Image processing method for LED

Abstract

The invention belongs to the technical field of image processing, particularly relates to an image processing method for an LED, and provides the following scheme for solving the problems that in the existing image processing process, LED temperature and illumination factors are inconvenient to collect, analyze and process, so that the LED is easily influenced by the external environment, and the accuracy and authenticity of image display are reduced. The method comprises the following steps that S1, an image processing system is prepared, the image processing system comprises an image acquisition module, the image acquisition module is connected with an image division module, the image division module is connected with a broadband acquisition module and an image processing module, the image processing module is connected with an image generation module and a partition processing module, and the image generation module and the partition processing module are connected with the broadband acquisition module; in the image processing process, the LED temperature and illumination factors can be conveniently collected, analyzed and processed, so that the LED is prevented from being easily influenced by the external environment, and the accuracy and authenticity of image display are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of image processing, and in particular to an image processing method for LED. Background Art

[0002] LED display screens have advantages such as high grayscale, wide viewing angle, rich colors and customizable screen shape. Therefore, LED display screens are widely used in various fields such as industry, transportation, commercial advertising, information release, sports competitions, etc. Compared with LCD monitors, the pixel components of LED display screens are different. The pixel components used in LED display screens are LEDs, and the pixel pitch is larger. Image processing is the key technology for displaying images on electronic display screens (such as LEDs).

[0003] In the prior art, it is not convenient to collect, analyze and process LED temperature and light factors during image processing, which makes the LED easily affected by the external environment, reducing the accuracy and authenticity of the image display. To this end, we propose an image processing method for LED to solve the above problems. Summary of the invention

[0004] The purpose of the present invention is to solve the problem that in the prior art, it is inconvenient to collect, analyze and process LED temperature and light factors during image processing, which makes the LED easily affected by the external environment and reduces the accuracy and authenticity of the image display, and proposes an image processing method for LED.

[0005] The present application provides an image processing method for LEDs using the following technical solution:

[0006] An image processing method for LEDs comprises the following steps:

[0007] S1: Prepare an image processing system, which includes an image acquisition module, the image acquisition module is connected to an image division module, the image division module is connected to a broadband acquisition module and an image processing module, the image processing module is connected to an image generation module and a partition processing module, the image generation module is connected to the partition processing module, the image generation module is connected to a format conversion module, the format conversion module is connected to a data transmission module, the data transmission module is connected to a display module, the display module is connected to a control module, the display module is connected to a light monitoring module and a temperature monitoring module, the temperature monitoring module is connected to a first analysis module, the first analysis module is connected to a compensation module, the compensation module is connected to the control module, the light monitoring module is connected to a second analysis module, the second analysis module is connected to an adjustment module, and the adjustment module is connected to the control module;

[0008] S2: The image data is collected by the image acquisition module. The broadband acquisition module can obtain the current network bandwidth, and then the collected image data is transmitted to the image division module. The image division module divides the image into spaces, and calculates and determines the display resolution of the sub-image according to the current network bandwidth and the image resolution, obtains the effective image data of the image, and then transmits the effective image data to the image processing module;

[0009] S3: The image processing module can be used to crop, rotate and apply filters to the image, as well as perform deformation correction and difference calculation on the image, and transmit the calculation results to the image generation module. The image generation module generates a display target image, and the image format can be converted through the format conversion module. Then, the generated image data is transmitted to the display module for display through the data transmission module;

[0010] S4: Finally, the temperature of the display module can be collected in real time through the temperature monitoring module, the collected temperature data can be analyzed through the first analysis module, and the display module temperature can be compensated through the compensation module based on the analysis results, the external light data can be collected through the light monitoring module, the second analysis module can analyze the collected light data, and the brightness of the display module can be automatically adjusted through the adjustment module according to the analysis results.

[0011] Furthermore, the partition processing module includes an image detection unit, an image segmentation unit and a transmission unit, the image detection unit is connected to the image segmentation unit, and the image segmentation unit is connected to the transmission unit.

[0012] Furthermore, the light monitoring module includes a light sensor unit, a second receiving unit and a second setting unit, the light sensor unit is connected to the second receiving unit, and the second receiving unit is connected to the second setting unit.

[0013] Furthermore, the format conversion module is used to convert the image format, and the image transmission module is used to transmit the converted image data.

[0014] Furthermore, the control module is used to control and adjust the display module, the adjustment module is used to send a brightness adjustment instruction to the control module, and the compensation module is used to send a temperature compensation instruction to the control module.

[0015] Furthermore, the temperature monitoring module is used to collect temperature data of the display module, and the light monitoring module is used to collect light data outside the display module.

[0016] Furthermore, the image processing module is used to perform cropping, rotation and filter operations on the image, as well as perform deformation correction and difference calculation on the image, and the image generation module generates a display target image based on the processed image data.

[0017] Furthermore, the partitioning module is used to perform segmentation processing on a large image, the image detection unit is used to detect the image size, the image segmentation unit performs segmentation according to the image size, and the transmission unit is used to transmit the segmented image data.

[0018] Further, the temperature monitoring module includes a temperature sensor unit, a first receiving unit and a first setting unit, the temperature sensor unit is connected to the first receiving unit, and the first receiving unit is connected to the first setting unit.

[0019] Furthermore, the image processing module includes an image editing unit, a deformation correction unit and a difference calculation unit, the image editing unit is connected to the deformation correction unit, and the deformation correction unit is connected to the difference calculation unit.

[0020] In summary, the present application includes at least one of the following beneficial technical effects:

[0021] 1. In this solution, the image acquisition module can acquire image data, the broadband acquisition module can acquire the current network bandwidth, and then transmit the acquired image data to the image segmentation module. The image segmentation module divides the image into spaces, and calculates and determines the display resolution of the sub-image according to the current network bandwidth and image resolution, and obtains the effective image data of the image;

[0022] 2. This solution can crop, rotate and apply filters to images through the image processing module, as well as perform deformation correction and difference calculation on images, and transmit the calculation results to the image generation module. The image generation module generates a display target image, and the format conversion module can convert the image format into a format supported by the display module;

[0023] 3. This solution can collect the temperature of the display module in real time through the temperature monitoring module, analyze the collected temperature data through the first analysis module, and compensate the display module temperature through the compensation module based on the analysis results. The external light data can be collected through the light monitoring module, and the second analysis module can analyze the collected light data. According to the analysis results, the brightness of the display module can be automatically adjusted through the adjustment module.

[0024] The present invention can facilitate the collection, analysis and processing of LED temperature and light factors during the image processing process, thereby preventing the LED from being easily affected by the external environment and improving the accuracy and authenticity of image display. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 A structural block diagram of an image processing system for an image processing method for LEDs proposed by the present invention;

[0026] Figure 2 This is a structural block diagram of an image processing module of an image processing method for LED proposed by the present invention;

[0027] Figure 3 A structural block diagram of a partition processing module of an image processing method for LED proposed by the present invention;

[0028] Figure 4 This is a structural block diagram of a temperature monitoring module of an image processing method for LED proposed by the present invention;

[0029] Figure 5 This is a structural block diagram of a light monitoring module of an image processing method for LEDs proposed by the present invention. DETAILED DESCRIPTION

[0030] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0031] Embodiment 1

[0032] Reference Figure 1-Figure 5 , an image processing method for LED, comprising the following steps:

[0033] S1: Prepare an image processing system, the image processing system includes an image acquisition module, the image acquisition module is connected to an image segmentation module, the image segmentation module is connected to a broadband acquisition module and an image processing module, the image processing module is connected to an image generation module and a partition processing module, the image generation module is connected to the partition processing module, the image generation module is connected to a format conversion module, the format conversion module is connected to a data transmission module, the data transmission module is connected to a display module, the display module is connected to a control module, the display module is connected to a light monitoring module and a temperature monitoring module, the temperature monitoring module is connected to a first analysis module, the first analysis module is connected to a compensation module, the compensation module is connected to the control module, the light monitoring module is connected to a second analysis module, the second analysis module is connected to an adjustment module, the adjustment module is connected to the control module, the partition processing module includes an image detection unit, an image segmentation unit and a transmission unit, the image detection unit is connected to the image segmentation unit, the image segmentation unit is connected to the transmission unit, the format conversion module is used to convert the image format, the image transmission module is used to transmit the converted image data, the control module is used to control and adjust the display module, the adjustment module is used to send a brightness adjustment instruction to the control module, and the compensation module is used to send a temperature compensation instruction to the control module;

[0034] S2: The image data is collected by the image acquisition module. The broadband acquisition module can obtain the current network bandwidth, and then the collected image data is transmitted to the image division module. The image division module divides the image into spaces, and calculates and determines the display resolution of the sub-image according to the current network bandwidth and the image resolution, obtains the effective image data of the image, and then transmits the effective image data to the image processing module;

[0035] S3: The image processing module can be used to crop, rotate and apply filters to the image, as well as perform deformation correction and difference calculation on the image, and transmit the calculation results to the image generation module. The image generation module generates a display target image, and the image format can be converted through the format conversion module. Then, the generated image data is transmitted to the display module for display through the data transmission module;

[0036] S4: Finally, the temperature of the display module can be collected in real time through the temperature monitoring module, the collected temperature data can be analyzed through the first analysis module, and the display module temperature can be compensated through the compensation module based on the analysis results, the external light data can be collected through the light monitoring module, the second analysis module can analyze the collected light data, and the brightness of the display module can be automatically adjusted through the adjustment module according to the analysis results.

[0037] Reference Figure 2 The image processing module is used to crop, rotate and apply filters to the image, as well as perform deformation correction and difference calculation on the image. The image generation module generates a display target image based on the processed image data. The image processing module includes an image editing unit, a deformation correction unit and a difference calculation unit. The image editing unit is connected to the deformation correction unit, and the deformation correction unit is connected to the difference calculation unit.

[0038] Reference Figure 3 The partitioning module is used to perform segmentation processing on a large image, the image detection unit is used to detect the image size, the image segmentation unit is used to segment the image according to the image size, and the transmission unit is used to transmit the segmented image data.

[0039] Reference Figure 4 and Figure 5The temperature monitoring module includes a temperature sensor unit, a first receiving unit and a first setting unit. The temperature sensor unit is connected to the first receiving unit, and the first receiving unit is connected to the first setting unit. The temperature monitoring module is used to collect temperature data of the display module. The light monitoring module is used to collect light data outside the display module. The light monitoring module includes a light sensor unit, a second receiving unit and a second setting unit. The light sensor unit is connected to the second receiving unit, and the second receiving unit is connected to the second setting unit. The adjustment module adopts a gray world algorithm, and the compensation module adopts a gamma correction curve algorithm.

[0040] Gamma correction curve algorithm:

[0041] Gamma correction curve algorithm is a nonlinear operation or inverse operation, which is mainly used to adjust the brightness of the image. Its formula can be expressed as I = IγI = I^{\gamma}I = Iγ, where III is the input or output pixel value, and γ\gammaγ is the Gamma value. This formula reflects the relationship between the image brightness and the input voltage. By adjusting the value of γ\gammaγ, the brightness and contrast of the image can be changed, thereby optimizing the visual effect of the image; when γ>1\gamma>1γ>1, the dynamic range of the highlight part is compressed, while the dynamic range of the low light part is expanded, which helps to see the details of the low light part, but the image will become darker overall; when γ<1\gamma<1γ<1, the highlight part is expanded, the low light part is compressed, and the image will become brighter overall; the purpose of Gamma correction is to compensate for the nonlinear characteristics of the human eye's perception of light, so that the image on the display device is more in line with the visual characteristics of the human eye. In addition, through Gamma correction, the image brightness information can be saved more effectively, avoiding information loss or space waste during storage and transmission; Gamma correction can be implemented through the power law formula, where γ\gammaγ is a constant, usually 1; after Gamma correction, the grayscale value relationship between the input and output images presents an exponential relationship, which helps to improve the overall visual effect of the image, especially when displaying dark details and bright details;

[0042] Gray World Algorithm:

[0043] The Gray World Algorithm is an image processing algorithm based on the assumption that for an image with a lot of color changes, the average values ​​of its RGB components tend to the same gray value. The purpose of this algorithm is to eliminate the influence of ambient light from the image to obtain the color of the original scene image. Specifically, the Gray World Algorithm calculates the average value of the three RGB components of the image to determine a gray value, and then uses this gray value to adjust the pixel value of the image so that the image maintains consistent color performance under different lighting conditions;

[0044] Algorithm principle: The grayscale world algorithm assumes that the average value of the average reflection of light by natural scenery is a constant value as a whole, and this constant value is approximately "gray". Therefore, the algorithm determines a grayscale value by calculating the average value of the three components of RGB in the image, and uses this grayscale value to adjust the pixel value of the image to eliminate the influence of ambient light.

[0045] Implementation method: There are two common methods to determine this grayscale value. One is to use a fixed value, such as 128 for an 8-bit image; the other is to calculate the average value of the three RGB components and use this average value as the basis for adjustment.

[0046] The implementation principle in this embodiment is as follows: when in use, the image data is collected by the image acquisition module, the broadband acquisition module can obtain the current network bandwidth, and then the collected image data is transmitted to the image division module, the image division module performs spatial division on the image, and calculates and determines the display resolution of the sub-image according to the current network bandwidth and the image resolution, obtains the effective image data of the image, and then transmits the effective image data to the image processing module, the image processing module can be cropped, rotated and filter-applied to the image, and the image can be deformed and corrected and the difference calculated, and the calculation result is transmitted to the image generation module, the image generation module generates a display target image, the image format can be converted by the format conversion module, and then the generated image data is transmitted to the display module for display by the data transmission module, finally, the temperature of the display module can be collected in real time by the temperature monitoring module, the collected temperature data can be analyzed by the first analysis module, and the temperature of the display module can be compensated by the compensation module according to the analysis result, the external light data can be collected by the light monitoring module, the collected light data can be analyzed by the second analysis module, and the brightness of the display module can be automatically adjusted by the adjustment module according to the analysis result.

[0047] Embodiment 2

[0048] The difference between this embodiment and the first embodiment is that the display module is connected to a heat dissipation module, and the heat dissipation module can be used to dissipate heat for the display module, thereby ensuring a good heat dissipation effect to prevent overheating from affecting the brightness and stability of the LED.

[0049] Embodiment 3

[0050] The difference between this embodiment and the second embodiment is that the display module is connected to a pixel density increasing module, through which the image pixel density can be adjusted. By increasing the pixel density and ensuring the use of high-quality pictures, the mosaic effect can be reduced and the fineness and clarity of the image can be improved.

[0051] Embodiment 4

[0052] The difference between this embodiment and the third embodiment is that the display module is connected to a dynamic adjustment module, which can dynamically adjust the resolution and refresh rate of the display module to make the image clearer and more stable.

[0053] Embodiment 5

[0054] The difference between this embodiment and the fourth embodiment is that the display module is connected to a color calibration module, and the color calibration module can perform regular color calibration on the display module to ensure the accuracy and consistency of the colors.

[0055] Experimental example

[0056] By comparing the image processing solutions proposed in Examples 1 to 5 with conventional image processing solutions, the experimental data are as follows:

[0057]

[0058] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. An image processing method for LED, characterized in that: The following steps are involved: S1: Prepare an image processing system, which includes an image acquisition module, the image acquisition module is connected to an image division module, the image division module is connected to a broadband acquisition module and an image processing module, the image processing module is connected to an image generation module and a partition processing module, the image generation module is connected to the partition processing module, the image generation module is connected to a format conversion module, the format conversion module is connected to a data transmission module, the data transmission module is connected to a display module, the display module is connected to a control module, the display module is connected to a light monitoring module and a temperature monitoring module, the temperature monitoring module is connected to a first analysis module, the first analysis module is connected to a compensation module, the compensation module is connected to the control module, the light monitoring module is connected to a second analysis module, the second analysis module is connected to an adjustment module, and the adjustment module is connected to the control module; S2: The image data is collected by the image acquisition module. The broadband acquisition module can obtain the current network bandwidth, and then the collected image data is transmitted to the image division module. The image division module divides the image into spaces, and calculates and determines the display resolution of the sub-image according to the current network bandwidth and the image resolution, obtains the effective image data of the image, and then transmits the effective image data to the image processing module; S3: The image processing module can be used to crop, rotate and apply filters to the image, as well as perform deformation correction and difference calculation on the image, and transmit the calculation results to the image generation module. The image generation module generates a display target image, and the image format can be converted through the format conversion module. Then, the generated image data is transmitted to the display module for display through the data transmission module; S4: Finally, the temperature of the display module can be collected in real time through the temperature monitoring module, the collected temperature data can be analyzed through the first analysis module, and the display module temperature can be compensated through the compensation module based on the analysis results, the external light data can be collected through the light monitoring module, the second analysis module can analyze the collected light data, and the brightness of the display module can be automatically adjusted through the adjustment module according to the analysis results.

2. The image processing method for LED according to claim 1, characterized in that: The image processing module comprises an image editing unit, a deformation correction unit and a difference calculation unit. The image editing unit is connected to the deformation correction unit, and the deformation correction unit is connected to the difference calculation unit.

3. The image processing method for LED according to claim 2, characterized in that: The partition processing module includes an image detection unit, an image segmentation unit and a transmission unit. The image detection unit is connected to the image segmentation unit, and the image segmentation unit is connected to the transmission unit.

4. The image processing method for LED according to claim 3, characterized in that: The temperature monitoring module includes a temperature sensor unit, a first receiving unit and a first setting unit. The temperature sensor unit is connected to the first receiving unit, and the first receiving unit is connected to the first setting unit.

5. The image processing method for LED according to claim 4, characterized in that: The light monitoring module includes a light sensor unit, a second receiving unit and a second setting unit. The light sensor unit is connected to the second receiving unit, and the second receiving unit is connected to the second setting unit.

6. The image processing method for LED according to claim 5, characterized in that: The partitioning module is used to perform segmentation processing on a large image, the image detection unit is used to detect the image size, the image segmentation unit performs segmentation according to the image size, and the transmission unit is used to transmit the segmented image data.

7. The image processing method for LED according to claim 6, characterized in that: The format conversion module is used to convert the image format, and the image transmission module is used to transmit the converted image data.

8. The image processing method for LED according to claim 7, characterized in that: The image processing module is used to perform cropping, rotation and filter application operations on the image, as well as deformation correction and difference calculation on the image. The image generation module generates a display target image based on the processed image data.

9. The image processing method for LED according to claim 8, characterized in that: The control module is used to control and adjust the display module, the adjustment module is used to send a brightness adjustment instruction to the control module, and the compensation module is used to send a temperature compensation instruction to the control module.

10. The image processing method for LED according to claim 9, characterized in that: The temperature monitoring module is used to collect temperature data of the display module, and the light monitoring module is used to collect light data outside the display module.

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