A multi-terminal encapsulation kernel empowerment method

Abstract

The present invention discloses a multi-terminal encapsulation kernel empowerment method, which relates to the field of display technology. It solves the technical problem in the prior art that the display differences of different display panels are not considered, resulting in color distortion during data transmission and display, and poor display effects. The present invention analyzes the original data to obtain feature data, compares the device data in the feature data with the device parameters of the display panel to determine whether processing is required. When the two are inconsistent, data processing and color correction are performed to ensure the display effect of the target data on the display terminal. In the present invention, when the display data needs to be color-adjusted, a color correction model is called. The relationship between the display effects of the generation terminal and the display terminal is mined through the color correction model to obtain the target gray-scale data, and the target gray-scale data is corrected by the color data to avoid color distortion.

Description

Technical Field

[0001] The present invention belongs to the field of display technology, relates to multi-terminal encapsulation kernel enabling technology, and specifically is a multi-terminal encapsulation kernel enabling method. Background Art

[0002] With the different display screen materials and technologies, various types of display screens have emerged on the market. These display screens display the received images or videos according to preset parameters. During data transmission or data conversion, there will be problems such as poor display effects and even compatibility issues.

[0003] The prior art (a patent for invention with application number 2017100140180) discloses a display driving system, its driving method, and a display device, which determine the bending area of the display panel and adjust the data in the bending area to ensure the normal display of the data in the bending area of the display panel. The prior art does not consider the display differences of different display panels, and there will be color distortion during data transmission and display, resulting in poor display effects. Therefore, there is an urgent need for a multi-terminal encapsulation kernel enabling method. Summary of the Invention

[0004] The present invention aims to solve at least one of the technical problems existing in the prior art. For this purpose, the present invention proposes a multi-terminal encapsulation kernel enabling method to solve the technical problem that the prior art does not consider the display differences of different display panels, and there will be color distortion during data transmission and display, resulting in poor display effects.

[0005] To achieve the above object, the first aspect of the present invention provides a multi-terminal encapsulation kernel enabling method, which runs based on a display control module. The display control module includes a receiving and parsing unit and an analyzing and converting unit, and the display control module is connected to a display panel.

[0006] The receiving and parsing unit receives the original data, obtains the feature data after parsing the original data, and sends the feature data to the analyzing and converting unit. Among them, the feature data includes device data, display data, and color data, and the device data includes aspect ratio, resolution, and color depth.

[0007] After receiving the feature data, the analyzing and converting unit extracts the device data and compares it with the device parameters of the display panel. When the two are inconsistent, data conversion and color adjustment are performed to obtain the target data, and the target data is displayed through the display panel. Among them, the data conversion includes format conversion and pixel conversion.

[0008] Preferably, the display control module is electrically connected to a plurality of the display panels, and the receiving and parsing unit and the analyzing and converting unit are communicatively and / or electrically connected.

[0009] The receiving and parsing unit receives the original data by wired or wireless means; the analysis and conversion unit processes the feature data and controls the display panel simultaneously.

[0010] Preferably, the analysis and conversion unit constructs a color correction model based on standard training data, including:

[0011] Obtain the standard training data; wherein, the standard training data includes device data, device parameters, test gray data, and optimal gray data;

[0012] Use the device data, device parameters, and test gray data as standard input data, and use the optimal gray data as standard output data to train and construct an artificial intelligence model; wherein, the artificial intelligence model includes a deep convolutional neural network model and an RBF neural network model;

[0013] Mark the trained artificial intelligence model as the color correction model and store the color correction model in the analysis and conversion unit.

[0014] Preferably, the analysis and conversion unit compares the device data and the device parameters corresponding to the display panel, including:

[0015] Receive and extract the device data in the feature data, and scan and obtain the device parameters of the display panel; wherein, the content attributes of the device data and the device parameters are the same;

[0016] When the device data and the device parameters are the same, directly send the feature data to the display panel for display; when they are different, obtain the target data through the feature data.

[0017] Preferably, when the device data and the device parameters are different, data processing and color adjustment are performed, including:

[0018] When the aspect ratio and resolution in the device data and the device parameters are the same, perform color adjustment; otherwise, perform data processing and then color adjustment;

[0019] Mark the display data after color adjustment as the target data.

[0020] Preferably, the analysis and conversion unit performs color adjustment on the feature data to obtain the target data, including:

[0021] Extract the device data and display data from the feature data for gray conversion, and simultaneously obtain the device parameters of the display panel;

[0022] Take the extracted device data, the grayscale data obtained through grayscale conversion, and the device parameters of the display panel as the model input data, and input the model input data into the color correction model to obtain the target grayscale data;

[0023] After verifying and adjusting the target grayscale data with the color data, obtain the target data.

[0024] Preferably, adjusting the target grayscale data based on the color data to obtain the target data includes:

[0025] Obtain the standard color curve corresponding to the display data through the color data;

[0026] Render the target grayscale data into the color format corresponding to the display panel, and obtain the corresponding rendered color curve; wherein, the color format includes RGB and CMYK;

[0027] When the similarity between the standard color curve and the rendered color curve is lower than the similarity threshold, adjust the target grayscale data with the standard color curve to obtain the target data; wherein, the similarity threshold is set according to actual experience.

[0028] Preferably, after the analysis and conversion unit obtains the target data, it sends the target data to the display panel and controls the display panel to display.

[0029] Compared with the prior art, the beneficial effects of the present invention are:

[0030] 1. The present invention parses the original data to obtain the feature data, compares the device data in the feature data with the device parameters of the display panel to determine whether processing is required. When the two are inconsistent, data processing and color correction are performed to ensure the display effect of the target data on the display terminal.

[0031] 2. When the display data needs to be color-adjusted in the present invention, the color correction model is called. The relationship between the display effects of the generation terminal and the display terminal is mined through the color correction model to obtain the target grayscale data, and the target grayscale data is corrected with the color data to avoid color distortion. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0033] Figure 1Schematic diagram of the working steps of the present invention;

[0034] Figure 2 Schematic diagram of the system principle of the present invention. Specific embodiments

[0035] The technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0036] Please refer to Figure 1 - Figure 2 , an embodiment of the first aspect of the present invention provides a multi-terminal encapsulation kernel empowerment method, which runs based on a display control module. The display control module includes a receiving and parsing unit and an analysis and conversion unit, and the display control module is connected to a display panel;

[0037] The receiving and parsing unit receives the original data, obtains the feature data after parsing the original data, and sends the feature data to the analysis and conversion unit; among them, the feature data includes device data, display data and color data, and the device data includes aspect ratio, resolution and color depth;

[0038] After receiving the feature data, the analysis and conversion unit extracts the device data and compares it with the device parameters of the display panel; when the two are inconsistent, data conversion and color adjustment are performed to obtain the target data, and the target data is displayed through the display panel; among them, the data conversion includes format conversion and pixel conversion.

[0039] The present invention is mainly applied to the problem that when the display panel receives video data or image data in multiple protocols or formats, it cannot be analyzed and converted, resulting in poor compatibility and poor display effect. In the present invention, the display control module is electrically connected to several display panels, and the receiving and parsing unit and the analysis and conversion unit are communicatively and / or electrically connected; the receiving and parsing unit receives the original data by wire or wirelessly; the analysis and conversion unit processes the feature data and controls the display panel at the same time.

[0040] In the present invention, the analysis and conversion unit constructs a color correction model based on standard training data, including:

[0041] Obtain standard training data; use the device data, device parameters and test gray data as standard input data, and use the optimal gray data as standard output data to train and construct an artificial intelligence model; mark the trained artificial intelligence model as a color correction model and store the color correction model in the analysis and conversion unit.

[0042] The standard training data includes device data, device parameters, test gray-scale data, and optimal gray-scale data. The labeled training data is obtained by refining historical experience data, mainly the display effects of the same display data on different display panels. The device data can be understood as the generation terminal of the display data, such as mobile phones, cameras, etc. The test gray-scale data is essentially the gray-scale data corresponding to the optimal display effect of the display data in the generation terminal. The device parameters are the display terminals of the display data. For example, the display panel in this invention application is the display terminal.

[0043] In order to ensure that the same display data can achieve good display effects on different display terminals, it is necessary to discover the display relationships between different display terminals. Therefore, an artificial intelligence model with strong non-linear fitting ability is used to construct and obtain a color correction model. An example of constructing the color correction model is as follows:

[0044] Suppose the device data of terminal A, the display data generated by terminal A, and the gray-scale data corresponding to the display data of terminal A under the optimal display (expert scoring, manual judgment) are obtained; as well as the device parameters of terminal B, and the gray-scale data corresponding to the display data of terminal B under the optimal display;

[0045] Using the device data of terminal A, the display data generated by terminal A, the gray-scale data corresponding to the display data of terminal A under the optimal display (expert scoring, manual judgment), and the device parameters of terminal B as the standard input data, and the gray-scale data corresponding to the display data of terminal B under the optimal display as the standard output data, train the artificial intelligence model to obtain the color correction model.

[0046] It should be understood that a large amount of data is required for training the artificial intelligence model. Therefore, the standard training data needs to be continuously updated to ensure the coverage of the standard training data.

[0047] In this invention application, the analysis and conversion unit compares the device data and the device parameters corresponding to the display panel, including:

[0048] Receiving and extracting the device data in the feature data, and scanning to obtain the device parameters of the display panel; when the device data and the device parameters are the same, directly send the feature data to the display panel for display; when the two are different, obtain the target data through the feature data.

[0049] When all the data of the generation terminal and the display terminal of the display data are the same, the display data can be directly sent to the display terminal (the display panel in this invention application), and there is no compatibility problem. When there are inconsistent data between the two, the display data needs to be processed according to the device parameters to ensure the display effect.

[0050] When the device data and the device parameters are different, data processing and color adjustment are performed, including:

[0051] When the aspect ratio and resolution in the device data and device parameters are the same, color adjustment is performed; otherwise, after data processing, color adjustment is performed; the display data after color adjustment is marked as target data.

[0052] When the resolutions, aspect ratios, etc. of the generating terminal and the display terminal are different, data processing needs to be performed on the display data, mainly including adjusting the aspect ratio of the display data and adjusting the pixel size of the display data according to the resolution to ensure the display fineness.

[0053] In the present invention application, the analysis and conversion unit performs color adjustment on the feature data to obtain target data, including:

[0054] Extract device data and display data from the feature data for grayscale conversion, and simultaneously obtain the device parameters of the display panel; use the extracted device data, the grayscale data obtained by grayscale conversion, and the device parameters of the display panel as model input data, and input the model input data into the color correction model to obtain target grayscale data; perform verification and adjustment on the target grayscale data through color data to obtain target data.

[0055] The color adjustment is based on the color correction model. When the display data needs to be adjusted, the color correction model is called, and the model input data is constructed based on the device parameters, and then the target grayscale data corresponding to the display data when it is displayed through the display panel is obtained.

[0056] Adjust the target grayscale data based on the color data to obtain target data, including:

[0057] Obtain the standard color curve corresponding to the display data through the color data; render the target grayscale data into the color format corresponding to the display panel, and obtain the corresponding rendered color curve; when the similarity between the standard color curve and the rendered color curve is lower than the similarity threshold, adjust the target grayscale data through the standard color curve to obtain target data.

[0058] After the target grayscale data is obtained, it is corrected through the standard color curve corresponding to the color data. When the color curve deviation between the two is large, the target grayscale data is adjusted based on the linear form of the standard color curve to ensure that the display effect of the display data on the display terminal can be restored.

[0059] The working principle of the present invention:

[0060] The receiving and parsing unit receives the original data, parses the original data to obtain the feature data, and sends the feature data to the analysis and conversion unit.

[0061] After the analysis and conversion unit receives the feature data, it extracts the device data and compares it with the device parameters of the display panel; when the two are inconsistent, data conversion and color adjustment are performed to obtain the target data, and the target data is displayed through the display panel.

[0062] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical method of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A multi - terminal encapsulation kernel empowerment method, which runs based on a display control module. The display control module includes a receiving and parsing unit and an analysis and conversion unit, and the display control module is connected to a display panel. It is characterized in that: The receiving and parsing unit receives the original data, obtains feature data after parsing the original data, and sends the feature data to the analysis and conversion unit; wherein, the feature data includes device data, display data, and color data, and the device data includes aspect ratio, resolution, and color depth; After receiving the feature data, the analysis and conversion unit extracts the device data and compares it with the device parameters of the display panel; when the two are inconsistent, data conversion and color adjustment are performed to obtain target data, and the target data is displayed through the display panel; wherein, the data conversion includes format conversion and pixel conversion; The analysis and conversion unit constructs a color correction model based on standard training data, including: Obtaining the standard training data; wherein, the standard training data includes device data, device parameters, test gray - scale data, and optimal gray - scale data; Using the device data, device parameters, and test gray - scale data as standard input data, and using the optimal gray - scale data as standard output data to train and construct an artificial intelligence model; wherein, the artificial intelligence model includes a deep convolutional neural network model and an RBF neural network model; Marking the trained artificial intelligence model as a color correction model and storing the color correction model in the analysis and conversion unit; The analysis and conversion unit performs color adjustment on the feature data to obtain the target data, including: Extracting device data and display data from the feature data for gray - scale conversion, and simultaneously obtaining the device parameters of the display panel; Using the extracted device data, the gray - scale data obtained by gray - scale conversion, and the device parameters of the display panel as model input data, and inputting the model input data into the color correction model to obtain target gray - scale data; Obtaining the target data after verifying and adjusting the target gray - scale data through the color data; Adjusting the target gray - scale data based on the color data to obtain the target data, including: Obtaining the standard color curve corresponding to the display data through the color data; Rendering the target gray - scale data into the color format corresponding to the display panel and obtaining the corresponding rendered color curve; wherein, the color format includes RGB and CMYK; When the similarity between the standard color curve and the rendered color curve is lower than the similarity threshold, the target gray - scale data is adjusted through the standard color curve to obtain the target data.

2. The multi-terminal encapsulation kernel empowerment method according to claim 1, wherein, The display control module is electrically connected to a plurality of the display panels, and the receiving and parsing unit and the analysis and conversion unit are communicatively and / or electrically connected; The receiving and parsing unit receives the original data by wire or wirelessly; the analysis and conversion unit processes the feature data and controls the display panel simultaneously.

3. The multi-terminal encapsulation kernel empowerment method according to claim 1, characterized in that The analysis and conversion unit compares the device data with the device parameters corresponding to the display panel, including: Receive and extract the device data in the feature data, and scan to obtain the device parameters of the display panel; wherein, the content attributes of the device data and the device parameters are the same; When the device data and the device parameters are consistent, directly send the feature data to the display panel for display; when they are inconsistent, obtain the target data through the feature data.

4. A multi-terminal encapsulation kernel empowerment method according to claim 1, characterized in that, When the device data and the device parameters are inconsistent, perform data processing and color adjustment, including: When the aspect ratios and resolutions in the device data and the device parameters are the same, perform color adjustment; otherwise, perform data processing and then perform color adjustment; Mark the display data after color adjustment as the target data.

5. A multi-terminal encapsulated kernel empowerment method according to claim 1, characterized in that, After obtaining the target data, the analysis and conversion unit sends the target data to the display panel and controls the display panel to display.

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