CN111182173A - Image transmission processing method and system - Google Patents
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- CN111182173A CN111182173A CN201911184190.6A CN201911184190A CN111182173A CN 111182173 A CN111182173 A CN 111182173A CN 201911184190 A CN201911184190 A CN 201911184190A CN 111182173 A CN111182173 A CN 111182173A
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Abstract
The invention discloses an image transmission processing method and a system, wherein the method comprises the following steps: receiving an original gray level image sent by a wireless camera pen and judging the current environment condition; inquiring a threshold value table, and if a corresponding threshold value exists, returning the inquired threshold value to the wireless camera pen; if not, randomly selecting a threshold value according to the calculated threshold value dynamic range and sending the threshold value to the wireless camera pen; receiving compressed data sent by a wireless camera pen; extracting image information in the compressed data, decompressing and displaying the extracted image information; receiving an image grade evaluated aiming at a displayed image, receiving threshold deviation information evaluated aiming at the displayed image if the image grade is not clear, updating a threshold by utilizing the threshold deviation information, sending the updated threshold to a wireless camera pen, and acquiring compressed data again; and updating the threshold value table after the cleaning image is obtained. The invention effectively solves the problems of insufficient image processing capacity and low real-time data transmission.
Description
Technical Field
The application belongs to the technical field of image processing, and particularly relates to an image transmission processing method and system.
Background
With the rapid development of the internet of things technology, portable remote electronic devices are also rapidly developed, and bring a large amount of data, which face the problems of data processing and transmission, especially in the aspect of video image transmission, pixels of each frame of image in a video image generate a large amount of data, and the cost of video and image processing brought by the data is also increased.
At present, due to the development of a translation pen and a multifunctional intelligent pen, a wireless camera pen faces the problems that a large amount of image data is calculated and processed, the image data is transmitted in real time, the hardware cost is high, and an image acquired by equipment is influenced by environmental factors due to the fact that the wireless camera pen comprises a camera sensor.
Disclosure of Invention
The application aims to provide an image transmission processing method and system, and the problems of insufficient image processing capacity and low data transmission real-time performance are effectively solved.
In order to achieve the purpose, the technical scheme adopted by the application is as follows:
an image transmission processing method is applied to image transmission between a wireless camera pen and a server, and the image transmission processing method is implemented in the server and comprises the following steps:
step 1, receiving an original gray image sent by a wireless camera pen, and judging the current environment condition according to the original gray image;
step 2, inquiring a threshold value table according to the current environment condition, and if a corresponding threshold value exists, returning the inquired threshold value to the wireless camera pen; if not, calculating a threshold dynamic range according to the original gray level image, and randomly selecting a threshold from the threshold dynamic range and sending the threshold to the wireless camera pen;
step 3, receiving compressed data sent by the wireless camera pen; the compressed data is obtained by compressing a binary image by a wireless camera pen, and the binary image is obtained by performing binary processing on a currently acquired original gray level image by the wireless camera pen according to a threshold value sent by a server;
step 4, extracting the image information in the compressed data, decompressing and displaying the extracted image information according to a decompression algorithm;
step 5, receiving the image grade evaluated aiming at the displayed image, and executing step 6 if the image grade is clear; otherwise, receiving threshold deviation information for evaluating the displayed image, updating the threshold by using the threshold deviation information, sending the updated threshold to the wireless camera pen, and re-executing the step 3;
and 6, updating the threshold value table by using the current environment condition and the latest threshold value.
Preferably, the image transmission processing method further includes, before performing step 1:
the server sends a preset instruction to the wireless camera pen; the preset instruction is used for the wireless camera pen to analyze and acquire an original gray image according to an analysis result.
Preferably, the server receives an original grayscale image sent by a wireless camera pen, and the server includes:
receiving a plurality of data packets with numbers sent by a wireless camera pen;
and performing data splicing on the received data packets according to the serial numbers to obtain an original gray image.
Preferably, the server calculates a threshold dynamic range from the original grayscale image, and includes:
step 2.1, calculating a threshold t1 by using a gray average value method:
wherein h (g) is the number of pixels with gray level g in the original gray image;
step 2.2, calculating a threshold t2 by adopting an iterative optimal threshold method:
step 2.2.1, setting the initial value of k as 1;
step 2.2.2, obtaining the maximum gray value g in the original gray imagelAnd the minimum gray value ghCalculating an initial threshold value Tk-1：
Step 2.2.3, according to threshold value Tk-1Dividing the original gray level image into foreground and background, respectively calculating average gray level A of foreground and backgroundbAnd Af：
Step 2.2.4, calculate
If Tk＝Tk-1If the threshold T2 is equal to Tk(ii) a Otherwise, k is k +1, and step 2.2.3 is executed again;
and 2.3, presetting the adjustment quantity of the threshold value range to be delta t, and obtaining threshold value dynamic ranges of (t 1-delta t, t1+ delta t) and (t 2-delta t, t2+ delta t).
Preferably, the compressed data is obtained by compressing a binary image by a wireless camera pen, and includes:
the wireless camera pen compresses a binary image through an improved RLE compression algorithm, wherein the improved RLE compression algorithm adopts a single byte to represent pixel information and length information of a single pixel;
the 7 th bit of each byte represents pixel information, the seventh bit is 1 to represent that the pixel is a white point, and the seventh bit is 0 to represent that the pixel is a black point; bits 0 to 6 of each of the bytes represent length information.
Preferably, the image levels include blur, general sharpness, sharpness;
the threshold deviation information comprises deviation direction and deviation level, the deviation direction comprises large deviation and small deviation, and the deviation level comprises large deviation, small deviation and small deviation.
The application also provides an image transmission processing system, which comprises a server and a wireless camera pen, wherein the server comprises a memory and a processor, the memory stores a computer program, and the processor realizes the steps of the image transmission processing method when executing the computer program.
According to the image transmission processing method and the image transmission processing system, the server checks the table according to the current environment, the threshold required by the wireless camera pen for image processing is obtained, the image quality of the wireless camera pen under different environmental factors is guaranteed, and meanwhile, the server adopts a threshold feedback process, so that the accuracy of threshold setting is improved; the wireless camera pen carries out binarization and compression processing according to the threshold value, avoids the wireless intelligent pen from executing too complex algorithm, solves the problem of limited image processing capability of the wireless intelligent pen, and enables compressed data to be more convenient for real-time transmission.
Drawings
Fig. 1 is a flowchart of an image transmission processing method according to the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used in the description of the present application herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application.
In one embodiment, an image transmission processing method is provided, which is applied to image transmission between a wireless camera pen and a server, so as to solve the problems of insufficient processing capability of the wireless camera pen and low real-time performance of data transmission between the wireless camera pen and the server.
As shown in fig. 1, the image transmission processing method of the present embodiment is implemented in a server, and includes the following steps:
step 1, receiving an original gray image sent by a wireless camera pen, and judging the current environment condition according to the original gray image.
The wireless camera pen and the server have a data interaction function, and when the wireless camera pen and the server perform data interaction, the wireless camera pen can photograph and upload images in real time or photograph and upload images after receiving an instruction of the server.
In this embodiment, a wireless camera pen is described as an example of operating according to an instruction of a server, that is, before performing step 1, the image transmission processing method further includes: the server sends a preset instruction to the wireless camera pen, and the wireless camera pen analyzes and collects an original gray image according to an analysis result. The mode can control the photographing frequency of the wireless camera pen, avoid causing overlarge processing pressure to the server, and simultaneously can also ensure the effectiveness and the accuracy of image acquisition.
It should be noted that the preset instruction may be a unified encapsulated instruction called by a wireless camera pen, or may be a self-defined instruction with a self-defined parameter, so that the instruction is more targeted, an instruction analysis error is avoided, and safe and stable instruction interaction is established. The present embodiment focuses on explaining that the wireless camera pen takes a photograph according to the instruction, and the instruction itself is not strictly limited.
After the wireless camera pen collects the original gray level image, the original gray level image can be converted into one or more data packets to be sent to the server. In order to reduce the pressure of single transmission and reduce the problem of data loss, in one embodiment, the wireless camera pen divides the original image into a plurality of data packets, numbers each data packet and sends the data packet to the server, and the server receives the original grayscale image sent by the wireless camera pen, including: receiving a plurality of data packets with numbers sent by a wireless camera pen; and performing data splicing on the received data packets according to the serial numbers to obtain an original gray image.
Step 2, inquiring a threshold value table according to the current environment condition, and if a corresponding threshold value exists, returning the inquired threshold value to the wireless camera pen; and if not, calculating a threshold dynamic range according to the original gray level image, and randomly selecting a threshold from the threshold dynamic range and sending the threshold to the wireless camera pen.
The server of this embodiment establishes a threshold value table, and the threshold value table stores the environmental conditions and corresponding threshold values, and the server continuously updates the threshold value table.
Therefore, when the original gray image of the wireless camera pen is received, the server preferentially performs table lookup according to the original gray image, and if a record which is consistent with the environment in the original gray image exists, the corresponding threshold value is read, so that the processing time of the server is reduced.
When the current environment is identified according to the original gray level image, the illumination condition of the environment is mainly identified, and the current environment is judged according to the illumination condition, so that a threshold value table is established.
If there is no history in the current environment, then the server is required to dynamically calculate the threshold, and in one embodiment, the server calculates the threshold dynamic range according to the original gray image, including:
step 2.1, calculating a threshold t1 by using a gray average value method:
wherein h (g) is the number of pixels with gray level g in the original gray image;
step 2.2, calculating a threshold t2 by adopting an iterative optimal threshold method:
step 2.2.1, setting the initial value of k as 1;
step 2.2.2, obtaining the original ashMaximum gray value g in degree imagelAnd the minimum gray value ghCalculating an initial threshold value Tk-1：
Step 2.2.3, according to threshold value Tk-1Dividing the original gray level image into foreground and background, respectively calculating average gray level A of foreground and backgroundbAnd Af：
Step 2.2.4, calculate
If Tk＝Tk-1If the threshold T2 is equal to Tk(ii) a Otherwise, k is k +1, and step 2.2.3 is executed again;
and 2.3, presetting the adjustment quantity of the threshold value range to be delta t, and obtaining threshold value dynamic ranges of (t 1-delta t, t1+ delta t) and (t 2-delta t, t2+ delta t).
In the embodiment, when the threshold is set, the threshold range is generated firstly, and then one threshold is selected from the threshold range, so that the randomness of threshold selection can be improved, and the possible fixed deviation caused by adopting a fixed mode is avoided. The adjustment amount Δ t is dynamically set according to actual conditions, for example, the adjustment amount Δ t may be set to three levels, and if a smaller threshold range is required, the adjustment amount Δ t may be set to 10; if a moderate threshold range is required, the adjustment amount Δ t may be set to 20; if a large threshold range is required, the adjustment amount Δ t may be set to 50, and the division of each level may be determined according to experience of actual tests.
Step 3, receiving compressed data sent by the wireless camera pen; and the compressed data is obtained by compressing a binary image by a wireless camera pen, and the binary image is obtained by performing binarization processing on the currently acquired original gray level image by the wireless camera pen according to a threshold value sent by the server.
In the interaction process of the wireless camera pen and the server, the wireless camera pen firstly sends an original gray image obtained initially to the server for the server to judge the current environment; when the server judges the current environment and sends the threshold value to the wireless camera pen, the wireless camera pen subsequently simply processes the currently obtained original gray level image according to the threshold value and then sends the original gray level image to the server, so that real-time data transmission is guaranteed, and the problem of transmission errors possibly caused by direct transmission of the original gray level image is avoided.
The wireless camera pen carries out binarization processing on the original gray level image, and can effectively solve the problem of insufficient processing capacity caused by a copying algorithm. And the wireless camera pen does not need to carry out excessive processing, and the processing and the display of the image are mainly concentrated on the server, so the hardware requirement on the intelligent pen can be reduced, and the problem of the hardware cost of the intelligent pen is effectively solved.
In order to facilitate data transmission and reduce the data error rate, the wireless camera pen compresses the binary image, and the compression method can adopt a PCX stroke compression method, a BI _ RLE compression method and the like. In one embodiment, to further improve the coding efficiency and improve the timeliness of data transmission, the compression method adopted by the wireless camera pen comprises the following steps:
run Length Encoding (RLE) is an Encoding mode based on statistical thought, and is suitable for data with continuous equal numerical values. The basic idea of RLE coding is: expressing adjacent pixels with the same color in a scanning line by two bytes, wherein the first byte is a counting value and is used for specifying the repeated times of the pixels; the second byte is the value of the particular pixel. The stroke length is the number of consecutive and repeating units. One form of coding is represented in the form (C, L), C being a numerical value and L being a run length. For example, run-length coding is performed on 20 pieces of data {0,0,0,0,0,0,0, 1,1,1,1,1,1,1,1,1,1,1} to obtain { (0,8), (1,12) }4 pieces of unit data.
The decompression process of the stroke code is reversible and can be reconstructed into original data, and the method belongs to lossless compression. The embodiment adopts an improved RLE compression algorithm to compress the binary image. The method specifically comprises the following steps: representing pixel information and length information of a single pixel by using a single byte; the 7 th bit of each byte represents pixel information, the seventh bit is 1 to represent that the pixel is a white point, and the seventh bit is 0 to represent that the pixel is a black point; bits 0 to 6 of each of the bytes represent length information. If the length information is larger than the longest information length that can be recorded by one byte, the byte recording length information is increased.
And the wireless camera pen compresses the binary image through an improved RLE compression algorithm. The wireless camera pen can effectively solve the problems of real-time performance in the data transmission process and time delay in the data transmission process by compressing and sending data.
And 4, extracting the image information in the compressed data, decompressing and displaying the extracted image information according to a decompression algorithm.
Wherein the decompression algorithm performs the back decompression according to the adopted compression algorithm.
Step 5, receiving the image grade evaluated aiming at the displayed image, and executing step 6 if the image grade is clear; otherwise, receiving threshold deviation information for evaluating the displayed image, updating the threshold by using the threshold deviation information, sending the updated threshold to the wireless camera pen, and re-executing the step 3.
In this embodiment, the displayed image may be evaluated by using a preset evaluation algorithm, or may be evaluated manually. In the embodiment, human evaluation is preferably adopted, wherein the image grade comprises fuzzy, general clearness and clearness; the threshold deviation information comprises deviation directions and deviation levels, wherein the deviation directions comprise large deviation and small deviation, and the deviation levels comprise large deviation, small deviation and tiny deviation.
For the convenience of server identification, the image level and the threshold deviation information are embodied as digital quantities in this embodiment, that is, for example, 1, 2, and 3 are adopted to respectively represent blur, general sharpness, and sharpness. If the image grade is not clear, the threshold value sent to the wireless camera pen needs to be adjusted, and the adjustment direction is adjusted according to the threshold value deviation information.
The threshold adjustment is further described below with specific values:
for example, definition 1 indicates a larger deviation direction, and definition-1 indicates a smaller deviation direction.
The magnitude, the magnitude and the tiny of the deviation levels are defined as 6, 3 and 1 respectively.
If the current threshold is 150 and the received threshold deviation information is 1,3, indicating that the current threshold is larger and the deviation level is smaller, and then the updating threshold is 150-3 to 147; if the current threshold is 150 and the received threshold deviation information is-1, 6, the current threshold is smaller, and the deviation level is larger, the updated threshold is 150+ 6-156; and so on to update the threshold.
It should be noted that the above-defined numerical values are merely illustrative principles, and the actual numerical values are adjusted as needed.
And 6, updating the threshold value table by using the current environment condition and the latest threshold value.
If the image transmission corresponds to a new environment, storing new environment information and a corresponding optimal threshold into a threshold table when updating the threshold table; if the image transmission is the environment of the historical record and the threshold corresponding to the environment is updated, updating the threshold of the environment record in the threshold table by using the latest threshold; and if the image transmission is the environment of the historical record and the threshold corresponding to the environment is not updated, ending the updating of the threshold table.
In the practical application process of the wireless camera pen, the server directly sends corresponding threshold information to the wireless camera pen device through table lookup according to different conditions, the quality of images of the intelligent pen under different environmental factors can be effectively guaranteed, and the environmental adaptability of the device is improved.
According to the image transmission processing method, the server checks the table according to the current environment to obtain the threshold value required by the wireless camera pen for image processing, so that the image quality of the wireless camera pen under different environmental factors is ensured, and meanwhile, the server adopts a threshold value feedback process to improve the accuracy of threshold value setting; the wireless camera pen carries out binarization and compression processing according to the threshold value, avoids the wireless intelligent pen from executing too complex algorithm, solves the problem of limited image processing capability of the wireless intelligent pen, and enables compressed data to be more convenient for real-time transmission.
In another embodiment, an image transmission processing system is further disclosed, which includes a server and a wireless camera pen, the server includes a memory and a processor, the memory stores a computer program, and the processor implements the steps of the image transmission processing method when executing the computer program.
For specific limitations of the image transmission processing system, reference may be made to the above limitations of the image transmission processing method, which are not described herein again.
The server may be a terminal, and its internal structure may include a processor, a memory, a network interface, a display screen, and an input device connected through a system bus. Wherein the processor of the server is used to provide computing and control capabilities. The memory of the server comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the server is used for communicating with an external terminal through network connection. The computer program is executed by a processor to implement the image transmission processing method described above. The display screen of the server can be a liquid crystal display screen or an electronic ink display screen, and the input device of each device can be a touch layer covered on the display screen, a key, a track ball or a touch pad arranged on the shell of the server, an external keyboard, a touch pad or a mouse and the like. The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (7)
1. An image transmission processing method is applied to image transmission between a wireless camera pen and a server, and is characterized in that the image transmission processing method is implemented in the server and comprises the following steps:
step 1, receiving an original gray image sent by a wireless camera pen, and judging the current environment condition according to the original gray image;
step 2, inquiring a threshold value table according to the current environment condition, and if a corresponding threshold value exists, returning the inquired threshold value to the wireless camera pen; if not, calculating a threshold dynamic range according to the original gray level image, and randomly selecting a threshold from the threshold dynamic range and sending the threshold to the wireless camera pen;
step 3, receiving compressed data sent by the wireless camera pen; the compressed data is obtained by compressing a binary image by a wireless camera pen, and the binary image is obtained by performing binary processing on a currently acquired original gray level image by the wireless camera pen according to a threshold value sent by a server;
step 4, extracting the image information in the compressed data, decompressing and displaying the extracted image information according to a decompression algorithm;
step 5, receiving the image grade evaluated aiming at the displayed image, and executing step 6 if the image grade is clear; otherwise, receiving threshold deviation information for evaluating the displayed image, updating the threshold by using the threshold deviation information, sending the updated threshold to the wireless camera pen, and re-executing the step 3;
and 6, updating the threshold value table by using the current environment condition and the latest threshold value.
2. The image transmission processing method according to claim 1, wherein the image transmission processing method further comprises, before performing step 1:
the server sends a preset instruction to the wireless camera pen; the preset instruction is used for the wireless camera pen to analyze and acquire an original gray image according to an analysis result.
3. The image transmission processing method according to claim 1, wherein the server receives an original grayscale image transmitted by a wireless camera pen, and comprises:
receiving a plurality of data packets with numbers sent by a wireless camera pen;
and performing data splicing on the received data packets according to the serial numbers to obtain an original gray image.
4. The image transmission processing method according to claim 1, wherein the server calculates a threshold dynamic range from the original grayscale image, including:
step 2.1, calculating a threshold t1 by using a gray average value method:
wherein h (g) is the number of pixels with gray level g in the original gray image;
step 2.2, calculating a threshold t2 by adopting an iterative optimal threshold method:
step 2.2.1, setting the initial value of k as 1;
step 2.2.2, obtaining the maximum gray value g in the original gray imagelAnd the minimum gray value ghCalculating an initial threshold value Tk-1：
Step 2.2.3, according to threshold value Tk-1Dividing the original gray level image into foreground and background, respectively calculating average gray level A of foreground and backgroundbAnd Af：
Step 2.2.4, calculate
If Tk＝Tk-1If the threshold T2 is equal to Tk(ii) a Otherwise, k is k +1, and step 2.2.3 is executed again;
and 2.3, presetting the adjustment quantity of the threshold value range to be delta t, and obtaining threshold value dynamic ranges of (t 1-delta t, t1+ delta t) and (t 2-delta t, t2+ delta t).
5. The image transmission processing method according to claim 1, wherein the compressed data is obtained by compressing a binarized image by a wireless camera pen, and comprises:
the wireless camera pen compresses a binary image through an improved RLE compression algorithm, wherein the improved RLE compression algorithm adopts a single byte to represent pixel information and length information of a single pixel;
the 7 th bit of each byte represents pixel information, the seventh bit is 1 to represent that the pixel is a white point, and the seventh bit is 0 to represent that the pixel is a black point; bits 0 to 6 of each of the bytes represent length information.
6. The image transmission processing method according to claim 1, wherein the image levels include blur, general sharpness, sharpness;
the threshold deviation information comprises deviation direction and deviation level, the deviation direction comprises large deviation and small deviation, and the deviation level comprises large deviation, small deviation and small deviation.
7. An image transmission processing system comprising a server and a wireless camera pen, the server comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the image transmission processing method according to any one of claims 1 to 6 when executing the computer program.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101727582A (en) * | 2008-10-22 | 2010-06-09 | 富士通株式会社 | Method and device for binarizing document images and document image processor |
| JP2012039189A (en) * | 2010-08-03 | 2012-02-23 | Fuji Xerox Co Ltd | Binarization processing device, image processing device, binarization processing program, and image processing program |
| CN103400157A (en) * | 2013-07-23 | 2013-11-20 | 青岛海信网络科技股份有限公司 | Road pedestrian and non-motor vehicle detection method based on video analysis |
| CN103955940A (en) * | 2014-05-16 | 2014-07-30 | 天津重方科技有限公司 | Method based on X-ray back scattering image and for detecting objects hidden in human body |
| CN106841229A (en) * | 2016-12-20 | 2017-06-13 | 浙江工业大学 | A kind of online PE bottles of detection method of bottle sealing defect based on machine vision |
-
2019
- 2019-11-27 CN CN201911184190.6A patent/CN111182173B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101727582A (en) * | 2008-10-22 | 2010-06-09 | 富士通株式会社 | Method and device for binarizing document images and document image processor |
| JP2012039189A (en) * | 2010-08-03 | 2012-02-23 | Fuji Xerox Co Ltd | Binarization processing device, image processing device, binarization processing program, and image processing program |
| CN103400157A (en) * | 2013-07-23 | 2013-11-20 | 青岛海信网络科技股份有限公司 | Road pedestrian and non-motor vehicle detection method based on video analysis |
| CN103955940A (en) * | 2014-05-16 | 2014-07-30 | 天津重方科技有限公司 | Method based on X-ray back scattering image and for detecting objects hidden in human body |
| CN106841229A (en) * | 2016-12-20 | 2017-06-13 | 浙江工业大学 | A kind of online PE bottles of detection method of bottle sealing defect based on machine vision |
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