Screen brightness adjustment method and system

Abstract

The present application relates to the field of display technology, and in particular to a method and system for adjusting screen brightness. The method includes: obtaining a real-time playback screen of a display, analyzing the real-time playback screen, and determining theoretical projection information; obtaining light projection information; determining the light field performance capability of ambient light according to the light projection information and theoretical projection information; determining the optimal dark brightness according to the light field performance capability and the real-time playback screen; obtaining the basic properties of the display, and adjusting the output RGB value of the display according to the basic properties and the optimal dark brightness. By analyzing the screen content and ambient light information in real time, the brightness is adjusted to enhance the dark details, making the image clearer and more natural. Optimize brightness and contrast to provide more vivid color performance and higher color accuracy. Automatically adjust the brightness to adapt to different ambient light conditions to reduce eye fatigue and discomfort. Avoid screen brightness that is too bright or too dark to provide a more comfortable viewing experience.

Description

Technical Field

[0001] The present application relates to the field of display technology, and in particular to a screen brightness adjustment method and system. Background Art

[0002] With the continuous advancement of display technology, modern display devices have already possessed advanced image processing capabilities and higher color expression. Especially in devices such as TVs, computer monitors and smart phones, users have increasingly higher requirements for display effects. In order to provide a more comfortable visual experience, screen brightness adjustment technology has emerged. Especially under different ambient light conditions, automatic adjustment of screen brightness has become an important requirement.

[0003] However, existing screen brightness adjustment methods usually rely on simple ambient light sensors or manual brightness adjustment methods. Although this method can adapt to different usage scenarios to a certain extent, it cannot achieve precise brightness control and cannot fully consider the overall environmental impact of the space. Summary of the invention

[0004] The present application provides a screen brightness adjustment method and system to solve the above-mentioned problems.

[0005] In a first aspect, the present application provides a method for adjusting screen brightness, the method comprising:

[0006] Acquire a real-time playback picture of the display, analyze the real-time playback picture, and determine theoretical projection information;

[0007] Acquire light projection information; determine the light field performance capability of the ambient light according to the light projection information and the theoretical projection information;

[0008] Determining an optimal dark portion brightness according to the light field performance capability and the real-time playback image;

[0009] The basic properties of the display are obtained, and the output RGB value of the display is adjusted according to the basic properties and the optimal dark portion brightness.

[0010] Through this solution, by analyzing the picture content and ambient light information in real time, the brightness is adjusted to enhance the dark details, making the image clearer and more natural. Optimize brightness and contrast to provide more vivid color performance and higher color accuracy. Automatically adjust the brightness to adapt to different ambient light conditions to reduce eye fatigue and discomfort. Avoid too bright or too dark screen brightness to provide a more comfortable viewing experience. Allow users to adjust the brightness according to personal preferences to meet the visual needs of different users. Provide a variety of preset modes, such as reading mode, movie mode, etc., to adapt to different viewing scenarios. Automatically adjust the brightness according to the ambient light intensity to reduce unnecessary energy consumption. Reduce the power consumption of the display while maintaining a good viewing effect. Combine multiple sensor data and advanced optical models to achieve intelligent adjustment of screen brightness. Respond to environmental changes and picture content in real time to provide dynamic brightness adjustment. Consider the interaction between the display and the surrounding environment, such as light propagation, reflection, absorption, etc., to achieve more refined brightness adjustment. In complex space layouts, ensure that the screen brightness is coordinated with the space environment. Improve the user's viewing experience and satisfaction through intelligent screen brightness adjustment. Provide users with a more natural and comfortable visual environment.

[0011] Optionally, analyzing the real-time playback picture to determine theoretical projection information includes:

[0012] Acquire the sound propagation information at the current moment; analyze the sound propagation information to determine the spatial depth;

[0013] Acquire a spatially captured image, analyze the spatially captured image, and determine a placement position of the display;

[0014] Analyze the real-time playback picture to determine the emission light component;

[0015] Determine the background color of the space according to the captured image of the space;

[0016] Determining the attenuation capability of the emitted light component under the background color of the space according to the space depth and the placement position;

[0017] According to the attenuation capability, theoretical projection information of the emitted light component is determined.

[0018] Through this solution, the picture brightness can be adjusted according to the spatial depth and background color information to reduce the impact of ambient light on the viewing experience and provide a more comfortable visual environment. Optimize color performance to make the picture color more natural and realistic. By analyzing the emitted light components and attenuation capabilities, the theoretical projection brightness in a specific environment can be calculated to achieve more precise brightness control. Reduce brightness fluctuations caused by changes in ambient light and provide a stable viewing experience. Dynamically adjust the brightness according to real-time environmental changes and playback content to ensure the best display effect in different scenarios. By determining the theoretical projection information, the display can be guided to adjust its output RGB values ​​to match the theoretical brightness distribution and color performance.

[0019] Optionally, the theoretical projection information includes a theoretical projection component, and determining the light field performance capability of the ambient light according to the light projection information and the theoretical projection information includes:

[0020] Analyzing the light projection information to determine light projection data and light projection components;

[0021] Analyzing the light projection component and the theoretical projection component to determine a component difference;

[0022] Determine whether there is furniture that affects lighting based on the image taken of the space;

[0023] If so, determining basic properties affecting the furniture based on the image taken of the space;

[0024] Determine the lighting impact of each piece of furniture based on the basic attributes;

[0025] The light field performance capability of the ambient light is determined according to the component difference and the lighting influence of each piece of furniture.

[0026] Through this solution, by accurately measuring the distribution of light emitted by the display in space, light projection data can be obtained, which is the basis for adjusting the brightness and contrast of the display. Analyzing the light projection components helps to determine the propagation characteristics of light in space, providing a basis for subsequent brightness adjustment. By comparing the theoretical projection components under ideal conditions with the actual light projection components, differences due to factors such as ambient light, reflection, and scattering can be identified. The basis for adjusting the display output to adapt to ambient light. By analyzing the spatially captured images, furniture or objects that affect lighting can be identified, thereby evaluating the potential impact of furniture on the display light projection. By analyzing the properties of furniture such as material, color, and texture, the reflection, absorption, and scattering characteristics of furniture on light can be predicted, so as to better determine the impact on ambient light. Through simulation or calculation, the actual impact of each piece of furniture on ambient light can be determined, which helps to predict and adjust the light projection of the display output to reduce the adverse effects of furniture on the display effect. Comprehensively combining the light projection component differences and the lighting effects of furniture, the overall impact of ambient light on the display light projection can be accurately evaluated. This helps to optimize the brightness, contrast, and color settings of the display to adapt to different viewing environments and conditions.

[0027] Optionally, determining the attenuation capability of the emitted light component under the spatial background color according to the spatial depth and the placement position includes:

[0028] Determining the relative distance between the display and the wall according to the spatial depth and the placement position;

[0029] Determining the attenuation index of the emitted light in space according to the relative distance;

[0030] Retrieving a preset light impact database to determine the light absorption capacity of the background color of the space;

[0031] The attenuation capability of the emitted light component under the spatial background is determined according to the relative distance, the attenuation index, and the light absorption capability.

[0032] Through this solution, by accurately measuring the distance between the display and the wall, we can better understand the propagation path of light in space and provide basic data for subsequent light attenuation calculations. By calculating the attenuation index of the emitted light in space, we can predict the degree to which the light weakens as the distance increases, which is crucial for adjusting the brightness and contrast of the display. Through the information in the database, the light absorption capacity of walls of different materials and colors can be quickly determined, which is crucial for evaluating the impact of ambient light. By comprehensively considering the relative distance, attenuation index and light absorption capacity, the degree of attenuation of the emitted light component under the background color of the space can be accurately predicted, thereby achieving precise adjustment of the brightness and contrast of the display to adapt to different ambient light conditions.

[0033] Optionally, the attenuation capacity of the emitted light component under the space background is determined according to the relative distance, the attenuation index, and the light absorption capacity, and is calculated according to the following formula:

[0034] ;

[0035] in, Indicates the attenuation capability of the emitted light component under the spatial background; represents the initial light intensity corresponding to the emitted light component; represents the attenuation index; represents the relative distance; Indicates the light absorbing ability.

[0036] Through this solution, the distance between the display and the wall is accurately measured, providing basic data for subsequent light attenuation calculations and ensuring the accuracy of light intensity calculations. By calculating the attenuation index, the degree to which light weakens as the distance increases is predicted, which is essential for adjusting the brightness and contrast of the display to ensure good visual effects at different viewing distances. The ability of walls of different materials and colors to absorb light can be quickly determined, which is essential for evaluating the impact of ambient light and helps adjust the output of the display to adapt to ambient light conditions. By analyzing the material and color of the wall, the ability of the wall to absorb light can be predicted, which is essential for evaluating the impact of ambient light and helps adjust the output of the display to adapt to ambient light conditions. By comprehensively considering the relative distance, attenuation index, and light absorption capacity, the degree of attenuation of the emitted light component under the background color of the space can be accurately predicted, thereby achieving precise adjustment of the brightness and contrast of the display to adapt to different ambient light conditions.

[0037] Optionally, adjusting the output RGB value of the display according to the basic attribute and the optimal dark portion brightness includes:

[0038] Determining a display nit range of the display according to the basic attributes;

[0039] Determine the optimal contrast ratio of the display based on the light field performance capability;

[0040] Determining optimal brightness according to the optimal dark portion brightness and the optimal contrast;

[0041] Determining whether to allow adjustment of the bright area to the optimal brightness according to the display nit range;

[0042] If it is not allowed, determining the appropriate darkness according to the display nit range and the optimal contrast;

[0043] The output RGB value of the display is adjusted according to the suitable darkness and the optimal contrast.

[0044] Through this solution, by determining the brightness range of the display, reasonable limits can be set for subsequent brightness adjustments to ensure that the adjusted brightness does not exceed the performance limit of the display. By analyzing the impact of ambient light on the display, the best contrast that can be achieved in the current environment can be determined, thereby optimizing the display effect and improving the layering and clarity of the image. Under the premise of optimal contrast, finding the best balance between dark brightness and brightness can ensure that the details and layering of the image are preserved while providing sufficient brightness to meet viewing needs. Check whether the brightness in the current environment is within the nit range of the display. If it is out of range, the brightness needs to be adjusted to ensure that the performance of the display is not affected. If the current brightness exceeds the nit range of the display, the brightness needs to be reduced while maintaining the optimal contrast to ensure the best display effect of the display in the current environment. By adjusting the RGB values, precise control of darkness and contrast can be achieved, thereby optimizing the output of the display, providing a more comfortable and natural viewing experience, and ensuring that the details and layering of the image are preserved.

[0045] Optionally, determining the optimal dark portion brightness according to the light field performance capability and the real-time playback picture includes:

[0046] Determine dark details according to the real-time playback picture;

[0047] Determining the influence of the light field on the picture according to the light field performance capability;

[0048] Determine the brightness of the dark details according to the influence of the light field on the picture;

[0049] The brightness that shows the dark part details is taken as the optimal dark part brightness.

[0050] Through this solution, by analyzing the real-time playback picture, the dark details in the picture can be identified and extracted, which is crucial for maintaining the layering and details of the image when adjusting the brightness. By evaluating the light field performance capabilities of the ambient light, including characteristics such as light attenuation, reflection and scattering, the impact of ambient light on the brightness and contrast of the picture can be predicted. This helps to adjust the display output to compensate for the impact of ambient light on the picture. Based on the consideration of the light field impact, a suitable brightness level is determined to ensure that the dark details can still be clearly visible under the influence of ambient light. This helps to avoid the image being too dark or too bright while maintaining the dark details. The brightness level determined by the above steps, as the optimal dark brightness, can ensure that the dark details of the image are best displayed in the current environment. This helps to improve the overall quality of the image and the viewing experience.

[0051] Optionally, determining the attenuation index of the emitted light in space according to the relative distance includes:

[0052] Determine the angle between the display and the wall according to the spatial captured image and the relative distance;

[0053] According to the angle, determining the maximum distance, the minimum distance and the average distance between the emitted light and the wall;

[0054] An attenuation index of the emitted light in space is determined according to the maximum distance, the minimum distance, the average distance, and the angle.

[0055] Through this solution, by analyzing the spatially captured images, the angle between the display and the wall can be accurately determined, which is crucial for calculating the propagation path of the emitted light in space. The size of the angle affects the distribution and attenuation speed of the emitted light in space. By calculating the maximum distance, minimum distance, and average distance, the attenuation of the emitted light in different directions can be evaluated. The maximum distance and minimum distance can help determine the propagation range of the emitted light in space, while the average distance provides the average level of the emitted light attenuation. By calculating the attenuation index, the attenuation of the emitted light in space can be more accurately predicted. The attenuation index is an important parameter that describes the speed and degree of attenuation of the emitted light during propagation. By determining the attenuation index, the attenuation law of the emitted light in space can be better understood, thereby providing an important reference for fields such as lighting design, display calibration, and ambient light management.

[0056] Optionally, the angle includes a vertical angle formed between the display and the wall in a vertical direction and a top-down angle of the display; the attenuation index of the emitted light in space is determined according to the maximum distance, the minimum distance, the average distance and the angle, and is calculated according to the following formula:

[0057] ;

[0058] in, Represents the attenuation index of the emitted light in space; Indicates the preset index adjustment factor; represents the maximum distance; represents the minimum distance; represents the average distance; Indicates the preset curve adjustment factor; represents the vertical angle; Indicates a top-down perspective.

[0059] Through this solution, by measuring the angle between the display and the wall (including the vertical angle and the top view), the propagation direction and angular distribution of the emitted light in space can be determined. The attenuation of light in different directions can be predicted. By calculating the maximum distance, minimum distance and average distance between the emitted light and the wall, the attenuation degree of the emitted light in different directions can be evaluated. By using the formula to calculate the attenuation index, the attenuation of the emitted light in space can be more accurately predicted. By substituting the maximum distance, minimum distance, average distance, vertical angle and top view into the formula, the attenuation index can be accurately calculated.

[0060] In a second aspect, the present application provides a screen brightness adjustment system, the system comprising:

[0061] A picture analysis module, used to obtain the real-time playback picture of the display, analyze the real-time playback picture, and determine theoretical projection information;

[0062] A capability determination module, used to obtain light projection information; and determine the light field performance capability of the ambient light according to the light projection information and the theoretical projection information;

[0063] A brightness determination module, used to determine the optimal dark portion brightness according to the light field performance capability and the real-time playback picture;

[0064] The adjustment module is used to obtain the basic properties of the display and adjust the output RGB value of the display according to the basic properties and the optimal dark brightness.

[0065] Optionally, when the picture analysis module analyzes the real-time playback picture to determine theoretical projection information, it is used to:

[0066] Acquire the sound propagation information at the current moment; analyze the sound propagation information to determine the spatial depth;

[0067] Acquire a spatially captured image, analyze the spatially captured image, and determine a placement position of the display;

[0068] Analyze the real-time playback picture to determine the emission light component;

[0069] Determine the background color of the space according to the captured image of the space;

[0070] Determining the attenuation capability of the emitted light component under the background color of the space according to the space depth and the placement position;

[0071] According to the attenuation capability, theoretical projection information of the emitted light component is determined.

[0072] Optionally, the theoretical projection information includes a theoretical projection component, and when the capability determination module determines the light field performance capability of the ambient light according to the light projection information and the theoretical projection information, it is used to:

[0073] Analyzing the light projection information to determine light projection data and light projection components;

[0074] Analyzing the light projection component and the theoretical projection component to determine a component difference;

[0075] Determine whether there is furniture that affects lighting based on the image taken of the space;

[0076] If so, determining basic properties affecting the furniture based on the image taken of the space;

[0077] Determine the lighting impact of each piece of furniture based on the basic attributes;

[0078] The light field performance capability of the ambient light is determined according to the component difference and the lighting influence of each piece of furniture.

[0079] Optionally, when the picture analysis module determines the attenuation capability of the emitted light component under the spatial background color according to the spatial depth and the placement position, it is used to:

[0080] Determining the relative distance between the display and the wall according to the spatial depth and the placement position;

[0081] Determining the attenuation index of the emitted light in space according to the relative distance;

[0082] Retrieving a preset light impact database to determine the light absorption capacity of the background color of the space;

[0083] The attenuation capability of the emitted light component under the spatial background is determined according to the relative distance, the attenuation index, and the light absorption capability.

[0084] Optionally, the picture analysis module determines the attenuation capacity of the emitted light component under the space background according to the relative distance, the attenuation index, and the light absorption capacity, and calculates according to the following formula:

[0085] ;

[0086] in, Indicates the attenuation capability of the emitted light component under the spatial background; represents the initial light intensity corresponding to the emitted light component; represents the attenuation index; represents the relative distance; Indicates the light absorbing ability.

[0087] Optionally, when the adjustment module adjusts the output RGB value of the display according to the basic attribute and the optimal dark portion brightness, it is used to:

[0088] Determining a display nit range of the display according to the basic attributes;

[0089] Determine the optimal contrast ratio of the display based on the light field performance capability;

[0090] Determining optimal brightness according to the optimal dark portion brightness and the optimal contrast;

[0091] Determining whether to allow adjustment of the bright area to the optimal brightness according to the display nit range;

[0092] If it is not allowed, determining the appropriate darkness according to the display nit range and the optimal contrast;

[0093] The output RGB value of the display is adjusted according to the suitable darkness and the optimal contrast.

[0094] Optionally, when the brightness determination module determines the optimal dark portion brightness according to the light field performance capability and the real-time playback picture, it is used to:

[0095] Determine dark details according to the real-time playback picture;

[0096] Determining the influence of the light field on the picture according to the light field performance capability;

[0097] Determine the brightness of the dark details according to the influence of the light field on the picture;

[0098] The brightness that shows the dark part details is taken as the optimal dark part brightness.

[0099] Optionally, when the picture analysis module determines the attenuation index of the emitted light in space according to the relative distance, it is used to:

[0100] Determining the angle between the display and the wall according to the spatial captured image and the relative distance;

[0101] According to the angle, determining the maximum distance, the minimum distance and the average distance between the emitted light and the wall;

[0102] An attenuation index of the emitted light in space is determined according to the maximum distance, the minimum distance, the average distance, and the angle.

[0103] Optionally, the angle includes a vertical angle formed between the display and the wall in a vertical direction and a top-down angle of the display; the picture analysis module determines the attenuation index of the emitted light in space according to the maximum distance, the minimum distance, the average distance and the angle, and calculates it according to the following formula:

[0104] ;

[0105] in, Represents the attenuation index of the emitted light in space; Indicates the preset index adjustment factor; represents the maximum distance; represents the minimum distance; represents the average distance; Indicates the preset curve adjustment factor; represents the vertical angle; Indicates a top-down perspective. BRIEF DESCRIPTION OF THE DRAWINGS

[0106] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0107] Figure 1 A schematic diagram of an application scenario provided for an embodiment of the present application;

[0108] Figure 2 A flowchart of a screen brightness adjustment method provided in one embodiment of the present application;

[0109] Figure 3 A schematic diagram of the structure of a screen brightness adjustment system provided in one embodiment of the present application. DETAILED DESCRIPTION

[0110] In order to make the purpose, technical scheme and advantages of the embodiments of the present application clearer, the technical scheme in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0111] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally means that the associated objects before and after are in an "or" relationship.

[0112] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0113] With the continuous advancement of display technology, modern display devices have already possessed advanced image processing capabilities and higher color expression. Especially in devices such as TVs, computer monitors and smart phones, users have increasingly higher requirements for display effects. In order to provide a more comfortable visual experience, screen brightness adjustment technology has emerged. Especially under different ambient light conditions, automatic adjustment of screen brightness has become an important requirement.

[0114] However, existing screen brightness adjustment methods usually rely on simple ambient light sensors or manual brightness adjustment methods. Although this method can adapt to different usage scenarios to a certain extent, it cannot achieve precise brightness control and cannot fully consider the overall environmental impact of the space.

[0115] Based on this, the present application provides a screen brightness adjustment method and system, which obtains a real-time playback picture of a display, analyzes the real-time playback picture, and determines theoretical projection information; obtains light projection information; determines the light field performance capability of ambient light according to the light projection information and the theoretical projection information; determines the optimal dark brightness according to the light field performance capability and the real-time playback picture; obtains the basic properties of the display, and adjusts the output RGB value of the display according to the basic properties and the optimal dark brightness. By analyzing the picture content and ambient light information in real time, the brightness is adjusted to enhance the dark details, making the image clearer and more natural. Optimize brightness and contrast to provide more vivid color performance and higher color accuracy. Automatically adjust the brightness to adapt to different ambient light conditions to reduce eye fatigue and discomfort. Avoid too bright or too dark screen brightness to provide a more comfortable viewing experience. Allow users to adjust the brightness according to personal preferences to meet the visual needs of different users. Provide multiple preset modes, such as reading mode, movie mode, etc., to adapt to different viewing scenes. Automatically adjust the brightness according to the ambient light intensity to reduce unnecessary energy consumption. Reduce the power consumption of the display while maintaining a good viewing effect. Combine multiple sensor data and advanced optical models to achieve intelligent adjustment of screen brightness. Respond to environmental changes and screen content in real time to provide dynamic brightness adjustment. Consider the interaction between the display and the surrounding environment, such as light propagation, reflection, absorption, etc., to achieve more refined brightness adjustment. In complex spatial layouts, ensure that the screen brightness is coordinated with the spatial environment. Improve user viewing experience and satisfaction through intelligent screen brightness adjustment. Provide users with a more natural and comfortable visual environment.

[0116] Figure 1A schematic diagram of an application scenario provided for this application, when watching or working through a display, it is necessary to restore the brightness and information in an image, video or film, the method provided by this application is applied. Specifically, the method provided by this application is applied to any server, the server interacts with the display, and the real-time playback picture of the display is obtained in real time to ensure that the latest display content is analyzed, which is crucial for dynamically adjusting the brightness of the dark part to adapt to the ever-changing content and environment. By analyzing the real-time playback picture, the dark area and details in the picture are identified, and basic data is provided for subsequent light field performance evaluation and dark brightness adjustment. Obtaining light projection information helps to understand the impact of ambient light on the display picture, which is necessary for evaluating the light field performance ability, so as to more accurately adjust the output of the display to adapt to the ambient light. By comparing the theoretical projection information with the actual light projection information, the degree of influence of ambient light on the display picture is evaluated, which is crucial for determining the optimal dark brightness to ensure that the picture is still clearly visible under the influence of ambient light. Combining the light field performance ability and the real-time playback picture, the dark brightness can be adjusted more accurately, thereby optimizing the contrast and detail performance of the picture and improving the viewing experience. Determining the basic properties of the display, such as brightness range, color depth, etc., can help ensure that the adjusted RGB values ​​are within the physical limitations of the display and avoid over-adjustment that causes image distortion. By adjusting the output RGB values ​​of the display, the brightness of the dark parts of the display can be optimized in real time to adapt to changes in ambient light and content requirements, thereby providing a more comfortable and natural viewing experience. The specific implementation method can refer to the following embodiments.

[0117] Figure 2 This is a flow chart of a screen brightness adjustment method provided in an embodiment of the present application. The method of this embodiment can be applied to the server in the above scenario. Figure 2 As shown, the method includes:

[0118] S201, obtaining a real-time playback picture of the display, analyzing the real-time playback picture, and determining theoretical projection information.

[0119] The real-time playback picture can be the video or image content currently being played on the display, such as television programs, movies, game pictures, web page content, and any other dynamic images displayed on the display.

[0120] The theoretical projection information may be the image brightness distribution and color information that the display should theoretically present in the absence of interference from ambient light.

[0121] Specifically, the monitors in life need to work in a variety of different environments and lighting conditions, including indoors and outdoors, different light and dark environments, and atmosphere lights. In order to automatically adjust the screen brightness to ensure the best visual experience in different environments. For scenes that need to show dark details, the visibility of details is improved by enhancing the brightness of the dark parts to avoid picture distortion. By adjusting the RGB values, the accuracy and saturation of colors are optimized to improve the overall image quality. Use the built-in or external camera to capture the real-time playback screen of the monitor. Input the captured picture into the image processing module for preliminary image analysis, such as resolution, color saturation, brightness distribution, etc. Perform in-depth analysis of the real-time playback picture to extract image features, including information such as bright parts, dark parts, and color distribution. Use image recognition algorithms to identify objects, scenes, and dark details in the picture.

[0122] S202, obtaining light projection information; and determining the light field performance capability of the ambient light according to the light projection information and theoretical projection information.

[0123] The light projection information may be the light emitted by the display combined with the distribution of ambient light in space, such as light intensity, direction, and color.

[0124] The light field performance capability can be the effect of ambient light on the light emitted by the display, including light scattering, reflection, absorption, etc.

[0125] Specifically, a light sensor is used to obtain light projection information of the wall on which the TV is facing, such as light intensity, color temperature, and direction. The obtained light projection information is compared and analyzed with the theoretical projection information to determine the difference between the two. For example, combined with images taken in the space, the effects of furniture, walls, and other objects on light, such as reflection and absorption, are evaluated.

[0126] S203, determining the optimal dark portion brightness according to the light field performance capability and the real-time playback image.

[0127] The optimal dark portion brightness may be an optimal brightness level at which the display can display dark portion details under current ambient light conditions.

[0128] Specifically, the optimal dark brightness is calculated based on the light field performance of the ambient light and the dark details in the real-time playback image, ensuring the visibility of dark details while avoiding excessive enhancement that may cause noise amplification or color distortion.

[0129] S204: Obtain basic properties of the display, and adjust the output RGB value of the display according to the basic properties and the optimal dark brightness.

[0130] Basic attributes can be hardware parameters of the display, such as maximum brightness, contrast range, color gamut, resolution, etc.

[0131] The output RGB value can be the intensity value of the red, green, and blue color channels output by the display, which is used to control the color and brightness of the screen display.

[0132] Specifically, the RGB values ​​are adjusted according to the optimal dark brightness and the display nit range of the display to achieve the ideal brightness and contrast. If necessary, the RGB values ​​are further adjusted according to the influence of ambient light to adapt to different viewing environments.

[0133] Through this solution, by analyzing the picture content and ambient light information in real time, the brightness is adjusted to enhance the dark details, making the image clearer and more natural. Optimize brightness and contrast to provide more vivid color performance and higher color accuracy. Automatically adjust the brightness to adapt to different ambient light conditions to reduce eye fatigue and discomfort. Avoid too bright or too dark screen brightness to provide a more comfortable viewing experience. Allow users to adjust the brightness according to personal preferences to meet the visual needs of different users. Provide a variety of preset modes, such as reading mode, movie mode, etc., to adapt to different viewing scenarios. Automatically adjust the brightness according to the ambient light intensity to reduce unnecessary energy consumption. Reduce the power consumption of the display while maintaining a good viewing effect. Combine multiple sensor data and advanced optical models to achieve intelligent adjustment of screen brightness. Respond to environmental changes and picture content in real time to provide dynamic brightness adjustment. Consider the interaction between the display and the surrounding environment, such as light propagation, reflection, absorption, etc., to achieve more refined brightness adjustment. In complex space layouts, ensure that the screen brightness is coordinated with the space environment. Improve the user's viewing experience and satisfaction through intelligent screen brightness adjustment. Provide users with a more natural and comfortable visual environment.

[0134] In some embodiments, the sound propagation information at the current moment is obtained; the sound propagation information is analyzed to determine the spatial depth; a spatial captured image is obtained, and the spatial captured image is analyzed to determine the placement position of the display; the real-time playback image is analyzed to determine the emitted light component; the spatial background color is determined based on the spatial captured image; based on the spatial depth and placement position, the attenuation ability of the emitted light component under the spatial background color is determined; based on the attenuation ability, the theoretical projection information of the emitted light component is determined.

[0135] Sound propagation information can be sound data collected by a microphone or other sound capturing device, including information such as the frequency, intensity, timestamp, and location of the sound source.

[0136] Spatial depth can be the perception of distance in space, usually used to describe the position of objects or sounds in three-dimensional space. In sound, it can be estimated by the arrival time difference and intensity change of sound.

[0137] The space captured image may be an image of a space environment captured by using a camera or a video camera.

[0138] The placement position can be the specific location of the display in space.

[0139] The real-time playback screen may be video or image content displayed in real time on a display, and may be a movie, TV program, game screen, social media content, etc.

[0140] The emitted light components may be the color and intensity components of the light emitted by the display, and are typically described using an RGB (red, green, blue) color model.

[0141] The space background color may be the background color or the ambient color of the background wall that the display faces in the space.

[0142] Attenuation ability can be the ability of light to weaken due to distance and environmental factors (such as air, walls, etc.) during propagation.

[0143] Specifically, use the built-in microphone of the display device to capture the sound data in the current environment. Perform digital processing on the sound data, such as sampling, quantization, etc. Apply sound processing algorithms, such as spectrum analysis, sound source localization, etc., to determine the source and intensity of the sound. Use echolocation technology or sound wave propagation model to analyze the reflection and refraction of the sound to estimate the spatial depth. Calculate the distance between the sound source and the receiver based on the arrival time and intensity of the sound. Identify the position of the display in the image through image recognition technology, such as edge detection, feature matching, etc. Use image measurement tools, such as rulers or objects of known size, to determine the actual size and position of the display. Perform color analysis on the real-time playback screen and extract the values ​​of the RGB color channels. Use image processing algorithms, such as color space conversion, to convert the RGB values ​​into emitted light components. Analyze the background color of the spatially captured image to determine the spatial background color. Use color correction technology to adjust the color temperature of the image according to the background color. Use optical models, such as radiation transmission models, combined with spatial depth and placement position, to calculate the brightness attenuation of the emitted light component due to distance and environmental factors (such as air, wall, etc.) during the propagation process. Consider the scattering, reflection and absorption effects of ambient light on the emitted light component. Combine the emitted light components and the attenuation capability to calculate the brightness value that should be displayed on the screen in theory. Consider the physical properties of the display, such as brightness range, contrast, etc., and adjust the theoretical brightness value to suit the display capability of the display. Finally, the theoretical brightness value of each pixel is determined and used to adjust the output of the display.

[0144] Through this solution, the picture brightness can be adjusted according to the spatial depth and background color information to reduce the impact of ambient light on the viewing experience and provide a more comfortable visual environment. Optimize color performance to make the picture color more natural and realistic. By analyzing the emitted light components and attenuation capabilities, the theoretical projection brightness in a specific environment can be calculated to achieve more precise brightness control. Reduce brightness fluctuations caused by changes in ambient light and provide a stable viewing experience. Dynamically adjust the brightness according to real-time environmental changes and playback content to ensure the best display effect in different scenarios. By determining the theoretical projection information, the display can be guided to adjust its output RGB values ​​to match the theoretical brightness distribution and color performance.

[0145] In some embodiments, the theoretical projection information includes theoretical projection components, and the light projection information is analyzed to determine the light projection data and the light projection components; the light projection components and the theoretical projection components are analyzed to determine the component difference; based on the image captured in the space, it is determined whether there is furniture that affects the lighting; if so, based on the image captured in the space, the basic properties that affect the furniture are determined; based on the basic properties, the lighting impact of each piece of furniture that affects the furniture is determined; based on the component difference and the lighting impact of each piece of furniture that affects the furniture, the light field performance capability of the ambient light is determined.

[0146] The theoretical projection components can be the components of light emitted by the display under ideal conditions, including the intensity, color (RGB value) and direction of the light.

[0147] The light projection data may be distribution data of light in space actually measured by a sensor or a measuring device.

[0148] The light projection component can be the actual measured distribution of light in space, including the intensity, color, and direction of the light.

[0149] The composition difference may be the difference between a theoretical projection composition and an actual light projection composition.

[0150] Base properties can be the basic characteristics of furniture or objects that affect lighting, such as material, color, texture, shape, and position.

[0151] Lighting impact can be the effect that furniture or objects have on light projection data, including how it changes the intensity, color, and direction of the light.

[0152] Specifically, use sensors (such as light intensity meters or spectrometers) to measure the distribution of light emitted by the display in space. Record light projection data, including light intensity, color (through spectral analysis), and direction. Decompose light projection data into different light projection components, such as direct light, reflected light, and scattered light. Extract theoretical projection components from real-time playback images, that is, the light that the display should emit in an ideal situation. Compare the light projection components with the theoretical projection components and determine the differences between the two, including differences in brightness and color deviations. Analyze the spatial images captured to identify furniture or objects that affect lighting. Determine the position and size of furniture or objects in space. Classify the identified furniture, such as material, color, texture, etc. Based on the material and color of the furniture, estimate its reflection, absorption, and scattering characteristics of light. Use optical models to calculate the impact of each piece of furniture on ambient light, including its reflection and scattering of surrounding light. Estimate the degree of interference of each piece of furniture on the display light projection. Combine the differences in light projection components and the lighting effects of furniture to analyze the overall impact of ambient light on the display light projection. Evaluate how the intensity, color temperature, and direction of ambient light change the light emitted by the display. Determine the light field performance of ambient light, that is, the overall impact of ambient light on the display effect.

[0153] Through this solution, by accurately measuring the distribution of light emitted by the display in space, light projection data can be obtained, which is the basis for adjusting the brightness and contrast of the display. Analyzing the light projection components helps to determine the propagation characteristics of light in space, providing a basis for subsequent brightness adjustment. By comparing the theoretical projection components under ideal conditions with the actual light projection components, differences due to factors such as ambient light, reflection, and scattering can be identified. The basis for adjusting the display output to adapt to ambient light. By analyzing the spatially captured images, furniture or objects that affect lighting can be identified, thereby evaluating the potential impact of furniture on the display light projection. By analyzing the properties of furniture such as material, color, and texture, the reflection, absorption, and scattering characteristics of furniture on light can be predicted, so as to better determine the impact on ambient light. Through simulation or calculation, the actual impact of each piece of furniture on ambient light can be determined, which helps to predict and adjust the light projection of the display output to reduce the adverse effects of furniture on the display effect. Comprehensively combining the light projection component differences and the lighting effects of furniture, the overall impact of ambient light on the display light projection can be accurately evaluated. This helps to optimize the brightness, contrast, and color settings of the display to adapt to different viewing environments and conditions.

[0154] In some embodiments, the relative distance between the display and the wall is determined according to the spatial depth and placement position; the attenuation index of the emitted light in the space is determined according to the relative distance; the preset light impact database is called to determine the light absorption capacity of the spatial background color; based on the relative distance, attenuation index, and light absorption capacity, the attenuation capacity of the emitted light component under the spatial background color is determined.

[0155] Relative distance can be used to describe the distance between a light source (such as a display) and a receiver (such as a wall).

[0156] The decay exponent may be how quickly the intensity of light decreases with increasing distance; in the inverse square law, the decay exponent is usually inversely proportional to the square of the distance, i.e., the intensity of the light is inversely proportional to the square of the distance.

[0157] The preset light impact database may be a data set containing light absorption, reflection and scattering characteristics of different materials and colors, which is stored in a preset database.

[0158] Light absorption capacity can be the degree to which an object absorbs light. Objects of different materials and colors have different light absorption capacities, which affects the propagation and display effects of light in space.

[0159] Specifically, a depth sensor (such as a laser rangefinder, a depth camera) is used to measure the distance between the display and the wall. The distance value is recorded as the basis for the subsequent calculation of the attenuation of the emitted light. According to the principles of physical optics, such as the inverse square law, the attenuation index of the emitted light in space is calculated using the relative distance. Taking into account environmental factors, such as dust and humidity in the air, the attenuation index needs to be adjusted. Information related to the background color of the space is retrieved from the preset light impact database. The light absorption capacity of walls of different materials and colors is determined. Combining the relative distance, attenuation index and light absorption capacity, an optical model is used to calculate the degree of attenuation of the emitted light component under the background color of the space. Taking into account the influence of reflected light, the calculation results need to be adjusted to reflect the actual light propagation situation.

[0160] Through this solution, by accurately measuring the distance between the display and the wall, we can better understand the propagation path of light in space and provide basic data for subsequent light attenuation calculations. By calculating the attenuation index of the emitted light in space, we can predict the degree to which the light weakens as the distance increases, which is crucial for adjusting the brightness and contrast of the display. Through the information in the database, the light absorption capacity of walls of different materials and colors can be quickly determined, which is crucial for evaluating the impact of ambient light. By comprehensively considering the relative distance, attenuation index and light absorption capacity, the degree of attenuation of the emitted light component under the background color of the space can be accurately predicted, thereby achieving precise adjustment of the brightness and contrast of the display to adapt to different ambient light conditions.

[0161] In some embodiments, the attenuation capacity of the emitted light component under the spatial background is determined according to the relative distance, attenuation index, and light absorption capacity, and is calculated according to the following formula (1):

[0162] (1)

[0163] in, It indicates the attenuation of the emitted light component under the background color of space; Indicates the initial light intensity corresponding to the emitted light component; represents the decay index; Indicates relative distance; Indicates the ability to absorb light.

[0164] Specifically, in a complex environment, light intensity is not only affected by distance, but also by the absorption, reflection and scattering of light by environmental objects. Through this formula (1), the actual attenuation of light in space can be more accurately predicted. By calculating the attenuation capacity, the brightness and contrast of the display can be adjusted to adapt to different ambient light conditions, thereby providing the best display effect. In different viewing environments, the ambient light and objects have different absorption capacities for light. Formula (1) can help the display automatically adjust its output to adapt to different environmental conditions.

[0165] The attenuation of light usually follows the law of exponential attenuation, that is, the light intensity decreases exponentially as the propagation distance increases. In a vacuum, this attenuation can be ignored, but in a real environment, due to dust, water vapor and other particles in the air and the scattering and absorption of the air itself, the light intensity will decrease with the increase of distance. The basic exponential attenuation formula is: ,in It is the distance The light intensity at is the initial light intensity, is the decay exponent, is the relative distance. The absorption capacity of objects in the environment (such as walls) will affect the light intensity. This absorption capacity can be expressed as a coefficient It depends on the material and color of the object. This coefficient is usually obtained through experimental measurement or from a preset light impact database. In order to consider the absorption of light by environmental objects, the absorption coefficient ρ is introduced into the exponential decay model. In this way, the final attenuation ability calculation formula becomes ,in It is the ability to absorb light.

[0166] Through this solution, the distance between the display and the wall is accurately measured, providing basic data for subsequent light attenuation calculations and ensuring the accuracy of light intensity calculations. By calculating the attenuation index, the degree to which light weakens as the distance increases is predicted, which is essential for adjusting the brightness and contrast of the display to ensure good visual effects at different viewing distances. The ability of walls of different materials and colors to absorb light can be quickly determined, which is essential for evaluating the impact of ambient light and helps adjust the output of the display to adapt to ambient light conditions. By analyzing the material and color of the wall, the ability of the wall to absorb light can be predicted, which is essential for evaluating the impact of ambient light and helps adjust the output of the display to adapt to ambient light conditions. By comprehensively considering the relative distance, attenuation index, and light absorption capacity, the degree of attenuation of the emitted light component under the background color of the space can be accurately predicted, thereby achieving precise adjustment of the brightness and contrast of the display to adapt to different ambient light conditions.

[0167] In some embodiments, the display nit range of the display is determined based on basic properties; the optimal contrast of the display is determined based on the light field performance capability; the optimal brightness is determined based on the optimal dark brightness and the optimal contrast; based on the display nit range, it is determined whether to allow adjustment of the bright area to the optimal brightness; if not allowed, the appropriate darkness is determined based on the display nit range and the optimal contrast; and the output RGB value of the display is adjusted based on the appropriate darkness and the optimal contrast.

[0168] Display nits range can be the brightness range that a display can output, usually measured in nits.

[0169] Optimal contrast can be the best contrast ratio between light and dark that a display can provide in a specific viewing environment. Contrast refers to the difference in brightness between the brightest and darkest parts of an image. Optimal contrast helps improve image clarity and detail.

[0170] Optimum brightness can be the best brightness level that a display can provide in a specific viewing environment. Brightness refers to the overall brightness level of an image. Optimum brightness helps ensure that images are clearly visible under different lighting conditions while avoiding visual fatigue caused by too much brightness or too little darkness.

[0171] The appropriate darkness can be the appropriate darkness level that the display needs to be adjusted to in a specific viewing environment. The appropriate darkness refers to the brightness level of the darker part of the image. The appropriate darkness helps to maintain the details and layering of the image while avoiding image blur caused by too much darkness.

[0172] Specifically, obtain the manufacturer's specifications of the display to determine the minimum and maximum brightness values ​​it supports (usually in nits). Determine the brightness adjustment range of the display so that brightness adjustment can be performed in subsequent steps. Analyze the light field performance capabilities of the ambient light, including characteristics such as light attenuation, reflection, and scattering. Determine the optimal contrast level that the display can achieve in the current environment based on the influence of ambient light. Under the premise of determining the optimal contrast, find the optimal balance between dark brightness and brightness to ensure the details and layering of the image. According to the optimal contrast, adjust the brightness to match the dark brightness to provide the best visual experience. Check whether the brightness in the current environment is within the nit range of the display. If the current brightness has reached the optimal brightness, no adjustment is required; if not, proceed to the next step of adjustment. If the current brightness exceeds the nit range of the display, the brightness needs to be reduced while maintaining the optimal contrast. Based on the nit range and optimal contrast of the display, calculate the appropriate darkness to ensure the best display effect of the display in the current environment. Use the appropriate darkness and optimal contrast as parameters to adjust the output RGB values ​​of the display. By adjusting the RGB values, precise control of darkness and contrast can be achieved, optimizing the display's output for a more comfortable and natural viewing experience.

[0173] Through this solution, by determining the brightness range of the display, reasonable limits can be set for subsequent brightness adjustments to ensure that the adjusted brightness does not exceed the performance limit of the display. By analyzing the impact of ambient light on the display, the best contrast that can be achieved in the current environment can be determined, thereby optimizing the display effect and improving the layering and clarity of the image. Under the premise of optimal contrast, finding the best balance between dark brightness and brightness can ensure that the details and layering of the image are preserved while providing sufficient brightness to meet viewing needs. Check whether the brightness in the current environment is within the nit range of the display. If it is out of range, the brightness needs to be adjusted to ensure that the performance of the display is not affected. If the current brightness exceeds the nit range of the display, the brightness needs to be reduced while maintaining the optimal contrast to ensure the best display effect of the display in the current environment. By adjusting the RGB values, precise control of darkness and contrast can be achieved, thereby optimizing the output of the display, providing a more comfortable and natural viewing experience, and ensuring that the details and layering of the image are preserved.

[0174] In some embodiments, dark details are determined based on real-time playback images; the influence of the light field on the image is determined based on the light field performance capability; the brightness for displaying dark details is determined based on the influence of the light field on the image; and the brightness for displaying dark details is used as the optimal dark brightness.

[0175] Dark details can be the details displayed in the lower brightness areas of the image. In image processing and display technology, the clarity of dark details is crucial to the overall image quality. Maintaining dark details helps to show the depth and layering of the image and avoid loss of details.

[0176] The impact of the light field on the picture can be the combined effect of ambient light, reflected light, scattered light, etc. on the image display effect, such as the increase or decrease of picture brightness, the change of contrast, the generation of color deviation, etc.

[0177] Specifically, analyze the content of the currently playing picture and identify the dark areas in the picture. Extract pixel information of the dark areas, especially pay attention to the clarity and visibility of the dark details. Use a light sensor or camera to measure the brightness and color temperature of the ambient light. Analyze the scattering, reflection and absorption characteristics of the ambient light to evaluate its impact on the brightness, contrast and color of the picture. Based on the measurement results of the ambient light, predict the brightness performance of the dark details under the influence of the ambient light. Adjust the brightness setting of the display to compensate for the impact of the ambient light on the dark details and ensure that the dark details are still visible. Based on the above adjustments, determine a brightness setting so that the dark details are clearly visible under the current ambient light. Use this brightness setting as the optimal dark brightness to adjust the output of the display to provide the best viewing experience.

[0178] Through this solution, by analyzing the real-time playback picture, the dark details in the picture can be identified and extracted, which is crucial for maintaining the layering and details of the image when adjusting the brightness. By evaluating the light field performance capabilities of the ambient light, including characteristics such as light attenuation, reflection and scattering, the impact of ambient light on the brightness and contrast of the picture can be predicted. This helps to adjust the display output to compensate for the impact of ambient light on the picture. Based on the consideration of the light field impact, a suitable brightness level is determined to ensure that the dark details can still be clearly visible under the influence of ambient light. This helps to avoid the image being too dark or too bright while maintaining the dark details. The brightness level determined by the above steps, as the optimal dark brightness, can ensure that the dark details of the image are best displayed in the current environment. This helps to improve the overall quality of the image and the viewing experience.

[0179] In some embodiments, the angle between the display and the wall is determined based on the spatially captured image and the relative distance; the maximum distance, minimum distance and average distance between the emitted light and the wall are determined based on the angle; and the attenuation index of the emitted light in space is determined based on the maximum distance, minimum distance, average distance and angle.

[0180] The maximum distance may be the farthest distance that emitted light travels from the display to a wall or any other receiving surface in a particular scene.

[0181] The minimum distance may be the closest distance that emitted light can travel from the display to a wall or any other receiving surface in a particular scenario.

[0182] The average distance may be the average distance that emitted light travels from, for example, a display to a wall or any other receiving surface.

[0183] Specifically, use a camera to capture a spatial image containing a display and a wall. Mark the position of the display and the position of the wall in the image. Use image processing software, such as CAD or image editing software, to measure the straight-line distance between the display and the wall. Determine the intersection of the center point of the display and the surface of the wall to form a straight line. Calculate the vertical distance (relative distance) from the center point of the display to the wall. Calculate the angle between the display and the wall using trigonometric functions, usually using the inverse tangent function to calculate the angle ,in . Mark the propagation path of emitted light (such as display light) in the aerial image. , calculate the maximum distance, minimum distance and average distance between the emitted light and the wall. The distance can be determined by considering the diffusion angle of the emitted light in space. The maximum distance is usually in the direction of the emitted light, along the angle The minimum distance is usually in the direction of the emitted light, along the angle The average distance is the average of the maximum distance and the minimum distance. Collect experimental data or theoretical models about the attenuation of emitted light, which usually show the relationship between light intensity and distance. Substitute the maximum distance, minimum distance and average distance into the exponential attenuation model and estimate the attenuation exponent by comparing the light intensity at different distances. The least squares method or other statistical methods can be used to fit the data and determine the best value for the attenuation exponent.

[0184] Through this solution, by analyzing the spatially captured images, the angle between the display and the wall can be accurately determined, which is crucial for calculating the propagation path of the emitted light in space. The size of the angle affects the distribution and attenuation speed of the emitted light in space. By calculating the maximum distance, minimum distance, and average distance, the attenuation of the emitted light in different directions can be evaluated. The maximum distance and minimum distance can help determine the propagation range of the emitted light in space, while the average distance provides the average level of the emitted light attenuation. By calculating the attenuation index, the attenuation of the emitted light in space can be more accurately predicted. The attenuation index is an important parameter that describes the speed and degree of attenuation of the emitted light during propagation. By determining the attenuation index, the attenuation law of the emitted light in space can be better understood, thereby providing an important reference for fields such as lighting design, display calibration, and ambient light management.

[0185] In some embodiments, the angle includes the vertical angle formed between the display and the wall in the vertical direction and the top view angle of the display when viewed from above; the attenuation index of the emitted light in space is determined according to the maximum distance, the minimum distance, the average distance and the angle, and is calculated according to the following formula (2):

[0186] (2)

[0187] in, Represents the attenuation index of the emitted light in space; Indicates the preset index adjustment factor; Indicates the maximum distance; Indicates the minimum distance; represents the average distance; Indicates the preset curve adjustment factor; represents the vertical angle; Indicates a top-down perspective.

[0188] Specifically, the attenuation of the emitted light is usually inversely proportional to the square of the distance, i.e. . Using the linear decay model, that is, , here It is an approximation of the linear attenuation model. The attenuation of light is also related to the viewing angle. It is usually considered that light in the vertical direction The attenuation is minimal in the horizontal direction. The attenuation is maximum. and Represent the attenuation factors in the vertical and horizontal directions respectively. and are preset adjustment factors used to adjust the shape and intensity of the attenuation curve according to specific application scenarios. These factors can be determined through experiments or empirical data. By using formula (2), the attenuation of emitted light in space can be predicted more accurately, which is very important in areas such as lighting design, display calibration, and ambient light management. When designing a lighting system or display layout, the attenuation of light in space needs to be considered in order to provide uniform lighting or display effects.

[0189] Through this solution, by measuring the angle between the display and the wall (including the vertical angle and the top view), the propagation direction and angular distribution of the emitted light in space can be determined. The attenuation of light in different directions can be predicted. By calculating the maximum distance, minimum distance and average distance between the emitted light and the wall, the attenuation degree of the emitted light in different directions can be evaluated. By using the formula to calculate the attenuation index, the attenuation of the emitted light in space can be more accurately predicted. By substituting the maximum distance, minimum distance, average distance, vertical angle and top view into the formula, the attenuation index can be accurately calculated.

[0190] Figure 3 A schematic diagram of the structure of a screen brightness adjustment system provided in an embodiment of the present application is shown in FIG. Figure 3 As shown, the screen brightness adjustment system 300 of this embodiment includes: a picture analysis module 301 , a capability determination module 302 , a brightness determination module 303 , and an adjustment module 304 .

[0191] The picture analysis module 301 is used to obtain the real-time playback picture of the display, analyze the real-time playback picture, and determine the theoretical projection information;

[0192] A capability determination module 302 is used to obtain light projection information; and determine the light field performance capability of the ambient light according to the light projection information and the theoretical projection information;

[0193] A brightness determination module 303, used to determine the optimal dark portion brightness according to the light field performance capability and the real-time playback picture;

[0194] The adjustment module 304 is used to obtain the basic properties of the display, and adjust the output RGB value of the display according to the basic properties and the optimal dark brightness.

[0195] Optionally, when the picture analysis module 301 analyzes the real-time playback picture and determines the theoretical projection information, it is used to:

[0196] Acquire the sound propagation information at the current moment; analyze the sound propagation information to determine the spatial depth;

[0197] Acquire a spatially captured image, analyze the spatially captured image, and determine a placement position of the display;

[0198] Analyze the real-time playback picture to determine the emission light component;

[0199] Determine the background color of the space according to the captured image of the space;

[0200] Determining the attenuation capability of the emitted light component under the background color of the space according to the space depth and the placement position;

[0201] According to the attenuation capability, theoretical projection information of the emitted light component is determined.

[0202] Optionally, the theoretical projection information includes a theoretical projection component, and when the capability determination module 302 determines the light field performance capability of the ambient light according to the light projection information and the theoretical projection information, it is used to:

[0203] Analyzing the light projection information to determine light projection data and light projection components;

[0204] Analyzing the light projection component and the theoretical projection component to determine a component difference;

[0205] Determine whether there is furniture that affects lighting based on the image taken of the space;

[0206] If so, determining basic properties affecting the furniture based on the image taken of the space;

[0207] Determine the lighting impact of each piece of furniture based on the basic attributes;

[0208] The light field performance capability of the ambient light is determined according to the component difference and the lighting influence of each piece of furniture.

[0209] Optionally, when the picture analysis module 301 determines the attenuation capability of the emitted light component under the spatial background color according to the spatial depth and the placement position, it is configured to:

[0210] Determining the relative distance between the display and the wall according to the spatial depth and the placement position;

[0211] Determining the attenuation index of the emitted light in space according to the relative distance;

[0212] Retrieving a preset light impact database to determine the light absorption capacity of the background color of the space;

[0213] The attenuation capability of the emitted light component under the spatial background is determined according to the relative distance, the attenuation index, and the light absorption capability.

[0214] Optionally, the picture analysis module 301 determines the attenuation capacity of the emitted light component under the space background according to the relative distance, the attenuation index, and the light absorption capacity, and calculates according to the following formula:

[0215] ;

[0216] in, Indicates the attenuation capability of the emitted light component under the spatial background; represents the initial light intensity corresponding to the emitted light component; represents the attenuation index; represents the relative distance; Indicates the light absorbing ability.

[0217] Optionally, when the adjustment module 304 adjusts the output RGB value of the display according to the basic attribute and the optimal dark portion brightness, it is used to:

[0218] Determining a display nit range of the display according to the basic attributes;

[0219] Determine the optimal contrast ratio of the display based on the light field performance capability;

[0220] Determining optimal brightness according to the optimal dark portion brightness and the optimal contrast;

[0221] Determining whether to allow adjustment of the bright area to the optimal brightness according to the display nit range;

[0222] If it is not allowed, determining the appropriate darkness according to the display nit range and the optimal contrast;

[0223] The output RGB value of the display is adjusted according to the suitable darkness and the optimal contrast.

[0224] Optionally, when the brightness determination module 303 determines the optimal dark portion brightness according to the light field performance capability and the real-time playback picture, it is used to:

[0225] Determine dark details according to the real-time playback picture;

[0226] Determining the influence of the light field on the picture according to the light field performance capability;

[0227] Determine the brightness of the dark details according to the influence of the light field on the picture;

[0228] The brightness that shows the dark part details is taken as the optimal dark part brightness.

[0229] Optionally, when the picture analysis module 301 determines the attenuation index of the emitted light in space according to the relative distance, it is used to:

[0230] Determine the angle between the display and the wall according to the spatial captured image and the relative distance;

[0231] According to the angle, determining the maximum distance, the minimum distance and the average distance between the emitted light and the wall;

[0232] An attenuation index of the emitted light in space is determined according to the maximum distance, the minimum distance, the average distance, and the angle.

[0233] Optionally, the angle includes a vertical angle formed between the display and the wall in a vertical direction and a top-down angle of the display; the picture analysis module 301 determines the attenuation index of the emitted light in space according to the maximum distance, the minimum distance, the average distance and the angle, and calculates it according to the following formula:

[0234] ;

[0235] in, Represents the attenuation index of the emitted light in space; Indicates the preset index adjustment factor; represents the maximum distance; represents the minimum distance; represents the average distance; Indicates the preset curve adjustment factor; represents the vertical angle; Indicates a top-down perspective.

[0236] The system of this embodiment can be used to execute the method of any of the above embodiments. The implementation principles and technical effects are similar and will not be described in detail here.

Claims

1. A screen brightness adjustment method, characterized in that: include: Acquire a real-time playback picture of the display, analyze the real-time playback picture, and determine theoretical projection information; Obtaining light projection information; Determining a light field performance capability of the ambient light according to the light projection information and the theoretical projection information; Determining an optimal dark portion brightness according to the light field performance capability and the real-time playback image; Obtaining basic properties of the display, and adjusting output RGB values ​​of the display according to the basic properties and the optimal dark portion brightness; The analyzing the real-time playback picture to determine theoretical projection information includes: Acquire the sound propagation information at the current moment; analyze the sound propagation information to determine the spatial depth; Acquire a spatially captured image, analyze the spatially captured image, and determine a placement position of the display; Analyze the real-time playback picture to determine the emission light component; Determine the background color of the space according to the captured image of the space; Determining the attenuation capability of the emitted light component under the background color of the space according to the space depth and the placement position; Determining theoretical projection information of the emitted light component according to the attenuation capability; The theoretical projection information includes a theoretical projection component, and determining the light field performance capability of the ambient light according to the light projection information and the theoretical projection information includes: Analyzing the light projection information to determine light projection data and light projection components; Analyzing the light projection component and the theoretical projection component to determine a component difference; Determine whether there is furniture that affects lighting based on the image taken of the space; If so, determining basic properties affecting the furniture based on the image taken of the space; Determine the lighting impact of each piece of furniture based on the basic attributes; Determining the light field performance capability of the ambient light according to the component difference and the lighting influence of each piece of furniture; The step of determining the attenuation capability of the emitted light component under the spatial background color according to the spatial depth and the placement position includes: Determining the relative distance between the display and the wall according to the spatial depth and the placement position; Determining the attenuation index of the emitted light in space according to the relative distance; Retrieving a preset light impact database to determine the light absorption capacity of the background color of the space; The attenuation capability of the emitted light component under the spatial background is determined according to the relative distance, the attenuation index, and the light absorption capability.

2. The method according to claim 1, characterized in that The attenuation capacity of the emitted light component under the space background is determined according to the relative distance, the attenuation index, and the light absorption capacity, and is calculated according to the following formula: ； in, Indicates the attenuation capability of the emitted light component under the spatial background; represents the initial light intensity corresponding to the emitted light component; represents the attenuation index; represents the relative distance; Indicates the light absorbing ability.

3. The method according to claim 1, characterized in that The step of adjusting the output RGB value of the display according to the basic attribute and the optimal dark portion brightness includes: Determining a display nit range of the display according to the basic attributes; Determine the optimal contrast ratio of the display based on the light field performance capability; Determining optimal brightness according to the optimal dark portion brightness and the optimal contrast; Determining whether to allow adjustment of the bright area to the optimal brightness according to the display nit range; If it is not allowed, determining the appropriate darkness according to the display nit range and the optimal contrast; The output RGB value of the display is adjusted according to the suitable darkness and the optimal contrast.

4. The method according to claim 1, characterized in that: The determining of the optimal dark portion brightness according to the light field performance capability and the real-time playback picture includes: Determine dark details according to the real-time playback picture; Determining the influence of the light field on the picture according to the light field performance capability; Determine the brightness of the dark details according to the influence of the light field on the picture; The brightness that shows the dark part details is taken as the optimal dark part brightness.

5. The method according to claim 2, characterized in that: Determining the attenuation index of the emitted light in space according to the relative distance includes: Determining the angle between the display and the wall according to the spatial captured image and the relative distance; According to the angle, determining the maximum distance, the minimum distance and the average distance between the emitted light and the wall; An attenuation index of the emitted light in space is determined according to the maximum distance, the minimum distance, the average distance, and the angle.

6. The method according to claim 5, characterized in that The angle includes the vertical angle formed between the display and the wall in the vertical direction and the top view angle of the display when viewed from above; the attenuation index of the emitted light in space is determined according to the maximum distance, the minimum distance, the average distance and the angle, and is calculated according to the following formula: ， in, Represents the attenuation index of the emitted light in space; Indicates the preset index adjustment factor; represents the maximum distance; represents the minimum distance; represents the average distance; Indicates the preset curve adjustment factor; Indicates the vertical angle; indicates the top-down angle.

7. A screen brightness adjustment system, characterized in that: The method as claimed in any one of claims 1 to 6 comprises: A picture analysis module is used to obtain the real-time playback picture of the display, analyze the real-time playback picture, and determine theoretical projection information; A capability determination module, used to obtain light projection information; and determine the light field performance capability of the ambient light according to the light projection information and the theoretical projection information; A brightness determination module, used to determine the optimal dark portion brightness according to the light field performance capability and the real-time playback picture; The adjustment module is used to obtain the basic properties of the display and adjust the output RGB value of the display according to the basic properties and the optimal dark brightness.

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