CN117278689A - Image processing method and electronic equipment - Google Patents

Abstract

This application discloses an image processing method and electronic equipment, which belong to the field of image processing. The method is applied to an electronic device, and the electronic device includes a first image processor and a second image processor; the method includes: the first image processor performs a first process on the original image output by the image sensor to obtain A first image with a first resolution; the first resolution is a maximum resolution supported by the electronic device; the first image processor transmits the first image to the second image processor; the first image processor The second image processor performs effect processing on the first image to obtain a second image; the second image processor performs second processing on the second image to obtain a third image with a second resolution. The second resolution is the resolution selected by the user.

Description

Image processing method and electronic equipment

Technical field

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

Background technique

With the rapid development of mobile electronic devices, users have more and more requirements for the resolution supported by video recording. Common video resolutions are 1280*720, 1920*1080, 3840*2160, and their corresponding movie frames 1280*528, 1920*800, 3840*1600. The current technical solution is to have a built-in image processor to support different resolutions through compression or cropping.

After the built-in image processor receives the original image from the image sensor, it first processes the original image according to the resolution selected by the user, obtains the resolution required by the user, and then performs subsequent image stabilization, beautification, filters, etc. Algorithmic processing. This will require that all algorithm execution processes must support image processing at multiple resolutions, resulting in an increase in the complexity of all image algorithms.

Contents of the invention

The purpose of the embodiments of the present application is to provide an image processing method and electronic device to solve the problem of high complexity of the existing image processing process.

In a first aspect, embodiments of the present application provide an image processing method, applied to an electronic device, where the electronic device includes a first image processor and a second image processor:

The methods include:

The first image processor performs first processing on the original image output by the image sensor to obtain a first image with a first resolution; the first resolution is the maximum resolution supported by the electronic device;

the first image processor transmits the first image to the second image processor;

The second image processor performs effect processing on the first image to obtain a second image;

The second image processor performs a second process on the second image to obtain a third image with a second resolution, where the second resolution is a resolution selected by the user.

In a second aspect, embodiments of the present application provide an electronic device, including:

A first image processor, configured to perform first processing on the original image output by the image sensor to obtain a first image with a first resolution; transmit the first image to the second image processor; the first The resolution is the maximum resolution supported by the electronic device;

a second image processor, configured to perform effect processing on the first image to obtain a second image; perform second processing on the second image to obtain a third image with a second resolution, the second resolution is the resolution selected by the user.

In a third aspect, embodiments of the present application provide an electronic device. The electronic device includes a processor, a memory, and a program or instructions stored on the memory and executable on the processor. The program or instructions are When executed by the processor, the steps of the method described in the first aspect are implemented.

In a fourth aspect, embodiments of the present application provide a readable storage medium. Programs or instructions are stored on the readable storage medium. When the programs or instructions are executed by a processor, the steps of the method described in the first aspect are implemented. .

In a fifth aspect, embodiments of the present application further provide a chip. The chip includes a processor and a communication interface. The communication interface is coupled to the processor. The processor is used to run programs or instructions to implement the first step. methods described in this regard.

In the embodiment of the present application, the first image processor performs first processing on the original image to obtain a first image with maximum resolution; the second image processor performs effect processing on the first image to obtain a second image, and the second image The image also has a maximum resolution; the second image processor performs a second process on the second image to obtain a third image with a second resolution that meets the user's needs. Therefore, in the image processing process of the first image processor and the second image processor, they only need to process images of a single resolution, and the algorithm inside the image processor only needs to support images of one resolution. The method of processing the maximum resolution image and finally adjusting it to the image resolution required by the user simplifies the processing logic of images with different resolutions and simplifies the complexity of system pathways and algorithms.

Description of the drawings

Figure 1 is one of the flow diagrams of the image processing method according to the embodiment of the present application;

Figure 2 is the second schematic flow chart of the image processing method according to the embodiment of the present application;

Figure 3 is one of the structural schematic diagrams of an electronic device according to an embodiment of the present application;

Figure 4 shows the second structural schematic diagram of the electronic device according to the embodiment of the present application;

FIG. 5 shows the third structural schematic diagram of the electronic device according to the 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 part 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 of ordinary skill in the art without creative efforts fall within the scope of protection of this application.

The terms "first" and "second" features in the description and claims of this application may include one or more of these features, either explicitly or implicitly. In the description of the present invention, unless otherwise specified, "plurality" means two or more. In addition, "and/or" in the description and claims indicates at least one of the connected objects, and the character "/" generally indicates that the related objects are in an "or" relationship.

As shown in Figure 1, an embodiment of the present application provides an image processing method, which is applied to an electronic device. The electronic device includes a first image processor and a second image processor; the method includes:

Step 101. The first image processor performs a first process on the original image output by the image sensor to obtain a first image with a first resolution; the first resolution is the maximum resolution supported by the electronic device;

Step 102: The first image processor transmits the first image to the second image processor;

Step 103: The second image processor performs effect processing on the first image to obtain a second image;

Step 104: The second image processor performs a second process on the second image to obtain a third image with a second resolution, where the second resolution is the resolution selected by the user.

In this embodiment, the first image processor may be an image processing module in the main control chip of the electronic device, and the second image processor may be an independent image processing chip of the electronic device, and the image processing chip and The main control chip is connected to implement the image processing process of the embodiment of the present application.

The first image processor is connected to an image sensor of the electronic device. The image sensor generates a continuous original image stream at a fixed frame rate according to the current scene and transmits it to the first image processor for front-end processing. The front-end processing is, for example, : Image format conversion, image cropping to the largest supported image, electronic image stabilization, face detection, spatial alignment conversion, etc.

After receiving the original image transmitted by the image sensor, the first image processor performs first processing on the original image. The first processing may be a cropping process, that is, cropping the original image into a maximum resolution image supported by the electronic device. , obtain the first image. The first image processor is connected to the second image processor. The first image processor sends the first image with the maximum resolution to the second image processor. The second image processor Perform effect processing on the first image to obtain a second image. Among them, the effect processing includes blurring, noise reduction, beautification, etc. The effect processing will not change the resolution of the image. The second image processor performs second processing on the second image to obtain a third image with a target resolution that meets user requirements. Since the resolution of the first image received by the second image processor is the first resolution, the effect processing and the second processing are all based on image processing of one resolution. Therefore, the external image processor The processing logic is simpler than the image processing process of multiple resolutions. For external image processors, since they only need to process images of a single resolution, their internal algorithms only need to support images of one resolution, and the algorithm logic is simplified.

The first image processor and the second image processor implement multi-level processing of images, and during the processing process, they only need to process images of a single resolution, that is, they only need to support image processing of the maximum resolution, which greatly simplifies The complexity of system pathways and algorithms.

In the embodiment of the present application, the first image processor performs first processing on the original image to obtain a first image with maximum resolution; the second image processor performs effect processing on the first image to obtain a second image, and the second image The image also has a maximum resolution; the second image processor performs a second process on the second image to obtain a third image with a second resolution that meets the user's needs. Therefore, in the image processing process of the first image processor and the second image processor, they only need to process images of a single resolution, and the algorithm inside the image processor only needs to support images of one resolution. The method of processing the maximum resolution image and finally adjusting it to the image resolution required by the user simplifies the processing logic of images with different resolutions and simplifies the complexity of system pathways and algorithms.

Optionally, the method also includes:

The first image processor performs third processing on the first image, and transmits the third processed first image to the second image processor;

Wherein, the third processing includes at least one of the following:

Electronic Image Stabilization (EIS);

Face Detection;

Spatial Alignment Transform (SAT).

In this embodiment, after the first image processor obtains the first image with the maximum resolution, it can also perform one or more processes on the first image such as EIS, face detection, SAT, etc., so that the first image processor All algorithms in the image processing process of the image processor only need to support image processing of one resolution. For all resolution required scenes and movie frame scenes, the processing flow and algorithm in the first image processor are the same. , so this part does not require separate customized modifications, which greatly simplifies the complexity of the system path and algorithm.

Optionally, the second image processor performs a second process on the second image to obtain a third image with a second resolution, including at least one of the following:

The second image processor downsamples the second image to obtain a third image with a second resolution;

The second image processor crops the second image to obtain a third image with a second resolution.

In this embodiment, the first image processor sends the processed first image to the second image processor, and the second image processor can first continue to blur, reduce noise, and beautify the first image with a single resolution. Color and other effect processing. Since the second image processor receives only one resolution image, the image processing logic of the second image processor is simpler than the processing logic of multiple resolution images.

The second image processor performs downsampling or cropping on the effect-processed second image to obtain a third image with a resolution desired by the user. Optionally, if the visible area of the image does not need to be changed, the second image can be downsampled, and if the visible area of the image needs to be changed, the second image can be cropped. For example: when the image processing is for movie frames, the second image processor performs cropping processing on the second image.

Optionally, the method further includes: the second image processor transmitting the third image to the first image processor. After the second image processor performs downsampling or cropping processing on the second image to obtain a third image with a resolution that meets the user's requirement, the second image processor returns the third image to the first image processor.

Optionally, the method also includes at least one of the following:

the first image processor sends the third image to an encoder;

the first image processor sends the third image to the display;

In this embodiment, the encoder may be an adaptive encoder, and the first image processor may receive a third image with a resolution that meets user requirements and send it to the encoder, and the encoder may The multi-frame images contained are encoded and can be saved as video files. The first image processor may also send the third image to the display as a real-time preview. In this way, both the preview and recording files contain video images with the resolution expected by the user.

The following uses image processing in a video recording scene as an example to illustrate the process of implementing multi-level image processing in embodiments of the present application.

Assume that the maximum resolution supported by the electronic device is 4K, and the target resolution selected by the user is 1080P (1920*1080) or 3840*1600.

As shown in Figure 2, it includes:

Step 201: The image sensor outputs an initial image.

In this step, the image sensor generates a continuous original image stream at a fixed frame rate based on the current scene, and transmits it to the first image processor for front-end processing.

Step 202: The first image processor performs front-end processing, and the algorithm only supports single-resolution image processing.

After receiving the original image stream from the sensor, the first image processor crops the original image into a supported maximum resolution image (that is, 4K). The first image processor performs EIS, face detection, SAT and other algorithm processing on the cropped image. In this way, all algorithms processed in the first image processor only need to support image processing of this resolution.

For all resolutions and movie-frame scenes, the processing flow and algorithm in the first image processor are the same, so this part does not need to be customized and modified separately, which greatly simplifies the complexity of the system pathway and algorithm. At the same time, since only one resolution image is processed, the data transmission logic between the first image processor and the second image processor is also simplified, and only the transmission of one resolution image needs to be maintained.

Step 203: The second image processor receives the single resolution image and performs effect processing.

The second image processor receives the image with a single resolution and performs effect processing such as blurring, noise reduction, and beautification. Since the second image processor receives only one resolution image, the image processing logic of the second image processor is simpler than image processing with multiple resolutions.

Since it only needs to process images of a single resolution, the algorithm inside the second image processor only needs to support images of one resolution, simplifying the algorithm logic.

Step 204: The second image processor downsamples or crops the image to an image with a resolution desired by the user.

After all algorithms are processed, the plug-in image processor downsamples the processed image according to the resolution requirements selected by the user, so that the final image is the resolution selected by the user. For example: downsample a 4K (3840*2160) image into 1080P (1920*1080).

Or, for the processing of movie frames, an external image processor is required to achieve it through cropping. For example: downsample a 4K (3840*2160) image to 3840*1600.

After downsampling or cropping by the external image processor, the image with the resolution that meets the user's requirements is sent back to the built-in image processor.

Step 205: Save and display the recorded video.

The first image processor receives an image with a resolution that meets the user's requirements, and can send it to the encoder to save as a video file, or it can also send it to the monitor for real-time preview. In this way, both the preview and recording files contain video images with the resolution expected by the user.

This embodiment solves the problem in multi-level image signal processing that for multiple different resolutions, various algorithms need to support complex logic such as adapting images with different resolutions. The method of uniformly processing the maximum resolution image through hierarchies and finally uniformly adjusting the image resolution simplifies the processing logic of images with different resolutions. At the same time, it also simplifies the image transmission logic between multi-level image signal processors and reduces the complexity of external image processing chip design.

It should be noted that the image processing method of this application can be applied to a variety of image processing scenarios and can be applied to all multi-level image processing scenarios with complex algorithms. This method can be used to simplify the complexity of pathways and algorithms, not just Limited to camera recording scenes, it can also be used for image signal processing (ISP), graphics processing unit (GPU), effortless network processor (NeuralProcessing Unit, NPU) and data processor (Data The image processing function in the Processing Unit (DPU), for example: in the process of using the GPU to perform 3D drawing and finally displaying it on the screen through the DPU, if the drawn image has multiple resolution requirements, the method in the embodiment of this application can also be used To simplify algorithms and pathways.

As shown in Figure 3, an embodiment of the present application also provides an electronic device 300, including:;

The first image processor 310 is configured to perform first processing on the original image output by the image sensor to obtain a first image with a first resolution; transmit the first image to the second image processor; One resolution is the maximum resolution supported by the electronic device;

The second image processor 320 is configured to perform effect processing on the first image to obtain a second image; perform second processing on the second image to obtain a third image with a second resolution, and the second resolution rate is the resolution selected by the user.

Optionally, the first image processor is further configured to: perform a third process on the first image, and transmit the third processed first image to the second image processor;

Wherein, the third processing includes at least one of the following:

Electronic image stabilization EIS;

Face Detection;

Spatially aligned transformation SAT.

Optionally, the second image processor is specifically configured to perform at least one of the following:

Downsample the second image to obtain a third image with a second resolution;

The second image is cropped to obtain a third image with a second resolution.

Optionally, the second image processor is further configured to: transmit the third image to the first image processor.

Optionally, the first image processor is also used to perform at least one of the following:

sending the third image to the encoder;

Send the third image to the display.

In the embodiment of the present application, the first image processor performs the first processing on the original image to obtain the first image with the maximum resolution. The second image processor performs effect processing on the first image to obtain a second image, which also has the maximum resolution; the second image processor performs second processing on the second image to obtain a second image that meets the user's needs. resolution of the third image. Therefore, during image processing by the first image processor and the second image processor, they only need to process images of a single resolution, and the algorithm inside the image processor only needs to support images of one resolution, simplifying processing of different resolutions. The processing logic of high-resolution images simplifies the complexity of system pathways and algorithms.

The electronic device in the embodiment of the present application may also refer to components in the electronic device, such as integrated circuits or chips. The electronic device may be a terminal or other devices other than the terminal. For example, the electronic device may be a mobile phone, a tablet computer, a notebook computer, a handheld computer, a vehicle-mounted electronic device, a mobile Internet device (MID), or augmented reality (AR)/virtual reality (VR). Devices, robots, wearable devices, ultra-mobile personal computers (UMPC), netbooks or personal digital assistants (PDA), etc., can also be servers, network attached storage (Network Attached Storage, NAS), etc. ), personal computer (PC), television (TV), teller machine or self-service machine, etc., the embodiments of this application are not specifically limited.

The electronic device in the embodiment of the present application may be a device with an operating system. The operating system can be an Android operating system, an ios operating system, or other possible operating systems, which are not specifically limited in the embodiments of this application.

The electronic device provided by the embodiment of the present application can implement each process implemented by the electronic device in the method embodiment of Figures 1 to 2. To avoid repetition, details will not be described here.

Optionally, as shown in Figure 4, this embodiment of the present application also provides an electronic device 400. The electronic device may be an image processing device. The electronic device includes a processor 401, a memory 402, and is stored in the memory 402. A program or instruction that can be run on the processor 401. When executed by the processor 401, the program or instruction implements each process of the above image processing method embodiment and can achieve the same technical effect. To avoid duplication, it will not be repeated here. Repeat.

It should be noted that the electronic devices in the embodiments of the present application include the mobile electronic devices and non-mobile electronic devices described above.

FIG. 5 is a schematic diagram of the hardware structure of an electronic device implementing an embodiment of the present application.

The electronic device 500 includes but is not limited to: radio frequency unit 501, network module 502, audio output unit 503, input unit 504, sensor 505, display unit 506, user input unit 507, interface unit 505, memory 509, processor 510, etc. part.

Those skilled in the art can understand that the electronic device 500 may also include a power supply (such as a battery) that supplies power to various components. The power supply may be logically connected to the processor 510 through a power management system, thereby managing charging, discharging, and function through the power management system. Consumption management and other functions. The structure of the electronic device shown in Figure 5 does not constitute a limitation on the electronic device. The electronic device may include more or less components than shown in the figure, or combine certain components, or arrange different components, which will not be described again here. .

Wherein, the processor 510 may include a first image processor and a second image processor;

The first image processor is configured to: perform first processing on the original image output by the image sensor to obtain a first image with a first resolution; the first resolution is the maximum resolution supported by the electronic device; to the second The image processor transmits the first image;

The second image processor is configured to: perform effect processing on the first image to obtain a second image; perform second processing on the second image to obtain a third image with a second resolution, the second resolution rate is the resolution selected by the user.

Optionally, the first image processor in the processor 510 is also configured to: perform a third process on the first image, and transmit the third processed first image to the second image processor. ;

Wherein, the third processing includes at least one of the following:

Electronic image stabilization EIS;

Face Detection;

Spatially aligned transformation SAT.

Optionally, the second image processor in the processor 510 is specifically configured to perform at least one of the following:

Downsample the second image to obtain a third image with a second resolution;

The second image is cropped to obtain a third image with a second resolution.

Optionally, the second image processor in the processor 510 is also configured to transmit the third image to the first image processor.

Optionally, the first image processor in the processor 510 is also configured to perform at least one of the following:

sending the third image to the encoder;

Send the third image to the display.

In the embodiment of the present application, the first image processor performs first processing on the original image to obtain a first image with maximum resolution; the second image processor performs effect processing on the first image to obtain a second image, and the second image The image also has a maximum resolution; the second image processor performs a second process on the second image to obtain a third image with a second resolution that meets the user's needs. Therefore, in the image processing process of the first image processor and the second image processor, they only need to process images of a single resolution, and the algorithm inside the image processor only needs to support images of one resolution. The method of processing the maximum resolution image and finally adjusting it to the image resolution required by the user simplifies the processing logic of images with different resolutions and simplifies the complexity of system pathways and algorithms.

It should be understood that in the embodiment of the present application, the input unit 504 may include a graphics processor (Graphics Processing Unit, GPU) 5041 and a microphone 5042. The graphics processor 5041 is responsible for the image capture device (such as Process the image data of still pictures or videos obtained by the camera). The display unit 506 may include a display panel 5061, which may be configured in the form of a liquid crystal display, an organic light emitting diode, or the like. The user input unit 507 includes a touch panel 5071 and at least one of other input devices 5072 . Touch panel 5071, also called touch screen. The touch panel 5071 may include two parts: a touch detection device and a touch controller. Other input devices 5072 may include, but are not limited to, physical keyboards, function keys (such as volume control keys, switch keys, etc.), trackballs, mice, and joysticks, which will not be described again here.

Memory 509 may be used to store software programs as well as various data. The memory 509 may mainly include a first storage area for storing programs or instructions and a second storage area for storing data, wherein the first storage area may store an operating system, an application program or instructions required for at least one function (such as a sound playback function, Image playback function, etc.) etc. Additionally, memory 509 may include volatile memory or non-volatile memory, or memory 509 may include both volatile and non-volatile memory. Among them, the non-volatile memory can be read-only memory (Read-Only Memory, ROM), programmable read-only memory (Programmable ROM, PROM), erasable programmable read-only memory (Erasable PROM, EPROM), electrically removable memory. Erase programmable read-only memory (Electrically EPROM, EEPROM) or flash memory. Volatile memory can be random access memory (Random Access Memory, RAM), static random access memory (Static RAM, SRAM), dynamic random access memory (Dynamic RAM, DRAM), synchronous dynamic random access memory (Synchronous DRAM, SDRAM), double data rate synchronous dynamic random access memory (Double Data Rate SDRAM, DDRSDRAM), enhanced synchronous dynamic random access memory (Enhanced SDRAM, ESDRAM), synchronous link dynamic random access memory (Synch link DRAM) , SLDRAM) and direct memory bus random access memory (Direct Rambus RAM, DRRAM). Memory 509 in embodiments of the present application includes, but is not limited to, these and any other suitable types of memory.

The processor 510 may include one or more processing units; optionally, the processor 510 integrates an application processor and a modem processor, where the application processor mainly handles operations related to the operating system, user interface, application programs, etc., Modem processors mainly process wireless communication signals, such as baseband processors. It can be understood that the above modem processor may not be integrated into the processor 510.

Embodiments of the present application also provide a readable storage medium. Programs or instructions are stored on the readable storage medium. When the program or instructions are executed by a processor, each process of the above image processing method embodiment is implemented and the same can be achieved. The technical effects will not be repeated here to avoid repetition.

Wherein, the processor is the processor in the electronic device described in the above embodiment. The readable storage media includes computer readable storage media, such as computer read-only memory ROM, random access memory RAM, magnetic disks or optical disks, etc.

An embodiment of the present application further provides a chip. The chip includes a processor and a communication interface. The communication interface is coupled to the processor. The processor is used to run programs or instructions to implement the above image processing method embodiments. Each process can achieve the same technical effect. To avoid duplication, it will not be described again here.

It should be understood that the chips mentioned in the embodiments of this application may also be called system-on-chip, system-on-a-chip, system-on-a-chip or system-on-chip, etc.

Embodiments of the present application provide a computer program product. The program product is stored in a storage medium. The program product is executed by at least one processor to implement each process of the above image processing method embodiment, and can achieve the same technical effect. , to avoid repetition, will not be repeated here.

It should be noted that, in this document, the terms "comprising", "comprises" or any other variations thereof are intended to cover a non-exclusive inclusion, such that a process, method, article or device that includes a series of elements not only includes those elements, It also includes other elements not expressly listed or inherent in the process, method, article or apparatus. Without further limitation, an element defined by the statement "comprises a..." does not exclude the presence of additional identical elements in a process, method, article or apparatus that includes that element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, but may also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved. Functions may be performed, for example, the methods described may be performed in an order different from that described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus the necessary general hardware platform. Of course, it can also be implemented by hardware, but in many cases the former is better. implementation. Based on this understanding, the technical solution of the present application can be embodied in the form of a computer software product that is essentially or contributes to the existing technology. The computer software product is stored in a storage medium (such as ROM/RAM, disk , optical disk), including several instructions to cause a terminal (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods described in various embodiments of this application.

Claims (10)

1. An image processing method, applied to electronic equipment, characterized in that the electronic equipment includes a first image processor and a second image processor; the method includes: The first image processor performs first processing on the original image output by the image sensor to obtain a first image with a first resolution; the first resolution is the maximum resolution supported by the electronic device; the first image processor transmits the first image to the second image processor; The second image processor performs effect processing on the first image to obtain a second image; The second image processor performs a second process on the second image to obtain a third image with a second resolution, where the second resolution is a resolution selected by the user. 2. The method according to claim 1, characterized in that, the method further comprises: The first image processor performs a third process on the first image, and transmits the third processed first image to the second image processor; Wherein, the third processing includes at least one of the following: Electronic image stabilization EIS; Face Detection; Spatially aligned transformation SAT. 3. The method of claim 1, wherein the second image processor performs a second process on the second image to obtain a third image with a second resolution, including at least one of the following: The second image processor downsamples the second image to obtain a third image with a second resolution; The second image processor crops the second image to obtain a third image with a second resolution. 4. The method according to claim 1, characterized in that, the method further comprises: The second image processor transmits the third image to the first image processor. 5. The method according to claim 4, characterized in that the method further includes at least one of the following: the first image processor sends the third image to an encoder; The first image processor sends the third image to the display. 6. An electronic device, characterized in that it includes: a first image processor, configured to perform first processing on the original image output by the image sensor to obtain a first image with a first resolution; to a second image processor Transmit the first image; the first resolution is the maximum resolution supported by the electronic device; a second image processor, configured to perform effect processing on the first image to obtain a second image; perform second processing on the second image to obtain a third image with a second resolution, the second resolution is the resolution selected by the user. 7. The electronic device according to claim 6, wherein the first image processor is further configured to: perform a third process on the first image, and transmit the third image to the second image processor. The first image after three processes; Wherein, the third processing includes at least one of the following: Electronic image stabilization EIS; Face Detection; Spatially aligned transformation SAT. 8. The electronic device according to claim 6, wherein the second image processor is specifically configured to perform at least one of the following: Downsample the second image to obtain a third image with a second resolution; The second image is cropped to obtain a third image with a second resolution. 9. The electronic device according to claim 6, wherein the second image processor is further configured to transmit the third image to the first image processor. 10. A readable storage medium, characterized in that the readable storage medium stores programs or instructions, and when the programs or instructions are executed by a processor, the image processing according to any one of claims 1-5 is implemented. Method steps.