Data processing computer algorithm operating system

Abstract

The invention relates to a data processing computer algorithm operating system which comprises a content analysis device used for analyzing the signal-to-noise ratio of a target image block where a nearest POS machine is located and outputting the signal-to-noise ratio as a reference signal-to-noise ratio; and the dynamic encoding device is used for determining the size of an encoding block selected for performing intra-frame encoding on the card swiping scene picture based on the received reference signal-to-noise ratio. According to the invention, in a data processing computer algorithm operating system with a customized structure, the visual information of the nearest POS machine can be acquired according to the picture sequence of the card swiping scene acquired by real-time picture acquisition of the card swiping scene of the target POS machine providing the financial payment operating platform; and the size of a corresponding coding block selected for executing intra-frame coding on the whole card swiping scene picture is customized based on the collected visual information, so that the coding quality is ensured, and the coding operation amount is reduced as much as possible.

Description

Technical Field

[0001] The present invention relates to the field of computer systems, and in particular to a data processing computer algorithm operating system. Background Art

[0002] A computer system can be a multi-machine system with distributed functions. In addition to a high-speed central processing unit, it also has an input and output processor (or front-end user machine) for managing input and output, a communication control processor for managing remote terminals and network communications, a maintenance diagnosis machine for full system maintenance and diagnosis, and a database processor for database management. This is a low-level form of a distributed system. Multiple geographically distributed computer systems are interconnected through communication lines and network protocols to form a computer network. It is divided into local (local) computer networks and remote computer networks according to the geographical distance. Computers on the network can share information resources and software and hardware resources with each other. Ticket booking systems and information retrieval systems are examples of computer network applications. The technologies involved in computer data processing are as follows: CN119166595A discloses a computer data analysis management system based on big data, which belongs to the field of data analysis technology. The system of the present invention includes a database, a data acquisition module, a data analysis module, a real-time file classification storage module, a file cleaning suggestion module and a user management module; the database stores all file information and user behavior data; the data acquisition module extracts the file saving information and deletion records from the database and performs corresponding processing; the data analysis module analyzes the file information and deletion records, extracts the target file, and calculates the feature vector and user attention; the real-time file classification storage module classifies and stores the real-time files according to the user attention, and dynamically calculates the user attention; the file cleaning suggestion module analyzes the file list and suggests cleaning operations; the user management module receives notification information, performs file management and feeds back the results to the file cleaning suggestion module.

[0003] CN119167364A discloses a method and system for enhancing computer data security. The method comprises the following steps: using a computer terminal device to perform dynamic security environment assessment processing to generate dynamic security environment assessment data; using the dynamic security environment assessment data to perform execution cycle feature analysis on the application program to generate multimodal program execution feature data; performing dynamic privacy data flow tracking according to the multimodal program execution feature data to generate dynamic privacy data flow path data; constructing a trusted execution environment according to the dynamic privacy data flow path data to generate a privacy trusted execution environment; using a privacy trusted execution ring to perform dynamic security access processing to obtain a security data access strategy; performing security situation awareness processing based on the security data access strategy to obtain adaptive security control data.

[0004] CN119167447A discloses a computer interface security device for preventing computer data from being stolen, comprising a computer housing, a side wall of the computer housing having a plurality of mounting slots, an electric telescopic rod fixedly connected to the bottom side wall of each mounting slot, a movable plate fixedly connected to the output end of the electric telescopic rod, the movable plate slidably connected in the mounting slot, a data interface fixedly connected to the side wall of the movable plate, four pressure sensors respectively installed on the surrounding side walls of the movable plate, and a temperature sensor and a humidity sensor installed on the side wall of the data interface. The present invention not only designs a telescopic hidden data interface to prevent the data interface from being exposed to the outside and being connected to the computer through the interface by outsiders, and then stealing data, but also sets a damage risk assessment coefficient FX, when the data interface is at risk of damage, the data interface can be actively retracted in time to avoid damage to the data interface. Summary of the invention

[0005] In order to solve the technical problems in the prior art, the present invention provides a data processing computer algorithm operating system, which can perform grayscale transformation enhancement actions, histogram correction actions and guided filtering actions in sequence on the card swiping scene pictures obtained by real-time picture acquisition of the card swiping scene of the target POS machine providing a financial payment operation platform in a customized data processing computer algorithm operating system, so as to obtain a sequentially enhanced picture with better image quality, thereby ensuring the reliability and effectiveness of subsequent target POS machine analysis, and based on the appearance imaging feature detection of the POS machine, one or more image blocks where more than one POS machine is located in the sequentially enhanced picture, and the pixel points occupied by the POS machine are divided into the image blocks. The image block with the largest amount of information is output as the target image block where the target POS machine is located. The signal-to-noise ratio of the target image block occupied by the target POS is also analyzed as a reference signal-to-noise ratio. The size of the coding block selected for performing intra-frame coding on the entire card swiping scene screen is determined based on the reference signal-to-noise ratio. The size of the coding block selected for performing intra-frame coding on the entire card swiping scene screen is positively correlated with the received reference signal-to-noise ratio, so that the intra-frame coding operation of a larger coding block is performed on the entire picture with better imaging quality of key objects in the picture, thereby realizing dynamic intra-frame coding processing according to the imaging quality of key objects in the picture, while ensuring the encoding quality and reducing the encoding calculation amount as much as possible.

[0006] According to the present invention, there is provided a data processing computer algorithm operating system, the system comprising: A data storage mechanism, used for storing data on a card swiping scene image obtained by performing real-time image acquisition on a card swiping scene of a target POS machine providing a financial payment operation platform; A sequential enhancement mechanism, connected to the data storage mechanism, is used to sequentially perform grayscale transformation enhancement actions, histogram correction actions, and guided filtering actions on the received card swiping scene images to obtain and output corresponding sequential enhancement images; A feature detection mechanism connected to the sequential enhancement mechanism is used to detect one or more image blocks where one or more POS machines are located in the received sequential enhancement picture based on the appearance imaging features of the POS machine, and output the image block with the largest number of pixels as the target image block where the target POS machine is located; A content analysis device, connected to the feature detection mechanism, for analyzing the signal-to-noise ratio of the received target image block to output as a reference signal-to-noise ratio; A dynamic encoding device, connected to the content analysis device, for determining the size of the encoding block selected for performing intra-frame encoding on the card swiping scene picture based on the received reference signal-to-noise ratio; The received reference signal-to-noise ratio determines the size of the coding block selected for performing intra-frame coding on the card swiping scene picture, including: the determined size of the coding block selected for performing intra-frame coding on the card swiping scene picture is positively correlated with the received reference signal-to-noise ratio; The determining that the size of the coding block selected for performing intra-frame coding on the card swiping scene picture is positively correlated with the received reference signal-to-noise ratio includes: using a numerical mapping function to represent the numerical mapping relationship of the positive correlation between the size of the coding block selected for performing intra-frame coding on the card swiping scene picture and the received reference signal-to-noise ratio; Wherein, the sequential enhancement mechanism is connected to the data storage mechanism and is used to sequentially perform grayscale transformation enhancement action, histogram correction action and guided filtering action on the received card swiping scene picture to obtain and output the corresponding sequential enhancement picture, including: the sequential enhancement mechanism includes a front-end enhancement component, a mid-end enhancement component and a terminal enhancement component, and the mid-end enhancement component is respectively connected to the front-end enhancement component and the terminal enhancement component; Among them, the sequential enhancement mechanism is connected to the data storage mechanism, and is used to sequentially perform grayscale transformation enhancement actions, histogram correction actions and guided filtering actions on the received card swiping scene images to obtain and output the corresponding sequential enhanced images. It also includes: the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component respectively perform grayscale transformation enhancement actions, histogram correction actions and guided filtering actions on the received image signals.

[0007] Therefore, the present invention has at least the following three important invention points: Important invention point 1: In a customized data processing computer algorithm operating system, a grayscale transformation enhancement action, a histogram correction action, and a guided filtering action are sequentially performed on the card swiping scene pictures obtained by performing real-time picture acquisition of the card swiping scene of the target POS machine providing a financial payment operation platform, so as to obtain a sequentially enhanced picture with better picture quality, thereby ensuring the reliability and effectiveness of subsequent target POS machine analysis; Important invention point 2: based on the appearance imaging feature detection of the POS machine, one or more image blocks where one or more POS machines are located in the picture are sequentially enhanced, and the image block with the largest number of pixels is output as the target image block where the target POS machine is located; The third important invention point: Analyze the signal-to-noise ratio of the target image block occupied by the target POS as a reference signal-to-noise ratio, and determine the size of the coding block selected for performing intra-frame coding on the entire card swiping scene screen based on the reference signal-to-noise ratio, wherein the size of the coding block selected for performing intra-frame coding on the entire card swiping scene screen is positively correlated with the received reference signal-to-noise ratio, thereby performing intra-frame coding operations of larger coding blocks on the entire screen with better imaging quality of key objects in the screen, thereby realizing dynamic intra-frame coding processing according to the imaging quality of key objects in the screen, while ensuring the encoding quality, reducing the encoding calculation amount as much as possible. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] The embodiments of the present invention will be described below with reference to the accompanying drawings, wherein:

[0009] Figure 1 Schematic diagram of the internal structure of a data processing computer algorithm operating system according to Embodiment A of the present invention.

[0010] Figure 2 Schematic diagram of the internal structure of a data processing computer algorithm operating system according to Embodiment B of the present invention.

[0011] Figure 3 Schematic diagram of the internal structure of a data processing computer algorithm operating system according to Embodiment C of the present invention. DETAILED DESCRIPTION

[0012] In the prior art, computer systems are often used to perform real-time image capture of card swiping scenes of POS machines to obtain card swiping scene images. Therefore, it is hoped that the processing of the card swiping scene images can be matched with the imaging features of the key components in the card swiping scene images, namely, the POS machine, so as to improve the flexibility and specificity of image processing. Obviously, there is a lack of corresponding technical solutions in the prior art.

[0013] The implementation scheme of the data processing computer algorithm operating system of the present invention will be described in detail below with reference to the accompanying drawings.

[0014] Figure 1 This is a schematic diagram of the internal structure of a data processing computer algorithm operating system according to Embodiment A of the present invention, wherein the system comprises: A data storage mechanism, used for storing data on a card swiping scene image obtained by performing real-time image acquisition on a card swiping scene of a target POS machine providing a financial payment operation platform; Specifically, the data storage mechanism is used to store data of the card swiping scene picture obtained by performing real-time picture acquisition of the card swiping scene of the target POS machine providing the financial payment operation platform, and includes: the data storage mechanism is a FLASH flash memory; A sequential enhancement mechanism, connected to the data storage mechanism, is used to sequentially perform grayscale transformation enhancement actions, histogram correction actions, and guided filtering actions on the received card swiping scene images to obtain and output corresponding sequential enhancement images; A feature detection mechanism connected to the sequential enhancement mechanism is used to detect one or more image blocks where one or more POS machines are located in the received sequential enhancement picture based on the appearance imaging features of the POS machine, and output the image block with the largest number of pixels as the target image block where the target POS machine is located; A content analysis device, connected to the feature detection mechanism, for analyzing the signal-to-noise ratio of the received target image block to output as a reference signal-to-noise ratio; A dynamic encoding device, connected to the content analysis device, for determining the size of the encoding block selected for performing intra-frame encoding on the card swiping scene picture based on the received reference signal-to-noise ratio; The received reference signal-to-noise ratio determines the size of the coding block selected for performing intra-frame coding on the card swiping scene picture, including: the determined size of the coding block selected for performing intra-frame coding on the card swiping scene picture is positively correlated with the received reference signal-to-noise ratio; The determining that the size of the coding block selected for performing intra-frame coding on the card swiping scene picture is positively correlated with the received reference signal-to-noise ratio includes: using a numerical mapping function to represent the numerical mapping relationship of the positive correlation between the size of the coding block selected for performing intra-frame coding on the card swiping scene picture and the received reference signal-to-noise ratio; Wherein, the sequential enhancement mechanism is connected to the data storage mechanism and is used to sequentially perform grayscale transformation enhancement action, histogram correction action and guided filtering action on the received card swiping scene picture to obtain and output the corresponding sequential enhancement picture, including: the sequential enhancement mechanism includes a front-end enhancement component, a mid-end enhancement component and a terminal enhancement component, and the mid-end enhancement component is respectively connected to the front-end enhancement component and the terminal enhancement component; The sequential enhancement mechanism is connected to the data storage mechanism and is used to sequentially perform grayscale transformation enhancement, histogram correction and guided filtering on the received card swiping scene images to obtain and output the corresponding sequential enhanced images. The front-end enhancement component, the mid-end enhancement component and the terminal enhancement component respectively perform grayscale transformation enhancement, histogram correction and guided filtering on the received image signals. Among them, the numerical mapping relationship between the positive correlation between the size of the coding block selected for performing intra-frame coding on the card swiping scene picture and the received reference signal-to-noise ratio is represented by a numerical mapping function, including: in the numerical mapping function, the received reference signal-to-noise ratio is the input value of the numerical mapping function, and the size of the coding block selected for performing intra-frame coding on the card swiping scene picture is the output value of the numerical mapping function.

[0015] Figure 2 Schematic diagram of the internal structure of a data processing computer algorithm operating system according to Embodiment B of the present invention.

[0016] Compared with embodiment A, the data processing computer algorithm operating system shown in embodiment B may also include the following components: An information extraction component is arranged near the content analysis device, the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component and is connected to the content analysis device, the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component respectively; Among them, the information extraction component is arranged near the content analysis device, the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component and is respectively connected to the content analysis device, the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component, including: the information extraction component is used to respectively realize on-site measurement of the current power of the content analysis device, the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component.

[0017] Figure 3 Schematic diagram of the internal structure of a data processing computer algorithm operating system according to Embodiment C of the present invention.

[0018] Compared with implementation A, the data processing computer algorithm operating system shown in implementation C may also include the following components: An on-site measurement component is disposed near the content analysis device, the front-end reinforcement component, the middle-end reinforcement component, and the end-end reinforcement component and is respectively connected to the content analysis device, the front-end reinforcement component, the middle-end reinforcement component, and the end-end reinforcement component; Among them, the on-site measurement component is arranged near the content analysis device, the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component and is respectively connected to the content analysis device, the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component, including: the on-site measurement component is used to respectively realize the on-site measurement of the current heat of the content analysis device, the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component.

[0019] Next, the specific structure of the data processing computer algorithm operating system of the present invention is further described.

[0020] In a data processing computer algorithm operating system according to any embodiment of the present invention: Using an MSP430 single-chip microcomputer to perform image data processing on the output data of the content analysis device, the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component to obtain output processing data corresponding to the content analysis device, the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component respectively; Among them, using an MSP430 single-chip microcomputer to perform image data processing on the output data of the content analysis device, the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component to obtain the output processing data corresponding to the content analysis device, the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component respectively includes: performing histogram equalization on the output data of the content analysis device, the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component to obtain the output processing data corresponding to the content analysis device, the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component respectively; Among them, using an MSP430 single-chip microcomputer to perform image data processing on the output data of the content analysis device, the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component to obtain the output processing data corresponding to the content analysis device, the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component respectively includes: performing logarithmic image enhancement on the output data of the content analysis device, the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component to obtain the output processing data corresponding to the content analysis device, the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component respectively; Among them, using an MSP430 single-chip microcomputer to perform image data processing on the output data of the content analysis device, the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component to obtain the output processing data corresponding to the content analysis device, the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component respectively includes: performing exponential image enhancement on the output data of the content analysis device, the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component to obtain the output processing data corresponding to the content analysis device, the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component respectively; And wherein, using an MSP430 single-chip microcomputer to perform image data processing on the output data of the content analysis device, the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component to obtain the output processing data corresponding to the content analysis device, the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component respectively includes: performing image enhancement processing based on high contrast retention on the output data of the content analysis device, the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component to obtain the output processing data corresponding to the content analysis device, the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component respectively.

[0021] In addition, in the data processing computer algorithm operating system, in the numerical mapping function, the received reference signal-to-noise ratio is the input value of the numerical mapping function, and the size of the coding block selected for performing intra-frame coding on the card swiping scene screen is determined as the output value of the numerical mapping function, including: selecting a numerical simulation mode to test and simulate the operation process of the numerical mapping function; For example, selecting to use a numerical simulation mode to test and simulate the operation process of the numerical mapping function includes: selecting to use a MATLAB toolbox to test and simulate the operation process of the numerical mapping function.

[0022] The data processing computer algorithm operating system of the present invention solves the technical problem in the prior art that the processing and analysis mechanism of the card swiping scene picture cannot be matched with the imaging characteristics of the nearest POS machine in the picture. In a customized data processing computer algorithm operating system, the visual information of the nearest POS machine can be collected in sequence by performing real-time picture acquisition on the card swiping scene of the target POS machine that provides a financial payment operation platform, and the size of the coding block selected for performing intra-frame coding on the entire card swiping scene picture can be customized based on the collected visual information, thereby ensuring the coding quality while reducing the coding calculation amount as much as possible, thereby solving the above technical problems.

[0023] Although the present invention has been described by way of preferred embodiments, the present invention is not limited to the specific examples given, and other embodiments and modifications may be devised by those skilled in the art without departing from the spirit and scope of the invention.

Claims

1. A data processing computer algorithm operating system, characterized in that: The system comprises: A data storage mechanism, for storing data on a card swiping scene image obtained by performing real-time image acquisition on a card swiping scene of a target POS machine providing a financial payment operation platform; A sequential enhancement mechanism, connected to the data storage mechanism, is used to sequentially perform grayscale transformation enhancement actions, histogram correction actions, and guided filtering actions on the received card swiping scene images to obtain and output corresponding sequential enhancement images; A feature detection mechanism connected to the sequential enhancement mechanism is used to detect one or more image blocks where one or more POS machines are located in the received sequential enhancement picture based on the appearance imaging features of the POS machine, and output the image block with the largest number of pixels as the target image block where the target POS machine is located; A content analysis device, connected to the feature detection mechanism, for analyzing the signal-to-noise ratio of the received target image block to output as a reference signal-to-noise ratio; A dynamic encoding device, connected to the content analysis device, for determining the size of the encoding block selected for performing intra-frame encoding on the card swiping scene picture based on the received reference signal-to-noise ratio; The received reference signal-to-noise ratio determines the size of the coding block selected for performing intra-frame coding on the card swiping scene picture, including: the determined size of the coding block selected for performing intra-frame coding on the card swiping scene picture is positively correlated with the received reference signal-to-noise ratio; The determining that the size of the coding block selected for performing intra-frame coding on the card swiping scene picture is positively correlated with the received reference signal-to-noise ratio includes: using a numerical mapping function to represent the numerical mapping relationship of the positive correlation between the size of the coding block selected for performing intra-frame coding on the card swiping scene picture and the received reference signal-to-noise ratio; Wherein, the sequential enhancement mechanism is connected to the data storage mechanism and is used to sequentially perform grayscale transformation enhancement action, histogram correction action and guided filtering action on the received card swiping scene picture to obtain and output the corresponding sequential enhancement picture, including: the sequential enhancement mechanism includes a front-end enhancement component, a mid-end enhancement component and a terminal enhancement component, and the mid-end enhancement component is respectively connected to the front-end enhancement component and the terminal enhancement component; Among them, the sequential enhancement mechanism is connected to the data storage mechanism, and is used to sequentially perform grayscale transformation enhancement actions, histogram correction actions and guided filtering actions on the received card swiping scene images to obtain and output the corresponding sequential enhanced images. It also includes: the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component respectively perform grayscale transformation enhancement actions, histogram correction actions and guided filtering actions on the received image signals.

2. The data processing computer algorithm operating system according to claim 1, characterized in that: The numerical mapping relationship between the size of the coding block selected for performing intra-frame coding on the card swiping scene picture and the positive correlation with the received reference signal-to-noise ratio represented by a numerical mapping function includes: in the numerical mapping function, the received reference signal-to-noise ratio is the input value of the numerical mapping function, and the size of the coding block selected for performing intra-frame coding on the card swiping scene picture is the output value of the numerical mapping function.

3. The data processing computer algorithm operating system according to claim 2, characterized in that: The system further comprises: An information extraction component is arranged near the content analysis device, the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component and is connected to the content analysis device, the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component respectively; Among them, the information extraction component is arranged near the content analysis device, the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component and is respectively connected to the content analysis device, the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component, including: the information extraction component is used to respectively realize on-site measurement of the current power of the content analysis device, the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component.

4. The data processing computer algorithm operating system according to claim 2, characterized in that: The system further comprises: An on-site measurement component is disposed near the content analysis device, the front-end reinforcement component, the middle-end reinforcement component, and the end-end reinforcement component and is respectively connected to the content analysis device, the front-end reinforcement component, the middle-end reinforcement component, and the end-end reinforcement component; Among them, the on-site measurement component is arranged near the content analysis device, the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component and is respectively connected to the content analysis device, the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component, including: the on-site measurement component is used to respectively realize the on-site measurement of the current heat of the content analysis device, the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component.

5. The data processing computer algorithm operating system according to any one of claims 2 to 4, characterized in that: An MSP430 single-chip microcomputer is used to perform image data processing on the output data of the content analysis device, the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component to obtain output processing data corresponding to the content analysis device, the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component respectively.

6. The data processing computer algorithm operating system according to claim 5, characterized in that: Using an MSP430 single-chip microcomputer to perform image data processing on the output data of the content analysis device, the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component to obtain the output processing data corresponding to the content analysis device, the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component respectively includes: performing histogram equalization on the output data of the content analysis device, the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component to obtain the output processing data corresponding to the content analysis device, the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component respectively.

7. The data processing computer algorithm operating system according to claim 5, characterized in that: Using an MSP430 single-chip microcomputer to perform image data processing on the output data of the content analysis device, the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component to obtain the output processing data corresponding to the content analysis device, the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component respectively includes: performing logarithmic image enhancement on the output data of the content analysis device, the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component to obtain the output processing data corresponding to the content analysis device, the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component respectively.

8. The data processing computer algorithm operating system according to claim 5, characterized in that: Using an MSP430 single-chip microcomputer to perform image data processing on the output data of the content analysis device, the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component to obtain the output processing data corresponding to the content analysis device, the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component respectively includes: performing exponential image enhancement on the output data of the content analysis device, the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component to obtain the output processing data corresponding to the content analysis device, the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component respectively.

9. The data processing computer algorithm operating system according to claim 5, characterized in that: Using an MSP430 single-chip microcomputer to perform image data processing on the output data of the content analysis device, the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component to obtain the output processing data corresponding to the content analysis device, the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component respectively includes: performing image enhancement processing based on high contrast retention on the output data of the content analysis device, the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component to obtain the output processing data corresponding to the content analysis device, the front-end enhancement component, the mid-end enhancement component and the terminal enhancement component respectively.

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