at 100% OPR is lower than the brightness measured at 25% OPR. The gray level of 25% OPR is reduced to achieve the same brightness as 100% OPR. The reduced gray level value is the offset value of the OPR. The LUT can be made by measuring a plurality of specific pictures with the proportion of OPR and the compensation value. When different images come in, the OPR picture of the new image is estimated, and the corresponding compensation value can be interpolated from the LUT. The compensation of the OPR ratio is completed, and then the measurement compensation is performed on OPR with different gray scales. Measuring the picture with different gray scales of OPR 25% and the picture with different gray scales of OPR 100%, and recording the OPR gray scale compensation weight of the panel after finding the compensation value. Then, when OPR compensation is performed, the method is divided into two stages, 1.) the OPR proportion of the image picture is calculated, and the LUT interpolation finds the proportion compensation value. 2. ) And obtaining the compensated gray scale weight according to the gray scale value interpolation of the image. And multiplying the compensation value by the gray scale weight to obtain the OPR compensation value of the image. The compensated image is the input image brightness V minus the OPR compensation value.
In one embodiment, the step of performing OPR scale compensation and OPR gray scale compensation on each frame of picture in the first image data based on the linear internal difference and LUT table to obtain second image data after each frame of picture is compensated includes:
adjusting the linear internal difference estimated values corresponding to the OPR pictures in the LUT table so as to make the linear internal difference estimated values corresponding to the OPR pictures consistent;
and correspondingly carrying out gray level information compensation and load proportion compensation of the OPR pictures by using the adjusted consistent linear internal difference estimated values through the linear relation between the gray level information and the load fraction value of each OPR picture, so as to obtain compensated second image data.
In the implementation process, firstly, the linear internal difference estimated values corresponding to all OPR pictures in the LUT are adjusted, and the estimated values are consistent. The linear interpolation is a relatively simple and practical method by which new values can be inserted between known points for more accurate computation and processing. After adjustment, the linear intra difference estimates for all OPR pictures remain consistent. This provides a more uniform computational basis for the next steps, making the processing of different pictures more consistent and comparable. Then, the gray-scale information compensation and the load proportion compensation of the OPR pictures are performed based on the linear relation between the gray-scale information and the load fraction value of each OPR picture and the adjusted uniform linear internal difference estimation value. The gray level information compensation is to adjust the brightness of each pixel by changing the gray level of the picture so as to achieve better image effect. The load proportion compensation is fine-tuned based on the original load, so that the real image condition can be reflected more.
In one embodiment, after the step of outputting the second image data, the method includes:
converting the HSV mode into an RGB mode, and monitoring newly acquired image data in real time in the RGB mode;
and calling the LUT table to compensate gray scale and proportion of the image data in real time.
The method is characterized in that when in specific implementation: first, since the RGB (red, green and blue) mode is a color mode most commonly used by televisions or computer monitors, it is more advantageous to process and display images in real time than the HSV (hue, saturation, brightness) mode, and thus, the second image data of the HSV mode is converted into the RGB mode. Such conversion does not change the content of the image, but only the way in which the color is described. Then, the newly acquired image data is monitored in real time in the RGB mode. Such real-time monitoring ensures that the latest image data is acquired so that a quick and accurate response can be made. When the image data is acquired and monitored in real time, a previously generated LUT table is called, and the information in the table is utilized to compensate gray scale and proportion of the newly acquired image data in real time. In this process, the LUT provides information on how each pixel needs to be adjusted next, and the real-time gray-scale and scale compensation is to finely adjust the image according to the real scene requirement.
Referring to fig. 4, a block diagram of a global voltage drop compensation device for an OLED panel according to the present invention includes:
an acquisition unit 1 for acquiring input first image data and identifying a load value of the first image data;
the OPR unit 2 is used for equally dividing each frame of picture of the first image data by adopting the load value, and adjusting gray-scale information of the equally divided pictures in the first image data by adopting a preset sample graph so as to form a plurality of OPR pictures;
a calculating unit 3, configured to create an LUT table by using a plurality of the OPR pictures, and determine a linear internal difference of each OPR picture in the LUT table based on a picture load value, a picture gray value, and a picture compensation value carried by each OPR picture in the LUT table;
and the compensation unit 4 is used for carrying out OPR proportion compensation and OPR gray level compensation on each frame of picture in the first image data based on the linear internal difference and the LUT table, obtaining second image data after each frame of picture is compensated, and outputting the second image data.
In this embodiment, for specific implementation of each unit in the above embodiment of the apparatus, please refer to the description in the above embodiment of the method, and no further description is given here.
Referring to fig. 5, a computer device is further provided in an embodiment of the present invention, where the computer device may be a server, and the internal structure of the computer device may be as shown in fig. 5. The computer device includes a processor, a memory, a display screen, an input device, a network interface, and a database connected by a system bus. Wherein the computer is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used to store the corresponding data in this embodiment. The network interface of the computer device is used for communicating with an external terminal through a network connection. Which computer program, when being executed by a processor, carries out the above-mentioned method.
It will be appreciated by those skilled in the art that the architecture shown in fig. 5 is merely a block diagram of a portion of the architecture in connection with the present inventive arrangements and is not intended to limit the computer devices to which the present inventive arrangements are applicable.
An embodiment of the present invention also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the above method. It is understood that the computer readable storage medium in this embodiment may be a volatile readable storage medium or a nonvolatile readable storage medium.
In summary, the input first image data is obtained, and the load value of the first image data is identified; dividing each frame of picture of the first image data equally by adopting the load value, and adjusting gray scale information of the divided pictures in the first image data by adopting a preset sample picture so as to form a plurality of OPR pictures; establishing an LUT table through a plurality of OPR pictures, and determining the linear internal difference of each OPR picture in the LUT table based on a picture load value, a picture gray value and a picture compensation value carried by each OPR picture in the LUT table; based on the linear internal difference and the LUT table, performing OPR proportion compensation and OPR gray level compensation on each frame of picture in the first image data to obtain second image data after each frame of picture is compensated, and outputting the second image data; the method and the device have the advantages of enhancing the image quality, improving the brightness uniformity of the display panel, ensuring real-time response to new image data, and greatly enhancing the visual performance and practicality of the panel.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium provided by the present invention and used in embodiments may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (SSRSDRAM), enhanced SDRAM (ESDRAM), synchronous Link DRAM (SLDRAM), memory bus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM, among others.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, apparatus, article, or method that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, apparatus, article, or method. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, apparatus, article or method that comprises the element.
The foregoing description is only of the preferred embodiments of the present invention and is not intended to limit the scope of the invention, and all equivalent structures or equivalent processes using the descriptions and drawings of the present invention or direct or indirect application in other related technical fields are included in the scope of the present invention.

Claims (7)

1. The OLED panel global voltage drop compensation method is characterized by comprising the following steps:
acquiring input first image data and identifying a load value of the first image data;
dividing each frame of picture of the first image data equally by adopting the load value, and adjusting gray scale information of the divided pictures in the first image data by adopting a preset sample picture so as to form a plurality of OPR pictures;
establishing an LUT table through a plurality of OPR pictures, and determining the linear internal difference of each OPR picture in the LUT table based on a picture load value, a picture gray value and a picture compensation value carried by each OPR picture in the LUT table; the linear inner difference is a linear estimated difference;
based on the linear internal difference and the LUT table, performing OPR proportion compensation and OPR gray level compensation on each frame of picture in the first image data to obtain second image data after each frame of picture is compensated, and outputting the second image data;
the step of equally dividing each frame of picture of the first image data by adopting the load value, and adjusting gray scale information of the equally divided picture in the first image data by adopting a preset sample graph to form a plurality of OPR pictures comprises the following steps:
identifying the total frame number of the first image data, and equally dividing the load value based on the total frame number to obtain a load fine value corresponding to each frame of picture;
a preset example graph is called to respectively carry out gray scale comparison and identification on each frame of picture based on the example graph, so as to obtain gray scale information of each frame of picture;
based on the gray level information and the load fine value of each frame of picture, adjusting each frame of picture according to the gray level load proportion of the sample graph to obtain OPR pictures corresponding to each frame of picture one by one;
the step of determining the linear intra-difference of each OPR picture in the LUT table comprises:
converting the OPR picture in the LUT table from an RGB mode to an HSV mode;
in the HSV mode, performing OPR proportion estimation on each OPR picture by using global load calculation to obtain the gray level value and resolution of each OPR picture, wherein the OPR proportion estimation is used for calling the gray level information and the load fine value of each frame picture;
determining a linear internal difference estimated value according to the gray scale value and the resolution of each OPR picture through the LUT table;
the step of performing the OPR ratio estimation on each OPR picture by using the global load calculation to obtain the gray scale value and the resolution of each OPR picture comprises the following steps:
creating two-dimensional coordinates along the periphery of the center edge of each OPR picture, and calibrating gray scale information of the OPR picture by utilizing the two-dimensional coordinates;
and respectively estimating the gray level information and the load fine value of each calibrated OPR picture by adopting a gamma conversion formula, wherein the gamma conversion formula comprises the following steps:
wherein Vres and Hres are the vertical resolution and horizontal resolution of the first image data, respectivelyThe resolution of the direction is determined by the resolution of the direction,and representing the load sub-value of the OPR picture at the coordinate point of (i, j) on the two-dimensional coordinate, wherein L is a first estimated value of the gray scale load proportion.
2. The method of claim 1, wherein determining the linear intra-difference estimate from the gray scale value and the resolution of each OPR picture via the LUT table comprises:
dividing the first estimation value by the resolution product of the OPR picture, and performing normalization calculation on each OPR picture by the power of a gamma conversion formula corresponding to the maximum value, wherein the normalization calculation comprises:
wherein Lnor is the linear inner difference estimated value after the second estimation.
3. The method of claim 2, wherein the step of performing OPR scale compensation and OPR gray scale compensation on each frame of picture in the first image data based on the linear internal difference and LUT table to obtain second image data after compensating each frame of picture comprises:
adjusting the linear internal difference estimated values corresponding to the OPR pictures in the LUT table so as to make the linear internal difference estimated values corresponding to the OPR pictures consistent;
and correspondingly carrying out gray level information compensation and load proportion compensation of the OPR pictures by using the adjusted consistent linear internal difference estimated values through the linear relation between the gray level information and the load fraction value of each OPR picture, so as to obtain compensated second image data.
4. The method of claim 3, wherein after the step of outputting the second image data, comprising:
converting the HSV mode into an RGB mode, and monitoring newly acquired image data in real time in the RGB mode;
and calling the LUT table to compensate gray scale and proportion of the image data in real time.
5. An OLED panel global voltage drop compensation device, comprising:
the acquisition unit is used for acquiring the input first image data and identifying the load value of the first image data;
the OPR unit is used for equally dividing each frame of picture of the first image data by adopting the load value, and carrying out gray level information adjustment on the equally divided pictures in the first image data by adopting a preset sample graph so as to form a plurality of OPR pictures;
the calculating unit is used for creating an LUT table through a plurality of OPR pictures, and determining the linear internal difference of each OPR picture in the LUT table based on a picture load value, a picture gray value and a picture compensation value carried by each OPR picture in the LUT table;
the compensation unit is used for carrying out OPR proportion compensation and OPR gray level compensation on each frame of picture in the first image data based on the linear internal difference and the LUT table to obtain second image data after each frame of picture is compensated, and outputting the second image data;
equally dividing each frame of picture of the first image data by adopting the load value, and adjusting gray scale information of the equally divided picture in the first image data by adopting a preset sample graph to form a plurality of OPR pictures, wherein the method comprises the following steps:
identifying the total frame number of the first image data, and equally dividing the load value based on the total frame number to obtain a load fine value corresponding to each frame of picture;
a preset example graph is called to respectively carry out gray scale comparison and identification on each frame of picture based on the example graph, so as to obtain gray scale information of each frame of picture;
based on the gray level information and the load fine value of each frame of picture, adjusting each frame of picture according to the gray level load proportion of the sample graph to obtain OPR pictures corresponding to each frame of picture one by one;
determining the linear intra-difference of each OPR picture in the LUT table includes:
converting the OPR picture in the LUT table from an RGB mode to an HSV mode;
in the HSV mode, performing OPR proportion estimation on each OPR picture by using global load calculation to obtain the gray level value and resolution of each OPR picture, wherein the OPR proportion estimation is used for calling the gray level information and the load fine value of each frame picture;
determining a linear internal difference estimated value according to the gray scale value and the resolution of each OPR picture through the LUT table;
performing OPR proportion estimation on each OPR picture by using global load calculation to obtain gray scale values and resolutions of each OPR picture, wherein the method comprises the following steps:
creating two-dimensional coordinates along the periphery of the center edge of each OPR picture, and calibrating gray scale information of the OPR picture by utilizing the two-dimensional coordinates;
and respectively estimating the gray level information and the load fine value of each calibrated OPR picture by adopting a gamma conversion formula, wherein the gamma conversion formula comprises the following steps:
wherein Vres and Hres are the vertical resolution and the horizontal resolution of the first image data, respectively,and representing the load sub-value of the OPR picture at the coordinate point of (i, j) on the two-dimensional coordinate, wherein L is a first estimated value of the gray scale load proportion.
6. A computer device comprising a memory and a processor, the memory having stored therein a computer program, characterized in that the processor, when executing the computer program, implements the steps of the OLED panel global voltage drop compensation method of any one of claims 1 to 4.
7. A computer readable storage medium having stored thereon a computer program, which when executed by a processor, implements the steps of the OLED panel global pressure drop compensation method of any one of claims 1 to 4.
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