A control management method and system for LED backlight

Abstract

The application discloses a control management method and system of an LED backlight source, and relates to the technical field of backlight source control. The method comprises the following steps: a video decoding module is used for analyzing an input video signal and extracting an image brightness distribution entropy value and a color gamut coverage; a backlight partition regulation unit is used for dynamically adjusting a backlight partition topology structure; a prediction compensation module is used for generating a future frame brightness change trend and correcting a current backlight driving signal by using a feedforward compensation coefficient; a photoelectric sensing array is used for measuring environmental light reflection characteristics in real time; and a collaborative dimming controller is used for acquiring playing device type information and loading a differentiated dimming strategy library. The application dynamically analyzes video content features, environmental light conditions and device source types, adjusts a backlight partition structure and brightness output in real time, significantly improves an HDR scene switching response speed, enhances dark field gray scale recognition, reduces backlight instantaneous peak power consumption, simultaneously adapts to nonlinear brightness requirements of streaming media content, provides a user with better visual experience and realizes energy consumption optimization.

Description

Technical Field

[0001] The present invention belongs to the technical field of backlight source control, and in particular relates to a control and management method and system for an LED backlight source. Background Art

[0002] The backlight is an important component in devices such as liquid crystal displays and televisions, used to provide background light to enhance the brightness and contrast of the image. Backlight brightness adjustment is particularly important for the visual effects and energy consumption management of display devices. However, existing LED backlight control solutions usually rely on fixed brightness mapping tables. When dealing with sudden changes in scenes of high dynamic range video content, the response speed is slow, and dark field smearing and highlight overexposure are prone to occur. In addition, the existing solutions have certain limitations in adaptability to the nonlinear brightness requirements of streaming media content, and it is difficult to fully meet the complex scene requirements in actual use. In addition, since the backlight zoning control method is relatively fixed, uneven brightness may occur when switching between dynamic scenes, affecting the user's viewing experience.

[0003] Therefore, an optimized LED backlight control method is urgently needed to enhance the responsiveness of dynamic scenes and improve energy consumption performance. Summary of the Invention

[0004] The present invention aims to provide a method and system for controlling and managing LED backlight sources. By dynamically analyzing video content characteristics, taking into account ambient light conditions and device signal source type, the system adjusts backlight partitioning and brightness output in real time to optimize display quality and reduce energy consumption. This system excels in handling sudden changes in high dynamic range content and adapts to the nonlinear brightness requirements of streaming media, providing users with a superior visual experience.

[0005] The present invention can be achieved through the following technical solutions:

[0006] In a first aspect, an embodiment of the present application provides a control and management system for an LED backlight source, comprising:

[0007] Video decoding module, used to parse the input video signal and extract the image brightness distribution entropy and color gamut coverage;

[0008] A backlight partition control unit, configured to dynamically adjust a backlight partition topology structure according to the image brightness distribution entropy value;

[0009] A prediction and compensation module is used to generate future frame brightness change trends based on a temporal convolutional network and generate feedforward compensation coefficients to correct the current backlight drive signal;

[0010] A photoelectric sensor array, embedded inside the glass substrate of the display surface, is used to measure the ambient light reflection characteristics in real time;

[0011] Collaborative dimming controller obtains playback device type information through the HDMI-CEC protocol and loads the differentiated dimming strategy library;

[0012] The modules are connected to each other via a high-speed data bus.

[0013] Preferably, the video decoding module has a built-in YCrCb three-channel histogram analyzer for counting the brightness distribution entropy and color gamut coverage of each frame of image.

[0014] Preferably, the backlight partition control unit divides the high entropy area into 3×3 sub-partitions, each sub-partition independently controls the brightness output; and merges the low entropy areas into super partitions to uniformly adjust the brightness output.

[0015] Preferably, the prediction and compensation module collects historical frame brightness data, constructs a time series data set, and uses a time convolutional network model to generate brightness change trends for the next five frames.

[0016] Preferably, the photoelectric sensing array arranges a plurality of micro photodiodes in a regular grid form, for converting ambient light reflection signals into electrical signals and transmitting the electrical signals to the signal processing unit.

[0017] Preferably, the collaborative dimming controller sends a device query instruction through the HDMI interface, receives the type information returned by the playback device, and loads the corresponding dimming strategy library.

[0018] In a second aspect, an embodiment of the present application provides a method for controlling and managing an LED backlight source, which is applied to the control and management system described above, and includes the following steps:

[0019] The video decoding module analyzes the input video signal and extracts the brightness distribution entropy and color gamut coverage of each frame.

[0020] Dynamically adjust the backlight partition structure according to the image brightness distribution entropy value through the backlight partition control unit;

[0021] The prediction and compensation module uses a temporal convolutional network to predict the brightness change trend of the next five frames and generates a feedforward compensation coefficient to be injected into the current backlight drive signal;

[0022] The photoelectric sensor array measures the reflectivity of ambient light at multiple points on the glass substrate in real time and dynamically corrects the backlight output gain;

[0023] The collaborative dimming controller obtains the playback device type information and loads a differentiated dimming strategy library for different signal sources.

[0024] Preferably, the video decoding module decomposes the input video signal into luminance component and chrominance component, calculates the histogram distribution of each component respectively, and calculates the luminance distribution entropy value based on the histogram distribution; the backlight partition control unit divides the high entropy area into 3×3 sub-partitions, merges the low entropy areas into super partitions, and realizes brightness control through the PWM signal driving circuit.

[0025] Preferably, the prediction and compensation module constructs a time series data set based on historical frame brightness data, and uses a time convolution network model to generate brightness change trend prediction results; the photoelectric sensing array receives the ambient light reflection signal through a micro photodiode, and converts it into an electrical signal and transmits it to the signal processing unit for filtering and amplification.

[0026] Preferably, the collaborative dimming controller communicates with the external playback device via the HDMI-CEC protocol, obtains device type information and loads a corresponding dimming strategy library.

[0027] The beneficial effects of the present invention are as follows: the present invention solves the problem that the existing LED backlight control relies on a fixed brightness mapping table, significantly improves the HDR scene switching response speed, enhances the dark field grayscale recognition, and reduces the instantaneous peak power consumption of the backlight. Specifically, the dynamic backlight partition reconstruction mechanism can flexibly adjust the partition structure according to the complexity of the image, avoiding the problem of uneven brightness caused by fixed partitions; the brightness prediction compensation algorithm adjusts the backlight output in advance through feedforward control, effectively reducing dark field smearing and highlight overexposure; the ambient light transmittance calibration mechanism dynamically corrects the backlight output gain by real-time monitoring of the ambient light reflection characteristics, ensuring that the display effect remains consistent under different ambient light conditions; the cross-domain collaborative control mechanism achieves precise adaptation to different types of playback devices by loading a differentiated dimming strategy library, meeting the nonlinear brightness requirements of streaming media content. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] For better understanding and implementation, the technical solution of the present application is described in detail below with reference to the accompanying drawings.

[0029] Figure 1 A schematic diagram of the structure of a control and management system for an LED backlight source provided in an embodiment of the present application;

[0030] Figure 2 A schematic diagram of partition adjustment of the backlight partition control unit provided in an embodiment of the present application;

[0031] Figure 3 A schematic diagram of the installation position and signal processing flow of the photoelectric sensor array provided in an embodiment of the present application;

[0032] Figure 4 A schematic diagram of the workflow of the collaborative dimming controller provided in an embodiment of the present application;

[0033] Figure 5 A flowchart of a method for controlling and managing an LED backlight source provided in an embodiment of the present application;

[0034] The reference numerals are as follows

[0035] In the figure: 1. Video decoding module; 2. Backlight partition control unit; 3. Prediction compensation module; 4. Photoelectric sensing array; 5. Collaborative dimming controller; 6. Glass substrate; 7. Micro photodiode; 8. Signal processing unit; 9. HDMI interface. DETAILED DESCRIPTION

[0036] To further illustrate the technical means and effectiveness of the present invention in achieving its intended purpose, exemplary embodiments will be described in detail herein, with examples illustrated in the accompanying drawings. In the following description, when referring to the drawings, identical numerals in different figures represent identical or similar elements, unless otherwise indicated. The embodiments described in the following exemplary embodiments are not intended to represent all possible embodiments consistent with the present application. Rather, they are merely examples of methods and systems consistent with certain aspects of the present application, as detailed in the appended claims.

[0037] The terms used in this application are for the purpose of describing specific embodiments only and are not intended to limit this application. The singular forms "a," "an," "the," and "the" used in this application and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term "and / or" as used herein refers to any or all possible combinations of one or more of the associated listed items.

[0038] The following describes in detail the specific implementation methods, features and effects of the present invention in conjunction with the accompanying drawings and preferred embodiments.

[0039] Example 1

[0040] like Figure 1 As shown, it is a schematic diagram of the module structure of the LED backlight control system in an embodiment of the present application, showing the connection relationship between the video decoding module 1, the backlight partition control unit 2, the prediction compensation module 3, the photoelectric sensing array 4 and the collaborative dimming controller 5.

[0041] This application provides an LED backlight control and management system that dynamically analyzes video content characteristics, ambient light conditions, and device signal source type to adjust backlight partition structure and brightness output in real time to optimize display quality and reduce energy consumption. This system excels in handling sudden changes in high dynamic range content and adapts to the nonlinear brightness requirements of streaming media, providing users with a superior visual experience.

[0042] The control and management system includes: a video decoding module 1, a backlight partition control unit 2, a prediction compensation module 3, a photoelectric sensor array 4 and a collaborative dimming controller 5, and the modules are connected to each other via a high-speed data bus.

[0043] The video decoding module 1 is deployed at the back end of the video signal processing link and has a built-in YCrCb three-channel histogram analyzer to count the brightness distribution entropy and color gamut coverage of each frame image.

[0044] Specifically, the video decoding module 1 first decomposes the input video signal into luminance component (Y) and chrominance components (Cr, Cb), and calculates the histogram distribution of each component respectively; the luminance distribution entropy value is calculated based on the histogram distribution to evaluate the image complexity; the data packet describing the image features is generated in combination with the color gamut coverage information, and transmitted to the backlight partition control unit 2; the video decoding module 1 is connected to the backlight partition control unit 2 via a high-speed data bus to ensure the real-time data transmission.

[0045] The backlight partition control unit 2 receives the image feature data from the video decoding module 1 and dynamically adjusts the backlight partition topology according to the image features.

[0046] like Figure 2 As shown, it is a schematic diagram of the partition adjustment of the backlight partition control unit 2 in an embodiment of the present application, showing the dynamic topological structure adjustment process of dividing the high entropy area into 3×3 sub-partitions and merging the low entropy areas into super partitions.

[0047] Specifically, for high-entropy regions, backlight zone control unit 2 divides them into 3×3 sub-regions, each of which independently controls brightness output. For low-entropy regions, they are merged into super-regions, which uniformly adjust brightness output. During the zone adjustment process, backlight zone control unit 2 implements brightness control via a PWM signal drive circuit, ensuring smooth and flicker-free zone brightness changes. High-entropy regions are divided into 3×3 sub-regions, while low-entropy regions are merged into super-regions. Backlight zone control unit 2 is connected to prediction and compensation module 3 via a high-speed data bus, transmitting zone adjustment information to prediction and compensation module 3.

[0048] The prediction and compensation module 3 adopts a temporal convolutional network model to predict the brightness change trend of the next five frames based on the historical frame brightness data, and converts the prediction results into feedforward compensation coefficients.

[0049] Specifically, the prediction and compensation module 3 first collects historical frame brightness data to construct a time series dataset. It then trains this dataset using a temporal convolutional network model to generate a brightness trend prediction model. Finally, based on the prediction results, it calculates a feedforward compensation coefficient and injects it into the current backlight drive signal. The prediction and compensation module 3 is connected to the collaborative dimming controller 5 via a high-speed data bus, transmitting the feedforward compensation coefficient to the collaborative dimming controller 5.

[0050] The photoelectric sensing array 4 is embedded inside the glass substrate 6 on the display screen surface, and a plurality of micro photodiodes 7 are arranged in a regular grid form for real-time monitoring of the ambient light reflection characteristics.

[0051] like Figure 3 As shown, it is a schematic diagram of the installation position and signal processing flow of the photoelectric sensing array 4 in the embodiment of the present application, showing the regular grid arrangement of the micro photodiodes 7 on the inner side of the glass substrate 6 and their connection relationship with the signal processing unit 8.

[0052] Specifically, the photoelectric sensing array 4 processes regular grid-like grooves on the inner side of the glass substrate 6, fixes the micro-photodiode 7 in the groove, and connects it to the signal processing unit 8 via a flexible circuit board. The micro-photodiode 7 receives the ambient light reflection signal, converts it into an electrical signal, and transmits it to the signal processing unit 8; the signal processing unit 8 filters and amplifies the received electrical signal, and ultimately generates a data packet describing the ambient light reflection characteristics. The photoelectric sensing array 4 is connected to the collaborative dimming controller 5 via a high-speed data bus, and transmits the ambient light reflection characteristic data to the collaborative dimming controller 5.

[0053] The collaborative dimming controller 5 communicates with the external playback device through the HDMI-CEC protocol, obtains the device type information and loads the corresponding dimming strategy library.

[0054] like Figure 4 As shown, it is a schematic diagram of the workflow of the collaborative dimming controller 5 in an embodiment of the present application obtaining device type information through the HDMI-CEC protocol and loading the dimming strategy library.

[0055] Specifically, the collaborative dimming controller 5 first sends a device query command via the HDMI interface 9. Secondly, it receives the type information returned by the playback device. Finally, based on the device type information, it loads the corresponding dimming strategy library. The dimming strategy library contains brightness adjustment parameters for different types of playback devices, ensuring that the backlight output matches the characteristics of the source content. The collaborative dimming controller 5 connects to other modules via a high-speed data bus, comprehensively processing the data from each module to generate the final backlight drive signal.

[0056] The connection and positional relationships between the above modules ensure the real-time and accuracy of information transmission, thereby ensuring the efficient operation of the system. The video decoding module 1 is located at the back end of the video signal processing link, responsible for parsing the input video signal and extracting image feature data; the backlight partition control unit 2 is immediately connected to the video decoding module 1, and dynamically adjusts the backlight partition topology according to the image feature data; the prediction compensation module 3 receives the partition adjustment information of the backlight partition control unit 2, and generates a feedforward compensation coefficient through a time convolution network; the photoelectric sensor array 4 is embedded on the inner side of the glass substrate 6 on the surface of the display screen to monitor the ambient light reflection characteristics in real time; the collaborative dimming controller 5 communicates with the external playback device through the HDMI interface 9, obtains the device type information and loads the dimming strategy library.

[0057] Through the above system, this application solves the problem that the existing LED backlight control relies on a fixed brightness mapping table, significantly improves the HDR scene switching response speed, enhances the dark field grayscale recognition, and reduces the instantaneous peak power consumption of the backlight. Specifically, the dynamic backlight partition reconstruction mechanism can flexibly adjust the partition structure according to the complexity of the image, avoiding the brightness unevenness problem caused by fixed partitions; the brightness prediction compensation algorithm adjusts the backlight output in advance through feedforward control, effectively reducing dark field smearing and highlight overexposure; the ambient light transmittance calibration mechanism dynamically corrects the backlight output gain by real-time monitoring of the ambient light reflection characteristics, ensuring that the display effect remains consistent under different ambient light conditions; the cross-domain collaborative control mechanism achieves precise adaptation to different types of playback devices by loading a differentiated dimming strategy library, meeting the nonlinear brightness requirements of streaming media content.

[0058] Example 2

[0059] This application provides a practical application scenario based on the control and management system of the above-mentioned LED backlight source, the specific contents of which are as follows:

[0060] In actual application scenarios, when a user plays an HDR video, the video decoding module 1 parses the input video signal, extracts the brightness distribution entropy and color gamut coverage of each frame, and transmits the data packet to the backlight partition control unit 2. The backlight partition control unit 2 dynamically adjusts the backlight partition topology based on the image feature data, splitting high-entropy areas into 3×3 sub-partitions and merging low-entropy areas into super-partitions. This partition adjustment information is then passed to the prediction and compensation module 3, which uses a temporal convolutional network to predict the brightness trend over the next five frames and generates feedforward compensation coefficients to be injected into the current backlight drive signal. Simultaneously, the photoelectric sensor array 4 measures the reflectivity of ambient light at multiple points on the glass substrate 6 in real time and transmits this ambient light reflection characteristic data to the collaborative dimming controller 5. The collaborative dimming controller 5 obtains the playback device type information via the HDMI-CEC protocol, loads a library of differentiated dimming strategies, and generates the final backlight drive signal. This entire process uses a high-speed data bus to transmit information between modules, ensuring real-time and efficient system operation.

[0061] The above embodiment describes in detail the components, connections, location relationships, and operating principles and processes of the LED backlight control system. Each module is interconnected via a high-speed data bus, ensuring real-time and accurate information transmission. The system dynamically analyzes video content characteristics, ambient light conditions, and device signal source type to adjust the backlight partition structure and brightness output in real time, optimizing display quality and reducing energy consumption.

[0062] Example 3

[0063] In order to enable relevant personnel in this technical field to fully understand and implement the present invention, the implementation principle of the present invention is supplemented below with reference to specific application scenarios.

[0064] like Figure 5 As shown, the present application also provides a control and management method for an LED backlight source, which is applied to the above-mentioned LED backlight source control and management system, and includes the following steps:

[0065] The video decoding module 1 analyzes the input video signal and extracts the brightness distribution entropy and color gamut coverage of each frame image;

[0066] The backlight partition control unit 2 dynamically adjusts the backlight partition structure according to the image brightness distribution entropy value, implements 3×3 sub-partition fission on the high entropy area, and merges the low entropy area into a super partition;

[0067] The prediction and compensation module 3 uses a temporal convolutional network to predict the brightness change trend of the next five frames and generates a feedforward compensation coefficient to be injected into the current backlight drive signal;

[0068] The photoelectric sensor array 4 measures the reflectivity of the ambient light at multiple points on the glass substrate 6 in real time, and dynamically corrects the backlight output gain;

[0069] The playback device type information is obtained through the collaborative dimming controller 5, and a differentiated dimming strategy library is loaded for different signal sources such as game consoles or Blu-ray players.

[0070] In actual applications, when a user plays an HDR video through an external playback device, the video decoding module 1 first receives the input video signal and decomposes it into the luminance component (Y) and chrominance components (Cr, Cb). The YCrCb three-channel histogram analyzer built into the video decoding module 1 calculates the histogram distribution of each component separately and further calculates the luminance distribution entropy value based on the histogram distribution. The luminance distribution entropy value is used to assess the complexity of the current frame image. At the same time, it is combined with the color gamut coverage information to generate a data packet describing the image features and transmit the data packet to the backlight partition control unit 2 via a high-speed data bus. This process ensures the real-time extraction of video content features and provides basic data support for the subsequent dynamic adjustment of the backlight partition structure. After receiving the image feature data transmitted by the video decoding module 1, the backlight partition control unit 2 dynamically adjusts the backlight partition topology structure based on the high or low luminance distribution entropy value. For high-entropy areas, the backlight partition control unit 2 divides them into 3×3 sub-partitions, and each sub-partition controls the brightness output through an independent PWM signal driving circuit, thereby achieving refined brightness adjustment; for low-entropy areas, the backlight partition control unit 2 merges them into super partitions and uniformly adjusts the brightness output to reduce energy consumption.

[0071] like Figure 2 As shown, high-entropy regions are subdivided into 3×3 subregions, while low-entropy regions are merged into larger superregions. After the regions are adjusted, the backlight region control unit 2 transmits the adjusted region information to the prediction and compensation module 3 via a high-speed data bus for further optimization of the backlight drive signal. The prediction and compensation module 3 analyzes historical frame brightness data based on a temporal convolutional network model, constructs a time series dataset, and uses this dataset to train a brightness trend prediction model. Using the model to predict the brightness trend for the next five frames, the prediction and compensation module 3 generates feedforward compensation coefficients and injects them into the current backlight drive signal. This process effectively reduces dark field smearing and highlight overexposure caused by sudden brightness changes by adjusting the backlight output in advance. The prediction and compensation module 3 ultimately transmits the feedforward compensation coefficients to the collaborative dimming controller 5 via a high-speed data bus to generate the final backlight drive signal. Meanwhile, the photoelectric sensor array 4 is embedded inside the glass substrate 6 of the display surface. Its microphotodiodes 7 are arranged in a regular grid to monitor the ambient light reflectance characteristics in real time.

[0072] like Figure 3As shown, the micro photodiode 7 is fixed in a regular grid-shaped groove processed on the inner side of the glass substrate 6, and is connected to the signal processing unit 8 through a flexible circuit board. After receiving the ambient light reflection signal, the micro photodiode 7 converts it into an electrical signal and transmits it to the signal processing unit 8. The signal processing unit 8 filters and amplifies the received electrical signal, generates a data packet describing the ambient light reflection characteristics, and transmits the data packet to the collaborative dimming controller 5 through a high-speed data bus. This process realizes the dynamic perception of ambient light conditions and provides a basis for subsequent correction of the backlight output gain. The collaborative dimming controller 5 communicates with the external playback device through the HDMI-CEC protocol, obtains the playback device type information and loads the corresponding dimming strategy library.

[0073] like Figure 4 As shown, the collaborative dimming controller 5 first sends a device query command through the HDMI interface 9. After receiving the type information returned by the playback device, it loads the differentiated dimming strategy library. The dimming strategy library contains brightness adjustment parameters for different types of playback devices, ensuring that the backlight output matches the characteristics of the source content. The collaborative dimming controller 5 comprehensively processes the data from the prediction compensation module 3 and the photoelectric sensor array 4 to generate the final backlight drive signal, and realizes the output control of the backlight brightness through the PWM signal drive circuit.

[0074] Through the above steps, the system realizes dynamic analysis of video content features, flexible adjustment of backlight partition structure and real-time adaptation of ambient light conditions. For example, when playing HDR video, the 3×3 sub-partition fission mechanism in the high entropy area can significantly improve the accuracy of local brightness adjustment and avoid the brightness unevenness problem caused by traditional fixed partitions; the super partition merging mechanism in the low entropy area effectively reduces energy consumption. In addition, the temporal convolutional network model of the prediction and compensation module 3 adjusts the backlight output in advance by predicting the brightness change trend of future frames, reducing the impact of brightness mutation on visual effects. The ambient light reflection characteristic monitoring function of the photoelectric sensor array 4 combined with the differentiated dimming strategy library of the collaborative dimming controller 5 ensures the consistency of the display effect under different ambient light conditions.

[0075] In summary, the present invention achieves precise control of the LED backlight source through the coordinated operation of the video decoding module 1, the backlight partition control unit 2, the prediction compensation module 3, the photoelectric sensor array 4, and the collaborative dimming controller 5. The high-speed data bus interconnection between the modules ensures the real-time and accurate transmission of information, thereby significantly improving the HDR scene switching response speed, enhancing the dark field grayscale recognition, and reducing the instantaneous peak power consumption of the backlight.

[0076] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant description of other embodiments.

[0077] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0078] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the present invention.

[0079] The above description is merely a preferred embodiment of the present invention and does not constitute any form of limitation to the present invention. Although the present invention has been disclosed as a preferred embodiment as above, it is not intended to limit the present invention. Any person skilled in the art can make some changes or modifications to equivalent embodiments using the technical contents disclosed above without departing from the scope of the technical solution of the present invention. However, any simple modifications, equivalent changes and modifications made to the above embodiments based on the technical essence of the present invention without departing from the content of the technical solution of the present invention still fall within the scope of the technical solution of the present invention.

Claims

1. A control and management system for LED backlight sources, characterized by: include: Video decoding module, used to parse the input video signal and extract the image brightness distribution entropy and color gamut coverage; A backlight partition control unit, configured to dynamically adjust a backlight partition topology structure according to the image brightness distribution entropy value; A prediction and compensation module is used to generate future frame brightness change trends based on a temporal convolutional network and generate feedforward compensation coefficients to correct the current backlight drive signal; A photoelectric sensor array, embedded inside the glass substrate of the display surface, is used to measure the ambient light reflection characteristics in real time; Collaborative dimming controller obtains playback device type information through the HDMI-CEC protocol and loads the differentiated dimming strategy library; Among them, the backlight partition control unit transmits the partition adjustment information to the prediction compensation module through the high-speed data bus; The prediction compensation module transmits the feedforward compensation coefficient to the cooperative dimming controller via a high-speed data bus; The photoelectric sensing array transmits the ambient light reflection characteristic data to the collaborative dimming controller via a high-speed data bus; The collaborative dimming controller comprehensively processes the data from the prediction compensation module and the photoelectric sensing array.

2. The control and management system for LED backlight sources according to claim 1, characterized in that: The video decoding module (1) has a built-in YCrCb three-channel histogram analyzer for counting the brightness distribution entropy value and color gamut coverage of each frame of image.

3. The control and management system for LED backlight sources according to claim 1, characterized in that: The backlight partition control unit (2) divides the high entropy area into 3×3 sub-partitions, each sub-partition independently controls the brightness output; and merges the low entropy areas into super partitions to uniformly adjust the brightness output.

4. The control and management system for LED backlight sources according to claim 1, characterized in that: The prediction and compensation module (3) collects historical frame brightness data, constructs a time series data set, and uses a time convolutional network model to generate brightness change trends for the next five frames.

5. The control and management system for LED backlight sources according to claim 1, characterized in that: The photoelectric sensing array (4) has a plurality of micro photodiodes (7) arranged in a regular grid, and is used to convert ambient light reflection signals into electrical signals and transmit the signals to a signal processing unit (8).

6. The control and management system for LED backlight sources according to claim 1, characterized in that: The collaborative dimming controller (5) sends a device query instruction via the HDMI interface (9), receives type information returned by the playback device, and loads a corresponding dimming strategy library.

7. A method for controlling and managing an LED backlight source, applied to the control and management system according to any one of claims 1 to 6, characterized in that: The method comprises the following steps: parsing the input video signal through a video decoding module (1) to extract the brightness distribution entropy value and color gamut coverage of each frame image; Dynamically adjusting the backlight partition topology structure according to the image brightness distribution entropy value through the backlight partition control unit (2); The prediction compensation module (3) uses a temporal convolutional network to predict the brightness change trend of the next five frames and generates a feedforward compensation coefficient to be injected into the current backlight driving signal; The reflectivity of the ambient light at multiple points on the glass substrate (6) is measured in real time by a photoelectric sensing array (4), and the backlight output gain is dynamically corrected; The playback device type information is obtained through the collaborative dimming controller (5), and a differentiated dimming strategy library is loaded for different signal sources.

8. The method for controlling and managing an LED backlight source according to claim 7, wherein: The video decoding module (1) decomposes the input video signal into a luminance component and a chrominance component, calculates the histogram distribution of each component, and calculates the luminance distribution entropy value based on the histogram distribution; the backlight partition control unit (2) divides the high entropy area into 3×3 sub-partitions, merges the low entropy areas into super partitions, and realizes brightness control through a PWM signal driving circuit.

9. The method for controlling and managing an LED backlight source according to claim 7, wherein: The prediction and compensation module (3) constructs a time series data set based on historical frame brightness data, and generates brightness change trend prediction results using a time convolutional network model; The photoelectric sensing array (4) receives the ambient light reflection signal through the micro photodiode (7), converts the signal into an electrical signal, and transmits the signal to the signal processing unit (8) for filtering and amplification.

10. The method for controlling and managing an LED backlight source according to claim 7, wherein: The collaborative dimming controller (5) communicates with the external playback device via the HDMI-CEC protocol, obtains device type information and loads the corresponding dimming strategy library.

Images