Image display system using wireless download

Abstract

The present invention relates to an image display system utilizing wireless downloading, comprising: a wireless downloading device, arranged at a smart agriculture server end, for downloading corresponding farmland remote sensing images from remote sensing satellites based on the positioning data interval corresponding to the monitored farmland; a quantity analysis mechanism, for obtaining the numbers of various noise types respectively obtained by various filtering algorithms respectively input into an AI intelligent judgment model, and using the filtering algorithm corresponding to the minimum number of noise types as the optimal filtering algorithm for the filtered sharpened image. The image display system utilizing wireless downloading of the present invention has stable operation and intelligent design. Since it is possible to obtain the numbers of various noise types respectively obtained by various filtering algorithms respectively input into an AI intelligent judgment model, the filtering algorithm corresponding to the minimum number of noise types is used as the optimal filtering algorithm for the filtered sharpened image to perform filtering processing on the filtered sharpened image, thereby achieving the best filtering effect for the image quality of each frame of the displayed image.

Description

Technical Field

[0001] The present invention relates to the field of image processing, and in particular to an image display system utilizing wireless downloading. Background Art

[0002] Remote sensing images can be used to obtain local wide-area acquisition images in a remote visual data acquisition mode. Remote sensing images processed by computers must be digital images. Analog images acquired by photography must be converted to digital by image scanners, etc.; digital data acquired by scanning must be transferred to general carriers such as CCT that can be read by general digital computers. Computer image processing must be performed in an image processing system. The image processing system is composed of hardware and software. Image processing mainly includes correction, transformation and classification.

[0003] However, when downloading farmland remote sensing images that match the positioning data interval corresponding to the monitored farmland from remote sensing satellites, the content of each frame of video acquired at different times is different, and the filtering algorithms required to obtain the best image quality are also different. How to match the optimal filtering algorithm for different video content is one of the technical problems that need to be solved at present. Summary of the invention

[0004] In order to solve the technical problems in related fields, the present invention provides an image display system using wireless download, which can reference a quantity analysis mechanism to obtain the number of each noise type obtained by various filtering algorithms respectively input into an AI intelligent judgment model, and use the filtering algorithm corresponding to the minimum number of noise types as the optimal filtering algorithm for the filtered sharpened image to perform filtering processing on the filtered sharpened image to obtain the final display image displayed on the monitoring display screen of the smart agriculture server, so that the picture quality of each frame of the display image achieves the best filtering effect.

[0005] According to the present invention, there is provided an image display system utilizing wireless downloading, the system comprising:

[0006] A wireless downloading device is provided at the smart agriculture server end, and is used to download farmland remote sensing images matching the positioning data interval from a remote sensing satellite based on the positioning data interval corresponding to the monitored farmland;

[0007] A sharpening processing device, which is arranged on the smart agriculture server side and connected to the wireless download device, is used to perform geometric mean filtering on the received farmland remote sensing image to obtain and output a corresponding sharpening processed image;

[0008] An exponential enhancement device, connected to the sharpening processing device, for performing image content enhancement processing based on exponential transformation on the received sharpening processed image to obtain and output a corresponding exponentially enhanced image;

[0009] A filtering and sharpening device, connected to the exponential enhancement device, for performing a high-pass filtering and sharpening process on the received exponential enhancement image to obtain and output a corresponding filtering and sharpening image;

[0010] An intelligent judgment mechanism is arranged at the smart agriculture server end and connected to the filter sharpening device, and is used to determine whether each pixel point in the received filter sharpened image is an edge pixel point based on the pixel value gradient of each pixel point, and synchronously input each brightness value corresponding to each edge pixel point in the filter sharpened image, the total number of edge pixels in the filter sharpened image, the contrast of the filter sharpened image, the number of pixels in the filter sharpened image, and the binary representation value of the target filtering algorithm into the AI ​​intelligent judgment model, and run the AI ​​intelligent judgment model to obtain the number of noise types of the picture obtained after the filter sharpened image is filtered using the target filtering algorithm, and the AI ​​intelligent judgment model is a radial basis neural network after each learning, and the number of learning is positively correlated with the content complexity of the filter sharpened image;

[0011] A quantity analysis mechanism is connected to the intelligent judgment mechanism, and is used to obtain the number of each noise type obtained by inputting various filtering algorithms into the AI ​​intelligent judgment model, and use the filtering algorithm corresponding to the minimum number of noise types as the optimal filtering algorithm of the filtered sharpened image to perform filtering processing on the filtered sharpened image to obtain a final display image displayed on the monitoring display screen of the smart agriculture server end;

[0012] Among them, various filtering algorithms include statistical sorting filtering algorithm, maximum filtering algorithm, minimum filtering algorithm, midpoint filtering algorithm, alpha mean filtering algorithm, adaptive filtering algorithm, bilateral filtering algorithm, guided filtering algorithm and box filtering algorithm.

[0013] Therefore, the present invention has the following outstanding technical effects:

[0014] First: based on the pixel value gradient of each pixel point, determine whether each pixel point in the filtered sharpened image obtained after performing targeted optimization processing on the farmland remote sensing image corresponding to the monitored farmland is an edge pixel point, and obtain the brightness values ​​corresponding to each edge pixel point in the filtered sharpened image, the total number of edge pixels in the filtered sharpened image, the contrast of the filtered sharpened image, the number of pixels in the filtered sharpened image, and the binary representation value of the target filtering algorithm, so as to provide key information for the targeted analysis of the filtering effect of each filtering algorithm on the filtered sharpened image;

[0015] Second: input each brightness value corresponding to each edge pixel point in the filtered sharpened image, the total number of edge pixels in the filtered sharpened image, the contrast of the filtered sharpened image, the number of pixels in the filtered sharpened image, and the binary representation value of the target filtering algorithm into the AI ​​intelligent judgment model synchronously, and run the AI ​​intelligent judgment model to obtain the number of noise types of the picture obtained after the filtered sharpened image is filtered using the target filtering algorithm. The AI ​​intelligent judgment model is a radial basis neural network after each learning, and the number of learning times is monotonically positively correlated with the content complexity of the filtered sharpened image, thereby realizing targeted analysis of the filtering effect of each filtering algorithm on the filtered sharpened image;

[0016] Third: The reference quantity analysis mechanism is used to obtain the number of noise types obtained by various filtering algorithms respectively input into the AI ​​intelligent judgment model, and the filtering algorithm corresponding to the minimum number of noise types is used as the optimal filtering algorithm for the filtered sharpened image to perform filtering processing on the filtered sharpened image to obtain the final display image displayed on the monitoring display screen of the smart agriculture server, so that the picture quality of each frame of the display image achieves the best filtering effect.

[0017] The image display system using wireless downloading of the present invention is stable in operation and intelligent in design. Since the number of noise types obtained by various filtering algorithms respectively input into the AI ​​intelligent judgment model can be obtained, the filtering algorithm corresponding to the minimum number of noise types is used as the optimal filtering algorithm for filtering and sharpening the image to perform filtering processing on the filtered and sharpened image, so that the image quality of each frame of the displayed image achieves the best filtering effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The embodiments of the present invention will be described below with reference to the accompanying drawings, wherein:

[0019] Figure 1 FIG. 1 is a structural block diagram of an image display system using wireless downloading according to Embodiment 1 of the present invention.

[0020] Figure 2 FIG. 1 is a structural block diagram of an image display system using wireless downloading according to Embodiment 2 of the present invention.

[0021] Figure 3 FIG. 4 is a structural block diagram of an image display system using wireless downloading according to Embodiment 3 of the present invention. DETAILED DESCRIPTION

[0022] The following will describe in detail an embodiment of the image display system utilizing wireless downloading of the present invention with reference to the accompanying drawings.

[0023] Figure 1The structure block diagram of the image display system using wireless downloading according to the first embodiment of the present invention is shown, and the system includes:

[0024] A wireless downloading device is provided at the smart agriculture server end, and is used to download farmland remote sensing images matching the positioning data interval from a remote sensing satellite based on the positioning data interval corresponding to the monitored farmland;

[0025] Specifically, the wireless download device is arranged at the smart agriculture server end, and is used to download the farmland remote sensing image matching the positioning data interval from the remote sensing satellite based on the positioning data interval corresponding to the monitored farmland, including: the smart agriculture server is a big data server or a blockchain server;

[0026] A sharpening processing device, which is arranged on the smart agriculture server side and connected to the wireless download device, is used to perform geometric mean filtering on the received farmland remote sensing image to obtain and output a corresponding sharpening processed image;

[0027] An exponential enhancement device, connected to the sharpening processing device, for performing image content enhancement processing based on exponential transformation on the received sharpening processed image to obtain and output a corresponding exponentially enhanced image;

[0028] A filtering and sharpening device, connected to the exponential enhancement device, for performing a high-pass filtering and sharpening process on the received exponential enhancement image to obtain and output a corresponding filtering and sharpening image;

[0029] An intelligent judgment mechanism is arranged at the smart agriculture server end and connected to the filter sharpening device, and is used to determine whether each pixel point in the received filter sharpened image is an edge pixel point based on the pixel value gradient of each pixel point, and synchronously input each brightness value corresponding to each edge pixel point in the filter sharpened image, the total number of edge pixels in the filter sharpened image, the contrast of the filter sharpened image, the number of pixels in the filter sharpened image, and the binary representation value of the target filtering algorithm into the AI ​​intelligent judgment model, and run the AI ​​intelligent judgment model to obtain the number of noise types of the picture obtained after the filter sharpened image is filtered using the target filtering algorithm, and the AI ​​intelligent judgment model is a radial basis neural network after each learning, and the number of learning is positively correlated with the content complexity of the filter sharpened image;

[0030] A quantity analysis mechanism is connected to the intelligent judgment mechanism, and is used to obtain the number of each noise type obtained by inputting various filtering algorithms into the AI ​​intelligent judgment model, and use the filtering algorithm corresponding to the minimum number of noise types as the optimal filtering algorithm of the filtered sharpened image to perform filtering processing on the filtered sharpened image to obtain a final display image displayed on the monitoring display screen of the smart agriculture server end;

[0031] Among them, various filtering algorithms include statistical sorting filtering algorithm, maximum filtering algorithm, minimum filtering algorithm, midpoint filtering algorithm, alpha mean filtering algorithm, adaptive filtering algorithm, bilateral filtering algorithm, guided filtering algorithm and box filtering algorithm;

[0032] The wireless download device is arranged at the smart agriculture server end, and is used to download farmland remote sensing images matching the positioning data interval from the remote sensing satellite based on the positioning data interval corresponding to the monitored farmland, including: the positioning data interval corresponding to the monitored farmland is the Beidou navigation data distribution interval corresponding to the monitored farmland;

[0033] Among them, the wireless downloading device is set on the smart agriculture server side, and is used to download the farmland remote sensing image matching the positioning data interval from the remote sensing satellite based on the positioning data interval corresponding to the monitored farmland. It also includes: the wireless downloading device downloads the farmland remote sensing image matching the positioning data interval from the remote sensing satellite based on a two-way wireless communication link.

[0034] Figure 2 FIG. 1 is a structural block diagram of an image display system using wireless downloading according to Embodiment 2 of the present invention.

[0035] Compared to Figure 1 , Figure 2 The image display system utilizing wireless downloading may further include:

[0036] A voltage supply interface, connected to the clarity processing device, the index enhancement device, the filter sharpening device and the intelligent judgment mechanism, respectively, for providing the clarity processing device, the index enhancement device, the filter sharpening device and the intelligent judgment mechanism with the required working voltages respectively;

[0037] The voltage supply interface is respectively connected to the clarity processing device, the index enhancement device, the filter sharpening device and the intelligent judgment mechanism, and is used to provide the clarity processing device, the index enhancement device, the filter sharpening device and the intelligent judgment mechanism with the required working voltages respectively, including: the required working voltages of the clarity processing device, the index enhancement device, the filter sharpening device and the intelligent judgment mechanism respectively include 3.3 volts and 5 volts;

[0038] The voltage supply interface is connected to the clarity processing device, the index enhancement device, the filter sharpening device and the intelligent judgment mechanism respectively, and is used to provide the clarity processing device, the index enhancement device, the filter sharpening device and the intelligent judgment mechanism with the required working voltages respectively, and further includes: the clarity processing device, the index enhancement device, the filter sharpening device and the intelligent judgment mechanism are arranged around the voltage supply interface and are isolated from the voltage supply interface by different electromagnetic shielding mechanisms respectively;

[0039] The clarity processing device, the index enhancement device, the filter sharpening device and the intelligent judgment mechanism are arranged around the voltage supply interface and are isolated from the voltage supply interface by using different electromagnetic shielding mechanisms respectively, including: the distances from the different electromagnetic shielding mechanisms respectively used by the clarity processing device, the index enhancement device, the filter sharpening device and the intelligent judgment mechanism to the voltage supply interface are equal;

[0040] And wherein, the clarity processing device, the exponential enhancement device, the filter sharpening device and the intelligent judgment mechanism are arranged around the voltage supply interface and are isolated from the voltage supply interface by different electromagnetic shielding mechanisms respectively, and also includes: the internal structures of the different electromagnetic shielding mechanisms respectively used by the clarity processing device, the exponential enhancement device, the filter sharpening device and the intelligent judgment mechanism are the same.

[0041] Figure 3 FIG. 4 is a structural block diagram of an image display system using wireless downloading according to Embodiment 3 of the present invention.

[0042] Compared to Figure 1 , Figure 3 The image display system utilizing wireless downloading may further include:

[0043] A radiation sensing device, connected to the clarity processing device, the index enhancement device, the filter sharpening device and the intelligent judgment mechanism, respectively, for providing the clarity processing device, the index enhancement device, the filter sharpening device and the intelligent judgment mechanism with respective numerical sensing operations of real-time electromagnetic radiation amounts;

[0044] The radiation sensing device is connected to the clarity processing device, the index enhancement device, the filter sharpening device and the intelligent judgment mechanism respectively, and is used to provide the clarity processing device, the index enhancement device, the filter sharpening device and the intelligent judgment mechanism with respective numerical sensing operations of real-time electromagnetic radiation quantities, including: the radiation sensing device includes a plurality of radiation sensing units, which are used to provide the clarity processing device, the index enhancement device, the filter sharpening device and the intelligent judgment mechanism with respective numerical sensing operations of real-time electromagnetic radiation quantities;

[0045] The radiation sensing device includes a plurality of radiation sensing units, which are used to respectively provide the clarity processing device, the index enhancement device, the filter sharpening device and the intelligent judgment mechanism with respective numerical sensing operations of real-time electromagnetic radiation quantities, including: the internal structures of the plurality of radiation sensing units are the same;

[0046] And wherein, the radiation sensing device includes a plurality of radiation sensing units, which are used to provide respective numerical sensing operations of real-time electromagnetic radiation quantities for the clarity processing device, the exponential enhancement device, the filtering sharpening device and the intelligent judgment mechanism, respectively, including: the plurality of radiation sensing units are respectively equipped with respective radiation alarm components.

[0047] In addition, in the image display system using wireless download, the brightness values ​​corresponding to the edge pixels in the filtered sharpened image, the total number of edge pixels in the filtered sharpened image, the contrast of the filtered sharpened image, the number of pixels in the filtered sharpened image, and the binary representation value of the target filtering algorithm are synchronously input into the AI ​​intelligent judgment model, and the AI ​​intelligent judgment model is run to obtain the number of noise types of the picture obtained after the filtered sharpened image is filtered using the target filtering algorithm, including: using MATLAB toolbox to simulate the data processing process of synchronously inputting the brightness values ​​corresponding to the edge pixels in the filtered sharpened image, the total number of edge pixels in the filtered sharpened image, the contrast of the filtered sharpened image, the number of pixels in the filtered sharpened image, and the binary representation value of the target filtering algorithm into the AI ​​intelligent judgment model, and running the AI ​​intelligent judgment model to obtain the number of noise types of the picture obtained after the filtered sharpened image is filtered using the target filtering algorithm.

[0048] Although preferred embodiments of the present invention have been described in detail above, it will be appreciated that numerous variations and / or modifications to the basic inventive concepts taught herein will be apparent to those skilled in the art and fall within the spirit and scope of the invention as defined by the appended claims.

Claims

1. An image display system utilizing wireless downloading, characterized in that: The system comprises: A wireless downloading device is provided at the smart agriculture server end, and is used to download farmland remote sensing images matching the positioning data interval from a remote sensing satellite based on the positioning data interval corresponding to the monitored farmland; A sharpening processing device, which is arranged on the smart agriculture server side and connected to the wireless download device, is used to perform geometric mean filtering on the received farmland remote sensing image to obtain and output a corresponding sharpening processed image; An exponential enhancement device, connected to the sharpening processing device, for performing image content enhancement processing based on exponential transformation on the received sharpening processed image to obtain and output a corresponding exponentially enhanced image; A filtering and sharpening device, connected to the exponential enhancement device, for performing a high-pass filtering and sharpening process on the received exponential enhancement image to obtain and output a corresponding filtering and sharpening image; An intelligent judgment mechanism is arranged at the smart agriculture server end and connected to the filter sharpening device, and is used to determine whether each pixel point in the received filter sharpened image is an edge pixel point based on the pixel value gradient of each pixel point, and synchronously input each brightness value corresponding to each edge pixel point in the filter sharpened image, the total number of edge pixels in the filter sharpened image, the contrast of the filter sharpened image, the number of pixels in the filter sharpened image, and the binary representation value of the target filtering algorithm into the AI ​​intelligent judgment model, and run the AI ​​intelligent judgment model to obtain the number of noise types of the picture obtained after the filter sharpened image is filtered using the target filtering algorithm, and the AI ​​intelligent judgment model is a radial basis neural network after each learning, and the number of learning is positively correlated with the content complexity of the filter sharpened image; A quantity analysis mechanism is connected to the intelligent judgment mechanism, and is used to obtain the number of each noise type obtained by inputting various filtering algorithms into the AI ​​intelligent judgment model, and use the filtering algorithm corresponding to the minimum number of noise types as the optimal filtering algorithm of the filtered sharpened image to perform filtering processing on the filtered sharpened image to obtain a final display image displayed on the monitoring display screen of the smart agriculture server end; Among them, various filtering algorithms include statistical sorting filtering algorithm, maximum filtering algorithm, minimum filtering algorithm, midpoint filtering algorithm, alpha mean filtering algorithm, adaptive filtering algorithm, bilateral filtering algorithm, guided filtering algorithm and box filtering algorithm.

2. The image display system using wireless downloading as claimed in claim 1, characterized in that: The wireless download device is arranged at the smart agriculture server end, and is used to download the farmland remote sensing image matching the positioning data interval from the remote sensing satellite based on the positioning data interval corresponding to the monitored farmland, including: the positioning data interval corresponding to the monitored farmland is the Beidou navigation data distribution interval corresponding to the monitored farmland; Among them, the wireless downloading device is set on the smart agriculture server side, and is used to download the farmland remote sensing image matching the positioning data interval from the remote sensing satellite based on the positioning data interval corresponding to the monitored farmland. It also includes: the wireless downloading device downloads the farmland remote sensing image matching the positioning data interval from the remote sensing satellite based on a two-way wireless communication link.

3. The image display system using wireless downloading as claimed in claim 2, characterized in that: The system further comprises: A voltage supply interface, connected to the clarity processing device, the index enhancement device, the filter sharpening device and the intelligent judgment mechanism, respectively, for providing the clarity processing device, the index enhancement device, the filter sharpening device and the intelligent judgment mechanism with the required working voltages respectively; Among them, the voltage supply interface is respectively connected to the clarity processing device, the exponential enhancement device, the filter sharpening device and the intelligent judgment mechanism, and is used to provide the clarity processing device, the exponential enhancement device, the filter sharpening device and the intelligent judgment mechanism with the required working voltages respectively, including: the working voltages required by the clarity processing device, the exponential enhancement device, the filter sharpening device and the intelligent judgment mechanism respectively include 3.3 volts and 5 volts.

4. The image display system using wireless downloading as claimed in claim 3, characterized in that: A voltage supply interface is respectively connected to the clarity processing device, the exponential enhancement device, the filter sharpening device and the intelligent judgment mechanism, and is used to provide the clarity processing device, the exponential enhancement device, the filter sharpening device and the intelligent judgment mechanism with their respective required working voltages. The clarity processing device, the exponential enhancement device, the filter sharpening device and the intelligent judgment mechanism are also configured around the voltage supply interface and are isolated from the voltage supply interface by different electromagnetic shielding mechanisms.

5. The image display system using wireless downloading as claimed in claim 4, characterized in that: The clarity processing device, the exponential enhancement device, the filtering and sharpening device and the intelligent judgment mechanism are arranged around the voltage supply interface and are isolated from the voltage supply interface by using different electromagnetic shielding mechanisms respectively, including: the distances from the different electromagnetic shielding mechanisms respectively used by the clarity processing device, the exponential enhancement device, the filtering and sharpening device and the intelligent judgment mechanism to the voltage supply interface are equal.

6. The image display system using wireless downloading as claimed in claim 4, characterized in that: The clarity processing device, the exponential enhancement device, the filtering and sharpening device and the intelligent judgment mechanism are arranged around the voltage supply interface and are isolated from the voltage supply interface by different electromagnetic shielding mechanisms respectively. It also includes: the internal structures of the different electromagnetic shielding mechanisms respectively used by the clarity processing device, the exponential enhancement device, the filtering and sharpening device and the intelligent judgment mechanism are the same.

7. The image display system using wireless downloading as claimed in claim 2, characterized in that: The system further comprises: A radiation sensing device, connected to the clarity processing device, the index enhancement device, the filter sharpening device and the intelligent judgment mechanism, respectively, for providing the clarity processing device, the index enhancement device, the filter sharpening device and the intelligent judgment mechanism with respective numerical sensing operations of real-time electromagnetic radiation amounts; Among them, the radiation sensing device is respectively connected to the clarity processing device, the exponential enhancement device, the filter sharpening device and the intelligent judgment mechanism, and is used to provide the clarity processing device, the exponential enhancement device, the filter sharpening device and the intelligent judgment mechanism with respective numerical sensing operations of real-time electromagnetic radiation quantities, including: the radiation sensing device includes multiple radiation sensing units, which are used to provide the clarity processing device, the exponential enhancement device, the filter sharpening device and the intelligent judgment mechanism with respective numerical sensing operations of real-time electromagnetic radiation quantities.

8. The image display system using wireless downloading as claimed in claim 7, characterized in that: The radiation sensing device includes a plurality of radiation sensing units, which are used to provide the clarity processing device, the exponential enhancement device, the filtering and sharpening device and the intelligent judgment mechanism with respective numerical sensing operations of real-time electromagnetic radiation quantities, including: the internal structures of the plurality of radiation sensing units are the same.

9. The image display system using wireless downloading as claimed in claim 7, characterized in that: The radiation sensing device includes a plurality of radiation sensing units, which are used to provide the clarity processing device, the index enhancement device, the filter sharpening device and the intelligent judgment mechanism with respective numerical sensing operations of real-time electromagnetic radiation quantities, including: the plurality of radiation sensing units are respectively equipped with respective radiation alarm components.

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