CN110349243B - Image processing method, device, electronic equipment and storage medium - Google Patents

Abstract

The embodiment of the application discloses an image processing method, an image processing device, electronic equipment and a storage medium, wherein the method comprises the following steps: the method comprises the steps of receiving an image processing instruction, obtaining image data to be processed in various compression texture formats according to the image processing instruction, obtaining type information of a graphic processor, selecting target image data to be processed from the image data to be processed in various compression texture formats according to the type information, and finally inputting the target image data to be processed to the graphic processor for image rendering. Therefore, in the image processing process, the compressed texture format of the image data can be actively selected, and the efficiency of image processing is improved.

Description

Image processing methods, devices, electronic equipment and storage media

Technical field

The present application relates to the field of electronic technology, and specifically to an image processing method, device, electronic equipment and storage medium.

Background technique

In the existing image processing technology, the image is generally compressed and textured through the Unity3D device. The Unity3D device can convert the image into the required Texture2D format. In the Texture2D configuration options, different compression can be set for different platforms. Texture format, for example, the iOS platform is set to PVRTC4, the Android platform is set to ETC1, etc.

However, before processing the image, it is necessary to generate the specified image compression texture format. In different GPU types, it is necessary to specify the input compressed texture format of different types of images. Otherwise, the GPU does not support the compressed texture format of the image. down, it will cause abnormal game screen and other phenomena.

Contents of the invention

Embodiments of the present application provide an image processing method, device, electronic device, and storage medium. The image processing method can improve the efficiency of image processing.

In order to solve the above technical problems, this application proposes the following technical solutions:

In a first aspect, embodiments of the present application provide an image processing method, wherein the image processing method includes:

Receive image processing instructions, and obtain image data to be processed in multiple compressed texture formats according to the image processing instructions;

Get the type information of the graphics processor;

Select target image data to be processed among the image data to be processed in the plurality of compressed texture formats according to the type information;

The target image data to be processed is input to the graphics processor for image rendering.

In a second aspect, embodiments of the present application provide an image processing device, wherein the image processing device includes:

A first acquisition module, configured to receive image processing instructions and obtain image data to be processed in multiple compressed texture formats according to the image processing instructions;

The second acquisition module is used to obtain the type information of the graphics processor;

A selection module configured to select target image data to be processed among the image data to be processed in the plurality of compressed texture formats according to the type information;

A rendering module, configured to input the target image data to be processed to the graphics processor for image rendering.

In a third aspect, embodiments of the present application provide an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, the above image processing method is implemented. steps in.

In a fourth aspect, embodiments of the present application provide a storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps in the above image processing method are implemented.

In the embodiment of the present application, by receiving image processing instructions, the image data to be processed in multiple compressed texture formats is obtained according to the image processing instructions, and then the type information of the graphics processor is obtained, and the multiple compressed texture formats are processed according to the type information. Select the target image data to be processed from the image data to be processed, and finally input the target image data to be processed to the graphics processor for image rendering. As a result, the memory occupied during image processing is lower, the image rendering quality is higher, and the efficiency of image processing is improved.

Description of the drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present application. For those skilled in the art, other drawings can also be obtained based on these drawings without exerting creative efforts.

Figure 1 is a first flow diagram of an image processing method provided by an embodiment of the present application.

Figure 2 is a second schematic flowchart of the image processing method provided by an embodiment of the present application.

FIG. 3 is a first structural schematic diagram of an image processing device provided by an embodiment of the present application.

FIG. 4 is a second structural schematic diagram of an image processing device provided by an embodiment of the present application.

FIG. 5 is a schematic structural diagram of an electronic device provided by 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 accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without making creative efforts fall within the scope of protection of this application.

In the following description, specific embodiments of the present application will be described with reference to steps and symbols executed by one or more computers, unless otherwise stated. Accordingly, these steps and operations will be referred to several times as being executed by a computer. Computer execution as referred to herein includes the operations of a computer processing unit that represent electronic signals that represent data in a structured form. This operation converts or maintains the data in a location within the computer's memory system that may be reconfigured or otherwise alter the operation of the computer in a manner known to those skilled in the art. The data structure maintained by the data is a physical location in memory that has specific characteristics defined by the data format. However, the principles of the present application are explained in the above words, which do not represent a limitation. Testers in the field will understand that various steps and operations described below can also be implemented in hardware.

The terms "first", "second" and "third" in this application are used to distinguish different objects, rather than describing a specific sequence. Furthermore, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device that includes a series of steps or modules is not limited to the listed steps or modules, but some embodiments also include unlisted steps or modules, or some embodiments Other steps or modules inherent to such processes, methods, products or devices are also included.

Embodiments of the present application provide an image processing method, device, electronic device, and storage medium. Each is explained in detail below.

The image processing method in this application is suitable for electronic devices such as smartphones, computers, smart TVs, and smart wearable devices. Electronic devices that use the image processing method in this application are within the scope of protection of this application.

Please refer to FIG. 1 , which is a first flow diagram of an image processing method provided by an embodiment of the present application. The image processing method can improve the efficiency of image processing. The image processing method includes the following steps:

In step 101, an image processing instruction is received, and image data to be processed in multiple compressed texture formats is obtained according to the image processing instruction.

When playing games, watching videos, loading web pages, etc., images need to be processed. At this time, an image processing instruction is generated, and the electronic device processes the input image data according to the image processing instruction.

In some embodiments, the input image data may be original images, such as common PNG, JPG, BMP, GIF and other formats. Image data in these formats cannot be processed by a GPU (Graphics Processor) and requires a CPU (Central Processing Unit). Processor) decompresses it into a bitmap (bitmap), and then you can obtain the image data to be processed in the corresponding texture format based on the bitmap, such as R5G6B5, A4R4G4B4, A1R5G5B5, R8G8B8, A8R8G8B8 and other formats, and then input the image data to be processed into The graphics processor performs image rendering.

In some embodiments, the input image data can also be compressed texture image data, such as image data in compressed texture formats such as ETC1, ETC2, PVRTC, ASTC, DXT, etc. Image data in multiple compressed texture formats can be obtained as the data to be processed. Process image data.

It should be noted that the image data in multiple compressed texture formats may be image data stored locally on the electronic device, for example, a stand-alone excellent image data downloaded on the electronic device.

In step 102, type information of the graphics processor is obtained.

Different manufacturers have different graphics processors. For example, Qualcomm's Adreno series of graphics processors are its own type of GPU, or Nvidia's Tegra series of graphics processors, Intel's Bay Trail series of graphics processors, etc.

Depending on the type of graphics processor, the compressed texture formats of supported image data are naturally different. For example, image data in PVRTC compressed texture format can be supported by electronic devices using PowerVR series graphics processors, and image data in ASTC compressed texture format can be supported by electronic devices using PowerVR series graphics processors. Can be supported by electronic devices using Adreno series graphics processors.

In step 103, the target image data to be processed is selected from the image data to be processed in a plurality of compressed texture formats according to the type information.

After obtaining the image data to be processed in various compressed texture formats such as ETC1, ETC2, PVRTC, ASTC, and DXT, the compressed texture format supported by the graphics processor can be selected according to the type information of the graphics processor, and then the graphics can be The image data to be processed in a compressed texture format supported by the processor is selected as the target image data to be processed.

For example, the graphics processor of the electronic device supports image data in three compressed texture formats: ETC1, ETC2, and ASTC. The image data in the three compressed texture formats of ETC1, ETC2, and ASTC in the image data to be processed can be selected as the target to be processed. Process image data. If the graphics processor of the electronic device only supports image data in the ETC1 compressed texture format, then the image data in the ETC1 compressed texture format is selected as the target image data to be processed.

In step 104, the target image data to be processed is input to the graphics processor for image rendering.

After selecting the target image data to be processed, you can select one of the compressed texture format image data and input it into the graphics processor, so that the graphics processor processes the image data and finally achieves image rendering.

For example, if the graphics processor of the current electronic device is NVIDIA's Tegra series or Intel's BayTrail series, the DXT texture recognition algorithm is used to extract the compressed texture data and directly hand it over to the GPU for rendering.

If the graphics processor of the current electronic device can support image data in a variety of compressed texture formats, the target image data to be processed can be selected based on comprehensive factors such as the quality, speed, and duration of the drawn image, and the selected target image data And input it into the image processor for rendering.

To sum up, the image processing method provided in the embodiment of the present application receives image processing instructions, obtains image data to be processed in a variety of compressed texture formats according to the image processing instructions, and then obtains the type information of the graphics processor. According to the The type information selects the target image data to be processed among the image data to be processed in the multiple compressed texture formats, and finally the target image data to be processed is input to the graphics processor for image rendering. As a result, the memory occupied during image processing is lower, the image rendering quality is higher, and the efficiency of image processing is improved.

Please refer to Figure 2. Figure 2 is a second schematic flowchart of an image processing method provided by an embodiment of the present application. The image processing method can improve the efficiency of image processing. The image processing method includes the following steps:

In step 201, an image processing instruction is received, and image data to be processed in multiple compressed texture formats is obtained according to the image processing instruction.

During image processing, image data in a variety of compressed texture formats can be obtained, such as image data in compressed texture formats such as ETC1, ETC2, PVRTC, ASTC, and DXT.

Among them, different compressed texture formats have different characteristics. For example, ETC1 compressed texture format is a standard image compression texture format. ETC1 only supports RGB channels and does not support alpha transparency channels; ETC2 compressed texture format is a standard image compression format. Compressed texture format, ETC2 supports alpha transparency channel in addition to RGB channels. The ASTC compressed texture format can be supported by electronic devices using Qualcomm's Adreno series graphics processors, and the PVRTC compressed texture format can be supported by electronic devices using PowerVR series graphics processors.

Image data to be processed in a variety of compressed texture formats can be obtained through image processing instructions, where the image data to be processed can be stored locally on the electronic device or in the cloud.

In step S202, the graphics processor is controlled to generate a display interface.

Before processing the image data to be processed, it is necessary to obtain the type information of the graphics processor of the electronic device.

At this time, the graphics processor can be controlled to generate a display interface. This display interface can be transparent to prevent blocking the user's field of view and causing a poor user experience.

For example, in electronic devices equipped with the Android system, the graphics processor type information can be obtained through the Java API provided by Android. Specifically, the graphics processing type information is obtained with the help of OpenGL, which is used to render 2D and 3D. Cross-language, cross-platform application programming interface for vector graphics. You can implement a GLSurfaceView.Renderer interface, set the renderer (renderer) to a GLSurfaceView, and then mount it to an Activity (application component, providing a screen that users can use to interact in order to complete a task), where Hanging in an Activity can be understood as an interface in Android, and this interface can be set to transparent.

In step 203, the parameter information of the display interface is obtained, and the type information of the graphics processor is obtained according to the parameter information.

For example, the type information of the graphics processor can be obtained from the above GLSurfaceView.Renderer interface. The type information of the graphics processor can also be obtained from the system information signature of the electronic device.

In step S204, compressed texture image data processable by the graphics processor is obtained according to the type information.

Different types of graphics processors support different compressed texture formats. For example, image data in PVRTC compressed texture format can be supported by electronic devices using PowerVR series graphics processors, and image data in ASTC compressed texture format can be supported by Adreno series graphics. Processor electronics support.

Compressed texture image data in a compressed texture format supported by the graphics processor of the electronic device can be obtained according to the type information.

In step 205, priorities are set for processable compressed texture image data of different compressed texture formats.

It is understandable that the graphics processor of an electronic device can support image data in a variety of compressed texture formats. The processing time and efficiency of the graphics processor for image data in different compressed texture formats will be different. The picture effect after data processing will also be different.

For example, the priority of the compressed texture image data can be set according to the speed at which the graphics processor processes the compressed texture data of different compressed texture formats. The faster the processing speed, the higher the priority of the corresponding compressed texture image data. The priority of the compressed texture image data can also be set based on the display effect of the image after the graphics processor processes the compressed texture image data. The better the image quality, the higher the priority of the corresponding compressed texture image data.

In some embodiments, when the graphics processor can support multiple compressed texture formats, the priority of compressed texture data can also be set according to the situation during image processing. For example, when playing a game, the game needs to be loaded when it is just opened. The speed is fast. At this time, the priority of the compressed texture image data can be set according to the processing speed of the compressed texture image data by the graphics processor. After entering the game, the game requires higher image quality. At this time, the priority can be set according to the output image quality. Set priorities for compressed texture image data. At different stages of game running, priorities set by different standards can be used to select target image data to be processed.

In step 206, it is determined according to the type information whether there is compressed texture image data that can be processed in the image data to be processed.

After setting the priority for the compressed texture image data that can be processed by the image processor, it can be determined whether there is compressed texture image data that can be processed by the graphics processor in the image data to be processed.

If there is compressed texture image data that can be processed by the graphics processor in the image data to be processed, step 207 is entered.

If there is no compressed texture image data that can be processed by the graphics processor in the image data to be processed, step 209 is entered.

In step 207, the target image data to be processed is selected from the image data to be processed according to the priority.

It can be understood that the target image data to be processed that the graphics processor can support can be selected from the image data to be processed according to the compressed texture image data that the graphics processor can process.

For example, the graphics processor of the electronic device supports image data in three compressed texture formats: ETC1, ETC2, and ASTC. The image data in the three compressed texture formats of ETC1, ETC2, and ASTC in the image data to be processed can be selected as the target to be processed. Process image data. If the graphics processor of the electronic device only supports image data in the ETC1 compressed texture format, then the image data in the ETC1 compressed texture format is selected as the target image data to be processed.

The priority can also be set according to the level of compressed texture formats supported by the graphics processor. For example, if an electronic device equipped with an Android system supports two compressed texture formats, ETC2 and ETC1, then the image data level of the ETC2 compressed texture format is set higher because When the electronic device supports ETC2, it means that the graphics processor of the electronic device supports OpenGL 3.0. OpenGL is an underlying 3D graphics library that is easy to call. The version corresponding to OpenGL3.0 must be more comprehensive than the OpenGL2.0 version. If in the electronic device When the device's graphics processor does not support OpenGL 3.0, image data in the ETC1 compressed texture format can only be selected as a higher priority, because if the graphics processor supports the ETC1 compressed texture format, the graphics processor must support OpenGL. Version 2.0.

In step 208, the target image data to be processed is selected from the image data to be processed according to the priority.

Image data in compressed texture format with higher priority can be selected and set as the target image data to be processed. For example, if the priority level is 10, image data to be processed with a priority higher than 5 is selected as the target image data to be processed, that is, image data to be processed with a priority higher than a preset threshold can be selected as the target image data to be processed.

You can also directly select the image data to be processed with the highest priority as the target image data to be processed.

In step 209, the target image data to be processed is input to the graphics processor for image rendering.

The target image data to be processed is input to the graphics processor, and the image processor adopts a corresponding recognition algorithm for the target image data to be processed, and extracts the corresponding image data in a compressed texture format and inputs it into the graphics processor for rendering for image rendering.

For example, if the current device graphics processor is NVIDIA's Tegra series or Intel's Bay Trail series, the DXT texture recognition algorithm is used to extract the compressed texture data and directly hand it over to the GPU for drawing.

If the compressed texture format supported by the graphics processor does not exist in the image data to be processed, then proceed to step 210 to obtain the original image data according to the image processing instructions.

It can be understood that the input image data can be the original image, for example, common PNG, JPG, BMP, GIF and other formats. Image data in these formats cannot be processed by GPU (Graphics Processing Unit) and requires CPU (Central Processing Unit). processor) to decompress it into a bitmap (bitmap), and then you can obtain the image data to be processed in the corresponding texture format according to the bitmap, such as R5G6B5, A4R4G4B4, A1R5G5B5, R8G8B8, A8R8G8B8 and other formats.

In step 211, the original image data is input to the graphics processor for image rendering.

For example, for a 512*512 texture image, the R5G6B5 format file needs to occupy 512KB capacity (512*512*2/1024), and for the R8G8B8A8 format file, it needs to occupy 1MB capacity. If it is a 1024*1024 texture image, the format files of R5G6B5 and R8G8B8A8 require 2MB and 4MB respectively.

Although the image texture data in the original image is directly input to the graphics processor for processing, which takes up more memory resources when processing the image, it can avoid application errors caused by the electronic device not supporting all compressed texture formats of the image to be processed. Operation abnormality.

To sum up, in the embodiments of the present application, image data to be processed in a variety of compressed texture formats is obtained through image processing instructions, and then the graphics processor is controlled to generate a display interface, obtain parameter information of the display interface, and obtain image processing information based on the parameter information. The type information of the processor is obtained, the compressed texture image data that can be processed by the graphics processor is obtained according to the type information, and the priority is set for the compressed texture image data of different compressed texture formats.

If there is compressed texture image data that can be processed in the image data to be processed, select the target compressed image data to be processed in the image data to be processed according to the priority, and input the target image data to be processed to the graphics processor for image rendering; If there is no compressed texture image data that can be processed by the graphics processor in the image data to be processed, the original image is obtained according to the image processing instructions, and the original image data is input to the graphics processor for image rendering.

The image processing method described in this application can actively select the compressed texture format of image data and perform selective processing on it, so that the memory resources occupied during image processing are lower and the efficiency of image processing is improved.

Correspondingly, embodiments of the present application also provide an image processing device corresponding to the image processing method. Please refer to FIG. 3 , which is a first structural schematic diagram of an image processing device provided by an embodiment of the present application. The image processing device includes: a first acquisition module 310, a second acquisition module 320, a selection module 330 and a rendering module 340.

The first acquisition module 310 is configured to receive image processing instructions, and acquire image data to be processed in multiple compressed texture formats according to the image processing instructions.

During image processing, image data in a variety of compressed texture formats can be obtained, such as image data in compressed texture formats such as ETC1, ETC2, PVRTC, ASTC, and DXT.

Among them, different compressed texture formats have different characteristics. For example, ETC1 compressed texture format is a standard image compression texture format. ETC1 only supports RGB channels and does not support alpha transparency channels; ETC2 compressed texture format is a standard image compression format. Compressed texture format, ETC2 supports alpha transparency channel in addition to RGB channels. The ASTC compressed texture format can be supported by electronic devices using Qualcomm's Adreno series graphics processors, and the PVRTC compressed texture format can be supported by electronic devices using PowerVR series graphics processors.

The first acquisition module 310 can acquire image data to be processed in a variety of compressed texture formats through image processing instructions, where the image data to be processed can be stored locally on the electronic device or in the cloud.

The second obtaining module 320 is used to obtain the type information of the graphics processor.

Different manufacturers have different graphics processors. For example, Qualcomm's Adreno series of graphics processors are its own type of GPU, or Nvidia's Tegra series of graphics processors, Intel's Bay Trail series of graphics processors, etc.

Depending on the type of graphics processor, the compressed texture formats of supported image data are naturally different. For example, image data in PVRTC compressed texture format can be supported by electronic devices using PowerVR series graphics processors, and image data in ASTC compressed texture format can be supported by electronic devices using PowerVR series graphics processors. Can be supported by electronic devices using Adreno series graphics processors.

In addition, please refer to FIG. 4 as well. FIG. 4 is a second structural schematic diagram of an image processing device provided by an embodiment of the present application. Among them, the second acquisition module 320 includes an interface generation sub-module 321 and a type acquisition sub-module 322.

The interface generation sub-module 321 is used to control the graphics processor to generate a display interface, where the display interface is a transparent interface.

Before processing the image data to be processed, it is necessary to obtain the type information of the graphics processor of the electronic device.

The interface generation sub-module 321 can control the graphics processor to generate a display interface. This display interface can be transparent to prevent blocking the user's field of view and causing a poor user experience.

For example, in electronic devices equipped with the Android system, the graphics processor type information can be obtained through the Java API provided by Android. Specifically, the graphics processing type information is obtained with the help of OpenGL, which is used to render 2D and 3D. Cross-language, cross-platform application programming interface for vector graphics. You can implement a GLSurfaceView.Renderer interface, set the renderer (renderer) to a GLSurfaceView, and then mount it to an Activity (application component, providing a screen that users can use to interact in order to complete a task), where Hanging in an Activity can be understood as an interface in Android, and this interface can be set to transparent.

The type acquisition sub-module 322 is used to obtain parameter information of the display interface, and obtain type information of the imager according to the parameter information.

The type acquisition sub-module 322 can obtain the type information of the graphics processor from the above-mentioned GLSurfaceView.Renderer interface. The type information of the graphics processor can also be obtained from the system information signature of the electronic device.

The selection module 330 is configured to select target image data to be processed among the image data to be processed in the plurality of compressed texture formats according to the type information.

After obtaining the image data to be processed in various compressed texture formats such as ETC1, ETC2, PVRTC, ASTC, and DXT, the compressed texture format supported by the graphics processor can be selected according to the type information of the graphics processor, and then the graphics can be The image data to be processed in a compressed texture format supported by the processor is selected as the target image data to be processed.

For example, the graphics processor of the electronic device supports image data in three compressed texture formats: ETC1, ETC2, and ASTC. The image data in the three compressed texture formats of ETC1, ETC2, and ASTC in the image data to be processed can be selected as the target to be processed. Process image data. If the graphics processor of the electronic device only supports image data in the ETC1 compressed texture format, then the image data in the ETC1 compressed texture format is selected as the target image data to be processed.

Referring to FIG. 4 , the selection module 330 includes an acquisition sub-module 331 and a selection sub-module 332 .

Acquisition sub-module 331 is used to acquire compressed texture graphics data that can be processed by the graphics processor according to the type information.

Different types of graphics processors support different compressed texture formats. For example, image data in PVRTC compressed texture format can be supported by electronic devices using PowerVR series graphics processors, and image data in ASTC compressed texture format can be supported by Adreno series graphics. Processor electronics support.

The acquisition sub-module 331 may acquire compressed texture image data in a compressed texture format supported by the graphics processor of the electronic device according to the type information.

The selection sub-module 332 is used to select target image data to be processed from the image data to be processed according to the processable compressed texture image data.

The selection sub-module 332 is specifically configured to set priorities for the processable compressed texture image data of different compressed texture formats; and select target image data to be processed from the image data to be processed according to the priorities.

The graphics processor of electronic equipment can support image data in a variety of compressed texture formats. The processing time and efficiency of the graphics processor for image data in different compressed texture formats will be different. The image data after processing the image data in different compressed texture formats will be different. The effect will also be different.

For example, the priority of the compressed texture image data can be set according to the speed at which the graphics processor processes the compressed texture data of different compressed texture formats. The faster the processing speed, the higher the priority of the corresponding compressed texture image data. The priority of the compressed texture image data can also be set based on the display effect of the image after the graphics processor processes the compressed texture image data. The better the image quality, the higher the priority of the corresponding compressed texture image data.

The rendering module 340 is used to input the target image data to be processed to the graphics processor for image rendering.

After selecting the target image data to be processed, the rendering module 340 can select image data in a compressed texture format and input it into the graphics processor, so that the graphics processor processes the image data, and finally implements image rendering.

For example, if the graphics processor of the current electronic device is NVIDIA's Tegra series or Intel's BayTrail series, the DXT texture recognition algorithm is used to extract the compressed texture data and directly hand it over to the GPU for rendering.

If the graphics processor of the current electronic device can support image data in a variety of compressed texture formats, the target image data to be processed can be selected based on comprehensive factors such as the quality, speed, and duration of the drawn image, and the selected target image data And input it into the image processor for rendering.

Referring to FIG. 4 , the image processing device further includes a judgment module 350 . The determination module 350 is configured to determine whether the processable compressed texture image data exists in the image data to be processed according to the type information.

If the selection module 350 determines that the processable compressed texture image data exists in the image data to be processed, the rendering module 340 will process the target image data to be processed.

If the selection module 350 determines that the processable compressed texture image data does not exist in the image data to be processed, the original image data is obtained according to the image processing instruction, and the original image data is input to the graphics processor for image rendering. .

To sum up, in the embodiments of the present application, image data to be processed in a variety of compressed texture formats is obtained through image processing instructions, and then the graphics processor is controlled to generate a display interface, obtain parameter information of the display interface, and obtain image processing information based on the parameter information. The type information of the processor is obtained, the compressed texture image data that can be processed by the graphics processor is obtained according to the type information, and the priority is set for the compressed texture image data of different compressed texture formats.

If there is compressed texture image data that can be processed in the image data to be processed, select the target compressed image data to be processed in the image data to be processed according to the priority, and input the target image data to be processed to the graphics processor for image rendering; If there is no compressed texture image data that can be processed by the graphics processor in the image data to be processed, the original image is obtained according to the image processing instructions, and the original image data is input to the graphics processor for image rendering.

The image processing method described in this application can actively select the compressed texture format of image data and perform selective processing on it, so that the memory resources occupied during image processing are lower and the efficiency of image processing is improved.

Correspondingly, an embodiment of the present application also provides an electronic device. Please refer to FIG. 5 . FIG. 5 is a schematic structural diagram of the electronic device provided by an embodiment of the present application.

The electronic device 400 includes: a display unit 401, an input unit 402, a memory 403, a central processing unit 405, a power supply 404, a sensor 406 and other components. Those skilled in the art can understand that the structure of the electronic device shown in the figures does not constitute a limitation of the electronic device, and may include more or fewer components than shown in the figures, or combine certain components, or arrange different components. in:

The display unit 401 may be used to display information input by the user or information provided to the user as well as various graphical user interfaces of the electronic device. These graphical user interfaces may be composed of graphics, text, icons, videos, and any combination thereof. The display unit 401 may include a display panel, and optionally, the display panel may be configured in the form of a liquid crystal display (LCD), an organic light-emitting diode (OLED, an organic light-emitting diode), or the like. Further, the touch-sensitive surface can cover the display panel. When the touch-sensitive surface detects a touch operation on or near the touch-sensitive surface, it is sent to the central processor 404 to determine the type of the touch event. Then the central processor 404 determines the type of the touch event according to the type of the touch event. Provide corresponding visual output on the display panel. Although in FIG. 5 , the touch-sensitive surface and the display panel are used as two independent components to implement the input and input functions, in some embodiments, the touch-sensitive surface and the display panel can be integrated to implement the input and output functions.

The input unit 402 may be used to receive input numeric or character information, and to generate keyboard, mouse, joystick, optical or trackball signal input related to user settings and function control. Specifically, in a specific embodiment, the input unit 402 may include a touch-sensitive surface as well as other input devices. A touch-sensitive surface, also known as a touch display or trackpad, can collect the user's touch operations on or near it (such as the user using a finger, stylus, or any suitable object or accessory on or near the touch-sensitive surface). operations near the surface), and drive the corresponding connection device according to the preset program. Optionally, the touch-sensitive surface may include two parts: a touch detection device and a touch controller. Among them, the touch detection device detects the user's touch orientation, detects the signal brought by the touch operation, and transmits the signal to the touch controller; the touch controller receives the touch information from the touch detection device, converts it into contact point coordinates, and then sends it to the touch controller. to the central processor 404, and can receive and execute commands sent by the central processor 404. In addition, touch-sensitive surfaces can be implemented using a variety of types including resistive, capacitive, infrared, and surface acoustic waves. In addition to touch-sensitive surfaces, input unit 402 may also include other input devices. Specifically, other input devices may include, but are not limited to, one or more of a physical keyboard, function keys (such as volume control keys, switch keys, etc.), trackball, mouse, joystick, etc.

The memory 403 can be used to store software programs and modules, and the processor 404 executes various functional applications and data processing by running the software programs and modules stored in the memory 403 . The memory 404 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the storage data area may store a program based on Data created by the use of electronic devices (such as audio data, phone books, etc.), etc. In addition, the memory 403 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. Accordingly, the memory 403 may also include a memory controller to provide the processor 404 and the input unit 402 with access to the memory 403.

The electronic device also includes a power supply 405 (such as a battery) that supplies power to various components. Preferably, the power supply can be logically connected to the central processor 404 through a power management system, so that functions such as charging, discharging, and power consumption management can be implemented through the power management system. . Power supply 405 may also include one or more DC or AC power supplies, recharging systems, power failure detection circuits, power converters or inverters, power status indicators, and other arbitrary components.

The electronic device may also include at least one sensor 406, such as a light sensor, a pressure sensor, a motion sensor, and other sensors. Specifically, the light sensor may include an ambient light sensor and a proximity sensor. The ambient light sensor may adjust the brightness of the display panel according to the brightness of the ambient light. The proximity sensor may close the display panel and/or when the electronic device moves to the ear. Backlight. As a kind of motion sensor, the gravity acceleration sensor can detect the magnitude of acceleration in various directions (usually three axes). It can detect the magnitude and direction of gravity when stationary. It can be used to identify applications of mobile phone posture (such as horizontal and vertical screen switching, related Games, magnetometer attitude calibration), vibration recognition related functions (such as pedometer, knock), etc.; as for other sensors such as gyroscopes, barometers, hygrometers, thermometers, infrared sensors, etc. that can also be configured in electronic devices, they are not mentioned here. Again.

Although not shown, the electronic device may also include a camera, a Bluetooth module, etc., which will not be described again here. Specifically in this embodiment, the central processor 404 in the electronic device will load the executable files corresponding to the processes of one or more application programs into the memory 403 according to the following instructions, and run by the central processor 404 Application programs stored in memory 403 to implement various functions:

Receive image processing instructions, and obtain image data to be processed in multiple compressed texture formats according to the image processing instructions;

Get the type information of the graphics processor;

Select target image data to be processed among the image data to be processed in the plurality of compressed texture formats according to the type information;

The target image data to be processed is input to the graphics processor for image rendering.

Those of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructions, or by controlling relevant hardware through instructions. The instructions can be stored in a computer-readable storage medium, and loaded and executed by the processor.

To this end, embodiments of the present application provide a storage medium in which multiple instructions are stored, and the instructions can be loaded by a processor to execute steps in any image processing method provided by embodiments of the present application. For example, this command can perform the following steps:

Receive image processing instructions, and obtain image data to be processed in multiple compressed texture formats according to the image processing instructions;

Get the type information of the graphics processor;

Select target image data to be processed among the image data to be processed in the plurality of compressed texture formats according to the type information;

The target image data to be processed is input to the graphics processor for image rendering.

For the specific implementation of each of the above operations, please refer to the previous embodiments and will not be described again here.

The storage medium may include: read only memory (ROM, Read Only Memory), random access memory (RAM, Random Access Memory), magnetic disk or optical disk, etc.

Since the instructions stored in the storage medium can execute the steps in any image processing method provided by the embodiments of this application, therefore, it is possible to achieve what can be achieved by any image processing method provided by the embodiments of this application. The beneficial effects can be found in the previous embodiments for details and will not be described again here.

The above has introduced in detail an image processing method, device, electronic equipment and storage medium provided by the embodiments of the present application. This article uses specific examples to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only It is used to help understand the methods and core ideas of this application; at the same time, for those skilled in the art, there will be changes in the specific implementation and application scope based on the ideas of this application. In summary, this specification The contents should not be construed as limitations on this application.

Claims (10)

1. An image processing method, characterized in that the method includes: Receive image processing instructions, and obtain image data to be processed in multiple compressed texture formats according to the image processing instructions; Get the type information of the graphics processor; Selecting the target image data to be processed among the image data to be processed in the plurality of compressed texture formats according to the type information includes: obtaining the compressed texture graphics data processable by the graphics processor according to the type information; Processable compressed texture image data selects target image data to be processed among the image data to be processed; The target image data to be processed is input to the graphics processor for image rendering. 2. The image processing method according to claim 1, wherein selecting target image data to be processed from the image data to be processed according to the processable compressed texture image data includes: Setting priorities for said processable compressed texture image data of different compressed texture formats; Target image data to be processed is selected from the image data to be processed according to the priority. 3. The image processing method according to claim 1, characterized in that, before selecting target image data to be processed in the image data to be processed according to the processable compressed texture image data, the method further includes: Determine whether the processable compressed texture image data exists in the image data to be processed according to the type information; If not, obtain the original image data according to the image processing instruction; The original image data is input to the graphics processor for image rendering. 4. The image processing method according to claim 1, characterized in that said obtaining the type information of the graphics processor includes: Control the graphics processor to generate a display interface, where the display interface is a transparent interface; Obtain parameter information of the display interface; Obtain the type information of the graphics processor according to the parameter information. 5. An image processing device, characterized in that the device includes: A first acquisition module, configured to receive image processing instructions and obtain image data to be processed in multiple compressed texture formats according to the image processing instructions; The second acquisition module is used to obtain the type information of the graphics processor; A selection module configured to select target image data to be processed among the image data to be processed in the plurality of compressed texture formats according to the type information; A rendering module, configured to input the target image data to be processed to the graphics processor for image rendering; Among them, the selection module includes: Obtaining sub-module, configured to obtain compressed texture graphics data that can be processed by the graphics processor according to the type information; A selection submodule is configured to select target image data to be processed from the image data to be processed according to the processable compressed texture image data. 6. The image processing device according to claim 5, characterized in that: The selection sub-module is specifically used for: Setting priorities for said processable compressed texture image data of different compressed texture formats; Target image data to be processed is selected from the image data to be processed according to the priority. 7. The image processing device according to claim 5, characterized in that the device further comprises: A judgment module, configured to judge whether the processable compressed texture image data exists in the image data to be processed according to the type information; When the judgment result of the judgment module is negative, the rendering module is used to obtain original image data according to the image processing instruction, and input the original image data to the graphics processor for image rendering. 8. The image processing device according to claim 5, characterized in that the second acquisition module includes: An interface generation submodule is used to control the graphics processor to generate a display interface, where the display interface is a transparent interface; A type acquisition sub-module is used to obtain parameter information of the display interface, and obtain type information of the graphics processor according to the parameter information. 9. An electronic device, characterized in that it includes: A memory storing executable program code, a processor coupled to the memory; The processor calls the executable program code stored in the memory to execute the steps in the image processing method according to any one of claims 1 to 4. 10. A storage medium, characterized in that the storage medium stores a plurality of instructions, and the instructions are suitable for loading by the processor to execute the steps in the image processing method according to any one of claims 1 to 4. .