Control management method and system for LED backlight source

Abstract

The invention discloses a control management method and system for an LED backlight source, and relates to the technical field of backlight source control. The video decoding module is used for analyzing an input video signal and extracting an image brightness distribution entropy value and a color gamut coverage degree; the backlight partition regulation and control unit is used for dynamically adjusting a backlight partition topological structure; the 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; the photoelectric sensing array is used for measuring the reflection characteristic of ambient light in real time; and the collaborative dimming controller is used for acquiring the type information of the playing equipment and loading a differential dimming strategy library. By dynamically analyzing video content characteristics, ambient light conditions and equipment information source types and adjusting a backlight partition structure and brightness output in real time, the HDR scene switching response speed is remarkably improved, the dark field gray scale identification degree is enhanced, backlight instantaneous peak power consumption is reduced, the non-linear brightness requirement of streaming media content is met at the same time, and the real-time performance of the system is improved. And better visual experience is provided for the user, and energy consumption optimization is realized.

Description

Technical Field

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

[0002] A 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 images. The brightness adjustment of the backlight is particularly important for the visual effect and energy consumption management of display devices. However, existing LED backlight control schemes usually rely on a fixed brightness mapping table, and when dealing with sudden change scenes in high-dynamic-range video content, the response speed is slow, and phenomena such as dark field smear and high-brightness overexposure are likely to occur. In addition, for the non-linear brightness requirements of streaming media content, existing schemes have certain limitations in adaptability and are difficult to fully meet the complex scene requirements in actual use. Moreover, due to the relatively fixed backlight zone regulation method, uneven brightness may occur during dynamic scene switching, affecting the user's viewing experience.

[0003] Therefore, there is an urgent need for an optimized LED backlight control method to improve the response ability of dynamic scenes and the energy consumption performance. Summary of the Invention

[0004] The purpose of the present invention is to provide a control management method and system for an LED backlight, which dynamically analyzes the video content characteristics, combines the ambient light conditions and the device source type, and adjusts the backlight zone structure and brightness output in real time to optimize the display effect and reduce energy consumption. The present invention performs well in dealing with sudden change scenes of high-dynamic-range content, and at the same time adapts to the non-linear brightness requirements of streaming media content, providing users with a better visual experience.

[0005] The present invention can be realized through the following technical solutions: In a first aspect, an embodiment of the present application provides a control management system for an LED backlight, including: A video decoding module, configured to parse an input video signal and extract the image brightness distribution entropy value and the color gamut coverage; A backlight zone regulation unit, configured to dynamically adjust the backlight zone topology structure according to the image brightness distribution entropy value; A prediction compensation module, configured to generate the future frame brightness change trend based on a temporal convolutional network and generate a feedforward compensation coefficient to correct the current backlight drive signal; A photoelectric induction array, embedded inside the glass substrate on the surface of the display screen, for measuring the ambient light reflection characteristics in real time; A collaborative dimming controller, which obtains the playback device type information through the HDMI-CEC protocol and loads a differential dimming strategy library; Among them, the above-mentioned modules are communicatively connected through a high-speed data bus.

[0006] Preferably, the video decoding module is built-in with a YCrCb three-channel histogram analyzer for statistically analyzing the luminance distribution entropy value and color gamut coverage of each frame of image.

[0007] Preferably, the backlight zoning control unit divides the high-entropy region into 3×3 sub-zones, and independently controls the brightness output of each sub-zone; the low-entropy region is merged into a super-zone, and the brightness output is uniformly adjusted.

[0008] Preferably, the prediction compensation module collects the luminance data of historical frames, constructs a time series data set, and uses a temporal convolutional network model to generate the luminance change trend of the next 5 frames.

[0009] Preferably, the photoelectric induction array arranges a plurality of micro-photodiodes in a regular grid form, and is used to convert the ambient light reflection signal into an electrical signal and transmit it to the signal processing unit.

[0010] 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.

[0011] In a second aspect, an embodiment of the present application provides a control management method for an LED backlight source, which is applied to the control management system as described above, and includes the following steps: Parse the input video signal through the video decoding module, and extract the luminance distribution entropy value and color gamut coverage of each frame of image; Dynamically adjust the backlight zoning structure through the backlight zoning control unit according to the luminance distribution entropy value of the image; Use the temporal convolutional network to predict the luminance change trend of the next 5 frames through the prediction compensation module, and generate a feedforward compensation coefficient to inject into the current backlight drive signal; Measure the multi-point reflectivity of the ambient light on the glass substrate in real time through the photoelectric induction array, and dynamically correct the backlight output gain; Obtain the type information of the playback device through the collaborative dimming controller, and load a differentiated dimming strategy library for different signal sources.

[0012] Preferably, the video decoding module decomposes the input video signal into a luminance component and a chrominance component, calculates the histogram distribution of each component respectively, and calculates the luminance distribution entropy value based on the histogram distribution; the backlight zoning control unit divides the high-entropy region into 3×3 sub-zones, merges the low-entropy region into a super-zone, and realizes brightness control through a PWM signal drive circuit.

[0013] Preferably, the prediction compensation module constructs a time series data set based on historical frame brightness data and uses a temporal convolutional network model to generate a prediction result of the brightness change trend; the photoinductive array receives ambient light reflection signals through micro-photodiodes and converts them into electrical signals for transmission to the signal processing unit for filtering and amplification processing.

[0014] Preferably, the collaborative dimming controller communicates with an external playback device through the HDMI-CEC protocol, obtains device type information, and loads the corresponding dimming strategy library.

[0015] 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 recognition of dark field gray levels, and reduces the instantaneous peak power consumption of the backlight. Specifically, the dynamic backlight zone reconstruction mechanism can flexibly adjust the zone structure according to the image complexity, avoiding the brightness unevenness problem caused by fixed zones; the brightness prediction compensation algorithm adjusts the backlight output in advance through feedforward control, effectively reducing the dark field smear and highlight overexposure phenomena; 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 realizes precise adaptation to different types of playback devices by loading different dimming strategy libraries, meeting the non-linear brightness requirements of streaming media content. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] For better understanding and implementation, the technical solutions of the present application will be described in detail below with reference to the accompanying drawings.

[0017] Figure 1 It is a schematic structural diagram of a control and management system for an LED backlight source provided by an embodiment of the present application; Figure 2 It is a schematic diagram of the zone adjustment of the backlight zone regulation unit provided by an embodiment of the present application; Figure 3 It is a schematic diagram of the installation position and signal processing flow of the photoinductive array provided by an embodiment of the present application; Figure 4 It is a schematic diagram of the working process of the collaborative dimming controller provided by an embodiment of the present application; Figure 5 It is a schematic flowchart of the steps of a control and management method for an LED backlight source provided by an embodiment of the present application; The reference numerals are as follows In the figure: 1, video decoding module; 2, backlight zone regulation unit; 3, prediction compensation module; 4, photoinductive array; 5, collaborative dimming controller; 6, glass substrate; 7, micro-photodiode; 8, signal processing unit; 9, HDMI interface. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0018] To further elaborate on the technical means and effects adopted by the present invention to achieve the intended invention purpose, exemplary embodiments will be described in detail herein, and the examples are shown in the accompanying drawings. When the following description refers to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. On the contrary, they are merely examples of methods and systems consistent with some aspects of the present application as detailed in the appended claims.

[0019] The terms used in the present application are for the purpose of describing specific embodiments only and are not intended to limit the present application. The singular forms "a", "the", and "said" used in the present 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" used herein refers to any or all possible combinations of one or more of the associated listed items.

[0020] The following will, in conjunction with the accompanying drawings and preferred embodiments, elaborate in detail on the specific implementation manners, features, and effects of the present invention.

[0021] Embodiment 1 As Figure 1 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 zoning control unit 2, the prediction compensation module 3, the photoinductive array 4, and the collaborative dimming controller 5.

[0022] The embodiment of the present application provides a control management system for an LED backlight, which dynamically analyzes the video content characteristics, combines the ambient light conditions and the device source type, and adjusts the backlight zoning structure and brightness output in real time to optimize the display effect and reduce energy consumption. The system performs excellently in dealing with the mutation scenes of high dynamic range content and at the same time adapts to the non-linear brightness requirements of streaming media content, providing a better visual experience for users.

[0023] The above control management system includes: a video decoding module 1, a backlight zoning control unit 2, a prediction compensation module 3, a photoinductive array 4, and a collaborative dimming controller 5. Communication connections are achieved between the modules through a high-speed data bus; The video decoding module 1 is deployed at the backend of the video signal processing link and is built with a YCrCb three-channel histogram analyzer for statistically analyzing the brightness distribution entropy value and color gamut coverage of each frame of image.

[0024] Specifically, the video decoding module 1 first decomposes the input video signal into a luminance component (Y) and chrominance components (Cr, Cb), calculates the histogram distribution of each component respectively; calculates the luminance distribution entropy value based on the histogram distribution to evaluate the image complexity; generates a data packet describing the image features in combination with the gamut coverage information, and transmits it to the backlight zone control unit 2; the video decoding module 1 is connected to the backlight zone control unit 2 through a high-speed data bus to ensure the real-time nature of data transmission.

[0025] The backlight zone control unit 2 receives the image feature data from the video decoding module 1 and dynamically adjusts the backlight zone topology according to the image features.

[0026] As Figure 2 shown, it is a schematic diagram of the zone adjustment of the backlight zone control unit 2 in the embodiment of the present application, showing the dynamic topology adjustment process of dividing the high-entropy area into 3×3 sub-zones and merging the low-entropy area into a super zone.

[0027] Specifically, for the high-entropy area, the backlight zone control unit 2 divides it into 3×3 sub-zones, and each sub-zone independently controls the luminance output; for the low-entropy area, it is merged into a super zone to uniformly adjust the luminance output. During the zone adjustment process, the backlight zone control unit 2 realizes luminance control through a PWM signal driving circuit to ensure smooth and non-flickering changes in the zone luminance. The high-entropy area is divided into 3×3 sub-zones, and the low-entropy area is merged into a super zone. The backlight zone control unit 2 is connected to the prediction compensation module 3 through a high-speed data bus and transmits the zone adjustment information to the prediction compensation module 3.

[0028] The prediction compensation module 3 adopts a temporal convolutional network model, predicts the luminance change trend of the next 5 frames based on the historical frame luminance data, and converts the prediction result into a feedforward compensation coefficient.

[0029] Specifically, the prediction compensation module 3 first collects the historical frame luminance data, constructs a time series data set; uses the temporal convolutional network model to train the data set to generate a luminance change trend prediction model; finally calculates the feedforward compensation coefficient based on the prediction result and injects it into the current backlight driving signal. The prediction compensation module 3 is connected to the collaborative dimming controller 5 through a high-speed data bus and transmits the feedforward compensation coefficient to the collaborative dimming controller 5.

[0030] The photoinductive array 4 is embedded inside the surface glass substrate 6 of the display screen, and a plurality of micro-photodiodes 7 are arranged in a regular grid form to monitor the ambient light reflection characteristics in real time.

[0031] As Figure 3As shown, it is a schematic diagram of the installation position and signal processing flow of the photoelectric induction 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.

[0032] Specifically, the photoelectric induction array 4 processes regular grid-shaped grooves on the inner side of the glass substrate 6, fixes the micro photodiodes 7 in the grooves, and connects them to the signal processing unit 8 through a flexible circuit board. The micro photodiodes 7 receive the ambient light reflection signal, convert it into an electrical signal and transmit it to the signal processing unit 8; the signal processing unit 8 filters and amplifies the received electrical signal, and finally generates a data packet describing the ambient light reflection characteristics. The photoelectric induction array 4 is connected to the collaborative dimming controller 5 through a high-speed data bus, and transmits the ambient light reflection characteristic data to the collaborative dimming controller 5.

[0033] The collaborative dimming controller 5 communicates with an external playback device through the HDMI-CEC protocol, obtains device type information, and loads the corresponding dimming strategy library.

[0034] As Figure 4 shown, it is a schematic diagram of the working process of the collaborative dimming controller 5 obtaining device type information and loading the dimming strategy library through the HDMI-CEC protocol in the embodiment of the present application.

[0035] Specifically, the collaborative dimming controller 5 first sends a device query instruction through the HDMI interface 9; secondly, receives the type information returned by the playback device; finally, loads the corresponding dimming strategy library according to the device type information. The dimming strategy library contains brightness adjustment parameters for different types of playback devices to ensure that the backlight output matches the characteristics of the source content. The collaborative dimming controller 5 is connected to other modules through a high-speed data bus, comprehensively processes the data from each module, and generates the final backlight drive signal.

[0036] The connection relationship and position relationship among the above-mentioned modules ensure the real-time and accuracy of information transmission, thus guaranteeing the efficient operation of the system. The video decoding module 1 is located at the backend of the video signal processing link and is responsible for parsing the input video signal and extracting image feature data; the backlight zone control unit 2 is adjacent to the video decoding module 1 and dynamically adjusts the backlight zone topology according to the image feature data; the prediction compensation module 3 receives the zone adjustment information of the backlight zone control unit 2 and generates a feedforward compensation coefficient through a temporal convolutional network; the photoelectric induction array 4 is embedded in the inner side of the glass substrate 6 on the display screen surface to monitor the ambient light reflection characteristics in real time; the collaborative dimming controller 5 communicates with an external playback device through the HDMI interface 9, obtains device type information, and loads the corresponding dimming strategy library.

[0037] Through the above system, this application solves the problem of the existing LED backlight control relying on a fixed brightness mapping table, significantly improves the switching response speed of HDR scenarios, enhances the recognition of dark field gray levels, and reduces the instantaneous peak power consumption of the backlight. Specifically, the dynamic backlight zone reconstruction mechanism can flexibly adjust the zone structure according to the image complexity, avoiding the brightness non-uniformity problem caused by fixed zones; the brightness prediction compensation algorithm adjusts the backlight output in advance through feedforward control, effectively reducing the dark field smear and highlight overexposure phenomena; the ambient light transmittance calibration mechanism dynamically corrects the backlight output gain by real-time monitoring the ambient light reflection characteristics, ensuring that the display effect remains consistent under different ambient light conditions; the cross-domain collaborative control mechanism realizes precise adaptation to different types of playback devices by loading a differential dimming strategy library, meeting the non-linear brightness requirements of streaming media content.

[0038] Embodiment 2 This application provides a practical application scenario of the control and management system based on the above LED backlight source, and the specific content is as follows: In the practical application scenario, when the user plays an HDR video, the video decoding module 1 analyzes the input video signal, extracts the brightness distribution entropy value and color gamut coverage of each frame of the image, and transmits the data packet to the backlight zone regulation unit 2; the backlight zone regulation unit 2 dynamically adjusts the backlight zone topology structure according to the image feature data, implements 3×3 sub-zone fission for high-entropy regions, and merges low-entropy regions into super zones; the zone adjustment information is transmitted to the prediction compensation module 3, and the prediction compensation module 3 uses a temporal convolutional network to predict the brightness change trend of the next 5 frames and generates a feedforward compensation coefficient to inject into the current backlight drive signal; at the same time, the photoelectric induction array 4 measures the multi-point reflectivity of the ambient light on the glass substrate 6 in real time, and transmits the ambient light reflection characteristic data to the collaborative dimming controller 5; the collaborative dimming controller 5 obtains the playback device type information through the HDMI-CEC protocol, loads the differential dimming strategy library, and generates the final backlight drive signal. The entire process realizes the information transmission between modules through a high-speed data bus, ensuring the real-time and efficient operation of the system.

[0039] The above embodiments have described in detail the composition, connection relationship, position relationship, operation principle and process of the LED backlight source control system. Each module is interconnected through a high-speed data bus to ensure the real-time and accuracy of information transmission. The system dynamically analyzes the video content characteristics, combines the ambient light conditions and the device signal source type, and adjusts the backlight zone structure and brightness output in real time to optimize the display effect and reduce energy consumption.

[0040] Embodiment 3 In order to enable relevant personnel in the technical field to fully understand and implement the present invention, the implementation principle of the present invention is supplemented and explained below in combination with specific application scenarios.

[0041] AsFigure 5 As shown, the present application also provides a control and management method for an LED backlight source, which is applied to the LED backlight source control and management system described above, and includes the following steps: Parse the input video signal through the video decoding module 1, and extract the brightness distribution entropy value and color gamut coverage of each frame of the image; Dynamically adjust the backlight partition structure according to the image brightness distribution entropy value through the backlight partition control unit 2, implement 3×3 sub-partition fission for high-entropy regions, and merge low-entropy regions into super partitions; Use the time convolutional network through the prediction compensation module 3 to predict the brightness change trend of the next 5 frames, and generate a feed-forward compensation coefficient to inject into the current backlight drive signal; Measure the multi-point reflectivity of the ambient light on the glass substrate 6 in real time through the photoelectric induction array 4, and dynamically correct the backlight output gain; Obtain the information of the playback device type through the collaborative dimming controller 5, and load a differentiated dimming strategy library for different signal sources such as game consoles or Blu-ray players.

[0042] In practical applications, when the 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 a 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 respectively, and further calculates the brightness distribution entropy value based on the histogram distribution. The brightness distribution entropy value is used to evaluate the complexity of the current frame image, and at the same time, combined with the color gamut coverage information, a data packet describing the image characteristics is generated, and the data packet is transmitted to the backlight partition control unit 2 through 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 according to the level of the brightness distribution entropy value. For high-entropy regions, 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 drive circuit, so as to achieve refined brightness adjustment; for low-entropy regions, the backlight partition control unit 2 merges them into super partitions and uniformly adjusts the brightness output to reduce energy consumption.

[0043] As Figure 2As shown, the high-entropy region is subdivided into 3×3 sub-partitions, while the low-entropy regions are merged into larger super-partitions. After the partition adjustment is completed, the backlight partition control unit 2 transmits the partition adjustment information to the prediction compensation module 3 via a high-speed data bus for further optimizing the backlight driving signal. The prediction compensation module 3 analyzes the historical frame brightness data based on a temporal convolutional network model, constructs a time series data set, and uses this data set to train a brightness change trend prediction model. By predicting the brightness change trend of the next 5 frames through the model, the prediction compensation module 3 generates a feedforward compensation coefficient and injects this coefficient into the current backlight driving signal. This process effectively reduces the dark field smear and high-brightness overexposure phenomena caused by sudden brightness changes by adjusting the backlight output in advance. The prediction compensation module 3 finally transmits the feedforward compensation coefficient to the collaborative dimming controller 5 via a high-speed data bus to comprehensively generate the final backlight driving signal. At the same time, the photoinductive array 4 is embedded inside the surface glass substrate 6 of the display screen, and its micro-photodiodes 7 are arranged in a regular grid pattern for real-time monitoring of the ambient light reflection characteristics.

[0044] As Figure 3 shown, the micro-photodiodes 7 are fixed in the regularly grid-shaped grooves machined inside the glass substrate 6 and are connected to the signal processing unit 8 via a flexible circuit board. After receiving the ambient light reflection signal, the micro-photodiodes 7 convert it into an electrical signal and transmit 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 via a high-speed data bus. This process realizes the dynamic perception of the ambient light conditions and provides a basis for subsequent correction of the backlight output gain. The collaborative dimming controller 5 communicates with an external playback device via the HDMI-CEC protocol, obtains the playback device type information, and loads the corresponding dimming strategy library.

[0045] As Figure 4 shown, the collaborative dimming controller 5 first sends a device query instruction via the HDMI interface 9, and after receiving the type information returned by the playback device, loads the differentiated dimming strategy library. The dimming strategy library contains brightness adjustment parameters for different types of playback devices to ensure 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 photoinductive array 4, generates the final backlight driving signal, and realizes the output control of the backlight brightness through the PWM signal driving circuit.

[0046] Through the above steps, the system realizes the dynamic analysis of video content features, the flexible adjustment of the backlight zoning structure, and the real-time adaptation of ambient light conditions. For example, when playing an HDR video, the 3×3 sub-zone fission mechanism in the high-entropy region can significantly improve the accuracy of local brightness adjustment, avoiding the brightness non-uniformity problem caused by traditional fixed zoning; the super-zone merging mechanism in the low-entropy region effectively reduces energy consumption. In addition, the temporal convolutional network model of the prediction compensation module 3 adjusts the backlight output in advance by predicting the brightness change trend of future frames, reducing the impact of brightness mutations on the visual effect. The ambient light reflection characteristic monitoring function of the photo-electric induction array 4 combined with the differential dimming strategy library of the collaborative dimming controller 5 ensures the consistency of the display effect under different ambient light conditions.

[0047] In summary, through the collaborative work of the video decoding module 1, the backlight zoning control unit 2, the prediction compensation module 3, the photo-electric induction array 4, and the collaborative dimming controller 5, the present invention realizes the precise control of the LED backlight. The high-speed data bus interconnection between the modules ensures the real-time and accuracy of information transmission, thereby significantly improving the HDR scene switching response speed, enhancing the dark field gray scale recognition ability, and reducing the instantaneous peak power consumption of the backlight.

[0048] In the above embodiments, the descriptions of the various embodiments have their own focuses. For the parts not detailed or recorded in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0049] Those skilled in the art can clearly understand that, for the convenience and simplicity of description, only the above division of each functional unit and module is used as an example. In actual applications, the above functions can be allocated to different functional units and modules according to needs, 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. Each functional unit and module in the embodiment can be integrated in a processing unit, or each unit can exist physically alone, or two or more units can be integrated in one unit. The above integrated unit can be implemented in the form of hardware or in the form of a software functional unit. In addition, the specific names of the functional units and modules are only for the convenience of mutual distinction and do not limit the protection scope of the present application. The specific working processes of the units and modules in the above system can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated here.

[0050] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. A professional technician can use different methods for each specific application to implement the described functions, but such implementation should not be considered to exceed the scope of the present invention.

[0051] As described above, it is only the preferred embodiment of the present invention, and there is no any form of limitation to the present invention. Although the present invention has been disclosed as above with the preferred embodiment, it is not used to limit the present invention. Any person skilled in the art can make some changes or modifications to the equivalent embodiments by using the technical content disclosed above within the scope of the technical solution of the present invention. However, as long as it does not depart from the content of the technical solution of the present invention, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence 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 an LED backlight source, characterized in that: including a video decoding module, configured to parse an input video signal and extract the image brightness distribution entropy value and the color gamut coverage; a backlight zone control unit, configured to dynamically adjust the backlight zone topology according to the image brightness distribution entropy value; a prediction compensation module, configured to generate the future frame brightness change trend based on a temporal convolutional network and generate a feedforward compensation coefficient to correct the current backlight driving signal; a photoelectric induction array, embedded inside the glass substrate on the surface of the display screen, configured to measure the ambient light reflection characteristics in real time; a collaborative dimming controller, configured to obtain the playback device type information through the HDMI-CEC protocol and load a differential dimming strategy library; wherein, the video decoding module, the backlight zone control unit, the prediction compensation module, the photoelectric induction array and the collaborative dimming controller are communicatively connected through a high-speed data bus.

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

3. A control and management system for an LED backlight source according to claim 1, characterized in that: The backlight zone control unit (2) divides the high-entropy region into 3×3 sub-zones, and independently controls the brightness output of each sub-zone; the low-entropy region is merged into a super-zone, and the brightness output is uniformly adjusted.

4. The control and management system of an LED backlight source according to claim 1, wherein: The prediction compensation module (3) collects the historical frame brightness data, constructs a time series data set, and uses the temporal convolutional network model to generate the future 5-frame brightness change trend.

5. The control and management system of an LED backlight according to claim 1, wherein: The photoelectric induction array (4) arranges a plurality of micro photodiodes (7) in a regular grid form, configured to convert the ambient light reflection signal into an electrical signal and transmit it to the signal processing unit (8).

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

7. A control and management method for an LED backlight source, applied to the control and management system according to any one of claims 1-6, characterized in that: including the following steps: parsing the input video signal through the video decoding module (1) and extracting the image brightness distribution entropy value and the color gamut coverage of each frame; dynamically adjusting the backlight zone structure according to the image brightness distribution entropy value through the backlight zone control unit (2); predicting the future 5-frame brightness change trend by using the temporal convolutional network through the prediction compensation module (3) and generating a feedforward compensation coefficient to be injected into the current backlight driving signal; measuring the multi-point reflectivity of the ambient light on the glass substrate (6) in real time through the photoelectric induction array (4) and dynamically correcting the backlight output gain; obtaining the playback device type information through the collaborative dimming controller (5) and loading a differential dimming strategy library for different signal sources.

8. A control and management method for an LED backlight source according to claim 7, characterized in that: The video decoding module (1) decomposes the input video signal into a luminance component and a chrominance component, respectively calculates the histogram distribution of each component, and calculates the image brightness distribution entropy value based on the histogram distribution; the backlight zone control unit (2) divides the high-entropy region into 3×3 sub-zones, merges the low-entropy region into a super-zone, and realizes brightness control through a PWM signal driving circuit.

9. A control and management method for an LED backlight source according to claim 7, characterized in that: The prediction compensation module (3) constructs a time series data set based on the historical frame brightness data and uses the temporal convolutional network model to generate a prediction result of the brightness change trend; The photoelectric induction array (4) receives the ambient light reflection signal through the micro photodiodes (7), and converts it into an electrical signal for transmission to the signal processing unit (8) for filtering and amplification processing.

10. A control and management method for an LED backlight source according to claim 7, characterized in that: The collaborative dimming controller (5) communicates with an external playback device through the HDMI-CEC protocol, obtains device type information and loads the corresponding dimming strategy library.

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