WO2022001383A1 - Display processing method and apparatus - Google Patents

Abstract

A display processing method and apparatus, applied to an electronic device. The method comprises: predicting a target driving current required for displaying an image to be displayed (301); determining a target grayscale calibration table on the basis of the target driving current (302); compensating, on the basis of the target grayscale calibration table, for a grayscale signal comprised in the image to be displayed to obtain a compensated image (303); and displaying the compensated image (304). The present method can reduce the probability of display distortion of the image to be displayed.

Description

Display processing method and device technical field

The present application relates to the field of electronic technology, and in particular, to a display processing method and device.

Background technique

Active-matrix organic light-emitting diode or active-matrix organic light-emitting diode (Active-matrix organic light-emitting diode, AMOLED) screens have the advantages of fast response, self-luminescence, low power consumption, etc., and have become the most popular electronic devices. mainstream display technology. The self-luminous feature of the AMOLED screen is that the brightness or color of the AMOLED screen is achieved by independently controlling the R (red)/G (green)/B (basket) sub-pixel current. The sub-pixel current is affected by the AMOLED screen display driving voltage. The larger the AMOLED screen display driving voltage, the larger the sub-pixel current and the higher the brightness, and vice versa.

The AMOLED screen display driving voltage is provided by a DC power chip (Direct current to Direct current converter, DCDC) chip, and the signal is connected to the display panel after passing through a flexible circuit board (Flexible Printed Circuit, FPC). In the process of signal transmission, due to the existence of wiring resistance, there is an obvious voltage drop, and the existence of the voltage drop will cause the display distortion problem of the picture.

SUMMARY OF THE INVENTION

Embodiments of the present application provide a display processing method and apparatus.

In a first aspect, an embodiment of the present application provides a display processing method, which is applied to an electronic device, and the method includes:

Estimate the target drive current required to display the picture to be displayed;

determining a target grayscale calibration table based on the target drive current;

calibrating the to-be-displayed picture based on the target grayscale calibration table to obtain a calibrated picture;

The post-calibration screen is displayed.

In a second aspect, an embodiment of the present application provides a display processing apparatus, which is applied to an electronic device, and the apparatus includes:

The prediction unit is used to estimate the target driving current required to display the to-be-displayed picture;

a determining unit, configured to determine a target grayscale calibration table based on the target drive current;

a calibration unit, configured to calibrate the to-be-displayed picture based on the target grayscale calibration table to obtain a calibrated picture;

a display unit, used for displaying the calibrated picture.

In a third aspect, an embodiment of the present application provides an electronic device, the electronic device includes a processor and a display screen, wherein:

The processor is used for predicting the target driving current required for displaying the picture to be displayed; determining a target grayscale calibration table based on the target driving current; calibrating the to-be-displayed picture based on the target grayscale calibration table, and obtaining Screen after calibration;

The display screen is used to display the calibrated picture.

In a fourth aspect, an embodiment of the present application provides an electronic device, including a processor, a memory, a communication interface, and one or more programs, wherein the one or more programs are stored in the memory, and are configured to be processed by the above-mentioned processing The above program includes instructions for executing steps in any method of the first aspect of the embodiments of the present application.

In a fifth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program for electronic data exchange, wherein the computer program enables a computer to execute the computer program as described in the first embodiment of the present application. In one aspect some or all of the steps described in any method.

In a sixth aspect, an embodiment of the present application provides a computer program product, wherein the computer program product includes a non-transitory computer-readable storage medium storing a computer program, and the computer program is operable to cause a computer to execute as implemented in the present application. Examples include some or all of the steps described in any method of the first aspect. The computer program product may be a software installation package.

Description of drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the accompanying drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only These are some embodiments of the present application. For those of ordinary skill in the art, other drawings can also be obtained based on these drawings without any creative effort.

1 is a schematic structural diagram of an electronic device provided by an embodiment of the present application;

2 is a schematic diagram of a software structure of an electronic device provided by an embodiment of the present application;

3 is a schematic flowchart of a display processing method provided by an embodiment of the present application;

FIG. 4 is a gray-scale distribution histogram provided by an embodiment of the present application;

5 is a schematic diagram of a correspondence between current density and brightness provided by an embodiment of the present application;

6 is a schematic diagram of the relationship between the area of a sub-pixel and SR, SG, and SB provided by an embodiment of the present application;

7 is a schematic diagram provided by an embodiment of the present application;

8 is another schematic diagram provided by an embodiment of the present application;

FIG. 9 is a schematic structural diagram of a display processing apparatus provided by an embodiment of the present application.

detailed description

The technical solutions in the embodiments of the present application will be described below with reference to the accompanying drawings.

The electronic device may be a portable electronic device that also includes other functions such as personal digital assistant and/or music player functions, such as a mobile phone, a tablet computer, a wearable electronic device (eg, a smart watch) with wireless communication capabilities, and the like. Exemplary embodiments of portable electronic devices include, but are not limited to, portable electronic devices powered by IOS systems, Android systems, Microsoft systems, or other operating systems. The above-mentioned portable electronic device may also be other portable electronic devices, such as a laptop computer (Laptop) or the like. It should also be understood that, in some other embodiments, the above-mentioned electronic device may not be a portable electronic device, but a desktop computer.

In the first part, the software and hardware operating environment of the technical solution disclosed in this application is introduced as follows.

Exemplarily, FIG. 1 shows a schematic structural diagram of an electronic device 100 . The electronic device 100 may include a processor 110, an external memory interface 120, an internal memory 121, a universal serial bus (USB) interface 130, a charging management module 140, a power management module 141, a battery 142, an antenna 1, an antenna 2 , mobile communication module 150, wireless communication module 160, audio module 170, speaker 170A, receiver 170B, microphone 170C, headphone jack 170D, sensor module 180, compass 190, motor 191, indicator 192, camera 193, display screen 194 and user Identity module (subscriber identification module, SIM) card interface 195 and so on.

It can be understood that the structures illustrated in the embodiments of the present application do not constitute a specific limitation on the electronic device 100 . In other embodiments of the present application, the electronic device 100 may include more or less components than shown, or combine some components, or separate some components, or arrange different components. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.

The processor 110 may include one or more processing units, for example, the processor 110 may include an application processor (application processor, AP), a modem processor, a graphics processor (graphics processing unit, GPU), an image signal processor (image signal processor, ISP), controller, video codec, digital signal processor (digital signal processor, DSP), baseband processor, and/or neural-network processing unit (neural-network processing unit, NPU), etc. Wherein, different processing units may be independent components, or may be integrated in one or more processors. In some embodiments, the electronic device 101 may also include one or more processors 110 . The controller can generate an operation control signal according to the instruction operation code and the timing signal, and complete the control of fetching and executing instructions. In some other embodiments, a memory may also be provided in the processor 110 for storing instructions and data. Illustratively, the memory in the processor 110 may be a cache memory. This memory may hold instructions or data that have just been used or recycled by the processor 110. If the processor 110 needs to use the instruction or data again, it can be called directly from the memory. In this way, repeated access is avoided, and the waiting time of the processor 110 is reduced, thereby improving the efficiency of the electronic device 101 in processing data or executing instructions.

In some embodiments, the processor 110 may include one or more interfaces. The interface may include an inter-integrated circuit (I2C) interface, an inter-integrated circuit sound (I2S) interface, a pulse code modulation (pulse code modulation, PCM) interface, a universal asynchronous transceiver (universal) asynchronous receiver/transmitter, UART) interface, mobile industry processor interface (mobile industry processor interface, MIPI), general-purpose input/output (GPIO) interface, SIM card interface and/or USB interface, etc. Among them, the USB interface 130 is an interface that conforms to the USB standard specification, and may specifically be a Mini USB interface, a Micro USB interface, a USB Type C interface, and the like. The USB interface 130 can be used to connect a charger to charge the electronic device 101, and can also be used to transmit data between the electronic device 101 and peripheral devices. The USB interface 130 can also be used to connect an earphone, and play audio through the earphone.

It can be understood that the interface connection relationship between the modules illustrated in the embodiments of the present application is only a schematic illustration, and does not constitute a structural limitation of the electronic device 100 . In other embodiments of the present application, the electronic device 100 may also adopt different interface connection manners in the foregoing embodiments, or a combination of multiple interface connection manners.

The charging management module 140 is used to receive charging input from the charger. The charger may be a wireless charger or a wired charger. In some wired charging embodiments, the charging management module 140 may receive charging input from the wired charger through the USB interface 130 . In some wireless charging embodiments, the charging management module 140 may receive wireless charging input through a wireless charging coil of the electronic device 100 . While the charging management module 140 charges the battery 142 , it can also supply power to the electronic device through the power management module 141 .

The power management module 141 is used for connecting the battery 142 , the charging management module 140 and the processor 110 . The power management module 141 receives input from the battery 142 and/or the charging management module 140, and supplies power to the processor 110, the internal memory 121, the external memory, the display screen 194, the camera 193, the wireless communication module 160, and the like. The power management module 141 can also be used to monitor parameters such as battery capacity, battery cycle times, battery health status (leakage, impedance). In some other embodiments, the power management module 141 may also be provided in the processor 110 . In other embodiments, the power management module 141 and the charging management module 140 may also be provided in the same device.

The wireless communication function of the electronic device 100 may be implemented by the antenna 1, the antenna 2, the mobile communication module 150, the wireless communication module 160, the modulation and demodulation processor, the baseband processor, and the like.

Antenna 1 and Antenna 2 are used to transmit and receive electromagnetic wave signals. Each antenna in electronic device 100 may be used to cover a single or multiple communication frequency bands. Different antennas can also be reused to improve antenna utilization. For example, the antenna 1 can be multiplexed as a diversity antenna of the wireless local area network. In other embodiments, the antenna may be used in conjunction with a tuning switch.

The mobile communication module 150 may provide wireless communication solutions including 2G/3G/4G/5G etc. applied on the electronic device 100 . The mobile communication module 150 may include at least one filter, switch, power amplifier, low noise amplifier (LNA) and the like. The mobile communication module 150 can receive electromagnetic waves from the antenna 1, filter and amplify the received electromagnetic waves, and transmit them to the modulation and demodulation processor for demodulation. The mobile communication module 150 can also amplify the signal modulated by the modulation and demodulation processor, and then turn it into an electromagnetic wave for radiation through the antenna 1 . In some embodiments, at least part of the functional modules of the mobile communication module 150 may be provided in the processor 110 . In some embodiments, at least part of the functional modules of the mobile communication module 150 may be provided in the same device as at least part of the modules of the processor 110 .

The wireless communication module 160 can provide applications on the electronic device 100 including wireless local area networks (WLAN) (such as wireless fidelity (Wi-Fi) networks), bluetooth (BT), global navigation Satellite system (global navigation satellite system, GNSS), frequency modulation (frequency modulation, FM), near field communication technology (near field communication, NFC), infrared technology (infrared, IR), UWB and other wireless communication solutions. The wireless communication module 160 may be one or more devices integrating at least one communication processing module. The wireless communication module 160 receives electromagnetic waves via the antenna 2 , frequency modulates and filters the electromagnetic wave signals, and sends the processed signals to the processor 110 . The wireless communication module 160 can also receive the signal to be sent from the processor 110 , perform frequency modulation on it, amplify it, and convert it into electromagnetic waves for radiation through the antenna 2 .

The electronic device 100 implements a display function through a GPU, a display screen 194, an application processor, and the like. The GPU is a microprocessor for image processing, and is connected to the display screen 194 and the application processor. The GPU is used to perform mathematical and geometric calculations for graphics rendering. Processor 110 may include one or more GPUs that execute program instructions to generate or alter display information.

The display screen 194 is used to display images, videos, and the like. Display screen 194 includes a display panel. The display panel can be a liquid crystal display (LCD), an organic light-emitting diode (OLED), an active matrix organic light emitting diode, or an active matrix organic light emitting diode (active-matrix organic light). emitting diode, AMOLED), flexible light-emitting diode (flex light-emitting diode, FLED), mini light-emitting diode (mini light-emitting diode, miniled), MicroLed, Micro-oLed, quantum dot light-emitting diode (quantum dot light emitting diodes, QLED), etc. In some embodiments, electronic device 100 may include one or more display screens 194 .

The electronic device 100 may implement a shooting function through an ISP, a camera 193, a video codec, a GPU, a display screen 194, an application processor, and the like.

The ISP is used to process the data fed back by the camera 193 . For example, when taking a photo, the shutter is opened, the light is transmitted to the camera photosensitive element through the lens, the light signal is converted into an electrical signal, and the camera photosensitive element transmits the electrical signal to the ISP for processing, and converts it into an image visible to the naked eye. ISP can also perform algorithm optimization on image noise, brightness, and skin tone. ISP can also optimize parameters such as exposure and color temperature of the shooting scene. In some embodiments, the ISP may be provided in the camera 193 .

Camera 193 is used to capture still images or video. The object is projected through the lens to generate an optical image onto the photosensitive element. The photosensitive element may be a charge coupled device (CCD) or a complementary metal-oxide-semiconductor (CMOS) phototransistor. The photosensitive element converts the optical signal into an electrical signal, and then transmits the electrical signal to the ISP to convert it into a digital image signal. The ISP outputs the digital image signal to the DSP for processing. DSP converts digital image signals into standard RGB, YUV and other formats of image signals. In some embodiments, the electronic device 100 may include one or more cameras 193 .

A digital signal processor is used to process digital signals, in addition to processing digital image signals, it can also process other digital signals. For example, when the electronic device 100 selects a frequency point, the digital signal processor is used to perform Fourier transform on the frequency point energy and so on.

Video codecs are used to compress or decompress digital video. The electronic device 100 may support one or more video codecs. In this way, the electronic device 100 can play or record videos in various encoding formats, such as: Moving Picture Experts Group (moving picture experts group, MPEG) 1, MPEG2, MPEG3, MPEG4, and so on.

The NPU is a neural-network (NN) computing processor. By drawing on the structure of biological neural networks, such as the transfer mode between neurons in the human brain, it can quickly process the input information, and can continuously learn by itself. Applications such as intelligent cognition of the electronic device 100 can be implemented through the NPU, such as image recognition, face recognition, speech recognition, text understanding, and the like.

The external memory interface 120 can be used to connect an external memory card, such as a Micro SD card, to expand the storage capacity of the electronic device 100 . The external memory card communicates with the processor 110 through the external memory interface 120 to realize the data storage function. For example, save music, video, etc. files in an external memory card.

Internal memory 121 may be used to store one or more computer programs including instructions. The processor 110 may execute the above-mentioned instructions stored in the internal memory 121, thereby causing the electronic device 101 to execute the method for displaying page elements, various applications and data processing provided in some embodiments of the present application. The internal memory 121 may include a storage program area and a storage data area. Wherein, the stored program area may store the operating system; the stored program area may also store one or more applications (such as gallery, contacts, etc.) and the like. The storage data area may store data (such as photos, contacts, etc.) created during the use of the electronic device 101 and the like. In addition, the internal memory 121 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic disk storage components, flash memory components, universal flash storage (UFS), and the like. In some embodiments, the processor 110 may cause the electronic device 101 to execute the instructions provided in the embodiments of the present application by executing the instructions stored in the internal memory 121 and/or the instructions stored in the memory provided in the processor 110 . Methods for displaying page elements, as well as other applications and data processing. The electronic device 100 may implement audio functions through an audio module 170, a speaker 170A, a receiver 170B, a microphone 170C, an earphone interface 170D, an application processor, and the like. Such as music playback, recording, etc.

The sensor module 180 may include a pressure sensor 180A, a gyro sensor 180B, an air pressure sensor 180C, a magnetic sensor 180D, an acceleration sensor 180E, a distance sensor 180F, a proximity light sensor 180G, a fingerprint sensor 180H, a temperature sensor 180J, a touch sensor 180K, and an ambient light sensor 180L, bone conduction sensor 180M, etc.

The pressure sensor 180A is used to sense pressure signals, and can convert the pressure signals into electrical signals. In some embodiments, the pressure sensor 180A may be provided on the display screen 194 . There are many types of pressure sensors 180A, such as resistive pressure sensors, inductive pressure sensors, capacitive pressure sensors, and the like. The capacitive pressure sensor may be comprised of at least two parallel plates of conductive material. When a force is applied to the pressure sensor 180A, the capacitance between the electrodes changes. The electronic device 100 determines the intensity of the pressure according to the change in capacitance. When a touch operation acts on the display screen 194, the electronic device 100 detects the intensity of the touch operation according to the pressure sensor 180A. The electronic device 100 may also calculate the touched position according to the detection signal of the pressure sensor 180A. In some embodiments, touch operations acting on the same touch position but with different touch operation intensities may correspond to different operation instructions. For example, when a touch operation whose intensity is less than the first pressure threshold acts on the short message application icon, the instruction for viewing the short message is executed. When a touch operation with a touch operation intensity greater than or equal to the first pressure threshold acts on the short message application icon, the instruction to create a new short message is executed.

The gyro sensor 180B may be used to determine the motion attitude of the electronic device 100 . In some embodiments, the angular velocity of the electronic device 100 about three axes (ie, the X, Y, and Z axes) may be determined by the gyro sensor 180B. The gyro sensor 180B can be used for image stabilization. Exemplarily, when the shutter is pressed, the gyro sensor 180B detects the shaking angle of the electronic device 100, calculates the distance that the lens module needs to compensate according to the angle, and allows the lens to offset the shaking of the electronic device 100 through reverse motion to achieve anti-shake. The gyro sensor 180B can also be used for navigation and somatosensory game scenarios.

The acceleration sensor 180E can detect the magnitude of the acceleration of the electronic device 100 in various directions (generally three axes). The magnitude and direction of gravity can be detected when the electronic device 100 is stationary. It can also be used to identify the posture of electronic devices, and can be used in applications such as horizontal and vertical screen switching, pedometers, etc.

The ambient light sensor 180L is used to sense ambient light brightness. The electronic device 100 can adaptively adjust the brightness of the display screen 194 according to the perceived ambient light brightness. The ambient light sensor 180L can also be used to automatically adjust the white balance when taking pictures. The ambient light sensor 180L can also cooperate with the proximity light sensor 180G to detect whether the electronic device 100 is in a pocket, so as to prevent accidental touch.

The fingerprint sensor 180H is used to collect fingerprints. The electronic device 100 can use the collected fingerprint characteristics to realize fingerprint unlocking, accessing application locks, taking pictures with fingerprints, answering incoming calls with fingerprints, and the like.

The temperature sensor 180J is used to detect the temperature. In some embodiments, the electronic device 100 uses the temperature detected by the temperature sensor 180J to execute a temperature processing strategy. For example, when the temperature reported by the temperature sensor 180J exceeds a threshold value, the electronic device 100 reduces the performance of the processor located near the temperature sensor 180J in order to reduce power consumption and implement thermal protection. In other embodiments, when the temperature is lower than another threshold, the electronic device 100 heats the battery 142 to avoid abnormal shutdown of the electronic device 100 caused by the low temperature. In some other embodiments, when the temperature is lower than another threshold, the electronic device 100 boosts the output voltage of the battery 142 to avoid abnormal shutdown caused by low temperature.

Touch sensor 180K, also called "touch panel". The touch sensor 180K may be disposed on the display screen 194 , and the touch sensor 180K and the display screen 194 form a touch screen, also called a “touch screen”. The touch sensor 180K is used to detect a touch operation on or near it. The touch sensor can pass the detected touch operation to the application processor to determine the type of touch event. Visual output related to touch operations may be provided through display screen 194 . In other embodiments, the touch sensor 180K may also be disposed on the surface of the electronic device 100 , which is different from the location where the display screen 194 is located.

In this embodiment of the present application, the processor 110 is configured to predict a target driving current required for displaying a picture to be displayed; determine a target grayscale calibration table based on the target driving current; The display screen is calibrated, and the calibrated screen is obtained;

The display screen 194 is used to display the calibrated picture.

It should be noted that, the processor 110 and the display screen 194 may also be used for other processes of the technology described herein, for details, please refer to the following method description.

Exemplarily, FIG. 2 shows a software structural block diagram of the electronic device 100 . The layered architecture divides the software into several layers, and each layer has a clear role and division of labor. Layers communicate with each other through software interfaces. In some embodiments, the Android system is divided into four layers, which are, from top to bottom, an application layer, an application framework layer, an Android runtime (Android runtime) and a system library, and a kernel layer. The application layer can include a series of application packages.

As shown in Figure 2, the application package can include applications such as camera, gallery, calendar, call, map, navigation, WLAN, Bluetooth, music, video, short message and so on.

The application framework layer provides an application programming interface (application programming interface, API) and a programming framework for applications in the application layer. The application framework layer includes some predefined functions.

As shown in Figure 2, the application framework layer may include window managers, content providers, view systems, telephony managers, resource managers, notification managers, and the like.

A window manager is used to manage window programs. The window manager can get the size of the display screen, determine whether there is a status bar, lock the screen, take screenshots, etc.

Content providers are used to store and retrieve data and make these data accessible to applications. The data may include video, images, audio, calls made and received, browsing history and bookmarks, phone book, etc.

The view system includes visual controls, such as controls for displaying text, controls for displaying pictures, and so on. View systems can be used to build applications. A display interface can consist of one or more views. For example, the display interface including the short message notification icon may include a view for displaying text and a view for displaying pictures.

The phone manager is used to provide the communication function of the electronic device 100 . For example, the management of call status (including connecting, hanging up, etc.).

The resource manager provides various resources for the application, such as localization strings, icons, pictures, layout files, video files and so on.

The Notification Manager enables an application to display notification information in the status bar, which can be used to convey notification-type messages, and can disappear automatically after a short pause without user interaction. For example, the notification manager is used to notify download completion, message reminders, etc. The notification manager can also display notifications in the status bar at the top of the system in the form of graphs or scroll bar text, such as notifications of applications running in the background, and notifications on the screen in the form of dialog windows. For example, text information is prompted in the status bar, a prompt sound is issued, the electronic device vibrates, and the indicator light flashes.

Android Runtime includes core libraries and a virtual machine. Android runtime is responsible for scheduling and management of the Android system.

The core library consists of two parts: one is the function functions that the java language needs to call, and the other is the core library of Android.

The application layer and the application framework layer run in virtual machines. The virtual machine executes the java files of the application layer and the application framework layer as binary files. The virtual machine is used to perform functions such as object lifecycle management, stack management, thread management, safety and exception management, and garbage collection.

A system library can include multiple functional modules. For example: surface manager (surface manager), media library (media library), 3D graphics processing library (eg: OpenGL ES), 2D graphics engine (eg: SGL), etc.

The Surface Manager is used to manage the display subsystem and provides a fusion of 2D and 3D layers for multiple applications.

The media library supports playback and recording of a variety of commonly used audio and video formats, as well as still image files. The media library can support a variety of audio and video encoding formats, such as: MPEG4, H.264, MP3, AAC, AMR, JPG, PNG, etc.

The 3D graphics processing library is used to implement 3D graphics drawing, image rendering, compositing, and layer processing.

2D graphics engine is a drawing engine for 2D drawing.

The kernel layer is the layer between hardware and software. The kernel layer contains at least display drivers, camera drivers, audio drivers, and sensor drivers.

In the second part, the protection scope of the claims disclosed in the embodiments of the present application is introduced as follows.

Please refer to FIG. 3 . FIG. 3 is a schematic flowchart of a display processing method provided by an embodiment of the present application, which is applied to an electronic device. As shown in the figure, the display processing includes the following operations.

Step 301: Estimate the target driving current required to display the picture to be displayed.

Step 302: Determine a target grayscale calibration table based on the target drive current.

Step 303 : calibrating the to-be-displayed picture based on the target grayscale calibration table to obtain a calibrated picture.

Step 304: Display the calibrated screen.

The to-be-displayed picture is a picture to be displayed on the screen of the electronic device, for example, a certain picture, an interface of a certain application, and the like.

It should be noted that the execution body of the embodiment of the present application is an AP of an electronic device, a display driver IC (display driver IC, DDIC), and an external display processing chip (such as a digital signal processing (Digital Signal Processing, DSP) chip) in the at least one.

In an implementation manner of the present application, the target driving current required for the expected display of the to-be-displayed picture includes:

obtaining a grayscale distribution histogram of the picture to be displayed;

The target drive current is predicted based on the grayscale distribution histogram.

Optionally, the gray-level distribution histogram is used to count occurrence probabilities of N gray-level signals, where N is an integer greater than 1. If N=256, the gray-level distribution histogram is used to count the occurrence probability of 256 (eg, 0-255) gray-level signals.

For example, if there is a 480*240 image to be displayed, the distribution of gray-scale signals of each RGB pixel (the total number of pixels is 480*240=115200) can be decomposed and counted to obtain the gray-scale distribution histogram of the to-be-displayed image. As shown in FIG. 4 , the abscissa of FIG. 4 represents the gray-scale signal, and the ordinate of FIG. 4 represents the probability of occurrence.

Optionally, the gray-scale distribution histogram may be implemented by an AP of an electronic device, or by a DDIC, or by an external display processing chip, or the like.

Optionally, the predicting the target drive current based on the gray-scale distribution histogram includes:

predicting the target drive current based on the gray-level distribution histogram and the first formula;

Wherein, the first formula is:

Wherein, the I is the driving current, the I _iR is the current density of the red R sub-pixel corresponding to the ith gray-scale signal, and the I _nG is the green G sub-pixel corresponding to the ith gray-scale signal. Current density, the I _nB is the current density of the blue B sub-pixel corresponding to the i-th grayscale signal, T _R is the aperture ratio of the R sub-pixel, T _G is the aperture ratio of the G sub-pixel, and T _B is the B sub-pixel The aperture ratio of the sub-pixel, S is the area of the sub-pixel, and P is the occurrence probability of the i-th grayscale signal.

Specifically, please refer to FIG. 5. FIG. 5 is a schematic diagram of the corresponding relationship between current density and brightness. Since the gray-scale value of a gray-scale signal refers to the brightness of the brightness, the brightness can be known by the gray-scale value, and then in the It can be known from FIG. 5 that I _iR , I _nG and I _nB , T _R =S _R /S, T _G =S _G /S, T _B =S _B /S, and S _R is the value of the luminescent material corresponding to the R sub-pixel deposition area, the area S _G is the vapor deposition of the luminescent material G sub-pixels corresponding to the evaporation area S _B of the light emitting material B sub-pixels corresponding to sub-pixel area and the relationship between S _R, S _G and S _B as As shown in FIG. 6, seen T _R, T _G, T _B, and the screen S may be learned by the hardware parameters of the electronic device (that is a fixed value), P can be learned by grayscale histogram, i.e., by a first equation so The target drive current can be calculated.

In an implementation manner of the present application, the determining a target grayscale calibration table based on the target driving current includes:

If a first grayscale calibration table corresponding to the target driving current is stored in the electronic device, the first grayscale calibration table is determined to be the target grayscale calibration table.

Optionally, the method further includes:

If the first grayscale calibration table is not stored in the electronic device, determining the target grayscale calibration table based on the second grayscale calibration table and the third grayscale calibration table;

Wherein, the electronic device stores M grayscale calibration tables, where M is an integer of 1, and the M grayscale calibration tables include the first grayscale calibration table and the second grayscale calibration table, The M grayscale calibration tables are in one-to-one correspondence with the M driving currents, the second grayscale calibration table corresponds to the first driving current, the third grayscale calibration table corresponds to the second driving current, and the first driving current Both the current and the second drive current are drive currents adjacent to the target drive current among the M drive currents.

Optionally, the second grayscale calibration table includes N first grayscale calibration value sets corresponding to the N grayscale signals one-to-one, and the second grayscale calibration table includes one-to-one correspondence with the N grayscale signals. corresponding sets of N second grayscale calibration values; the determining the target grayscale calibration table based on the second grayscale calibration table and the third grayscale calibration table stored in the electronic device includes:

determining, based on the N first gray-scale calibration value sets and the N second gray-scale calibration value sets, N third gray-scale calibration value sets corresponding to the N gray-scale signals one-to-one;

The target grayscale calibration table is generated based on the N grayscale signals and the N third grayscale calibration value sets.

Optionally, each gray-scale calibration value set includes 3 gray-scale calibration values, and the 3 gray-scale calibration values are in one-to-one correspondence with 3 sub-pixels (ie, RGB sub-pixels); A gray-scale calibration value set and the N second gray-scale calibration value sets to determine N third gray-scale calibration value sets corresponding to the N gray-scale signals one-to-one, including:

The N third grayscale calibration value sets are determined based on the N first grayscale calibration value sets, the N second grayscale calibration value sets, the second formula, the third formula, and the fourth formula.

Wherein, the second formula is:

X _i3R =K×(X _i1R +X _i2R );

The X _i3R is the gray scale calibration value corresponding to the R sub-pixel included in the third gray scale calibration value set corresponding to the ith gray scale signal, and the X _i1R is the first gray scale corresponding to the ith gray scale signal. the grayscale calibration value corresponding to the R subpixel included in the grayscale calibration value set, and the X _i2R is the grayscale calibration value corresponding to the R subpixel included in the second grayscale calibration value set corresponding to the i-th grayscale signal, The K is a positive number less than 1.

Wherein, the third formula is:

X _i3G =K×(X _i1G +X _i2G );

The X _i3G is the gray scale calibration value corresponding to the G sub-pixel included in the third gray scale calibration value set corresponding to the ith gray scale signal, and the X _i1G is the first gray scale corresponding to the ith gray scale signal. The grayscale calibration value corresponding to the G subpixel included in the level calibration value set, and the X _i2G is the grayscale calibration value corresponding to the G subpixel included in the second grayscale calibration value set corresponding to the i-th grayscale signal.

Wherein, the fourth formula is:

X _i3B =K×(X _i1B +X _i2B );

The X _i3B is the gray scale calibration value corresponding to the B sub-pixel included in the third gray scale calibration value set corresponding to the ith gray scale signal, and the X _i1B is the first gray scale corresponding to the ith gray scale signal. The grayscale calibration value corresponding to the B subpixel included in the level calibration value set, and the X _i2B is the grayscale calibration value corresponding to the B subpixel included in the second grayscale calibration value set corresponding to the i-th grayscale signal.

Among them, K can be a fixed value, such as 1/2 and so on. Alternatively, K is determined based on the first drive current, the second drive current and the target drive current, specifically K=I ₃ /(I ₁ +I ₂ ), and I ₁ and I ₂ are gray scales The driving current corresponding to the calibration table, I ₃ is the driving current required to display the screen to be displayed.

For example, assuming that the second grayscale calibration table is shown in Table 1, the third grayscale calibration table is shown in Table 2, and K=1/2, then the obtained target grayscale calibration table is shown in Table 3.

Table 1

Table 2

grayscale signal

Grayscale Calibration of R Subpixels

Grayscale Calibration of G Subpixels

Grayscale Calibration of B Subpixels

	Standard value	value	value
0	1	1	1
1	3	3	3
2	5	5	4
...	...	...	...
...	...	...	...
124	127	127	127
125	128	128	128
126	130	129	129
127	131	131	131
...	...	...	...
...	...	...	...
252	252	252	252
253	254	254	253
254	255	255	255
255	255	255	255

table 3

Optionally, after the target grayscale calibration table is generated based on the N grayscale signals and the N third grayscale calibration value sets, the method further includes: converting the target grayscale calibration table and associated storage with the target drive current.

In an implementation manner of the present application, the calibration of the to-be-displayed picture based on the target grayscale calibration table to obtain a calibrated picture includes:

Based on the grayscale calibration values corresponding to the N grayscale signals included in the target grayscale calibration table, grayscale calibration is performed on the grayscale signals included in the to-be-displayed picture to obtain a calibrated picture.

Optionally, performing grayscale calibration on the grayscale signals included in the to-be-displayed picture based on the grayscale calibration values corresponding to the N grayscale signals included in the target grayscale calibration table to obtain a calibrated picture, include:

Determine a grayscale calibration value corresponding to each grayscale signal included in the to-be-displayed picture based on the target grayscale calibration table;

The grayscale value of each grayscale signal included in the to-be-displayed picture is updated to its corresponding grayscale calibration value to obtain a calibrated picture.

For example, assuming that the target grayscale calibration table is shown in Table 3, if the screen to be displayed includes 256 grayscale signals (eg, 0 to 255), the grayscale values of these 256 grayscale signals are 0, 1, and 2, respectively. , 3, . , the grayscale value of grayscale signal 2 is updated from 2 to 5, ..., the grayscale value of grayscale signal 124 is updated from 124 to 127, the grayscale value of grayscale signal 125 is updated from 125 to 128, and the grayscale value of grayscale signal 126 The grayscale value is updated from 126 to 130, the grayscale value of grayscale signal 127 is updated from 127 to 131, ..., the grayscale value of grayscale signal 252 is updated from 252 to 252, and the grayscale value of grayscale signal 253 is updated from 253 is 254, the grayscale value of the grayscale signal 254 is updated from 254 to 255, the grayscale value of the grayscale signal 255 is updated from 255 to 255, and so on, the grayscale value of the grayscale signal included in the calibrated screen can be obtained, The details are shown in Table 4.

Table 4

In an implementation manner of the present application, the electronic device stores the first grayscale calibration table, the first grayscale calibration table is determined based on the first data group and the second data group, and the first data The driving current corresponding to the group is 0, and the driving current corresponding to the second data group is the target driving current.

Specifically, as shown in Figure 7, keep the background as Gray0 (specifically, a picture of Gray0 can be placed at the bottom of the screen), and set the setting area of the screen (for example, the size is 10% of the screen, and the center point is the center point of the screen). The R sub-pixel/G sub-pixel/B sub-pixel varies from Gray0 to 255. When changing, measure the brightness of the center of the screen respectively, and obtain 3 groups of 256 brightness corresponding to 256 Grays respectively (that is, to obtain the first data group, such as shown in Table 5). Since the background is Gray0 (that is, the background is completely black), it can be considered that the driving current is zero at this time, so it is equivalent to a scene with no voltage drop.

As shown in Figure 8, if the background corresponding to the target driving current is Gray127 (the relationship between the driving current and the background gray scale can be obtained by the first formula), keep the background as Gray127 (specifically, a picture of Gray127 can be placed at the bottom of the screen), Change the R sub-pixel/G sub-pixel/B sub-pixel of the set area of the screen (for example, the size is 10% of the screen, and the center point is the center point of the screen) from Gray0 to 255, and measure the brightness of the center of the screen when changing. Three groups of 256 luminances corresponding to 256 Grays are obtained (ie, the second data group is obtained, as shown in Table 6).

table 5

grayscale signal	Grayscale luminance of R sub-pixel	Grayscale brightness of G sub-pixels	Grayscale brightness of B sub-pixel
0	0	0	0
...	...	...	...
90	10%	9%	10%
...	...	...	...
140	25%	twenty four%	25%
...	...	...	...

Table 6

grayscale signal	Grayscale luminance of R sub-pixel	Grayscale brightness of G sub-pixels	Grayscale brightness of B sub-pixel
0	0	0	0
...	...	...	...
90	9%	8%	9%
...	...	...	...
140	twenty three%	twenty three%	twenty four%
...	...	...	...

Optionally, the first data group includes N first gray-scale luminance sets, the N first gray-scale luminance sets are in one-to-one correspondence with N gray-scale signals, and the second data group includes the N first gray-scale luminance sets a second gray-scale luminance set, the N second gray-scale luminance sets are in one-to-one correspondence with the N gray-scale signals;

The first grayscale calibration table is determined based on the first data group and the second data group, and includes:

The first grayscale calibration table is obtained by correlating N target grayscale calibration value sets with the N grayscale signals, and the N target grayscale calibration value sets and the N grayscale signals one-to-one correspondence;

The N target grayscale calibration value sets are determined based on N third grayscale brightness sets, and the N target grayscale calibration value sets are in one-to-one correspondence with the N third grayscale brightness sets;

The N third gray-scale brightness sets are obtained by compensating the N second gray-scale brightness sets respectively based on the N gray-scale compensation brightness sets, and the N gray-scale compensated brightness sets are the same as the N gray-scale compensated brightness sets. One-to-one correspondence between gray-scale signals;

Each gray-scale compensation brightness set is determined based on the first gray-scale brightness set and the second gray-scale brightness set of its corresponding gray-scale signal.

Wherein, each first gray-scale luminance set includes three first gray-scale luminances, and the three first gray-scale luminances are in one-to-one correspondence with three sub-pixels (ie, RGB sub-pixels). Each second gray-scale luminance set includes three second gray-scale luminances, and the three second gray-scale luminances are in one-to-one correspondence with three sub-pixels (ie, RGB sub-pixels). Each target gray-scale calibration value set includes three target gray-scale calibration values, and the three target gray-scale calibration values are in one-to-one correspondence with three sub-pixels (ie, RGB sub-pixels). Each third grayscale luminance includes three third grayscale luminances, and the three third grayscale luminances are in one-to-one correspondence with three sub-pixels (ie, RGB sub-pixels). Each gray-scale compensated luminance set includes three gray-scale compensated luminances, and the three gray-scale compensated luminances are in one-to-one correspondence with three sub-pixels (ie, RGB sub-pixels).

Optionally, each gray-scale compensation brightness set is determined based on the first gray-scale brightness set and the second gray-scale brightness set of its corresponding gray-scale signal, including: each gray-scale brightness set is determined based on its corresponding gray-scale brightness set. The first gray-scale brightness set and the second gray-scale brightness set of the gray-scale signal, and the first brightness compensation formula, the second brightness compensation formula, and the third brightness compensation formula are determined.

Wherein, the first brightness compensation formula is: L _2R +L _3R =L _1R , the L _2R is the second gray-scale brightness corresponding to the R sub-pixel, and the L _1R is the first gray-scale brightness corresponding to the R sub-pixel, The L _3R is the gray-scale compensation luminance corresponding to the R sub-pixel.

The second brightness compensation formula is: L _2G +L _3G =L _1G , the L _2G is the second gray-scale brightness corresponding to the G sub-pixel, the L _1G is the first gray-scale brightness corresponding to the G sub-pixel, and the L _3G is the gray-scale compensation brightness corresponding to the G sub-pixel.

The third brightness compensation formula is: L _2B +L _3B =L _1B , where L _2B is the second gray-scale brightness corresponding to the B sub-pixel, and L _1B is the first gray-scale brightness corresponding to the B sub-pixel, and the L _3B is the gray-scale compensation luminance corresponding to the B sub-pixel.

Optionally, the N third gray-scale brightness sets are obtained by separately compensating the N second gray-scale brightness sets based on the N gray-scale compensated brightness sets, including:

The N third grayscale brightness sets are determined based on each grayscale compensation brightness set, the second grayscale brightness set corresponding to each grayscale compensation brightness set, the fifth formula, the sixth formula, and the seventh formula. .

Wherein, the fifth formula: L _4R +L _5R =L _6R , the L _4R is the second gray-scale brightness corresponding to the R sub-pixel, the L _5R is the gray-scale compensation brightness corresponding to the R sub-pixel, and the L _6R is the third grayscale luminance corresponding to the R sub-pixel.

Wherein, the sixth formula: L _4G +L _5G =L _6G , the L _4G is the second gray-scale brightness corresponding to the G sub-pixel, the L _5G is the gray-scale compensation brightness corresponding to the G sub-pixel, and the L _6G is the third gray-scale brightness corresponding to the G sub-pixel.

Wherein, the seventh formula: L _4B +L _5B =L _6B , the L _4B is the second gray-scale brightness corresponding to the B sub-pixel, the L _5B is the gray-scale compensation brightness corresponding to the B sub-pixel, and the L _6B is the third gray-scale luminance corresponding to the B sub-pixel.

Optionally, the N target grayscale calibration value sets are determined based on N third grayscale brightness sets, including: the N target grayscale calibration value sets are each third grayscale brightness set including The third gray-scale brightness is obtained by gray-scale value conversion.

Specifically, the driving current increases, the voltage drop increases, and the brightness decreases. Therefore, the gray-scale brightness of the second data group is compensated based on the first data group, that is, the background is Gray127 by means of gray-scale compensation. The grayscale brightness of 0 to 255 is consistent with the background gray0, and then the grayscale calibration table is obtained when the background is Gray127.

For example, the first data group is shown in Table 5, and the second data group is shown in Table 6. If the gray-scale brightness of the R sub-pixel of the gray-scale signal 90 is to be 10% when the background is Gray127, it is necessary to Add 10 gray-scale brightness. When the background is Gray127, the gray-scale brightness of the G sub-pixel of the gray-scale signal 90 is 9%, and 7 gray-scale brightness needs to be added. When the background is Gray127, the gray-scale signal 90 B If the gray-scale brightness of the sub-pixel is 10%, 9 gray-scale brightness needs to be added; and if the gray-scale brightness of the R sub-pixel of the gray-scale signal 140 is 25% when the background is Gray127, 25 gray-scale brightness needs to be added. , when the background is Gray127, the gray-scale brightness of the G sub-pixel of the gray-scale signal 140 is 24%, and 20 gray-scale brightness needs to be added. When the background is Gray127, the gray-scale brightness of the B sub-pixel of the gray-scale signal 140 To 10%, 23 gray-scale brightness needs to be added; the gray-scale calibration table of Gray127 background obtained by analogy is shown in Table 7.

Table 7

grayscale signal	Grayscale calibration value of R subpixel	Grayscale calibration value of R subpixel	Grayscale calibration value of R subpixel
0	0	0	0
...	...	...	...
90	100	97	99
...	...	...	...
140	165	160	163
...	...	...	...

It should be noted that the determination methods of the second gray scale calibration table and the third gray scale calibration table are the same as the determination methods of the first gray scale calibration table, and are not described herein again. In addition, gray scale calibration tables corresponding to other driving currents can also be obtained by determining the first gray scale calibration table and stored in the electronic device.

It can be seen that, in the embodiment of the present application, the target driving current required to display the picture to be displayed is first estimated, and then the target grayscale calibration table is determined based on the target driving current, and then the target grayscale calibration table is determined based on the target grayscale calibration table. The grayscale signal included in the picture is compensated to obtain a compensated picture, and finally the compensated picture is displayed, realizing dynamic real-time compensation and calibration of the grayscale signal included in the picture to be displayed, thereby reducing the probability of display distortion of the picture to be displayed.

It can be understood that, in order to realize the above-mentioned functions, the electronic device includes corresponding hardware and/or software modules for executing each function. The present application can be implemented in hardware or in the form of a combination of hardware and computer software in conjunction with the algorithm steps of each example described in conjunction with the embodiments disclosed herein. Whether a function is performed by hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Those skilled in the art may use different methods to implement the described functionality for each particular application in conjunction with the embodiments, but such implementations should not be considered beyond the scope of this application.

In this embodiment, the electronic device can be divided into functional modules according to the above method examples. For example, each functional module can be divided corresponding to each function, or two or more functions can be integrated into one processing module. The above-mentioned integrated modules can be implemented in the form of hardware. It should be noted that, the division of modules in this embodiment is schematic, and is only a logical function division, and there may be other division manners in actual implementation.

In the case where each functional module is divided according to each function, FIG. 9 shows a schematic diagram of a display processing apparatus. As shown in FIG. 9 , the display processing apparatus 900 is applied to an electronic device, and the display processing apparatus 900 may include: a predicting unit 901 , a determination unit 902 , a compensation unit 903 and a display unit 904 .

Among them, the predicting unit 901 may be used to support the electronic device to perform the above-mentioned step 301, etc., and/or be used for other processes of the techniques described herein.

The determination unit 902 may be used to support the electronic device to perform the above-described step 302, etc., and/or other processes for the techniques described herein.

The compensation unit 903 may be used to support the electronic device to perform the above-described step 303, etc., and/or other processes for the techniques described herein.

Display unit 904 may be used to support the electronic device in performing steps 304, etc. described above, and/or other processes for the techniques described herein.

It should be noted that, all relevant contents of the steps involved in the above method embodiments can be cited in the functional description of the corresponding functional module, which will not be repeated here.

The electronic device provided in this embodiment is used to execute the above-mentioned display processing method, and thus can achieve the same effect as the above-mentioned implementation method.

Where an integrated unit is employed, the electronic device may include a processing module, a memory module and a communication module. The processing module may be used to control and manage the actions of the electronic device, for example, may be used to support the electronic device to perform the steps performed by the prediction unit 901 , the determination unit 902 , the compensation unit 903 and the display unit 904 . The storage module may be used to support the electronic device to execute stored program codes and data, and the like. The communication module can be used to support the communication between the electronic device and other devices.

The processing module may be a processor or a controller. It may implement or execute the various exemplary logical blocks, modules and circuits described in connection with this disclosure. The processor may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of digital signal processing (DSP) and a microprocessor, and the like. The storage module may be a memory. The communication module may specifically be a device that interacts with other electronic devices, such as a radio frequency circuit, a Bluetooth chip, and a Wi-Fi chip.

In one embodiment, when the processing module is a processor and the storage module is a memory, the electronic device involved in this embodiment may be a device having the structure shown in FIG. 1 .

This embodiment also provides a computer storage medium, where computer instructions are stored in the computer storage medium, and when the computer instructions are executed on the electronic device, the electronic device executes the above-mentioned relevant method steps to implement the display processing method in the above-mentioned embodiment.

This embodiment also provides a computer program product, which when the computer program product runs on a computer, causes the computer to execute the above-mentioned relevant steps, so as to realize the display processing method in the above-mentioned embodiment.

In addition, the embodiments of the present application also provide an apparatus, which may specifically be a chip, a component or a module, and the apparatus may include a connected processor and a memory; wherein, the memory is used for storing computer execution instructions, and when the apparatus is running, The processor can execute the computer-executed instructions stored in the memory, so that the chip executes the display processing methods in the foregoing method embodiments.

Wherein, the electronic device, computer storage medium, computer program product or chip provided in this embodiment are all used to execute the corresponding method provided above. Therefore, for the beneficial effects that can be achieved, reference can be made to the corresponding provided above. The beneficial effects in the method will not be repeated here.

From the description of the above embodiments, those skilled in the art can understand that for the convenience and brevity of the description, only the division of the above functional modules is used as an example for illustration. In practical applications, the above functions can be allocated by different The function module is completed, that is, the internal structure of the device is divided into different function modules, so as to complete all or part of the functions described above.

In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the apparatus embodiments described above are only illustrative. For example, the division of modules or units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components may be combined or May be integrated into another device, or some features may be omitted, or not implemented. On the other hand, the shown or discussed mutual coupling or direct coupling or communication connection may be through some interfaces, indirect coupling or communication connection of devices or units, and may be in electrical, mechanical or other forms.

Units described as separate components may or may not be physically separated, and components shown as units may be one physical unit or multiple physical units, that is, may be located in one place, or may be distributed in multiple different places. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution in this embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically alone, or two or more units may be integrated into one unit. The above-mentioned integrated units may be implemented in the form of hardware, or may be implemented in the form of software functional units.

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 readable storage medium. Based on such understanding, the technical solutions of the embodiments of the present application can be embodied in the form of software products in essence, or the parts that contribute to the prior art, or all or part of the technical solutions, which are stored in a storage medium , including several instructions to make a device (which may be a single chip microcomputer, a chip, etc.) or a processor (processor) to execute all or part of the steps of the methods in the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read only memory (ROM), random access memory (random access memory, RAM), magnetic disk or optical disk and other media that can store program codes.

The above content is only a specific embodiment of the present application, but the protection scope of the present application is not limited to this. Covered within the scope of protection of this application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims (20)

1. A display processing method, characterized in that, applied to an electronic device, the method comprising:

   Estimate the target drive current required to display the picture to be displayed;

   determining a target grayscale calibration table based on the target drive current;

   calibrating the to-be-displayed picture based on the target grayscale calibration table to obtain a calibrated picture;

   The post-calibration screen is displayed.
2. The method according to claim 1, wherein the expected target driving current required for displaying the picture to be displayed comprises:

   obtaining a grayscale distribution histogram of the picture to be displayed;

   The target drive current is predicted based on the grayscale distribution histogram.
3. The method according to claim 2, wherein the gray-level distribution histogram is used to count the occurrence probability of N gray-level signals, and N is an integer greater than 1; the gray-level distribution histogram is based on the Figure predicts the target drive current, including:

   predicting the target drive current based on the gray-level distribution histogram and the first formula;

   Wherein, the first formula is:

   

   Wherein, the I is the driving current, the I _iR is the current density of the red R sub-pixel corresponding to the ith gray-scale signal, and the I _nG is the green G sub-pixel corresponding to the ith gray-scale signal. Current density, the I _nB is the current density of the blue B sub-pixel corresponding to the i-th grayscale signal, T _R is the aperture ratio of the R sub-pixel, T _G is the aperture ratio of the G sub-pixel, and T _B is the B sub-pixel The aperture ratio of the sub-pixel, S is the area of the sub-pixel, and P is the occurrence probability of the i-th grayscale signal.
4. The method according to any one of claims 1-3, wherein the determining a target grayscale calibration table based on the target driving current comprises:

   If a first grayscale calibration table corresponding to the target driving current is stored in the electronic device, the first grayscale calibration table is determined to be the target grayscale calibration table.
5. The method according to claim 4, wherein the first grayscale calibration table is determined based on a first data group and a second data group, the driving current corresponding to the first data group is 0, and the The driving current corresponding to the second data group is the target driving current.
6. The method according to claim 5, wherein the first data group comprises N first gray-scale luminance sets, and the N first gray-scale luminance sets are in one-to-one correspondence with the N gray-scale signals, and the The second data group includes the N second gray-scale luminance sets, and the N second gray-scale luminance sets are in one-to-one correspondence with the N gray-scale signals;

   The first grayscale calibration table is determined based on the first data group and the second data group, and includes:

   The first grayscale calibration table is obtained by correlating N target grayscale calibration value sets with the N grayscale signals, and the N target grayscale calibration value sets and the N grayscale signals one-to-one correspondence;

   The N target grayscale calibration value sets are determined based on N third grayscale brightness sets, and the N target grayscale calibration value sets are in one-to-one correspondence with the N third grayscale brightness sets;

   The N third gray-scale brightness sets are obtained by compensating the N second gray-scale brightness sets respectively based on the N gray-scale compensation brightness sets, and the N gray-scale compensated brightness sets are the same as the N gray-scale compensated brightness sets. One-to-one correspondence between gray-scale signals;

   Each grayscale compensation luminance set is determined based on the first grayscale luminance set and the second grayscale luminance set of its corresponding grayscale signal.
7. The method according to any one of claims 4-6, wherein the method further comprises:

   If the first grayscale calibration table is not stored in the electronic device, determining the target grayscale calibration table based on the second grayscale calibration table and the third grayscale calibration table;

   Wherein, the electronic device stores M grayscale calibration tables, the M grayscale calibration tables include the first grayscale calibration table and the second grayscale calibration table, and the M grayscale calibration tables One-to-one correspondence with the M driving currents, the second grayscale calibration table corresponds to the first driving current, the third grayscale calibration table corresponds to the second driving current, the first driving current and the second driving current are the drive currents adjacent to the target drive current among the M drive currents.
8. The method according to claim 7, wherein the second grayscale calibration table comprises N first grayscale calibration value sets corresponding to N grayscale signals one-to-one, and the second grayscale calibration table including N second grayscale calibration value sets corresponding to N grayscale signals one-to-one; the target grayscale is determined based on the second grayscale calibration table and the third grayscale calibration table stored in the electronic device Calibration sheet, including:

   determining, based on the N first gray-scale calibration value sets and the N second gray-scale calibration value sets, N third gray-scale calibration value sets corresponding to the N gray-scale signals one-to-one;

   The target grayscale calibration table is generated based on the N grayscale signals and the N third grayscale calibration value sets.
9. The method according to any one of claims 1-8, wherein the calibrating the to-be-displayed picture based on the target grayscale calibration table to obtain a calibrated picture, comprising:

   Based on the grayscale calibration values corresponding to the N grayscale signals included in the target grayscale calibration table, grayscale calibration is performed on the grayscale signals included in the to-be-displayed picture to obtain a calibrated picture.
10. The method according to claim 9, wherein, based on the grayscale calibration values corresponding to the N grayscale signals included in the target grayscale calibration table, the grayscale signals included in the to-be-displayed picture are performed. Grayscale calibration, get the calibrated picture, including:

    Determine a grayscale calibration value corresponding to each grayscale signal included in the to-be-displayed picture based on the target grayscale calibration table;

    The grayscale value of each grayscale signal included in the to-be-displayed picture is updated to its corresponding grayscale calibration value to obtain a calibrated picture.
11. A display processing device, characterized in that it is applied to electronic equipment, the device comprising:

    The prediction unit is used to estimate the target driving current required to display the to-be-displayed picture;

    a determining unit, configured to determine a target grayscale calibration table based on the target drive current;

    a calibration unit, configured to calibrate the to-be-displayed picture based on the target grayscale calibration table to obtain a calibrated picture;

    a display unit, used for displaying the calibrated picture.
12. The display processing device according to claim 11, wherein, in terms of the target driving current required to predict the picture to be displayed, the predicting unit is specifically used for:

    obtaining a grayscale distribution histogram of the picture to be displayed;

    The target drive current is predicted based on the grayscale distribution histogram.
13. The display processing device according to claim 12, wherein the gray-scale distribution histogram is used to count the occurrence probability of N gray-scale signals, and N is an integer greater than 1; The order distribution histogram predicts the target drive current, and the predicting unit is specifically used for:

    predicting the target drive current based on the gray-level distribution histogram and the first formula;

    Wherein, the first formula is:

    

    Wherein, the I is the driving current, the I _iR is the current density of the red R sub-pixel corresponding to the ith gray-scale signal, and the I _nG is the green G sub-pixel corresponding to the ith gray-scale signal. Current density, the I _nB is the current density of the blue B sub-pixel corresponding to the i-th grayscale signal, T _R is the aperture ratio of the R sub-pixel, T _G is the aperture ratio of the G sub-pixel, and T _B is the B sub-pixel The aperture ratio of the sub-pixel, S is the area of the sub-pixel, and P is the occurrence probability of the i-th grayscale signal.
14. The display processing device according to any one of claims 11 to 13, wherein, in the aspect of determining the target grayscale calibration table based on the target driving current, the determining unit is specifically configured to:

    If a first grayscale calibration table corresponding to the target driving current is stored in the electronic device, the first grayscale calibration table is determined to be the target grayscale calibration table.
15. The display processing device according to claim 14, wherein the first grayscale calibration table is determined based on a first data group and a second data group, and the driving current corresponding to the first data group is 0, The driving current corresponding to the second data group is the target driving current.
16. The display processing device according to claim 15, wherein the first data group comprises N first gray-scale luminance sets, and the N first gray-scale luminance sets are in one-to-one correspondence with N gray-scale signals , the second data group includes the N second gray-scale brightness sets, and the N second gray-scale brightness sets are in one-to-one correspondence with the N gray-scale signals;

    The first grayscale calibration table is determined based on the first data group and the second data group, and includes:

    The first grayscale calibration table is obtained by correlating N target grayscale calibration value sets with the N grayscale signals, and the N target grayscale calibration value sets and the N grayscale signals one-to-one correspondence;

    The N target grayscale calibration value sets are determined based on N third grayscale brightness sets, and the N target grayscale calibration value sets are in one-to-one correspondence with the N third grayscale brightness sets;

    The N third gray-scale brightness sets are obtained by compensating the N second gray-scale brightness sets respectively based on the N gray-scale compensation brightness sets, and the N gray-scale compensated brightness sets are the same as the N gray-scale compensated brightness sets. One-to-one correspondence between gray-scale signals;

    Each gray-scale compensation brightness set is determined based on the first gray-scale brightness set and the second gray-scale brightness set of its corresponding gray-scale signal.
17. The display processing device according to any one of claims 14-16, wherein the determining unit is further configured to:

    If the first grayscale calibration table is not stored in the electronic device, determining the target grayscale calibration table based on the second grayscale calibration table and the third grayscale calibration table;

    Wherein, the electronic device stores M grayscale calibration tables, the M grayscale calibration tables include the first grayscale calibration table and the second grayscale calibration table, and the M grayscale calibration tables One-to-one correspondence with the M driving currents, the second grayscale calibration table corresponds to the first driving current, the third grayscale calibration table corresponds to the second driving current, the first driving current and the second driving current are the drive currents adjacent to the target drive current among the M drive currents.
18. An electronic device, characterized in that the electronic device comprises a processor and a display screen, wherein:

    The processor is used for predicting the target driving current required for displaying the picture to be displayed; determining a target grayscale calibration table based on the target driving current; calibrating the to-be-displayed picture based on the target grayscale calibration table, and obtaining Screen after calibration;

    The display screen is used to display the calibrated picture.
19. An electronic device comprising a processor, a memory, a communication interface, and one or more programs, the one or more programs being stored in the memory and configured to be executed by the processor, The program includes instructions for performing the steps in the method of any of claims 1-10.
20. A computer-readable storage medium, characterized by storing a computer program for electronic data exchange, wherein the computer program causes a computer to perform the method according to any one of claims 1-10.

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