CN114697597A - Frame rate switching control method and device, terminal equipment and readable storage medium - Google Patents

Abstract

Embodiments of the present application provide a frame rate switching control method, apparatus, terminal device, and readable storage medium. The frame rate switching control method includes: responding to a frame rate switching instruction, acquiring an image currently displayed by the terminal device; sampling according to a preset The rule performs pixel sampling on the image and calculates the gray scale of the sampled pixels; when the gray scale judgment of the sampled pixels of the image satisfies the preset frame rate switching condition, the frame rate switching is controlled. The technical solution of the present application calculates the gray level of the currently displayed image through screenshots and pixel sampling, and uses the calculated gray level as the judgment condition for frame rate switching, which not only effectively solves the flickering problem during frame rate switching, but also It achieves a good balance between the accuracy and time-consuming of image grayscale calculation.

Description

Frame rate switching control method, apparatus, terminal device and readable storage medium

technical field

The present application relates to the technical field of image processing, and in particular, to a frame rate switching control method, apparatus, terminal device and readable storage medium.

Background technique

As the switchable range of display frame rates of terminals such as mobile phones and tablets becomes larger and larger, for terminals using displays such as OLED (Organic Light-Emitting Diode), when switching between different screen frame rates, It is prone to the problem of screen flickering, which reduces the user experience, etc.

SUMMARY OF THE INVENTION

In view of this, the purpose of the present application is to provide a frame rate switching control method, apparatus, terminal device and readable storage medium in order to overcome the deficiencies in the prior art.

Embodiments of the present application provide a frame rate switching control method, including:

In response to the frame rate switching command, obtain the image currently displayed by the terminal device;

Perform pixel sampling on the image according to the preset sampling rule and calculate the gray scale of the sampled pixels;

When the gray scale of the sampling pixels of the image satisfies the preset frame rate switching condition, the frame rate switching is controlled.

In an embodiment, the acquiring an image currently displayed by the terminal device includes:

The system screenshot service interface is invoked to take a screenshot of the content currently displayed by the terminal device.

In an embodiment, the preset sampling rule includes a preset sampling step and a sampling matrix size, wherein the sampling step includes a first-direction sampling step and a second-direction sampling step, and the sampling step according to The preset sampling rule performs pixel sampling on the image and calculates the grayscale of the sampled pixels, including:

Select the starting point of pixel sampling in the image according to a preset selection rule;

Starting from the starting point, interval sampling is performed according to a preset sampling route with the size of the sampling matrix, wherein the sampling matrix is sampled according to the first direction sampling step in the first direction of the image, and sampling according to the second direction sampling step in the second direction of the image;

The grayscale of each sampled pixel in each of the sampling matrices is calculated according to a pixel grayscale conversion algorithm.

In an embodiment, the judging whether a preset frame rate switching condition is met according to the grayscale of the sampled pixels of the image includes:

Count the number of pixels whose grayscales in all sampling matrices are lower than the preset grayscale threshold;

Determine whether the ratio of the number of pixels to the total number of sampled pixels is higher than a preset proportion threshold;

If it is higher, it is judged that the preset frame rate switching condition is not met, otherwise it is judged that the preset frame rate switching condition is met.

In one embodiment, the sampling matrix is sampled in a serpentine route, row-by-row or column-by-column route.

In an embodiment, each of the sampling steps is greater than the width and height of the sampling matrix, and the sampling step in the first direction and the sampling step in the second direction are respectively selected as the first sampling step of the terminal device. 3% to 10% of the total number of pixels in one direction and the total number of pixels in the second direction.

In an embodiment, the respective value ranges of the width and height of the sampling matrix are 3 to 10 pixels.

In one embodiment, when selecting the starting point of pixel sampling in the image, the preset selection rule includes:

The coordinate position of the starting point along the height direction of the status bar is determined according to the pixel height of the status bar in the image, and the value of the coordinate position is greater than or equal to the pixel height of the status bar.

In an embodiment, the pixel grayscale conversion algorithm is a monochromatic component algorithm, an average value algorithm, a shift algorithm, an integer value algorithm, a floating point value algorithm, or a Gamma calibration algorithm.

Preferably, the pixel grayscale conversion algorithm adopts a Gamma calibration algorithm. Wherein, the Gamma calibration algorithm is:

Wherein, R, G and B are the red, green and blue components of a single sampling pixel in turn; g is a preset calibration value; Gray is the gray scale of the sampling pixel.

Embodiments of the present application also provide a frame rate switching control device, including:

The acquisition module is used to respond to the frame rate switching instruction and acquire the image currently displayed by the terminal device;

a grayscale calculation module, configured to perform pixel sampling on the image according to a preset sampling rule and calculate the grayscale of the sampled pixels;

a judgment module for judging whether a preset frame rate switching condition is met according to the grayscale of the sampled pixels of the image;

The control module is configured to control the frame rate switching when the gray scale of the sampling pixels of the image satisfies the preset frame rate switching condition.

An embodiment of the present application further provides a terminal device, the terminal device includes a display screen, a processor and a memory, the display screen is used for displaying an image, the memory stores a computer program, and the processor is used for executing the A computer program to implement the frame rate switching control method described above.

Embodiments of the present application further provide a readable storage medium, which stores a computer program, and when the computer program is executed, implements the above frame rate switching control method.

The embodiments of the present application have the following beneficial effects:

The frame rate switching control method of the embodiment of the present application acquires the currently displayed content by taking a screenshot of the system, uses a preset pixel sampling rule to calculate the gray scale of the current image, and then uses the calculated gray scale as a judgment condition for frame rate switching , which can effectively solve the problem of flickering when the frame rate is switched, and at the same time, it can also achieve a better balance between accuracy and time-consuming when calculating the grayscale of the image, thereby improving the user experience.

Description of drawings

In order to illustrate the technical solutions of the embodiments of the present application more clearly, the following drawings will briefly introduce the drawings that need to be used in the embodiments. It should be understood that the following drawings only show some embodiments of the present application, and therefore do not It should be regarded as a limitation of the scope, and for those of ordinary skill in the art, other related drawings can also be obtained according to these drawings without any creative effort.

FIG. 1 shows a schematic structural diagram of a terminal provided by an embodiment of the present application;

FIG. 2 shows a first schematic flowchart of a frame rate switching control method according to an embodiment of the present application;

FIG. 3 shows a schematic diagram of pixel sampling of a frame rate switching control method according to an embodiment of the present application;

FIG. 4 shows a second schematic flowchart of a frame rate switching control method according to an embodiment of the present application;

5 shows a schematic diagram of an application of starting point selection of a frame rate switching control method according to an embodiment of the present application;

6a, 6b and 6c show schematic diagrams of several sampling routes of the frame rate switching control method according to the embodiment of the present application;

FIG. 7 shows a third schematic flowchart of a frame rate switching control method according to an embodiment of the present application;

FIG. 8 shows a schematic structural diagram of a frame rate switching control apparatus according to an embodiment of the present application.

Detailed ways

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments.

The components of the embodiments of the present application generally described and illustrated in the drawings herein may be arranged and designed in a variety of different configurations. Thus, the following detailed description of the embodiments of the application provided in the accompanying drawings is not intended to limit the scope of the application as claimed, but is merely representative of selected embodiments of the application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without creative work fall within the protection scope of the present application.

Each of the following embodiments can be applied to the terminal device shown in FIG. 1 , such as a mobile phone, a tablet, and the like. FIG. 1 shows a structural block diagram of a mobile phone terminal. The mobile phone 100 includes: an RF (Radio Frequency, radio frequency) circuit 110, a memory 120, an input unit 130, a display unit 140, a photographing unit 150, an audio circuit 160, a WiFi (wireless) fidelity, wireless fidelity) module 170, processor 180, and power supply 190 and other components. The RF circuit 110 can be used to receive and send wireless signals, etc.; the memory 120 can be used to store application programs required for the operation of the mobile phone 100 and relevant file information of the user. The input unit 130 may include buttons, touch panels, and other input devices, etc., for receiving information input from the user, etc.; the display unit 140 mainly includes a display screen, which may be used to display information such as images and texts; the photographing unit 150 mainly includes Including front and rear cameras, etc., mainly used for taking pictures, videos, etc.; the audio circuit 160 is connected to sound output devices such as earpieces, speakers, and sound input devices such as microphones, which can be used for recording or playing voice, etc.; WiFi module 170 can be used to send and receive WiFi signals to Realize information transmission, etc. As the control center of the mobile phone 100, the processor 180 is mainly used to make other units or modules perform corresponding functions, etc.; and the power supply 190 mainly includes a battery device, which is used to provide the required working voltage for each module or unit in the mobile phone 100, etc. .

Those skilled in the art can understand that the structure of the mobile phone 100 shown in FIG. 1 does not constitute a limitation on the mobile phone, and may include more or less components than the one shown, or combine some components, or arrange different components. The technical solution of the present application is described below by taking a terminal device as an example, wherein the terminal device is not limited to be applied to a mobile phone, but can also be applied to a tablet, a notebook computer, and the like. The present application will be described below with specific embodiments. Of course, the present application is not limited to these specific embodiments.

The terminal device of the present application includes a display screen and the like, for example, an OLED display screen and the like can be used, wherein the OLED can be further divided into active AMOLED (Active matrix OLED) and passive PMOLED (Passive matrix OLED) according to the driving method. As the screen display frame rate supported by the terminal device becomes higher and higher, in order to provide the user with a better viewing experience, the user may be allowed to manually switch the display frame rate. However, for display screens such as OLEDs driven by TFT drive circuits, when switching frame rates, it is easy to cause screen flickering, which greatly reduces user experience.

In this regard, the inventor found that if the grayscale (also called grayscale value) of the content currently displayed on the screen is lower than a certain threshold, a certain degree of screen color difference will appear due to the different Gamma values at two different frame rates. In turn, screen flickering occurs. The Gamma refers to a gamma (Gamma) parameter of the display, which is a curve obtained by summarizing luminance data in response to colors under different grayscales, and is also called a Gamma curve. Therefore, the present application proposes a frame rate switching control method, which determines whether to switch the frame rate based on the grayscale of the display content, so as to effectively avoid screen flickering. The grayscale calculation time and accuracy of the image can achieve efficient, fast and accurate calculation, improve processing efficiency, and reduce user waiting time. The frame rate switching control method of the present application is described below with reference to specific embodiments.

Example 1

Referring to FIG. 2 , an embodiment of the present application proposes a frame rate switching control method, which can be applied to various terminal devices with display screens, such as mobile phones, tablets, and computers. The frame rate switching control method will be described in detail below.

Step S10, in response to the frame rate switching instruction, acquire the image currently displayed by the terminal device.

For example, when the terminal device receives the frame rate switching instruction input by the user, the terminal device obtains the image currently displayed on the screen, and then judges whether the frame rate switching is currently responding according to the image grayscale of the displayed content. Alternatively, the frame rate switching instruction may also be triggered by the terminal device itself, for example, when it is detected that some preset images are to be displayed, and these preset images are usually preset with a specified frame rate. When it is necessary to switch and display the content of the specific screen, the terminal device can automatically trigger frame rate switching instructions, etc., to achieve the best viewing effect.

In an implementation manner, the terminal device will take a screenshot of the currently displayed content by invoking a system screenshot service interface, thereby obtaining a screenshot image. For example, taking the terminal of the Android system as an example, you can directly obtain the display image of the current screen by calling the relevant screenshot service API interface of SurfaceFlinger, such as CaptureScreenCommon, etc. to take screenshots. Generally, the display image is an RGB image composed of three primary colors, and the R, G, and B components of each pixel in the RGB image can be directly obtained from the image captured by the native interface of the system.

After the image is acquired, the pixel grayscale of the image will be calculated to determine whether to switch the frame rate.

Step S20: Perform pixel sampling on the image according to a preset sampling rule and calculate the gray scale of the sampled pixels.

Generally, there are many methods for calculating the gray level of an image, such as the commonly used gray level average calculation method. However, the inventor found that this calculation method has the problem of inaccurate calculation. For example, when the image is divided into two color blocks, although one block has low brightness, its gray value is large. The step is pulled high, and if the switch is performed at this time, it is very likely to cause a flickering problem. On the other hand, as the display screen becomes larger and larger, and the resolution of the device becomes higher and higher, such as mobile phones, the current mainstream resolution is 1080P and above, and its pixel points are also increasing, correspondingly , the pixel grayscale calculation is also more and more time-consuming. For this reason, in order to be compatible with the calculation accuracy and calculation speed of the gray scale of the image, the embodiment of the present application proposes to perform pixel sampling on the image, and use the sampled pixels to calculate the gray scale of the image, so as to obtain more efficient and fast calculation results. Accurate image grayscale.

In one embodiment, the preset sampling rule may include interval sampling based on the form of a pixel matrix. For example, a matrix size may be preset, and interval sampling may be performed in the image with the set matrix size. Move the sampling, as shown in Figure 3, to obtain multiple pixel matrices of each area in the image.

Wherein, the sampling step size during the interval movement may be preset according to the actual screen width and the like. Generally, in the case of interval sampling, the sampling step size is usually larger than the width and height of the pixel matrix, so that repeated sampling of pixels can be avoided when sampling is shifted. It can be understood that the width and height of the matrix can be set according to actual requirements. For example, if the length and width of the matrix are the same, sampling is performed in the form of a square matrix. In addition, it is also possible to perform sampling or the like based on the format of other designated patterns, which is not limited here.

Furthermore, grayscale calculation is performed on the pixel matrix obtained by sampling based on the pixel grayscale conversion formula. Exemplarily, the pixel grayscale conversion formula may include, but is not limited to, a monochromatic component algorithm, an average value algorithm, a shift algorithm, an integer value algorithm, a floating point value algorithm, a Gamma calibration algorithm, and the like. Wherein, the monochromatic component algorithm may select the blue component in the RGB image for calculation.

In step S30, it is determined whether the preset frame rate switching condition is satisfied according to the gray scale of the sampling pixels of the image.

For example, in one embodiment, the preset frame rate switching condition may include that the proportion of the number of pixels exceeding the preset grayscale threshold in all sampled pixels is lower than the preset proportion threshold, or the like. The preset grayscale threshold and the preset proportion threshold can be selected according to actual test results. For example, the preset proportion threshold can be set as 50% to 55% of the total number of sampling pixels.

For these sampled pixel matrices, this embodiment counts the number of pixels in these pixel matrices that meet specific gray-scale conditions, and if the statistical gray-scale results meet the preset frame rate switching conditions, the frame rate switching is performed , otherwise switching is not allowed. It can be understood that considering that the average calculation method may increase the overall grayscale calculation result, and by using the above statistical results to estimate the grayscale of the overall pixels in the image, the calculated results can be guaranteed. It is more in line with the display results observed by the human eye, thereby improving the grayscale calculation accuracy and so on.

Step S40, if the gray scale of the sampling pixels of the image satisfies the preset frame rate switching condition, then perform frame rate switching.

If it is satisfied, the frame rate switching operation is performed. Exemplarily, the terminal device may obtain the target frame rate according to the frame rate switching instruction, and control to switch the current frame rate to the target frame rate when it is determined that the preset frame rate switching condition is satisfied.

Further optionally, if the grayscale of the sampled pixels of the image does not meet the preset frame rate switching condition, the frame rate switching is not performed. Exemplarily, when it is determined that the preset frame rate switching condition is not met, the current frame rate is maintained. Optionally, the terminal device will perform delayed switching. For example, subsequent image frames may be acquired in real time, and the frame rate switching will be performed immediately when it is determined that a certain frame of displayed image satisfies the preset frame rate switching condition.

It can be understood that, before performing frame rate switching, the frame rate switching control method according to the embodiment of the present application performs pixel sampling on the grayscale of the currently displayed image, and then uses the obtained sampled pixels as the grayscale calculation basis to calculate the value of the image. Grayscale information, by counting the proportion of pixels whose grayscale meets the preset grayscale condition to determine whether the switching condition is met, not only can improve the efficiency of image grayscale calculation, but also ensure high grayscale calculation accuracy.

It should be understood that, the image grayscale calculation method in this embodiment can be used not only in the above-mentioned frame rate switching scenario, but also in other scenarios where image grayscale needs to be calculated, for example, other display control or parameter adjustment for the current image. Wait. In addition, this image grayscale calculation method is not only applicable to images displayed by OLED displays, etc., but also applicable to images displayed by other displays with no difference in Gamma value, such as LCD displays or their extended sub-type displays, etc., for example , LTPS-LCD (low temperature polysilicon liquid crystal display), SLCD (splicing special LCD screen) and so on.

FIG. 4 shows another schematic flowchart of a frame rate switching control method according to an embodiment of the present application. Wherein, for the above step S20, the frame rate switching control method includes:

Step S210, selecting a starting point of pixel sampling in the image according to a preset selection rule.

Usually, the terminal device will start sampling after selecting a starting point in the image. For example, in one embodiment, the preset selection rule may include: determining the coordinate position of the starting point along the height direction of the status bar according to the pixel height of the status bar in the image, wherein the coordinate position is greater than or equal to the state bar. The height of the bar in pixels.

Taking a mobile phone as an example, as shown in Figure 5, the height of the status bar displayed on the display screen of the mobile phone is usually fixed. After the screenshot image is obtained, the upper left corner of the image is taken as the coordinate origin. If it occupies 300 pixel units, the pixel position of the starting point in the height direction can be selected to be greater than or equal to 300. And the pixel position in the width direction of the starting point can be randomly set, such as the 100th pixel as shown in FIG. 5 , etc., so the starting point of (100, 300) can be obtained. Optionally, if the starting point is used as a vertex of the sampling matrix, for example, the pixel matrix is sampled as the upper right vertex, the pixel position of the starting point in the width direction of the screen can be set to be greater than the sampling in the width direction. Step size, which ensures that pixels between the first pixel and the sampling step size can be sampled.

Step S220, starting from the starting point, perform interval sampling according to the preset sampling route with the set sampling matrix size, wherein the sampling matrix is sampled in the first direction of the image according to the sampling step size in the first direction, and in the second direction of the image. The direction is sampled according to the second direction sampling step size.

Generally, the first direction and the second direction are vertical directions. For example, the first direction may be the horizontal direction of the display screen, and the second direction may be the vertical direction of the display screen. The sampling matrix can perform moving sampling in the image according to the preset sampling route according to the preset sampling step when starting from the starting point.

The above-mentioned preset sampling route may include, but is not limited to, a serpentine route, a row-by-row or column-by-column route, etc., that is, the specific sampling route is not limited. The sampling step size in the first direction and the sampling step size in the second direction may be selected according to actual requirements, for example, may be selected according to the total number of pixels of the display screen of the terminal device in the first direction and the second direction. In some embodiments, the sampling step in the first direction and the sampling step in the second direction may be selected as 3% to 10% of the total number of pixels in the first direction and the total number of pixels in the second direction of the display screen.

For example, taking a mobile phone with a 2K pixel display screen as an example, if the size of the sampling matrix can be set to 5*5, that is, the width and height are both 5 pixel units, if the first direction is horizontal and the first The direction step size is 100 pixels, the second direction is the longitudinal direction and the second direction step size is 150 pixels, so the sampling matrix can be sampled according to the serpentine route as shown in Figure 6a, or as shown in Figure 6b. The sampling is performed according to the row-by-row route shown, or the sampling is performed according to the column-by-column route as shown in FIG. 6c.

Step S230: Calculate the gray level of each sampling pixel in each sampling matrix according to the pixel gray level conversion algorithm.

When multiple pixel matrices are obtained, the calculation can be performed according to a pixel grayscale conversion algorithm. For many pixel grayscale conversion algorithms listed above, in this embodiment, the Gamma calibration algorithm will be preferentially selected, wherein R, G and B are the red, green and blue components of a single sampling pixel in turn; g is the preset calibration value ; Gray is the grayscale of the sampled pixel. Generally, the preset calibration value g can be selected as 2.2. Therefore, the calculation formula of the Gamma calibration algorithm is as follows:

Among them, each algorithm has its own characteristics. The reason why this Gamma calibration algorithm is selected is because in the actual large-scale testing process, it is found that the monochromatic component algorithm calculated by taking the blue component has the fastest speed, followed by the average algorithm, the shift algorithm and the shaping value. The algorithm is relatively close, the floating point value algorithm is slower, and the Gamma calibration algorithm is the slowest. However, from the perspective of grayscale accuracy, the Gamma calibration algorithm is the fastest, followed by the floating-point value algorithm, the rest are similar, and the monochromatic component algorithm is the worst. In this embodiment, the Gamma calibration algorithm with the best accuracy is selected. Since the above-mentioned pixel sampling method and the above-mentioned statistical calculation rules are combined to perform image gray-scale calculation, it can achieve better gray-scale calculation speed and calculation accuracy. Compatible to ensure the overall performance of the terminal equipment.

For example, in the actual test process of a terminal device, after using the above-mentioned Gamma calibration algorithm and pixel matrix sampling method, the average calculation time can be controlled at about 5ms, which is different from calculating the grayscale of all pixels and then finding the grayscale. Compared with the solution of the average value, the calculation speed of this embodiment is improved, and the calculated grayscale deviation can be controlled within 5%, which is sufficient to meet performance requirements and the like.

After sampling pixels are obtained, whether to perform frame rate switching will be determined based on these sampling pixels. If the grayscale of the sampling pixels of the image satisfies the preset frame rate switching condition, the frame rate switching is performed, that is, step S40 is performed; otherwise, step S50 is performed, that is, the frame rate switching is not performed.

Wherein, in an embodiment, for the above-mentioned step S30, as shown in FIG. 7, it may include:

Step S310: Count the number of pixels whose gray levels are lower than a preset gray level threshold in all sampling matrices.

Step S320, judging whether the ratio of the counted number of pixels to the total number of sampling pixels is higher than a preset ratio threshold. If it is higher, go to step S330, otherwise go to step S340.

Step S330, it is determined that the preset frame rate switching condition is not satisfied.

Step S340, it is determined that the preset frame rate switching condition is satisfied.

Exemplarily, if it is determined that the proportion of the number of pixels whose gray level is lower than the preset gray level threshold is set at the preset proportion threshold, that is, the gray level of the image is higher at this time, indicating that the display content is gray, so it is not Allows to switch frame rate. Conversely, if it is lower than or equal to the preset ratio threshold, then the grayscale of the image is lower at this time, allowing frame rate switching.

Wherein, the preset grayscale threshold can be obtained according to actual tests or empirical values. It can be understood that by judging the proportion of gray scales of specific sampling pixels, it can effectively solve the problem of inaccuracy in calculating gray scales by using the average value. The gray-scale calculation accuracy is improved, and the user experience is improved.

The frame rate switching control method in this embodiment samples the currently displayed image grayscale in the form of a preset pixel matrix, and then counts the proportion of the sampled pixels in these pixel matrices whose grayscales are greater than the preset grayscale threshold. Judging whether the switching condition is satisfied can not only improve the efficiency of image grayscale calculation, but also ensure higher grayscale calculation accuracy.

Example 2

Referring to FIG. 8 , based on the method of Embodiment 1 above, this embodiment provides a frame rate switching control apparatus 200 . Exemplarily, the frame rate switching control apparatus 200 includes:

The acquiring module 210 is configured to acquire the image currently displayed by the terminal device in response to the frame rate switching instruction.

The grayscale calculation module 220 is configured to perform pixel sampling on the image according to a preset sampling rule and calculate the grayscale of the sampled pixels.

The judging module 230 is configured to judge whether the preset frame rate switching condition is satisfied according to the gray scale of the sampled pixels of the image.

The control module 240 is configured to control the frame rate switching when the grayscale of the sampled pixels of the image satisfies the preset frame rate switching condition.

The preset sampling rule includes a preset sampling step size and a sampling matrix size, wherein the sampling step size includes a first direction sampling step size and a second direction sampling step size. In one embodiment, the grayscale calculation module 220 includes a selection submodule, a matrix sampling submodule, and a grayscale conversion submodule.

Wherein, the selection sub-module is used to select the starting point of pixel sampling in the image according to the preset selection rule; the matrix sampling sub-module is used to start from the starting point and perform interval sampling with the size of the sampling matrix according to the preset sampling route, Wherein, the sampling matrix is sampled according to the first direction sampling step size in the first direction of the image, and is sampled according to the second direction sampling step size in the second direction of the image; gray The level conversion sub-module is configured to calculate the gray level of each sampled pixel in each of the sampling matrices according to the pixel gray level conversion algorithm.

In one embodiment, the judging module 230 includes a pixel statistics sub-module, a proportion comparison sub-module and a judgment output sub-module, wherein the pixel statistics sub-module is used to count the gray levels of the pixels in all sampling matrices below a preset gray level The number of pixels of the threshold; the ratio comparison sub-module is used to judge whether the ratio of the number of pixels to the total number of sampled pixels is higher than the preset ratio threshold; the output sub-module is used to judge if it is higher than that, then judge that the ratio is not satisfied The preset frame rate switching condition, otherwise it is judged that the preset frame rate switching condition is satisfied.

It can be understood that the apparatus of this embodiment corresponds to the method of the foregoing Embodiment 1, and the options in the foregoing Embodiment 1 are also applicable to this embodiment, so the description is not repeated here.

The present application also provides a terminal device, for example, the terminal device may include a mobile phone, a tablet, a notebook computer, and the like. The terminal device includes a display screen, a memory, and a processor, wherein the display screen is used to display images, and the memory stores a computer program, and the processor runs the computer program, thereby enabling the mobile terminal to execute the frame rate switching control method or the frame rate. The function of each module in the rate switching control device.

The memory may include a stored program area and a stored data area, wherein the stored program area may store an operating system and an application program required for at least one function; order conversion algorithm, preset sampling rules, etc.) and so on. Additionally, the memory may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid state storage device.

The present application also provides a computer storage medium for storing the computer program used in the above-mentioned terminal device.

In the several embodiments provided in this application, it should be understood that the disclosed apparatus and method may also be implemented in other manners. The apparatus embodiments described above are only schematic. For example, the flowcharts and structural diagrams in the accompanying drawings show the possible implementation architectures and functions of the apparatuses, methods and computer program products according to various embodiments of the present application. and operation. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code that contains one or more functions for implementing the specified logical function(s) executable instructions. It should also be noted that, in alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It is also noted that each block of the block diagrams and/or flow diagrams, and combinations of blocks in the block diagrams and/or flow diagrams, can be implemented using dedicated hardware-based systems that perform the specified functions or actions. be implemented, or may be implemented in a combination of special purpose hardware and computer instructions.

In addition, each functional module or unit in each embodiment of the present application may be integrated together to form an independent part, or each module may exist independently, or two or more modules may be integrated to form an independent part.

If the functions are implemented in the form of software function modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application can be embodied in the form of a software product in essence, or the part that contributes to the prior art or the part of the technical solution. The computer software product is stored in a storage medium, including Several instructions are used to cause a computer device (which may be a smart phone, a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, Read-Only Memory (ROM, Read-Only Memory), Random Access Memory (RAM, Random Access Memory), magnetic disk or optical disk and other media that can store program codes .

The above are only specific embodiments of the present application, but the protection scope of the present application is not limited to this. should be covered within the scope of protection of this application.

Claims (12)

1. a frame rate switching control method, is characterized in that, comprises: In response to the frame rate switching command, obtain the image currently displayed by the terminal device; Perform pixel sampling on the image according to the preset sampling rule and calculate the gray scale of the sampled pixels; When the gray scale of the sampling pixels of the image satisfies the preset frame rate switching condition, the frame rate switching is controlled. 2. The frame rate switching control method according to claim 1, wherein the acquiring the image currently displayed by the terminal device comprises: The system screenshot service interface is invoked to take a screenshot of the content currently displayed by the terminal device. 3. The frame rate switching control method according to claim 1 or 2, wherein the preset sampling rule comprises a preset sampling step size and a sampling matrix size, wherein the sampling step size includes the first direction The sampling step size and the second direction sampling step size, the pixel sampling of the image according to the preset sampling rule and the calculation of the gray scale of the sampled pixels, including: Select the starting point of pixel sampling in the image according to a preset selection rule; Starting from the starting point, interval sampling is performed according to a preset sampling route with the size of the sampling matrix, wherein the sampling matrix is sampled according to the first direction sampling step in the first direction of the image, and sampling according to the second direction sampling step in the second direction of the image; The grayscale of each sampled pixel in each of the sampling matrices is calculated according to a pixel grayscale conversion algorithm. 4. The frame rate switching control method according to claim 3, wherein the judging whether a preset frame rate switching condition is satisfied according to the gray scale of the sampled pixels of the image comprises: Count the number of pixels whose grayscales in all sampling matrices are lower than the preset grayscale threshold; Determine whether the ratio of the number of pixels to the total number of sampled pixels is higher than a preset proportion threshold; If it is higher, it is judged that the preset frame rate switching condition is not met, otherwise it is judged that the preset frame rate switching condition is met. 5 . The frame rate switching control method according to claim 3 , wherein the sampling matrix is sampled according to a serpentine route, a row-by-row or a column-by-column route. 6 . 6 . The frame rate switching control method according to claim 3 , wherein each of the sampling steps is greater than the width and height of the sampling matrix, and the first direction sampling step and the second direction The sampling step size is respectively selected as 3% to 10% of the total number of pixels in the first direction and the total number of pixels in the second direction of the terminal device; The respective value ranges of the width and height of the sampling matrix are 3 to 10 pixels. 7. The frame rate switching control method according to claim 3, wherein, when selecting the starting point of pixel sampling in the image, the preset selection rule comprises: The coordinate position of the starting point along the height direction of the status bar is determined according to the pixel height of the status bar in the image, and the value of the coordinate position is greater than or equal to the pixel height of the status bar. 8. The frame rate switching control method according to claim 3, wherein the pixel grayscale conversion algorithm is a monochrome component algorithm, an average value algorithm, a shift algorithm, a shaping value algorithm, and a floating point value algorithm. or Gamma calibration algorithm. 9. The frame rate switching control method according to claim 8, wherein the Gamma calibration algorithm is:

Wherein, R, G and B are the red, green and blue components of a single sampling pixel in turn; g is a preset calibration value; Gray is the gray scale of the sampling pixel. 10. A frame rate switching control device, comprising: The acquisition module is used to respond to the frame rate switching instruction and acquire the image currently displayed by the terminal device; a grayscale calculation module, configured to perform pixel sampling on the image according to a preset sampling rule and calculate the grayscale of the sampled pixels; a judging module for judging whether a preset frame rate switching condition is met according to the grayscale of the sampled pixels of the image; The control module is configured to control the frame rate switching when the grayscale of the sampling pixels of the image satisfies the preset frame rate switching condition. 11. A terminal device, characterized in that the terminal device comprises a display screen, a processor and a memory, the display screen is used to display an image, the memory stores a computer program, and the processor is used to execute the computer The program is to implement the frame rate switching control method described in any one of claims 1-9. 12. A readable storage medium, characterized in that it stores a computer program, and when the computer program is executed, implements the frame rate switching control method according to any one of claims 1-9.

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