WO2023050590A1

WO2023050590A1 - Image processing method and apparatus, storage medium, and terminal

Info

Publication number: WO2023050590A1
Application number: PCT/CN2021/138185
Authority: WO
Inventors: 王明
Original assignee: 歌尔股份有限公司
Priority date: 2021-09-30
Filing date: 2021-12-15
Publication date: 2023-04-06
Also published as: CN113986530A

Abstract

An image processing method and apparatus, a storage medium, and a terminal, applied to an image acquisition device. The method comprises: generating metadata of an image according to an acquired image (S101); using an idle register among registers storing the metadata for counting to generate a metadata counting total value (S102); embedding the metadata counting total value into the metadata to generate target metadata (S103); obtaining redundant pixels in the image, and counting on the basis of the redundant pixels to generate an image counting total value (S104); embedding the image counting total value into the image to generate a target image (S105); and sending the target metadata and the target image to a client (S106). According to the method, a counting mechanism is added into the image and the metadata, and the counting data generated by the counting mechanism is directly stored in the metadata and the image, and does not rely on the counting mechanism of other modules, so that the certainty of counting is ensured, and the successful matching between the image and the metadata is ensured even if a frame loss problem occurs at a high load.

Description

An image processing method, device, storage medium and terminal

This application claims the priority of the Chinese patent application with the application number 202111164363.5 and the application title "An image processing method, device, storage medium and terminal" submitted to the China Patent Office on September 30, 2021, the entire contents of which are incorporated by reference incorporated in this application.

technical field

The present application relates to the technical field of data processing, and in particular to an image processing method, device, storage medium and terminal.

Background technique

For a camera sensor in an image acquisition device, its output data is mainly divided into two types, one type of image data, which is parsed into pictures taken by our common cameras through ISP; Some exposure, gain and other information of an image. These two kinds of data need to be parsed by the main chip before the metadata can be added to the remark information of the picture.

In the existing technology, each time the camera sensor outputs data, the two types of data are divided into two channels and uploaded to the client. In order to match the image and metadata, the main chip of the client needs to count the image information and metadata , the main chip will add one to the frame number image_index of the image every time it receives an image data, and will add one to the frame number metadata_index of the metadata every time it receives a piece of metadata. The upper layer uses image_index and metadata_index to match the image and metadata. If they have the same serial number, they are considered to be the same camera output. However, in this way, when the main chip load is high and the frame rate is high, the frame data will be lost, resulting in an abnormal count of the image serial number and metadata serial number, and then matching through the serial number will cause the actually matched image and metadata to be separated. It does not belong to the same camera sensor output, which increases the error rate of the picture remark information.

Contents of the invention

Embodiments of the present application provide an image processing method, device, storage medium, and terminal. In order to provide a basic understanding of some aspects of the disclosed embodiments, a brief summary is presented below. This summary is not an overview, nor is it intended to identify key/critical elements or delineate the scope of these embodiments. Its sole purpose is to present some concepts in a simplified form as a prelude to the more detailed description that is presented later.

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

generating metadata of the image according to the collected image;

Counting by using the free registers existing in the registers storing the metadata to generate the total value of the metadata count;

Embed the total value of the metadata count into the metadata to generate the target metadata;

Obtain the redundant pixels in the image, and count based on the redundant pixels to generate the total value of the image count;

Embed the total image count value into the image to generate the target image;

Send target metadata and target image to client.

Optionally, counting is performed by using free registers existing in registers storing metadata to generate a total metadata count value, including:

determining the presence of free registers among registers storing metadata;

Get the current count value in the free register;

Get the preset incremental value;

Add the current count value and the preset increment value to generate the total metadata count value.

Optionally, the method also includes:

Modifies the current count value in the free register to the total metadata count value.

Optionally, the image is collected according to the target resolution;

Before generating the metadata of the image according to the collected image, it also includes:

When receiving the resolution setting instruction, determine the actual resolution of the currently collected image;

Receive input length and width parameters of redundant resolution;

Reset the actual resolution based on the length and width parameters of the redundant resolution to generate the target resolution.

Optionally, count based on redundant pixels to generate a total image count value, including:

Obtain any pixel from the redundant pixel row as a count pixel;

Get the total value of the history count of the last history image;

The total historical count value and the preset incremental value are summed, and the summed value is determined as the total image count value of the counted pixels.

In the second aspect, the embodiment of the present application provides an image processing method, which is applied to the client, and the method includes:

receiving the target metadata and the target image sent by the image acquisition device for the client;

Parse the target metadata and target image, and generate the total value of metadata count and the total value of image count;

Calculate the first total frame sequence number according to the total value of the metadata count;

Calculate the second total frame number according to the total value of the image count;

When the first total frame number is the same as the second total frame number, it is determined that the target metadata is metadata of the target image.

Optionally, the first total frame number is calculated according to the total value of the metadata count, including:

Get the register value of the last frame of historical image;

When the total value of the metadata count is greater than the register value of the last frame of historical image, determine the counting round of the register;

Calculate the first total frame sequence number according to the total value of the metadata count and the count round of the register;

or,

When the total value of the metadata count is less than the register value of the last frame of historical image, determine the counting round of the register;

Add one to the counting round of the register to get the final counting round;

The first total frame number is calculated according to the final counting round and the total value of the metadata count.

In the second aspect, the embodiment of the present application provides an image processing device, which is applied to an image acquisition device, and the device includes:

A metadata generating module, configured to generate metadata of the image according to the collected image;

A metadata counting total value generating module, configured to use the idle registers existing in the metadata storage registers to perform counting to generate the metadata counting total value;

The target metadata generation module is used to embed the total value of the metadata count into the metadata to generate the target metadata;

An image counting total value generation module is used to obtain redundant pixels in the image, and perform counting based on the redundant pixels to generate an image counting total value;

A target image generation module is used to embed the total value of the image count into the image to generate the target image;

The data sending module is used for sending the target metadata and the target image to the client.

In a third aspect, an embodiment of the present application provides a computer storage medium, where a plurality of instructions are stored in the computer storage medium, and the instructions are suitable for being loaded by a processor and executing the above method steps.

In a fourth aspect, an embodiment of the present application provides a terminal, which may include: a processor and a memory; wherein, the memory stores a computer program, and the computer program is adapted to be loaded by the processor and execute the above method steps.

The technical solutions provided by the embodiments of the present application may include the following beneficial effects:

In the embodiment of the present application, the image processing device first generates the metadata of the image according to the captured image, and then counts the free registers existing in the registers storing the metadata to generate the total value of the metadata count, and then counts the metadata The total value of the data count is embedded in the metadata to generate the target metadata, and then the redundant pixels in the image are obtained, and counted based on the redundant pixels, the total value of the image count is generated, and the total value of the image count is embedded into the image to generate the target image, and finally send the target metadata and the target image to the client. Since this application adds a counting mechanism inside the image and metadata itself, the counting data generated by the counting mechanism is directly stored in the metadata and image, without relying on the counting mechanism of other modules, ensuring the determinism of counting, even when high load occurs The problem of frame loss will also ensure the successful matching of images and metadata, thereby reducing the error rate of photo remark information.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only The accompanying drawings are a part of this application. For those skilled in the art, other drawings can be obtained according to the provided drawings without creative work.

FIG. 1 is a schematic flow diagram of an image processing method provided in an embodiment of the present application;

FIG. 2 is a schematic diagram of counting idle registers provided by an embodiment of the present application;

Fig. 3 is a schematic diagram of an image change after setting a resolution provided by an embodiment of the present application;

FIG. 4 is a schematic diagram of division of redundant pixels in an image provided by an embodiment of the present application;

Fig. 5 is a schematic flow chart of another image processing method provided by the embodiment of the present application;

FIG. 6 is a schematic structural diagram of an image processing device provided by an embodiment of the present application;

FIG. 7 is a schematic structural diagram of a terminal provided by an embodiment of the present application.

Detailed ways

The following will describe the technical solutions in the embodiments of the application with reference to the drawings in the embodiments of the application. Apparently, the described embodiments are only some of the embodiments of the application, not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

The present application provides an image processing method, device, storage medium and terminal to solve the problems existing in the above-mentioned related technical problems. In the technical solution provided by this application, since this application adds a counting mechanism inside the image and metadata itself, the free registers in the registers storing metadata are used for cycle counting, and a row of redundant pixels is added to the image data for The counting of image data, in this way, through the counting on the hardware, the generated counting data is directly stored in the metadata and image data, without relying on the counting mechanism of other modules, to ensure the determinism of counting, even if there is a problem of frame loss under high load , it will also ensure that the image and the metadata are successfully matched, thereby reducing the error rate of the photo remark information, which will be described in detail below using an exemplary embodiment.

The image processing method provided by the embodiment of the present application will be described in detail below with reference to FIG. 1 to FIG. 5 . The method can be implemented relying on computer programs, and can run on an image processing device based on the von Neumann system. The computer program can be integrated in the application, or run as an independent utility application.

Please refer to FIG. 1 , which provides a schematic flowchart of an image processing method according to an embodiment of the present application. Applied to an image acquisition device, as shown in Figure 1, the method of the embodiment of the present application may include the following steps:

S101. Generate metadata of the image according to the collected image;

Wherein, the image acquisition device may be a camera, video camera, video camera and other devices. Metadata are shooting parameters of an image, such as ISO, Exposure Index, and Gain Index.

Usually, metadata is automatically generated by the camera sensor. After the image acquisition device acquires the image, it will generate metadata of the image, and the metadata is used to add to the remark information of the image.

In a possible implementation manner, after the camera receives the shooting instruction, it determines the current shooting parameters, obtains a target image after shooting according to the shooting parameters, and uses the shooting parameters and parameters obtained from the actual scene as metadata.

In another possible implementation, when the camera and the camera are started, the preset shooting parameters are determined, and image frames are acquired in real time according to the preset shooting parameters, and the corresponding parameters corresponding to the shooting time of each image frame are used as metadata .

S102, use the free registers existing in the registers storing the metadata to count, and generate the total value of the metadata count;

Among them, the register can be understood as a memory, which is a medium for storing metadata, and there are free registers preset by the user in the medium.

In the embodiment of the present application, when generating the total value of the metadata count, first determine the free register existing in the register storing the metadata, then obtain the current count value in the free register, then obtain the preset increment value, and finally set the current The count value is summed with the preset increment value to generate the total metadata count value.

Preferably, the preset increment value may be 1.

For example, since the metadata is automatically generated by the camera sensor, there is no complicated counting mechanism, and the value jump of the register can be simply controlled, and hardware counting is used. A storage unit in the register is 1 byte, which can control the camera sensor to increase the value of the specified free register once every time a piece of metadata is output, as shown in the logic diagram 2, so that the value of the register will be from 0-255, loop count.

Further, after the total metadata count value is generated, it is also necessary to modify the current count value in the free register to the total metadata count value.

S103, embedding the total value of the metadata count into the metadata to generate target metadata;

In the embodiment of the present application, the image is collected according to the target resolution. Therefore, it is necessary to set the resolution of the image collection device before generating the metadata of the image according to the collected image.

Specifically, when setting the resolution, first, when the resolution setting command is received, the actual resolution of the currently captured image is determined, then the length and width parameters of the input redundant resolution are received, and finally the length and width based on the redundant resolution The parameter resets the actual resolution, generating the target resolution.

In a possible implementation manner, after obtaining the total value of the metadata count, the total value of the metadata count may be embedded into the metadata to obtain the target metadata.

S104, acquiring redundant pixels in the image, and counting based on the redundant pixels, to generate a total image count value;

Usually, for image data, since the pixels within the specified resolution will be used for exposure and imaging, there is no free pixel position for counting. In order to solve this problem, this application changes the image resolution and adds redundant pixels. Hardware counting is performed in the remaining pixels.

In a possible implementation, first obtain any pixel from the redundant pixel row as a count pixel, then obtain the total historical count value of the previous historical image, and finally add the total historical count value and the preset incremental value, And the value after doing the sum is determined as the total image count value of the counted pixels.

For example, as shown in Figure 3, the image on the left in Figure 3 is the image collected at the actual resolution, the image on the right is the image collected at the final resolution through the redundant resolution input by the user, and the image on the right is Black areas are redundant pixels.

Specifically, as shown in FIG. 4, for example, there are redundant pixels (ie, dummy regions) in the image structure of the image acquisition device. In order to obtain redundant pixels, it is necessary to set the resolution of the image acquisition device to one line more than the actual resolution, and use a certain pixel in the extra line for hardware counting, preferably the first pixel.

S105, embedding the total image count value into the image to generate a target image;

S106. Send the target metadata and the target image to the client.

Wherein, the client may be a wearable device, a virtual reality device, an augmented reality device, and a stereo vision device.

In a possible implementation, after obtaining the total value of the image count, embed the total value of the image count into the image to generate the target image, and finally send the target metadata and target image to the client, and use the main chip of the client for processing .

Please refer to FIG. 5 , which provides a schematic flowchart of an image processing method according to the embodiment of the present application. Applied to the client, specifically applied to the main chip of the client, as shown in Figure 5, the method of the embodiment of the present application may include the following steps:

S201, receiving the target metadata and the target image sent by the image acquisition device for the client;

Usually, each time the image acquisition device outputs image data and metadata, the two types of data are counted by hardware and then divided into two paths and uploaded to the main chip of the client. At this time, the target image and target metadata received by the main chip carry the total count value.

S202, analyzing the target metadata and the target image, and generating a total metadata count value and a total image count value;

In a possible implementation manner, after receiving the target metadata and the target image, the main chip of the client extracts the total metadata count value and the total image count value from the target metadata and target image by means of data analysis.

S203. Calculate the first total frame number according to the total value of the metadata count;

In a possible implementation, when calculating the first total frame number according to the total value of the metadata count, first obtain the register value of the metadata corresponding to the previous frame of historical image, and then when the total value of the metadata count is greater than the previous frame For the register value of the metadata corresponding to the historical image, the counting round of the register is determined, and finally the first total frame number is calculated according to the total count value of the metadata and the counting round of the register.

In another possible implementation, when calculating the first total frame number according to the total value of the metadata count, first, when the total value of the metadata count is less than the register value of the metadata corresponding to the previous frame of historical image, determine the value of the register Counting rounds, and then adding one to the counting rounds of the register to obtain the final counting rounds, and finally calculating the first total frame number according to the final counting rounds and the total value of metadata counting.

Usually, Metadata_index indicates the total frame number of the latest metadata, which is initially 0; Round_index indicates the current round of counting, because the value of the register is from 0-256 in each round, initially 0; Pre_reg_index indicates the previous frame The register value of metadata (0-255); Cur_reg_index indicates the register value (0-255) parsed from the currently received metadata.

Specifically, when a frame of metadata data is received, the parsing count register value is Cur_reg_index, if Cur_reg_index is greater than Pre_reg_index, then:

Metadata_index=Round_index*256+Cur_reg_index;

Pre_reg_index=Cur_reg_index, to analyze the next frame.

If Cur_reg_index is less than Pre_reg_index, then:

Round_index=Round_index+1;

Metadata_index=Round_index*256+Cur_reg_index

Pre_reg_index = Cur_reg_index.

S204. Calculate the second total frame number according to the total image count value;

Wherein, the second total frame number can be expressed as Image_index.

In a possible implementation, when calculating the second total frame number according to the total image count value, first obtain the count value of the redundant pixels in the previous frame of historical image, and then when the total image count value is greater than the previous When counting the counting value of counting pixels in redundant pixels in the frame history image, the counting round of counting pixels is determined, and finally the first total frame number is calculated according to the total image counting value and counting rounds of counting pixels.

In another possible implementation, when calculating the second total frame number according to the total image count value, first obtain the count value of the redundant pixels in the previous frame of historical image, and then when the total image count value is less than the above When counting the count value of counting pixels in redundant pixels in a frame of historical image, determine the counting round of counting pixels, and then add one to the counting round of counting pixels to obtain the final counting round, and finally according to the final counting round and image counting The total value is calculated as the second total frame number.

S205. When the first total frame number is the same as the second total frame number, determine that the target metadata is metadata of the target image.

When matching metadata and images, if the corresponding Image_index and Metadata_index are consistent, the metadata and the image are considered to be the same output of the image acquisition device, and finally the metadata is added to the remark information of the image.

The following are device embodiments of the present application, which can be used to implement the method embodiments of the present application. For details not disclosed in the device embodiments of the present application, please refer to the method embodiments of the present application.

Please refer to FIG. 6 , which shows a schematic structural diagram of an image processing apparatus provided by an exemplary embodiment of the present application. The image processing device can be implemented as all or a part of the terminal through software, hardware or a combination of the two. The device 1 includes a metadata generation module 10 , a metadata count total value generation module 20 , a target metadata generation module 30 , an image count total value generation module 40 , a target image generation module 50 , and a data transmission module 60 .

A metadata generation module 10, configured to generate metadata of the image according to the collected image;

The metadata counting total value generation module 20 is used for counting by using the idle registers existing in the metadata storage registers to generate the metadata counting total value;

The target metadata generation module 30 is used to embed the total value of the metadata count into the metadata to generate the target metadata;

Image counting total value generating module 40, for obtaining redundant pixels in the image, and counting based on redundant pixels, generating image counting total value;

A target image generating module 50, configured to embed the image count total value into the image to generate the target image;

The data sending module 60 is configured to send the target metadata and the target image to the client.

It should be noted that, when the image processing device provided in the above embodiment executes the image processing method, the division of the above-mentioned functional modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional modules according to needs. , which divides the internal structure of the device into different functional modules to complete all or part of the functions described above. In addition, the image processing device and the image processing method embodiments provided in the above embodiments belong to the same idea, and the implementation process thereof is detailed in the method embodiments, and will not be repeated here.

The serial numbers of the above embodiments of the present application are for description only, and do not represent the advantages and disadvantages of the embodiments.

The present application also provides a computer-readable medium, on which program instructions are stored, and when the program instructions are executed by a processor, the image processing methods provided in the foregoing method embodiments are implemented.

The present application also provides a computer program product containing instructions, which, when run on a computer, causes the computer to execute the image processing method of each method embodiment above.

Referring to FIG. 7 , it provides a schematic structural diagram of a terminal according to an embodiment of the present application. As shown in FIG. 7 , a terminal 1000 may include: at least one processor 1001 , at least one network interface 1004 , a user interface 1003 , a memory 1005 , and at least one communication bus 1002 .

Wherein, the communication bus 1002 is used to realize connection and communication between these components.

Wherein, the user interface 1003 may include a display screen (Display) and a camera (Camera), and the optional user interface 1003 may also include a standard wired interface and a wireless interface.

Wherein, the network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a WI-FI interface).

Wherein, the processor 1001 may include one or more processing cores. The processor 1001 uses various interfaces and lines to connect various parts of the entire electronic device 1000, and by running or executing instructions, programs, code sets or instruction sets stored in the memory 1005, and calling data stored in the memory 1005, execute Various functions of the electronic device 1000 and processing data. Optionally, the processor 1001 may use at least one of Digital Signal Processing (Digital Signal Processing, DSP), Field-Programmable Gate Array (Field-Programmable Gate Array, FPGA), and Programmable Logic Array (Programmable Logic Array, PLA). implemented in the form of hardware. The processor 1001 may integrate one or a combination of a central processing unit (Central Processing Unit, CPU), an image processor (Graphics Processing Unit, GPU) and a modem. Among them, the CPU mainly handles the operating system, user interface and application programs, etc.; the GPU is used to render and draw the content that needs to be displayed on the display screen; the modem is used to handle wireless communication. It can be understood that the above modem may also not be integrated into the processor 1001, but implemented by a single chip.

Wherein, the memory 1005 may include a random access memory (Random Access Memory, RAM), and may also include a read-only memory (Read-Only Memory). Optionally, the memory 1005 includes a non-transitory computer-readable storage medium (non-transitory computer-readable storage medium). The memory 1005 may be used to store instructions, programs, codes, sets of codes or sets of instructions. The memory 1005 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), Instructions and the like for implementing the above method embodiments; the storage data area can store the data and the like involved in the above method embodiments. Optionally, the memory 1005 may also be at least one storage device located away from the aforementioned processor 1001 . As shown in FIG. 7, the memory 1005 as a computer storage medium may include an operating system, a network communication module, a user interface module, and an image processing application program.

In the terminal 1000 shown in FIG. 7 , the user interface 1003 is mainly used to provide the user with an input interface to obtain the data input by the user; and the processor 1001 can be used to call the image processing application program stored in the memory 1005, and specifically execute Do the following:

generating metadata of the image according to the collected image;

Embed the total image count value into the image to generate the target image;

Send target metadata and target image to client.

In one embodiment, when the processor 1001 executes counting by utilizing free registers existing in the registers storing metadata to generate the total value of the metadata count, the following operations are specifically performed:

determining the presence of free registers among registers storing metadata;

Get the current count value in the free register;

Get the preset incremental value;

In one embodiment, the processor 1001 also performs the following operations:

In one embodiment, before the processor 1001 executes generating the metadata of the image according to the collected image, it further executes the following operations:

Receive input length and width parameters of redundant resolution;

In one embodiment, when the processor 1001 performs counting based on redundant pixels to generate the total image count value, it specifically performs the following operations:

Obtain any pixel from the redundant pixel row as a count pixel;

Get the total value of the history count of the previous history image;

Summing the total historical count value and the preset incremental value, and determining the summed value as the total image count value of the counted pixels.

Various embodiments in this specification are described in a parallel or progressive manner, each embodiment focuses on the differences from other embodiments, and the same or similar parts of the various embodiments can be referred to each other. As for the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and for related details, please refer to the description of the method part.

Those of ordinary skill in the art can also understand that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the relationship between hardware and software Interchangeability. In the above description, the composition and steps of each example have been generally described according to their functions. Whether these functions are executed by hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art may use different methods to implement the described functions for each specific application, but such implementation should not be regarded as exceeding the scope of the present application.

The steps of the methods or algorithms described in connection with the embodiments disclosed herein may be directly implemented by hardware, software modules executed by a processor, or a combination of both. Software modules can be placed in random access memory (RAM), internal memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, removable disk, CD-ROM, or any other Any other known storage medium.

It should also be noted that in this article, relational terms such as first and second etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that these entities or operations Any such actual relationship or order exists between. Furthermore, the term "comprises", "comprises" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article, or apparatus comprising a set of elements includes not only those elements, but also includes elements not expressly listed. other elements of or also include elements inherent in such a process, method, article, or device. Without further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article or apparatus comprising said element.

Claims

An image processing method applied to an image acquisition device, characterized in that the method comprises:

generating metadata of the image according to the collected image;

Counting by using free registers existing in the registers storing the metadata to generate a total value of the metadata count;

Embedding the total value of the metadata count into the metadata to generate target metadata;

Obtaining redundant pixels in the image, and counting based on the redundant pixels, to generate a total image count value;

Embedding the image count total value into the image to generate a target image;

sending the target metadata and the target image to a client.
The method according to claim 1, wherein the counting is performed by using an idle register existing in the register storing the metadata to generate a total value of the metadata count, comprising:

determining a free register present among the registers storing the metadata;

obtaining the current count value in the free register;

Get the preset incremental value;

Adding the current count value and the preset increment value to generate a total metadata count value.
The method according to claim 2, further comprising:

Modifying the current count value in the free register to the total metadata count value.
The method according to claim 1, wherein the image is collected according to the target resolution;

Before generating the metadata of the image according to the collected image, it also includes:

When receiving the resolution setting instruction, determine the actual resolution of the currently collected image;

Receive input length and width parameters of redundant resolution;

The actual resolution is reset based on the length and width parameters of the redundant resolution to generate a target resolution.
The method according to claim 4, wherein said counting based on said redundant pixels to generate a total image count value comprises:

obtaining any pixel from the redundant pixel row as a count pixel;

Get the total value of the history count of the previous history image;

summing the total historical count value and a preset incremental value, and determining the summed value as the total image count value of the counted pixels.
An image processing method applied to a client, characterized in that the method comprises:

receiving the target metadata and the target image sent by the image acquisition device for the client;

Analyzing the target metadata and the target image to generate a total metadata count value and a total image count value;

calculating a first total frame sequence number according to the total value of the metadata count;

calculating a second total frame number according to the total image count value;

When the first total frame number is the same as the second total frame number, it is determined that the target metadata is metadata of the target image.
The method according to claim 6, wherein the calculating the first total frame sequence number according to the total count value of the metadata comprises:

Get the register value of the last frame of historical image;

When the total count value of the metadata is greater than the register value of the last frame of historical image, determine the count round of the register;

calculating a first total frame number according to the total count value of the metadata and the count round of the register;

or,

When the total count value of the metadata is less than the register value of the last frame of historical image, determine the count round of the register;

Adding one to the counting round of the register to obtain the final counting round;

A first total frame number is calculated according to the final counting round and the total metadata count value.
An image processing device applied to image acquisition equipment, characterized in that the device includes:

A metadata generating module, configured to generate metadata of the image according to the collected image;

A metadata counting total value generating module, configured to use the free registers existing in the registers storing the metadata to perform counting to generate the metadata counting total value;

A target metadata generating module, configured to embed the total value of the metadata count into the metadata to generate target metadata;

An image counting total value generating module, configured to acquire redundant pixels in the image, and perform counting based on the redundant pixels to generate an image counting total value;

A target image generating module, configured to embed the total image count value into the image to generate a target image;

A data sending module, configured to send the target metadata and the target image to the client.
A computer storage medium, characterized in that the computer storage medium stores a plurality of instructions, and the instructions are suitable for being loaded by a processor and executing the method steps according to any one of claims 1-7.
A terminal, characterized by comprising: a processor and a memory; wherein, the memory stores a computer program, and the computer program is adapted to be loaded by the processor and execute the method according to any one of claims 1-7 step.