Image transmission safety intelligent early warning system based on image processing technology

Abstract

The invention relates to the technical field of image processing, and particularly discloses an image transmission security intelligent early warning system based on an image processing technology, which comprises an image information acquisition module, an image preprocessing module, an image analysis module, an intelligent early warning module, an image comprehensive analysis module, an image transmission security evaluation module and a user interface module, according to the method, the image information data is collected, preprocessed and analyzed to obtain the image data transmission safety coefficient, the image pixel difference degree coefficient and the image structure similarity coefficient, then the image transmission comprehensive safety index is obtained through analysis, the image processing technology is introduced, automatic identification and early warning of the image content are achieved, and the image transmission efficiency is improved. The image transmission safety can be effectively improved, and the safety risk is reduced; meanwhile, research and development of the system can promote further development of an image processing technology and an artificial intelligence technology, and powerful support is provided for technical innovation in related fields.

Description

Technical Field

[0001] The present invention relates to the technical field of image processing, and in particular to an image transmission safety intelligent early warning system based on image processing technology. Background Art

[0002] With the rapid development of information technology, image data has become one of the indispensable and important information carriers in modern society. Image data is widely used in various fields, including but not limited to social media, telemedicine, security monitoring, industrial automation, autonomous driving, etc. However, image data faces many security threats during transmission, such as data tampering, data leakage, illegal access, etc. These threats may not only damage the integrity of the data, but also cause serious privacy leakage and social security issues. Therefore, it is particularly important to ensure the security and integrity of image data during transmission.

[0003] Traditional image transmission security intelligent early warning systems mostly focus on a single security mechanism. Although they can ensure basic security, they have obvious limitations. They rely too much on manual review, which is inefficient and prone to errors; they have a single technical means and are difficult to fully resist complex network attacks; they lack real-time performance and are difficult to respond to security incidents quickly; they have a low level of intelligence and lack advanced analysis and decision-making capabilities; at the same time, they have poor adaptability to complex environments, which affects recognition accuracy and early warning effects. In addition, they lack comprehensive intelligent early warning functions and are unable to monitor and warn potential security threats in real time.

[0004] Therefore, with the development of technology, there is an urgent need to develop a more intelligent, automated, and real-time image transmission security warning system to overcome existing limitations and better ensure the security and integrity of image data during transmission. Summary of the invention

[0005] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides an image transmission security intelligent early warning system based on image processing technology to solve the problems raised in the above-mentioned background technology.

[0006] To achieve the above-mentioned objectives, the present invention provides the following technical solutions: an image transmission security intelligent warning system based on image processing technology, comprising an image information acquisition module, an image preprocessing module, an image analysis module, an intelligent warning module, an image comprehensive analysis module, an image transmission security assessment module and a user interface module.

[0007] Image information acquisition module: including image data transmission information acquisition unit, image pixel information acquisition unit and image structure information acquisition unit, each acquisition unit is used to acquire comprehensive parameters in the image transmission process, and transmit the acquired comprehensive parameters to the image preprocessing module;

[0008] Image preprocessing module: used to preprocess the comprehensive parameters collected by the image information acquisition module and transmit the preprocessed data to the image analysis module;

[0009] Image analysis module: including image data transmission security analysis unit, image pixel difference analysis unit and image structure similarity analysis unit, which imports the data transmitted by the image preprocessing module into the corresponding analysis unit mathematical model, calculates the image data transmission security factor, image pixel difference coefficient and image structure similarity coefficient, and transmits the calculation results to the intelligent warning module;

[0010] Intelligent early warning module: used to compare the data transmitted by the image analysis module with the preset value to determine whether there is an abnormality, and to initiate emergency response measures and issue early warning signals for abnormal data;

[0011] Image comprehensive analysis module: Based on the data transmitted by the intelligent early warning module, a mathematical model is established to calculate the comprehensive security index of image transmission, and the index is transmitted to the image transmission security assessment module;

[0012] Image transmission security assessment module: used for comparing and analyzing the image transmission comprehensive security index calculated by the image comprehensive analysis module with the comprehensive threshold, obtaining a judgment result, and transmitting the judgment result to the user interface module;

[0013] User interface module: used to receive the transmission status and early warning signals of monitoring image data in real time, and provide managers with safe transmission strategies and analysis reports.

[0014] Preferably, the image data transmission information acquisition unit is used to acquire image data transmission information parameters including the number of lost image data packets, the total number of sent image data packets, the amount of retransmitted data, the amount of original transmitted data, the key length, the amount of encrypted data, the encryption time and the image data transmission delay time; the image pixel information acquisition unit is used to acquire image pixel parameters including the total number of pixels in the image, the pixel values ​​of the original image and the pixel values ​​of the transmitted image; the image structure information acquisition unit is used to acquire image structure parameters including the pixel value set of the original image, the pixel value set of the transmitted image and the dynamic range of the image pixel values.

[0015] Preferably, the image preprocessing module preprocesses data by denoising, enhancing and compressing the collected image through existing filtering technology.

[0016] Preferably, the steps for calculating the image data transmission safety factor are as follows:

[0017] A1: Calculate the image data packet loss rate. The calculation model is as follows:

[0018]

[0019] Wherein, Ldp represents the number of lost image data packets, and Tdp represents the total number of sent image data packets;

[0020] A2: Calculate the image data retransmission rate. The calculation model is as follows:

[0021]

[0022] Among them, Rdv represents the amount of retransmitted data, and Odv represents the amount of original transmitted data;

[0023] A3: Calculate the encryption strength index. The calculation model is as follows:

[0024] Esi=α×log2(2 Kl ),

[0025] Wherein, Kl represents the key length, the unit of the key length is bit, log represents the logarithmic function, and α represents a constant;

[0026] A4: Calculate the security factor of image data transmission. The calculation model is as follows:

[0027]

[0028] Among them, TSC represents the security factor of image data transmission, Esi represents the encryption strength index, Edv represents the amount of encrypted data, Et represents the encryption time, Plr represents the image data packet loss rate, Esi represents the image data retransmission rate, and Dt represents the image data transmission delay time.

[0029] Preferably, the calculation model of the image pixel difference coefficient is as follows:

[0030]

[0031] Wherein, PDC represents the image pixel difference coefficient, N represents the total number of pixels in the image, P1(i) represents the pixel value of the original image at position i, and P2(i) represents the pixel value at position i after the image is transmitted.

[0032] Preferably, the steps for calculating the image structure similarity coefficient are as follows:

[0033] B1: Calculate the image brightness similarity. The calculation model is as follows:

[0034]

[0035] Among them, L(x, y) represents the brightness similarity between the original image and the transmitted image, x represents the pixel value set of the original image, y represents the pixel value set of the transmitted image, μx Represented as the mean of the original image x, μ y It is represented as the mean of the image y after transmission, and C1 is represented as a small positive constant, where C1=(k1×L) 2 , L represents the dynamic range of the image pixel value, k1 represents a constant much smaller than 1, k1 is 0.01 or 0.03;

[0036] B2: Calculate the image contrast similarity. The calculation model is as follows:

[0037]

[0038] Among them, C(x, y) represents the contrast similarity between the original image and the transferred image, σ x Expressed as the variance of the original image x, σ y It is expressed as the variance of the image y after transmission, and C2 is expressed as a small positive constant, where C2 = (k2×L) 2 , k2 is expressed as a constant much smaller than 1, and the values ​​of k2 and k1 are close;

[0039] B3: Calculate the image structure similarity. The calculation model is as follows:

[0040]

[0041] Among them, S(x, y) represents the structural similarity between the original image and the transferred image, σ xy It is expressed as the covariance of the original image x and the transferred image y, and C3 is expressed as a small positive constant.

[0042] B4: Calculate the image structure similarity coefficient. The calculation model is as follows

[0043] SSC=L(x,y)×C(x,y)×S(x,y),

[0044] Among them, SSC represents the image structure similarity coefficient, L(x, y) represents the brightness similarity between the original image and the transmitted image, C(x, y) represents the contrast similarity between the original image and the transmitted image, and S(x, y) represents the structural similarity between the original image and the transmitted image.

[0045] Preferably, the specific manner in which the intelligent early warning module compares the data transmitted by the image analysis module with the preset value is:

[0046] Extract the image data transmission safety factor and obtain the image data transmission safety change fluctuation coefficient formula: If the image data transmission security factor is less than the preset value TSC 预, it is judged that the image data transmission is abnormal, the abnormal result is sent to the management personnel, and the emergency response measures are initiated to issue a warning signal. Otherwise, it indicates that there is no abnormality in the image data transmission;

[0047] Extract the image pixel difference coefficient and get the image pixel change fluctuation coefficient formula: If the image pixel difference coefficient is greater than the preset value PDC 预 , it is judged that there is an abnormality in the image pixels after transmission, the abnormal result is sent to the management personnel, and the emergency response measures are initiated to issue a warning signal. Otherwise, it indicates that there is no abnormality in the image pixels after transmission;

[0048] Extract the image structure similarity coefficient and get the image structure change fluctuation coefficient formula: If the image structure similarity coefficient is less than the preset value SSC 预 , it is judged that there is an abnormality in the image structure, the abnormal result is sent to the management personnel, and the emergency response measures are initiated to issue a warning signal. Otherwise, it indicates that there is no abnormality in the image structure.

[0049] Preferably, the image transmission comprehensive security index calculation model is as follows:

[0050]

[0051] Among them, TCSI represents the comprehensive security index of image transmission, TSC represents the image data transmission security factor, PDC represents the image pixel difference coefficient, SSC represents the image structure similarity coefficient, and β represents other influencing factors of the comprehensive security index of image transmission.

[0052] Preferably, the specific method of comparative analysis of the image transmission security assessment module is:

[0053] Obtain the comprehensive security index of image transmission and compare it with the comprehensive threshold. If the comprehensive security index of image transmission is less than the comprehensive threshold, it indicates that there are security anomalies in the image transmission process. Generate an analysis report for the abnormal data and send it to the corresponding management personnel for review and issue a warning signal. Otherwise, it indicates that there are no security anomalies in the image transmission process.

[0054] Technical effects and advantages of the present invention:

[0055] 1. The present invention collects and preprocesses image information data, analyzes the image data transmission security factor, image pixel difference coefficient and image structure similarity coefficient, and then analyzes the image transmission comprehensive security index. By introducing image processing technology, automatic recognition and early warning of image content can be achieved, which can effectively improve the security of image transmission and reduce security risks. At the same time, the research and development of this system will also promote the further development of image processing technology and artificial intelligence technology, and provide strong support for technological innovation in related fields;

[0056] 2. The present invention integrates advanced image processing technology and intelligent analysis algorithms to detect and warn of possible security threats in the image transmission process in real time, effectively reducing the risk of illegal use of image information and ensuring the integrity and confidentiality of image data;

[0057] 3. The present invention can significantly improve the security and reliability of image transmission, reduce the risk of data leakage, and improve transmission efficiency. At the same time, it has a good user experience and regulatory compliance, providing users with an efficient, secure and reliable image transmission solution. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0059] Figure 1 It is a schematic diagram of the overall structure of the system of the present invention.

[0060] Figure 2 It is a schematic diagram of the structure of the acquisition unit of the image information acquisition module of the present invention. DETAILED DESCRIPTION

[0061] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0062] See also Figure 1-2 As shown, the present invention provides an image transmission security intelligent warning system based on image processing technology, including an image information acquisition module, an image preprocessing module, an image analysis module, an intelligent warning module, an image comprehensive analysis module, an image transmission security assessment module and a user interface module.

[0063] The output end of the image information acquisition module is telecommunication connected to the input end of the image preprocessing module, the output end of the image preprocessing module is telecommunication connected to the input end of the image analysis module, the output end of the image analysis module is telecommunication connected to the input end of the intelligent early warning module, the output end of the intelligent early warning module is telecommunication connected to the input end of the image comprehensive analysis module and the input end of the user interface module respectively, the output end of the image comprehensive analysis module is telecommunication connected to the input end of the image transmission safety assessment module and the input end of the user interface module respectively, and the output end of the image transmission safety assessment module is telecommunication connected to the input end of the user interface module.

[0064] The image information acquisition module includes an image data transmission information acquisition unit, an image pixel information acquisition unit and an image structure information acquisition unit, each acquisition unit is used to acquire comprehensive parameters during image transmission and transmit the acquired comprehensive parameters to the image preprocessing module;

[0065] In the present embodiment, it should be specifically explained that the image data transmission information acquisition unit is used to acquire image data transmission information parameters including the number of lost image data packets, the total number of sent image data packets, the amount of retransmitted data, the amount of original transmitted data, the key length, the amount of encrypted data, the encryption time and the image data transmission delay time; the image pixel information acquisition unit is used to acquire image pixel parameters including the total number of pixels in the image, the pixel value of the original image and the pixel value of the transmitted image; the image structure information acquisition unit is used to acquire image structure parameters including the pixel value set of the original image, the pixel value set of the transmitted image and the dynamic range of the image pixel value.

[0066] In this embodiment, it should be specifically explained that in a grayscale image, each pixel has a grayscale value, which is usually an integer between 0 and 255 (for an 8-bit grayscale image); therefore, the pixel set of the grayscale image is a set of these grayscale values, for example: {50, 100, 150, 200, ...}, which contains the grayscale values ​​of all pixels in the image.

[0067] For color images, each pixel is represented by the values ​​of the three color channels: red (R), green (G), and blue (B); these three values ​​are usually integers between 0 and 255 (for 8-bit color channels); therefore, the pixel set of a color image is actually a set of triplets, each of which represents the color information of a pixel. For example: {(100, 150, 200), (50, 100, 150), ...}, where each triplet (R, G, B) represents the color of a pixel.

[0068] The image preprocessing module is used to preprocess the comprehensive parameters collected by the image information collection module and transmit the preprocessed data to the image analysis module;

[0069] In this embodiment, it should be specifically explained that the image preprocessing module preprocesses data by denoising, enhancing and compressing the collected image through existing filtering technology.

[0070] The image analysis module includes an image data transmission security analysis unit, an image pixel difference analysis unit and an image structure similarity analysis unit, which imports the data transmitted by the image preprocessing module into the corresponding analysis unit mathematical model, calculates the image data transmission security factor, the image pixel difference coefficient and the image structure similarity coefficient, and transmits the calculation results to the intelligent early warning module;

[0071] In this embodiment, it should be specifically explained that the calculation steps of the image data transmission safety factor are as follows:

[0072] A1: Calculate the image data packet loss rate. The calculation model is as follows:

[0073]

[0074] Wherein, Ldp represents the number of lost image data packets, and Tdp represents the total number of sent image data packets;

[0075] A2: Calculate the image data retransmission rate. The calculation model is as follows:

[0076]

[0077] Among them, Rdv represents the amount of retransmitted data, and Odv represents the amount of original transmitted data;

[0078] A3: Calculate the encryption strength index. The calculation model is as follows:

[0079] Esi=α×log2(2 Kl ),

[0080] Wherein, Kl represents the key length, the unit of the key length is bit, log represents the logarithmic function, and α represents a constant;

[0081] A4: Calculate the security factor of image data transmission. The calculation model is as follows:

[0082]

[0083] Among them, TSC represents the security factor of image data transmission, Esi represents the encryption strength index, Edv represents the amount of encrypted data, Et represents the encryption time, Plr represents the image data packet loss rate, Esi represents the image data retransmission rate, and Dt represents the image data transmission delay time.

[0084] In this embodiment, it should be specifically explained that the image data transmission security factor is an important input parameter of the intelligent early warning system method. Image data transmission with a high security factor can significantly reduce the risk of data being stolen, tampered with or lost during transmission.

[0085] In this embodiment, it should be specifically explained that the calculation model of the image pixel difference coefficient is as follows:

[0086]

[0087] Wherein, PDC represents the image pixel difference coefficient, N represents the total number of pixels in the image, P1(i) represents the pixel value of the original image at position i, and P2(i) represents the pixel value at position i after the image is transmitted.

[0088] In this embodiment, it should be specifically explained that during the image transmission process, the system can monitor in real time whether the image has been tampered with or damaged during the transmission process by calculating the pixel difference coefficient between the received image and the original image. Using the image pixel difference coefficient for monitoring can increase the detection sensitivity of image tampering behavior, making it difficult for any minor tampering to escape the monitoring of the system, thereby improving the security of image transmission. In addition, by analyzing the image pixel difference coefficient, the quality of image transmission can be intuitively evaluated. The smaller the difference coefficient, the more complete the image is maintained during the transmission process, the higher the transmission quality, and the higher the security of image transmission, which helps to promptly discover and solve problems in the transmission process.

[0089] In this embodiment, it should be specifically explained that the steps for calculating the image structure similarity coefficient are as follows:

[0090] B1: Calculate the image brightness similarity. The calculation model is as follows:

[0091]

[0092] Among them, L(x, y) represents the brightness similarity between the original image and the transmitted image, x represents the pixel value set of the original image, y represents the pixel value set of the transmitted image, μ x Represented as the mean of the original image x, μ y It is represented as the mean of the image y after transmission, and C1 is represented as a small positive constant, where C1=(k1×L) 2, L represents the dynamic range of the image pixel value, k1 represents a constant much smaller than 1, k1 is usually 0.01 or 0.03;

[0093] B2: Calculate the image contrast similarity. The calculation model is as follows:

[0094]

[0095] Among them, C(x, y) represents the contrast similarity between the original image and the transferred image, σ x Expressed as the variance of the original image x, σ y It is expressed as the variance of the image y after transmission, and C2 is expressed as a small positive constant, where C2 = (k2×L) 2 , k2 is expressed as a constant much smaller than 1, and k2 is usually close to k1;

[0096] B3: Calculate the image structure similarity. The calculation model is as follows:

[0097]

[0098] Among them, S(x, y) represents the structural similarity between the original image and the transferred image, σ xy It is expressed as the covariance of the original image x and the transferred image y, and C3 is expressed as a small positive constant.

[0099] In this embodiment, it should be specifically noted that the values ​​of C1, C2, and C3 are small positive constants to avoid the denominator being zero and to increase numerical stability. L represents the dynamic range of the image pixel value, for example, for an 8-bit image, L=255.

[0100] B4: Calculate the image structure similarity coefficient. The calculation model is as follows

[0101] SSC=L(x,y)×C(x,y)×S(x,y),

[0102] Among them, SSC represents the image structure similarity coefficient, L(x, y) represents the brightness similarity between the original image and the transmitted image, C(x, y) represents the contrast similarity between the original image and the transmitted image, and S(x, y) represents the structural similarity between the original image and the transmitted image.

[0103] In this embodiment, it should be specifically explained that the image structure similarity coefficient is an important indicator for measuring image quality and can evaluate the similarity between two images. Its value ranges from 0 to 1. The closer the value is to 1, the more similar the two images are in structure; the greater the difference is.

[0104] By calculating the structural similarity coefficient between the original image and the transmitted image, the system can evaluate whether the image has suffered significant quality loss during transmission. This helps to promptly detect and resolve problems in the transmission link and ensure the integrity and accuracy of image information. When the system detects that the quality of the transmitted image has significantly degraded, this may mean that there are security risks in the transmission link, such as tampering, interception, or interference. At this point, the system can automatically trigger a security early warning mechanism to alert relevant personnel so that timely measures can be taken to deal with potential security threats.

[0105] The intelligent early warning module is used to compare the data transmitted by the image analysis module with the preset value to determine whether an abnormality occurs, and to initiate emergency response measures for abnormal data and issue an early warning signal;

[0106] In this embodiment, it should be specifically explained that the specific manner in which the intelligent early warning module compares the data transmitted by the image analysis module with the preset value is:

[0107] Extract the image data transmission safety factor and obtain the image data transmission safety change fluctuation coefficient formula: If the image data transmission security factor is less than the preset value TSC 预 , it is judged that the image data transmission is abnormal, the abnormal result is sent to the management personnel, and the emergency response measures are initiated to issue a warning signal. Otherwise, it indicates that there is no abnormality in the image data transmission;

[0108] Extract the image pixel difference coefficient and get the image pixel change fluctuation coefficient formula: If the image pixel difference coefficient is greater than the preset value PDC 预 , it is judged that there is an abnormality in the image pixels after transmission, the abnormal result is sent to the management personnel, and the emergency response measures are initiated to issue a warning signal. Otherwise, it indicates that there is no abnormality in the image pixels after transmission;

[0109] Extract the image structure similarity coefficient and get the image structure change fluctuation coefficient formula: If the image structure similarity coefficient is less than the preset value SSC 预 , it is judged that there is an abnormality in the image structure, the abnormal result is sent to the management personnel, and the emergency response measures are initiated to issue a warning signal. Otherwise, it indicates that there is no abnormality in the image structure.

[0110] In this embodiment, it should be specifically explained that the emergency response measures are: automatically cutting off abnormal transmission channels, and recording and saving abnormal data for subsequent analysis.

[0111] The image comprehensive analysis module establishes a mathematical model to calculate the image transmission comprehensive safety index based on the data transmitted by the intelligent early warning module, and transmits it to the image transmission safety assessment module;

[0112] In this embodiment, it should be specifically explained that the image transmission comprehensive security index calculation model is as follows:

[0113]

[0114] Among them, TCSI represents the comprehensive security index of image transmission, TSC represents the image data transmission security factor, PDC represents the image pixel difference coefficient, SSC represents the image structure similarity coefficient, and β represents other influencing factors of the comprehensive security index of image transmission.

[0115] The image transmission security assessment module is used to compare and analyze the image transmission comprehensive security index calculated by the image comprehensive analysis module with the comprehensive threshold, obtain a judgment result, and transmit the judgment result to the user interface module;

[0116] In this embodiment, it should be specifically explained that the specific method of comparative analysis of the image transmission security assessment module is:

[0117] Obtain the comprehensive security index of image transmission and compare it with the comprehensive threshold. If the comprehensive security index of image transmission is less than the comprehensive threshold, it indicates that there are security anomalies in the image transmission process. Generate an analysis report for the abnormal data and send it to the corresponding management personnel for review and issue a warning signal. Otherwise, it indicates that there are no security anomalies in the image transmission process.

[0118] The user interface module is used to receive the transmission status and early warning signals of the monitoring image data in real time, and provide security transmission strategies and analysis reports for managers.

[0119] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

[0120] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. An intelligent early warning system for image transmission security based on image processing technology, characterized in that: include: Image information acquisition module: including image data transmission information acquisition unit, image pixel information acquisition unit and image structure information acquisition unit, each acquisition unit is used to acquire comprehensive parameters in the image transmission process, and transmit the acquired comprehensive parameters to the image preprocessing module; Image preprocessing module: used to preprocess the comprehensive parameters collected by the image information acquisition module and transmit the preprocessed data to the image analysis module; Image analysis module: including image data transmission security analysis unit, image pixel difference analysis unit and image structure similarity analysis unit, which imports the data transmitted by the image preprocessing module into the corresponding analysis unit mathematical model, calculates the image data transmission security factor, image pixel difference coefficient and image structure similarity coefficient, and transmits the calculation results to the intelligent warning module; Intelligent early warning module: used to compare the data transmitted by the image analysis module with the preset value to determine whether there is an abnormality, and to initiate emergency response measures and issue early warning signals for abnormal data; Image comprehensive analysis module: Based on the data transmitted by the intelligent early warning module, a mathematical model is established to calculate the comprehensive security index of image transmission, and the index is transmitted to the image transmission security assessment module; Image transmission security assessment module: used for comparing and analyzing the image transmission comprehensive security index calculated by the image comprehensive analysis module with the comprehensive threshold, obtaining a judgment result, and transmitting the judgment result to the user interface module; User interface module: used to receive the transmission status and early warning signals of monitoring image data in real time, and provide managers with safe transmission strategies and analysis reports.

2. The image transmission security intelligent early warning system based on image processing technology according to claim 1 is characterized by: The image data transmission information acquisition unit is used to acquire image data transmission information parameters including the number of lost image data packets, the total number of sent image data packets, the amount of retransmitted data, the amount of original transmitted data, the key length, the amount of encrypted data, the encryption time, and the image data transmission delay time; The image pixel information acquisition unit is used to acquire image pixel parameters including the total number of pixels in the image, the pixel values ​​of the original image, and the pixel values ​​of the transmitted image; the image structure information acquisition unit is used to acquire image structure parameters including the pixel value set of the original image, the pixel value set of the transmitted image, and the dynamic range of the image pixel values.

3. The image transmission security intelligent early warning system based on image processing technology according to claim 1 is characterized by: The image preprocessing module preprocesses data by denoising, enhancing and compressing the collected images through existing filtering technology.

4. The image transmission security intelligent early warning system based on image processing technology according to claim 1 is characterized by: The calculation steps of the image data transmission safety factor are as follows: A1: Calculate the image data packet loss rate. The calculation model is as follows: Wherein, Ldp represents the number of lost image data packets, and Tdp represents the total number of sent image data packets; A2: Calculate the image data retransmission rate. The calculation model is as follows: Among them, Rdv represents the amount of retransmitted data, and Odv represents the amount of original transmitted data; A3: Calculate the encryption strength index. The calculation model is as follows: Esi=α×log2(2 Kl ), Wherein, Kl represents the key length, the unit of the key length is bit, log represents the logarithmic function, and α represents a constant; A4: Calculate the security factor of image data transmission. The calculation model is as follows: Among them, TSC represents the security factor of image data transmission, Esi represents the encryption strength index, Edv represents the amount of encrypted data, Et represents the encryption time, Plr represents the image data packet loss rate, Esi represents the image data retransmission rate, and Dt represents the image data transmission delay time.

5. The image transmission security intelligent early warning system based on image processing technology according to claim 1 is characterized by: The calculation model of the image pixel difference coefficient is as follows: Wherein, PDC represents the image pixel difference coefficient, N represents the total number of pixels in the image, P1(i) represents the pixel value of the original image at position i, and P2(i) represents the pixel value at position i after the image is transmitted.

6. The image transmission security intelligent early warning system based on image processing technology according to claim 1 is characterized by: The calculation steps of the image structure similarity coefficient are as follows: B1: Calculate the image brightness similarity. The calculation model is as follows: Among them, L(x, y) represents the brightness similarity between the original image and the transmitted image, x represents the pixel value set of the original image, y represents the pixel value set of the transmitted image, μ x Represented as the mean of the original image x, μ y It is represented as the mean of the image y after transmission, and C1 is represented as a small positive constant, where C1=(k1×L) 2 , L represents the dynamic range of the image pixel value, k1 represents a constant much smaller than 1, k1 is 0.01 or 0.03; B2: Calculate the image contrast similarity. The calculation model is as follows: Among them, C(x, y) represents the contrast similarity between the original image and the transferred image, σ x Expressed as the variance of the original image x, σ y It is expressed as the variance of the image y after transmission, and C2 is expressed as a small positive constant, where C2 = (k2×L) 2 , k2 is expressed as a constant much smaller than 1, and the values ​​of k2 and k1 are close; B3: Calculate the image structure similarity. The calculation model is as follows: Among them, S(x, y) represents the structural similarity between the original image and the transferred image, σ xy It is expressed as the covariance of the original image x and the transferred image y, and C3 is expressed as a small positive constant. B4: Calculate the image structure similarity coefficient. The calculation model is as follows SSC=L(x,y)×C(x,y)×S(x,y), Among them, SSC represents the image structure similarity coefficient, L(x, y) represents the brightness similarity between the original image and the transmitted image, C(x, y) represents the contrast similarity between the original image and the transmitted image, and S(x, y) represents the structural similarity between the original image and the transmitted image.

7. The image transmission security intelligent early warning system based on image processing technology according to claim 1 is characterized by: The specific method in which the intelligent early warning module compares the data transmitted by the image analysis module with the preset value is: Extract the image data transmission safety factor and obtain the image data transmission safety change fluctuation coefficient formula: If the image data transmission security factor is less than the preset value TSC 预 , it is judged that the image data transmission is abnormal, the abnormal result is sent to the management personnel, and the emergency response measures are initiated to issue a warning signal. Otherwise, it indicates that there is no abnormality in the image data transmission; Extract the image pixel difference coefficient and get the image pixel change fluctuation coefficient formula: If the image pixel difference coefficient is greater than the preset value PDC 预 , it is judged that there is an abnormality in the image pixels after transmission, the abnormal result is sent to the management personnel, and the emergency response measures are initiated to issue a warning signal. Otherwise, it indicates that there is no abnormality in the image pixels after transmission; Extract the image structure similarity coefficient and get the image structure change fluctuation coefficient formula: If the image structure similarity coefficient is less than the preset value SSC 预 , it is judged that there is an abnormality in the image structure, the abnormal result is sent to the management personnel, and the emergency response measures are initiated to issue a warning signal. Otherwise, it indicates that there is no abnormality in the image structure.

8. The image transmission security intelligent early warning system based on image processing technology according to claim 1 is characterized by: The calculation model of the image transmission comprehensive security index is as follows: Among them, TCSI represents the comprehensive security index of image transmission, TSC represents the image data transmission security factor, PDC represents the image pixel difference coefficient, SSC represents the image structure similarity coefficient, and β represents other influencing factors of the comprehensive security index of image transmission.

9. The image transmission security intelligent early warning system based on image processing technology according to claim 1 is characterized by: The specific method of comparative analysis of the image transmission security assessment module is as follows: Obtain the comprehensive security index of image transmission and compare it with the comprehensive threshold. If the comprehensive security index of image transmission is less than the comprehensive threshold, it indicates that there are security anomalies in the image transmission process. Generate an analysis report for the abnormal data and send it to the corresponding management personnel for review and issue a warning signal. Otherwise, it indicates that there are no security anomalies in the image transmission process.

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