TW201939346A - Method, apparatus, and device for recognizing bar code - Google Patents

Abstract

Provided in an embodiment of the present description are a method, apparatus, and device for recognizing a bar code, the method comprising: acquiring an original bar code image; using an image processor to perform an image pre-processing operation on the original bar code image according to a pre-processing instruction so as to obtain a pre-processed bar code image; recognizing a target code value of the pre-processed bar code image.

Description

Method, device and equipment for identifying bar code

The embodiments of the present specification relate to the field of information processing technology, and in particular, to a method, a device, and a device for identifying a barcode.

With the digital development of information, barcodes such as barcodes and two-dimensional barcodes are widely used in life, providing convenience for our lives. For example, in the process of settlement of goods, the merchant settlement system can quickly determine the name and price of the goods by scanning the barcode of the goods. In the payment process, the payment application of the mobile device can be used to scan the two-dimensional barcode provided by the merchant to make payment to the merchant. In the use of public facilities, scanning the two-dimensional bar code corresponding to public facilities through the application software of mobile devices can realize the borrowing, leasing, and return of public facilities.
FIG. 1 is a schematic diagram of identifying a bar code using each component of a conventional device. Referring to FIG. 1, at present, when an application software with a barcode recognition function recognizes a barcode, it usually uses a camera device to obtain a barcode picture. Since the obtained two-dimensional barcode picture is affected by light, fading, etc., the application software must The barcode image is pre-processed, and then the pre-processed barcode image is identified. Because the data of the obtained barcode image is usually relatively large, for example, when the input size of the image is 1024 pixels * 800 pixels, the number of pixels of the image is about 100,000, so the calculation amount of image preprocessing is usually large. Because the operation of application software is realized by the central processing unit (CPU) of the device, and the interactive operations of the user equipment system, such as the switching of application pages, the monitoring of system status, and the sending and receiving operations of application broadcasting, etc. It also needs to rely on the CPU of the device to implement it. The aforementioned image preprocessing will cause resource competition, affect the efficiency of image preprocessing, and reduce the rate of device barcode recognition. Therefore, there is a need to provide a faster method for identifying barcodes.

The purpose of the embodiments of the present specification is to provide a method, a device, and a device for identifying a barcode, which can increase the rate at which the device recognizes the barcode.
The embodiment of this specification is implemented as follows:
A method for identifying a barcode, including:
Get the original barcode picture;
Using an image processor to perform image preprocessing on the original barcode image according to a preprocessing instruction to obtain a preprocessed barcode image;
Identifying a target code value of the pre-processed barcode picture.
A device for identifying a barcode includes: a memory and a processor; the processor includes a central processing unit and an image processor; the memory stores computer program instructions executed by the processor, and the computer program instructions can be executed by the memory Implement the following steps:
The central processor obtains an original barcode picture;
Performing an image preprocessing operation on the original barcode image by the image processor according to a preprocessing instruction to obtain a preprocessed barcode image;
The central processor identifies a target code value of the pre-processed barcode picture.
A device for identifying a barcode, comprising: an original picture acquisition module, a preprocessing module, and a code value determination module;
The original picture obtaining module is used to obtain an original barcode picture;
The preprocessing module is configured to perform image preprocessing on the original barcode image according to the preprocessing instruction to obtain a preprocessed barcode image;
The code value determination module is configured to identify a target code value of the pre-processed barcode picture.
As can be seen from the above, in one or more embodiments of the present specification, the preprocessing operation of the original barcode image is implemented by an image processor. Since the image processor processes the image data faster, the preprocessing speed of the barcode image can be improved. At the same time, using the image processor to preprocess the original barcode image can reduce the CPU resources occupied by the image preprocessing operation and improve the CPU's efficiency in identifying the preprocessed barcode image. Therefore, the embodiments provided in this specification can improve the rate of identifying barcodes.

The embodiments of the present specification provide a method, a device, and a device for identifying a barcode.
In order to enable those skilled in the art to better understand the technical solutions in the present specification, the technical solutions in the embodiments of the present specification will be clearly and completely described with reference to the accompanying drawings in the embodiments of the present specification. Obviously, the described The examples are only a part of examples of this specification, but not all examples. Based on the embodiments in this specification, all other embodiments obtained by those with ordinary knowledge in the art without making progressive labor should fall within the scope of protection of this specification.
Application software such as Alipay can realize the functions of receiving money, paying, adding friends, etc. by scanning the two-dimensional barcode. In the process of identifying barcodes by scanning these application software, it is usually necessary to first perform image preprocessing on the original barcode pictures obtained by the camera device, and then identify the pre-processed barcode pictures. In one aspect, the existing application software on the mobile device needs to use a CPU to perform the preprocessing and identification processes. However, multiple application software is usually installed on the mobile device, and the operation of multiple application software also depends on the It is implemented by the device's CPU. Therefore, it will compete with the aforementioned image preprocessing operations for resources. The application of scanning and identifying barcodes cannot fully utilize the computing resources of the device, which will affect the efficiency of image preprocessing. In another aspect, because the data of the barcode image obtained by the camera device is usually relatively large, when using the CPU for image preprocessing, a larger amount of calculation requires more time for the CPU, which also reduces the rate at which the device recognizes the barcode. . Based on this, in the embodiment of the present specification, the pre-processing operation of the barcode image can be realized by using a graphics processing chip. One aspect can improve the processing speed of image pre-processing, and the other aspect can reduce the CPU resources of the image pre-processing operation. Occupation improves the efficiency of the CPU to recognize the pre-processed bar code pictures, which can increase the rate of bar code recognition by the device.
The following describes a specific embodiment of a method for identifying a barcode in this specification. FIG. 2 is a schematic diagram of identifying a bar code using each component of the device provided in this specification. FIG. 3 is a schematic flowchart of an embodiment of a method for identifying a bar code provided in this specification. This specification provides method operation steps as described in the embodiment or the flowchart. However, conventional or non-progressive labor may include more or Fewer steps. The sequence of steps listed in the embodiments is only one way of executing the steps, and does not represent the only sequence of execution. When an actual system or device product is executed, it may be executed sequentially or in parallel according to the method shown in the embodiment or the accompanying drawings (for example, a parallel processor or a multi-threaded processing environment). With specific reference to FIG. 2 and FIG. 3, the method may include the following steps.
S302: Obtain the original barcode image.
The device used to identify the barcode can get the original barcode picture. Specifically, the original barcode picture can be captured by using the imaging device of the device.
The original barcode picture may include: a barcode picture or a two-dimensional barcode picture.
S304: Use an image processor to perform image preprocessing operations on the original barcode image according to a preprocessing instruction to obtain a preprocessed barcode image.
An image processor may be used to perform an image pre-processing operation on the original barcode picture according to a pre-processing instruction.
The image processor may represent a device that is good at processing image data. Specifically, the image processor may include: a graphics processing unit (GPU), a digital signal processing (DSP) chip, and / or an image signal processing (ISP) chip.
The graphics processor is usually a microprocessor that performs image computing work on the device, and can be used to undertake the task of outputting and displaying graphics.
The digital signal processor is a processor composed of a large-scale or ultra-large-scale integrated circuit chip to complete a digital signal processing task.
The image information processing chip is an image processing engine, which can process image signals at high speed.
The image pre-processing operation may be processing performed before performing code value recognition on the original barcode picture.
In the actual process of obtaining a barcode image, due to excessively bright or dark light, uneven lighting, etc., all or part of the obtained barcode image may appear white due to overexposure, or appear dark due to insufficient light. The contrast of the bar code picture is low, and the code value of the bar code picture cannot be identified quickly and accurately. Through the image preprocessing operation, the detectability of the barcode picture can be enhanced, thereby improving the reliability of code value recognition.
In one embodiment, the image pre-processing operation may include: average brightness statistics and binarization processing.
The brightness distribution of the original picture may be determined through the brightness statistics operation. According to a result of the average brightness statistical operation, a binary process may be further performed on the original barcode picture. For example, one or more critical values may be determined according to a result of the average luminance statistical operation, and the original picture may be binarized according to the critical values.
The preprocessing instruction may be a computer instruction compiled by a coded language used to implement the preprocessing operation. The pre-processing instruction may be a computer instruction of a machine language executable by the image processor.
In one embodiment, if the device for identifying a barcode uses an Android operating system, the coded language for implementing the preprocessing operation may use a Renderscript programming language.
In another embodiment, if the device for identifying a barcode uses an iOS operating system, the coded language for implementing the preprocessing operation may use an OpenCL programming language.
Because the image processor usually processes image data faster, using the image processor can improve the processing speed of the original bar code picture preprocessing.
S306: Identify a target code value of the pre-processed barcode picture.
The device for identifying a barcode may identify a target code value of the pre-processed barcode picture. Since the pre-processed bar code picture is highly detectable, the target code value of the pre-processed bar code picture can be quickly identified.
In the embodiment provided in this specification, the preprocessing operation of the original barcode image is implemented by an image processor. Since the image processor processes the image data faster, the preprocessing speed of the barcode image can be improved. At the same time, using the image processor to preprocess the original barcode image can reduce the CPU resources occupied by the image preprocessing operation and improve the CPU's efficiency in identifying the preprocessed barcode image. Therefore, the embodiments provided in this specification can improve the rate of identifying barcodes.
The method embodiments provided in the embodiments of the present invention may be executed in a mobile terminal, a computer terminal, a server, or a similar computing device. Taking a mobile terminal as an example, FIG. 2 is a block diagram of a hardware structure of a mobile terminal in the embodiment of the present specification. As shown in FIG. 2, the mobile terminal may include at least two (only two are shown in the figure) a processor 102, a memory 104 for storing data, and a transmission module 106 for a communication function.
The processor 102 may include at least one central processing unit (CPU) and at least one graphics processing unit (Graphics Processing Unit, GPU). Of course, the processor 102 may also include other single chips with logic processing capabilities, logic gate circuits, integrated circuits, etc., or an appropriate combination thereof.
The memory 104 may be used to store software programs and modules of application software, such as program instructions / modules corresponding to the search method in the embodiment of the present invention. The central processing unit 102 runs the software programs stored in the memory 104 and Module to perform various functional applications and data processing, that is, to implement the method for identifying a barcode in the above embodiment. The memory 104 may include high-speed random memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include memory remotely disposed with respect to the processor 102, and these remote memories may be connected to the page display device through a network. Examples of the above network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof. When it is implemented, the memory may also be implemented in a cloud memory manner. The specific implementation manner is not limited in this specification.
The transmission module 106 can be used to receive or send data via a network. The above specific examples of the network may include a wireless network provided by a communication provider of the page display device. In one example, the transmission module 106 includes a network interface controller (NIC), which can be connected to other network devices through a base station to communicate with the Internet. In one example, the transmission module 106 may be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.
Those skilled in the art can understand that the structure shown in FIG. 4 is only for illustration, and it does not limit the structure of the mobile terminal. For example, the mobile terminal may further include more or fewer components than those shown in FIG. 4, such as a Digital Signal Processing (DSP) chip, an Image Signal Processing (ISP) chip, and the like. Or it has a different configuration from that shown in FIG. 4.
Based on the above-mentioned method for identifying a barcode, this specification also provides a device. The device may include a system (including a decentralized system), software (application), a module, a component, a device, and the like that use the method described in the embodiments of the present specification, and a device device that implements necessary implementation hardware. Based on the same innovative concept, the device provided in this specification is described in the following embodiments. Since the implementation scheme and method for solving the problem with the method are similar, the specific implementation of the device in the embodiments of this specification may refer to the implementation of the foregoing method, and the duplicated details are not described again. Although the devices described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware is also possible and conceived.
FIG. 5 is a schematic diagram of a module structure of an embodiment of a device for identifying a barcode provided in this specification. As shown in FIG. 5, the device for identifying a barcode may include: an original picture acquisition module 502, a pre-processing module 504, and a code value determination module 506.
The original picture obtaining module 502 may be used to obtain an original barcode picture.
The pre-processing module 504 may be configured to perform image pre-processing on the original barcode image according to the pre-processing instruction to obtain a pre-processed barcode image. The image pre-processing operation may include: average brightness statistics and binarization processing.
In one embodiment, the pre-processing module is implemented by an image processor. The preprocessing instruction is a computer instruction of a machine language executable by the image processor. The preprocessing instruction may be a computer instruction compiled by a coded language used to implement the preprocessing operation.
In one embodiment, the image processor may include a graphics processor, a digital signal processing chip, and / or an image signal processing chip.
The code value determination module 506 may be used to identify a target code value of the pre-processed barcode picture.
The above method or device for identifying a barcode provided by the embodiments of this specification can be implemented by a processor executing corresponding program instructions in a computer, for example, using android and iOS system programming languages in smart terminals, and quantum computer based processing logic. Wait.
Specifically, another aspect of the present specification also provides a device for identifying a barcode, including a processor and a memory. The processor includes a central processing unit and an image processor. The memory stores computer program instructions executed by the processor, and executing the computer program instructions can implement the following steps: the central processor obtains the original barcode picture; and the image processor executes the preprocessing instruction on the original An image pre-processing operation is performed on the bar code picture to obtain a pre-processed bar code picture; the central processor identifies a target code value of the pre-processed bar code picture.
In one embodiment, the preprocessing instruction may be a computer instruction compiled by a coded language for implementing the preprocessing operation. If the device for identifying a barcode uses an Android operating system, the coding language used to implement the preprocessing operation may use a Renderscript programming language. If the device for identifying a barcode uses an iOS operating system, the coded language used to implement the preprocessing operation may use an OpenCL programming language.
It can be seen that the embodiments of the device and equipment for identifying barcodes provided in this specification and the method embodiments in this specification are based on the same innovative concept. Therefore, the embodiments of the devices and equipment for identifying barcodes provided in this specification can be implemented in the specification. Technical effects of method embodiments.
The specific embodiments of the present specification have been described above. Other embodiments are within the scope of the appended patent applications. In some cases, the actions or steps described in the scope of the patent application may be performed in a different order than in the embodiments and still achieve the desired result. In addition, the processes depicted in the figures do not necessarily require the particular order shown or sequential order to achieve the desired results. In certain embodiments, multi-tasking and parallel processing are also possible or may be advantageous.
In the 1990s, for a technical improvement, it can be clearly distinguished whether it is an improvement in hardware (for example, the improvement of circuit structures such as diodes, transistors, switches, etc.) or an improvement in software (for method and process Improve). However, with the development of technology, the improvement of many methods and processes can be regarded as a direct improvement of the hardware circuit structure. Designers almost always get the corresponding hardware circuit structure by programming the improved method flow into the hardware circuit. Therefore, it cannot be said that the improvement of a method flow cannot be realized by a hardware entity module. For example, a programmable logic device (Programmable Logic Device, PLD) (such as a Field Programmable Gate Array (FPGA)) is such an integrated circuit whose logic function is determined by the user programming the device. It is programmed by the designer to "integrate" a digital system on a PLD, without having to ask a chip manufacturer to design and produce a dedicated integrated circuit chip. Moreover, nowadays, instead of making integrated circuit chips by hand, this programming is mostly implemented using "logic compiler" software, which is similar to the software compiler used in program development and writing, and requires compilation. The previous source code must also be written in a specific programming language. This is called the Hardware Description Language (HDL). HDL is not only one, but there are many types, such as ABEL (Advanced Boolean Expression Language), AHDL (Altera Hardware Description Language), Confluence, CUPL (Cornell University Programming Language), HDCal, JHDL (Java Hardware Description Language), Lava, Lola, MyHDL, PALASM, RHDL (Ruby Hardware Description Language), etc. VHDL (Very-High-Speed Integrated Circuit Hardware Description Language) and Verilog are commonly used. Those with ordinary knowledge in the field should also be clear, as long as the method flow is slightly logically programmed with the above-mentioned several hardware description languages and programmed into the integrated circuit, the hardware circuit that implements the logic method flow can be easily obtained. .
The controller may be implemented in any suitable manner, for example, the controller may take the form of a microprocessor or processor and a computer-readable storage of computer-readable code (such as software or firmware) executable by the (micro) processor. Media, logic gates, switches, application specific integrated circuits (ASICs), programmable logic controllers, and embedded microcontrollers. Examples of controllers include, but are not limited to, the following microcontrollers: ARC 625D, Atmel AT91SAM, Microchip PIC18F26K20 and Silicone Labs C8051F320, the memory controller can also be implemented as part of the control logic of the memory. Those with ordinary knowledge in the field also know that, in addition to implementing the controller in a purely computer-readable code manner, it is entirely possible to program the method steps to logically make the controller with logic gates, switches, special application integrated circuits, programmable Logic controller and embedded microcontroller to achieve the same function. Therefore, the controller can be considered as a hardware component, and the device included in the controller for implementing various functions can also be considered as a structure in the hardware component. Or even, a device for implementing various functions can be regarded as a structure that can be both a software module implementing the method and a hardware component.
The devices, modules, or units described in the foregoing embodiments may be specifically implemented by computer chips or entities, or by products with certain functions. A typical implementation is a computer. Specifically, the computer may be, for example, a personal computer, a laptop, a mobile phone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or A combination of any of these devices.
For the convenience of description, when describing the above device, the functions are divided into various units and described separately. Of course, when implementing this specification, the functions of each unit may be implemented in the same software or multiple software and / or hardware.
Those having ordinary knowledge in the art should understand that the embodiments of the present invention may be provided as a method, a device, or a computer program product. Therefore, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk memory, CD-ROM, optical memory, etc.) containing computer-usable code therein. .
The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (devices), and computer program products according to embodiments of the present invention. It should be understood that each flow and / or block in the flowchart and / or block diagram, and a combination of the flow and / or block in the flowchart and / or block diagram can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing device to generate a machine, so that instructions generated by the processor of the computer or other programmable data processing device can be used A device for realizing the functions specified in one or more flowcharts and / or one or more blocks of the block diagram.
These computer program instructions may also be stored in computer readable memory that can guide a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory generate a manufactured article including a command device, The instruction device implements a function specified in a flowchart or a plurality of processes and / or a block or a block of a block diagram.
These computer program instructions can also be loaded on a computer or other programmable data processing equipment, so that a series of operating steps can be performed on the computer or other programmable equipment to generate computer-implemented processing, which can be executed on the computer or other programmable equipment. The instructions provide steps for implementing the functions specified in one or more flowcharts and / or one or more blocks of the block diagram.
In a typical configuration, a computer device includes one or more processors, an input / output interface, a network interface, and internal memory.
Internal memory may include non-permanent memory in computer-readable media, random access memory (RAM) and / or volatile internal memory, non-volatile memory, and other forms, such as read-only memory (ROM) or Flash RAM. Internal memory is an example of a computer-readable medium.
Computer-readable media includes permanent and non-permanent, removable and non-removable media. Information can be stored by any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), and other types of random access memory (RAM) , Read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other internal memory technology, read-only disc read-only memory (CD-ROM), digital multifunction Optical discs (DVDs) or other optical storage, magnetic tape cartridges, magnetic tape cartridge storage, graphene storage or other magnetic storage devices, or any other non-transmission media can be used to store information that can be accessed by computer equipment. According to the definition in this article, computer-readable media does not include temporary computer-readable media (transitory media), such as modulated data signals and carrier waves.
It should also be noted that the terms "including,""including," or any other variation thereof are intended to encompass non-exclusive inclusion, so that a process, method, product, or device that includes a range of elements includes not only those elements, but also Other elements not explicitly listed, or those that are inherent to such a process, method, product, or device. Without more restrictions, the elements defined by the sentence "including a ..." do not exclude the existence of other identical elements in the process, method, product or equipment including the elements.
Those having ordinary knowledge in the art should understand that the embodiments of the present specification may be provided as a method, a device, or a computer program product. Therefore, this specification may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Moreover, this manual may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memory, CD-ROM, optical memory, etc.) containing computer-usable code. .
This manual may be described in the general context of computer-executable instructions executed by a computer, such as program modules. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform specific tasks or implement specific abstract data types. This specification can also be practiced in distributed computing environments in which tasks are performed by remote processing devices connected through a communication network. In a decentralized computing environment, program modules can be located in local and remote computer storage media, including storage devices.
Each embodiment in this specification is described in a sequential manner, and the same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments. In particular, for the device and server embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the description of the method embodiments.
The above descriptions are merely examples of the present specification and are not intended to limit the present specification. For those having ordinary knowledge in the art, this specification may have various modifications and changes. Any modification, equivalent replacement, or improvement made within the spirit and principle of this specification shall be included in the scope of patent application.

S302‧‧‧step

S304‧‧‧step

S306‧‧‧step

102‧‧‧ processor

104‧‧‧Memory

106‧‧‧Transmission Module

502‧‧‧Original picture acquisition module

504‧‧‧Pretreatment module

506‧‧‧Code value determination module

In order to more clearly explain one or more embodiments of the present specification or the technical solutions in the prior art, the drawings used in the embodiments or prior art descriptions will be briefly introduced below. Obviously, the appended description The drawings are just some of the embodiments described in this specification. For those with ordinary knowledge in the art, other drawings can be obtained based on these drawings without paying progressive labor.

FIG. 1 is a schematic diagram of identifying a barcode using each component of a conventional device;

FIG. 2 is a schematic diagram of identifying a barcode using each component of the device provided in this specification; FIG.

FIG. 3 is a schematic flowchart of an embodiment of a method for identifying a barcode provided in this specification; FIG.

4 is a block diagram of a hardware structure of a mobile terminal according to an embodiment of the present specification;

FIG. 5 is a schematic diagram of a module structure of an embodiment of a device for identifying a barcode provided in this specification.

Claims (10)

A method for identifying a barcode, including: Get the original barcode picture; Using an image processor to perform image preprocessing on the original barcode image according to a preprocessing instruction to obtain a preprocessed barcode image; Identifying a target code value of the pre-processed barcode picture. The method according to claim 1, wherein the image preprocessing operation includes: an average brightness statistics operation and a binarization processing operation. The method according to claim 1, wherein the preprocessing instruction is a computer instruction compiled by a coded language for implementing the preprocessing operation. The method according to claim 3, wherein the preprocessing coded language comprises: a coded language for implementing the image preprocessing operation. The method according to claim 3, wherein the coded language for implementing the preprocessing operation uses a Renderscript programming language or an OpenCL programming language. The method according to claim 1, wherein the image processor comprises: a graphics processor, a digital signal processing chip, and / or an image signal processing chip. A device for identifying a barcode includes: a memory and a processor; the processor includes a central processing unit and an image processor; the memory stores computer program instructions executed by the processor, and the computer program instructions can be executed by the memory Implement the following steps: The central processor obtains an original barcode picture; Performing an image preprocessing operation on the original barcode image by the image processor according to a preprocessing instruction to obtain a preprocessed barcode image; The central processor identifies a target code value of the pre-processed barcode picture. The device according to claim 7, wherein the image processor includes a graphics processor, a digital signal processing chip, and / or an image signal processing chip. A device for identifying a barcode, comprising: an original picture acquisition module, a preprocessing module, and a code value determination module; The original picture obtaining module is used to obtain an original barcode picture; The preprocessing module is configured to perform image preprocessing on the original barcode image according to the preprocessing instruction to obtain a preprocessed barcode image; The code value determining module is configured to identify a target code value of the pre-processed barcode picture. According to the device of claim 9, the pre-processing module is implemented by an image processor; the image processor includes a graphics processor, a digital signal processing chip, and / or an image signal processing chip.