Liquid crystal screen brightness adjusting method and system, product and medium

Abstract

The invention discloses a liquid crystal screen brightness adjusting method and system, a product and a medium. The method comprises the following steps: identifying a light spot by analyzing a non-light-source area of which the brightness exceeds a preset threshold in an environment image, and obtaining the position and area of the light spot and the corresponding light source position and intensity information; based on the acquired normal direction of the light spot reflecting surface and the incident angle of the light source, combining an indoor distribution structure diagram and applying a light reflection law to calculate a propagation path and a reflection point position of reflected light; when the reflection point falls in the display area of the liquid crystal screen, the reflection intensity value and the influence area of the reflection point are calculated according to parameters such as the light source intensity, the light spot area, the incident angle and the propagation distance, the brightness of the display area is adjusted accordingly, and the adjustment amplitude is in direct proportion to the reflection intensity value. By implementing the technical scheme provided by the invention, the visual definition of the display content of the liquid crystal screen in a complex light environment is improved.

Description

Technical Field

[0001] The present application relates to the field of display, and in particular to a method, system, product and medium for adjusting the brightness of a liquid crystal screen. Background Art

[0002] With the rapid development of smart home technology, the use of smart display devices in home environments is becoming increasingly popular. Especially in special environments such as bathrooms, smart LCD displays not only meet users' needs for information display, but also provide practical functions such as weather and time, greatly improving users' convenience and intelligent experience.

[0003] In related technologies, ambient light sensors are typically used to detect ambient light intensity and automatically adjust the LCD screen's display brightness based on the detected light intensity. This method collects ambient light data in real time and combines it with a preset brightness adjustment algorithm to ensure that the displayed content always remains within the appropriate brightness range, providing users with a good visual experience.

[0004] However, in complex environments with multiple reflective surfaces, such as KTV boxes, there are a large number of reflective materials on the walls and multiple light sources in the space. In complex lighting environments, the light emitted by the light sources will be reflected multiple times, forming strong glare in local areas of the LCD screen. Relying solely on the ambient light sensor to adjust the overall brightness cannot effectively deal with the situation where users cannot clearly see the display content in the area where glare occurs, affecting the practicality of the LCD screen. Summary of the Invention

[0005] The present application provides a method, system, product and medium for adjusting the brightness of a liquid crystal display (LCD) screen, which are used to improve the visual clarity of the content displayed on the LCD screen in complex lighting environments.

[0006] In a first aspect of the present application, a method for adjusting brightness of a liquid crystal screen is provided, the method comprising: When there is a light spot in the collected environmental image, the spot position, spot area, light source position and light source intensity of the light spot are obtained; the surface normal direction of the light spot reflection surface corresponding to the light spot position is obtained, and the light source incident angle is determined according to the light source position and the light spot position. In combination with the indoor distribution structure diagram, the surface normal direction, the light source incident angle, the light source intensity and the light spot position, the reflection propagation path of the reflected light of the light spot is calculated based on the law of light reflection, and the reflection point position of the reflected light is determined; when the reflection point position is within the display area of ​​the LCD screen, the reflection intensity value and reflection area of ​​the reflection point within the display area of ​​the LCD screen are calculated according to the basic laws of optics based on the light source intensity, the light spot area, the incident angle between the reflection propagation path and the LCD screen surface, and the distance between the light spot position and the reflection point position; according to the reflection intensity value, the display brightness of the display reflective area of ​​the LCD screen corresponding to the reflection area is adjusted.

[0007] In the above embodiment, by identifying and analyzing the characteristics of the light spots in the environment, and combining the law of light reflection to track the light propagation path, local brightness compensation of the LCD display area is finally achieved. In the related art, it is difficult to deal with the problem of local display interference in complex light environments by relying solely on the ambient light sensor for overall brightness adjustment. In the above embodiment, by establishing a complete light propagation analysis link, the entire process from the emission of the light source to the final formation of reflection interference on the LCD screen is modeled and calculated: first, the light spot characteristic parameters are obtained through image analysis, and then the light propagation path is predicted based on the law of reflection, and then the reflection intensity distribution is calculated according to the basic laws of optics, and finally the corresponding display compensation is performed. This local area compensation strategy can effectively deal with the complex light interference problem in a multi-reflective surface environment, especially in scenes with multiple light sources and complex reflective surface materials, which improves the visual clarity of the LCD display content in complex light environments.

[0008] In conjunction with some embodiments of the first aspect, in some embodiments, after determining the position of the reflection point of the reflected light, the method further includes: When the detected ambient humidity value exceeds the preset humidity threshold, the corresponding humidity correction coefficient is obtained from the preset ambient humidity-humidity correction coefficient correspondence table according to the ambient humidity value, and the light spot area is corrected according to the humidity correction coefficient to obtain the corrected light spot area. The water molecule density in the air is calculated according to the ambient humidity value, and based on the light scattering principle and the water molecule density, the light scattering angle at the preset unit distance is obtained; the light scattering angle is applied to the reflection propagation path in turn to obtain the scattering propagation paths of multiple scattered lights and multiple scattering reflection points.

[0009] In the above embodiment, the spot area is first corrected by obtaining a correction factor based on the ambient humidity value. Then, by calculating the density of water molecules and their scattering effect on light, the divergence behavior of light during propagation is predicted. This light propagation analysis method that considers the influence of humidity is particularly useful in high-humidity conditions such as air-conditioned environments or humid weather, where the scattering effect of water molecules causes complex spatial distribution changes in light. By cumulatively calculating scattering angles, a more realistic light propagation path is obtained, thereby more accurately predicting and compensating for the impact of humidity on display effects, improving the visual clarity of LCD screens under various humidity conditions.

[0010] In conjunction with some embodiments of the first aspect, in some embodiments, after applying the light scattering angles sequentially to the reflection propagation paths to obtain the scattering propagation paths of multiple scattered light rays and multiple scattering reflection points, the method further includes: The scattering cross section within a preset unit volume is calculated based on the density of water molecules; the total scattering loss is calculated based on the scattering cross section and the distance between the light spot position and the scattering reflection point; when the scattering reflection point is within the display area of ​​the LCD screen, the scattering intensity value and scattering area of ​​the scattering reflection point within the display area of ​​the LCD screen are calculated based on the light source intensity, the corrected light spot area, the incident angle between the scattering propagation path and the LCD screen surface, and the distance between the light spot position and the scattering reflection point according to the basic laws of optics; and the display brightness of the second display reflective area of ​​the LCD screen corresponding to the scattering area is adjusted based on the scattering intensity value.

[0011] In the above embodiment, the scattering cross section is first calculated based on the water molecule density, and then the total scattering loss is evaluated in combination with the propagation distance. This analysis method, based on the principles of physical optics, reflects the attenuation of light energy during propagation. Particularly in high-humidity environments, the presence of a large number of water molecules can lead to significant loss of light energy and changes in its spatial distribution. By comprehensively considering multiple parameters such as light source intensity, corrected spot area, and incident angle, the actual impact intensity and area of ​​the scattered light on the LCD screen are calculated, and display compensation is performed accordingly. This compensation strategy, which takes scattering loss into account, can more accurately address display interference caused by humidity environments, especially in scenes with uneven humidity, improving the visual clarity of LCD display content in complex lighting environments.

[0012] In conjunction with some embodiments of the first aspect, in some embodiments, obtaining the surface normal direction of the light spot reflection surface corresponding to the light spot position, determining the light source incident angle based on the light source position and the light spot position, and calculating the reflection propagation path of the reflected light of the light spot based on the law of light reflection in combination with the indoor distribution structure diagram, the surface normal direction, the light source incident angle, the light source intensity, and the light spot position, and determining the reflection point position of the reflected light specifically includes: Perform real-time three-dimensional scene perception analysis on the environmental image and construct a three-dimensional model of the real-time environment, and identify whether the three-dimensional model contains temporary objects that are not in the indoor distribution structure model; if so, identify the temporary object position and temporary object collection shape of the temporary object and obtain the light transmittance of the temporary object through the highlight performance of the temporary object in the environmental image, and combine it with the indoor distribution structure model to improve the three-dimensional model to obtain the actual scene model; use the ray tracing algorithm to obtain the surface normal direction of the light spot reflection surface corresponding to the light spot position, the light source incident angle determined by combining the light source position and the light spot position, the light source intensity and the light spot position, and calculate the reflection propagation path of the reflected light of the light spot in the actual scene model according to the law of light reflection, and determine the reflection point position of the reflected light.

[0013] In the above-described embodiment, the environment is reconstructed in three dimensions and compared with a pre-stored model of the interior structure to identify temporary objects. The scene model is then updated to reflect the actual environmental state by analyzing the position, shape, and light transmittance of the temporary objects. In scenes where furniture is frequently moved or where many items are temporarily placed, environmental changes can be captured promptly and their impact on light propagation assessed. By applying a ray tracing algorithm to the updated actual scene model, the complete light propagation path, including temporary objects, is predicted. This allows for more effective response to display interference caused by dynamic environments and improves the visual clarity of content displayed on LCD screens in complex and constantly changing lighting conditions.

[0014] In conjunction with some embodiments of the first aspect, in some embodiments, after adjusting the display brightness of the reflective area of ​​the liquid crystal screen corresponding to the reflective area, the method further includes: When the light source is a colored light source, the corresponding color information is obtained; based on the material of the colored light spot reflection surface corresponding to the colored light source, the spectral characteristics corresponding to the color information, and the reflection propagation path, the color deviation and color saturation change introduced by the colored reflected light projected on the reflection area are calculated; based on the color deviation brightness and color saturation change, the display reflective area is reversely color compensated according to the color adjustment rules.

[0015] In the above-described embodiment, the color information of the colored light source is obtained, and then the color change pattern of the light during propagation is calculated in combination with the spectral response characteristics of the reflective surface material. This analysis method, which considers material-spectrum interaction, is particularly useful in scenes with colored lighting, such as KTV rooms. Because different wavelengths of light will produce varying degrees of color shift and saturation changes after reflection, the color distortion problem caused by colored reflected light is eliminated by calculating these color changes and performing corresponding reverse compensation. This compensation strategy based on spectral analysis can better cope with display interference in colored light source environments, especially in complex scenes with multi-color light source interaction, improving the color reproduction and visual clarity of the content displayed on the LCD screen.

[0016] In conjunction with some embodiments of the first aspect, in some embodiments, after performing reverse color compensation adjustment on the display reflective area according to the color cast and color saturation changes according to the color adjustment rules, the method further includes: When it is monitored that the color switching rate of the color light source exceeds a preset color switching rate threshold or the flickering rate exceeds a preset flickering rate threshold, the compensation adjustment amplitude of the reverse color compensation adjustment is reduced.

[0017] In the above embodiment, by detecting the color switching rate and flickering frequency of the light source, when these parameters exceed the preset threshold, the compensation adjustment amplitude is appropriately reduced. This adaptive compensation strategy avoids over-responding to rapidly changing light source states and prevents frequent color fluctuations in the displayed content. In particular, in scenarios using fast-changing color devices such as LED colorful light strips or stage lights, due to the frequent changes in light source color, if compensation is performed completely in accordance with the changes, the display effect may be unstable. By dynamically adjusting the compensation intensity, the visual stability of the displayed content is ensured while maintaining a certain compensation effect, thereby improving the visual clarity of the content displayed on the LCD screen in a dynamic color light environment.

[0018] In conjunction with some embodiments of the first aspect, in some embodiments, after calculating the reflection intensity value and the reflection area of ​​the reflection point within the display area of ​​the liquid crystal screen according to basic optical laws, the method further includes: When there is partial or complete spatial overlap of two or more reflective areas within the display area of ​​the LCD screen, the overlapping area is a mixed reflective area, and all reflection path parameters contributing to the mixed reflective area are retrieved; based on the nonlinear perception characteristics of human vision to multi-color light mixing and the microscopic scattering characteristics of light, the mixed equivalent visual brightness within the mixed reflective area is calculated in combination with the reflection path parameters; and the display brightness of the display area of ​​the LCD screen corresponding to the mixed reflective area is adjusted according to the mixed equivalent visual brightness.

[0019] In the above embodiment, overlapping reflective areas within the display area are identified and all reflection path parameters affecting these areas are collected. Based on the human eye's nonlinear perception of multi-color light mixing and the principle of light microscattering, the equivalent visual brightness of these overlapping areas is calculated. In environments with multiple mirrors or glass curtain walls, multiple reflective surfaces create a complex superposition of light effects in the same area. By simulating the actual perception mechanism of the human eye, the combined visual impact of overlapping light is evaluated. This enables display compensation that better aligns with human perception, improving the visual clarity of content displayed on LCD screens in these multi-reflective environments.

[0020] In a second aspect, an embodiment of the present application provides a liquid crystal screen brightness adjustment system, which includes: one or more processors and a memory; the memory is coupled to the one or more processors, and the memory is used to store computer program code, and the computer program code includes computer instructions, and the one or more processors call the computer instructions to enable the liquid crystal screen brightness adjustment system to execute the method described in the first aspect and any possible implementation method of the first aspect.

[0021] In a third aspect, an embodiment of the present application provides a computer program product comprising instructions. When the above-mentioned computer program product is run on a liquid crystal screen brightness adjustment system, the above-mentioned liquid crystal screen brightness adjustment system executes the method described in the first aspect and any possible implementation method of the first aspect.

[0022] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium comprising instructions. When the instructions are executed on a liquid crystal screen brightness adjustment system, the liquid crystal screen brightness adjustment system executes the method described in the first aspect and any possible implementation method of the first aspect.

[0023] It is understandable that the LCD screen brightness adjustment system provided in the second aspect, the computer program product provided in the third aspect, and the computer storage medium provided in the fourth aspect are all used to execute the LCD screen brightness adjustment method provided in the embodiments of the present application. Therefore, the beneficial effects that can be achieved can be referred to the beneficial effects of the corresponding methods and will not be repeated here.

[0024] One or more technical solutions provided in the embodiments of this application have at least the following technical effects or advantages: This application identifies and analyzes the characteristics of the light spots in the environment, combines the law of light reflection to track the light propagation path, and finally realizes local brightness compensation of the LCD display area. In the related art, it is difficult to deal with the problem of local display interference in complex light environments by relying solely on the ambient light sensor for overall brightness adjustment. In the above embodiment, by establishing a complete light propagation analysis link, the entire process from the emission of the light source to the final formation of reflection interference on the LCD screen is modeled and calculated: first, the light spot characteristic parameters are obtained through image analysis, and then the light propagation path is predicted based on the law of reflection, and then the reflection intensity distribution is calculated according to the basic laws of optics, and finally the corresponding display compensation is performed. This local area compensation strategy can effectively deal with the complex light interference problem in a multi-reflective surface environment, especially in scenes with multiple light sources and complex reflective surface materials, which improves the visual clarity of the LCD display content in a complex light environment.

[0025] 2. This application corrects the spot area by obtaining a correction coefficient based on the ambient humidity value. Then, by calculating the density of water molecules and their scattering effect on light, the divergent behavior of light during propagation is predicted. This light propagation analysis method that considers the influence of humidity is particularly effective in high-humidity conditions such as air-conditioned environments or humid weather. The scattering effect of water molecules causes complex spatial distribution changes in light. By cumulatively calculating the scattering angles, a more realistic light propagation path is obtained, enabling more accurate prediction and compensation of the impact of humidity on display effects, improving the visual clarity of content displayed on LCD screens under various humidity conditions.

[0026] 3. This application reconstructs the environment in three dimensions and identifies temporary objects by comparing them with pre-stored indoor structural models. It then updates the scene model to reflect the actual environmental state by analyzing the position, shape, and light transmittance of temporary objects. In scenes where furniture is frequently moved or where many items are temporarily placed, it is possible to capture environmental changes in a timely manner and evaluate their impact on light propagation. By applying a ray tracing algorithm to the updated actual scene model, the complete light propagation path, including temporary objects, is predicted, enabling more effective response to display interference caused by dynamic environments and improving the visual clarity of content displayed on LCD screens in complex and constantly changing lighting environments. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 This is a flow chart of a method for adjusting the brightness of a liquid crystal display in an embodiment of the present application; Figure 2 This is another flow chart of the method for adjusting the brightness of a liquid crystal display in an embodiment of the present application; Figure 3 This is a schematic diagram of an exemplary hardware structure of a liquid crystal screen brightness adjustment system in an embodiment of the present application. DETAILED DESCRIPTION

[0028] The terms used in the following examples of the present application are for the purpose of describing specific embodiments only and are not intended to limit the present application. As used in the specification and appended claims of the present application, the singular expressions "a," "an," "said," "above," "the," and "this" are intended to include plural expressions as well, unless the context clearly indicates otherwise. It should also be understood that the term "and / or" used in the present application refers to and encompasses any or all possible combinations of one or more of the listed items.

[0029] In the following, the terms "first" and "second" are used for descriptive purposes only and should not be understood to imply or suggest relative importance or implicitly indicate the number of the technical features indicated. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the embodiments of this application, unless otherwise specified, "plurality" means two or more.

[0030] In related technologies, LCD screen brightness adjustment mainly relies on real-time monitoring of surrounding light intensity by ambient light sensors. This method automatically adjusts display brightness by collecting ambient light data and executing a preset brightness adjustment algorithm. However, in actual application scenarios, especially in complex indoor lighting environments, due to the presence of multiple reflective surfaces and multiple light sources, light can be reflected multiple times, causing uneven interference in local areas of the LCD screen. This local light interference phenomenon may cause glare areas on the LCD screen, affecting the user's actual viewing experience. Traditional brightness adjustment solutions based on overall ambient light intensity are difficult to meet actual needs, especially in professional scenarios such as conference rooms and exhibition halls, where clarity issues in local display areas seriously affect the display effect.

[0031] In an embodiment of this application, a method for adjusting LCD screen brightness based on light propagation path analysis is proposed. This method first uses image analysis technology to identify the characteristics of light spots in the environment, obtaining key parameters such as their location and area. Then, combining information about the interior structure and the laws of light reflection, a complete light propagation model is established to predict the propagation path and affected area of ​​the reflected light. Finally, based on the laws of optics, the reflection intensity is calculated to compensate for the affected area within the eyepiece. This refined local brightness adjustment strategy overcomes the limitations of related technologies that rely solely on overall light intensity, providing a solution for improving display quality in complex lighting environments.

[0032] Figure 1 The following is a flow chart of a method for adjusting the brightness of a liquid crystal display according to an embodiment of the present invention, comprising the following steps: S101 : When a light spot exists in a collected environment image, obtain the light spot position, light spot area, light source position, and light source intensity of the light spot.

[0033] Specifically, a camera is used to capture images of the indoor environment. In the captured images, the spatial location information of light sources, including lighting fixtures and natural lighting locations such as windows, is determined based on a pre-stored indoor layout diagram. These known light source areas are marked. In the environmental image, excluding the marked light source areas, continuous areas whose image grayscale values ​​exceed a preset brightness threshold are identified as light spots. The specific recognition process is as follows: first, the image is grayscaled to convert the RGB image into a grayscale image; then, an image segmentation algorithm is used to extract areas whose grayscale values ​​exceed the preset brightness threshold; finally, the marked light source areas are excluded to obtain the light spot area.

[0034] For the identified light spot, obtain the light spot position: determined by calculating the centroid coordinates of the light spot area; the light spot area: calculated by counting the number of pixels in the light spot area; the light source position: obtained directly from the indoor layout structure diagram; the light source intensity: collected in real time through a light meter or light sensor.

[0035] S102. Obtain the surface normal direction of the light spot reflection surface corresponding to the light spot position, determine the light source incident angle according to the light source position and the light spot position, and calculate the reflection propagation path of the reflected light of the light spot based on the law of light reflection in combination with the indoor distribution structure diagram, the surface normal direction, the light source incident angle, the light source intensity and the light spot position, and determine the reflection point position of the reflected light.

[0036] Specifically, the system first identifies the likely light source based on the shape and area of ​​the light spot on the reflective surface. By analyzing the light spot's geometry (e.g., a circular spot corresponds to a point light source, a rectangular spot may correspond to a window, and an elliptical spot may represent an oblique light source), and combining the attenuation relationship between the spot area and the distance from the light source to the reflective surface, the system selects the most likely corresponding light source from a pre-labeled set of light sources. Once the light source is determined, the incident angle of the light is calculated based on the light source and light spot positions.

[0037] The surface normal direction is determined by analyzing the material characteristics and surface morphology of the reflective surface. For flat reflective surfaces (such as mirrors or glass), the geometric orientation is directly used as the normal direction. For curved or irregular reflective surfaces, the local normal direction is calculated based on the degree of distortion at the edge of the light spot. Based on the obtained surface normal direction and the angle of incidence, the law of light reflection (the angle of incidence equals the angle of reflection) is applied to calculate the propagation direction of the reflected light. Combined with the spatial geometry information in the indoor distribution structure diagram, a ray tracing algorithm is used to simulate the light propagation path until it intersects with other surfaces, thereby determining the location of the reflection point.

[0038] In some embodiments, in indoor environments with multiple reflections, such as those composed of parallel mirrors or glass curtain walls, light propagates back and forth between multiple reflective surfaces, forming a complex network of reflection paths. In this scenario, single-reflection light path prediction methods struggle to account for the multiple distribution and attenuation of light energy. Furthermore, as the number of reflections increases, the divergence and energy loss of light exhibit nonlinear variations, making traditional display compensation schemes unable to accurately predict the intensity and position of light ultimately reaching the LCD screen.

[0039] By establishing a recursive reflection model, the energy distribution ratio and propagation direction of light are calculated at each reflection. The initial light spot energy value is first determined. Then, at each reflection, the energy attenuation coefficient is calculated based on the material properties of the reflective surface. The next reflection path is determined based on the surface normal direction. Through iterative calculations, the energy transfer process of light between multiple reflective surfaces is tracked until the light energy decays below a preset threshold or reaches the LCD surface.

[0040] The above steps simulate the behavior of light during multiple reflections, thereby accurately predicting the light propagation path and energy distribution in a complex reflection environment and improving the display compensation accuracy in multiple reflection scenarios.

[0041] S103. When the position of the reflection point is within the display area of ​​the LCD screen, the reflection intensity value and reflection area of ​​the reflection point within the display area of ​​the LCD screen are calculated according to the basic laws of optics based on the light source intensity, the light spot area, the incident angle between the reflection propagation path and the LCD screen surface, and the distance between the light spot position and the reflection point position.

[0042] Specifically, the reflection point is determined to be within the LCD display area by comparing the reflection point coordinates with the spatial coordinate range of the LCD display area. When the reflection point falls within the LCD display area, the reflection intensity value and the reflection area are calculated.

[0043] The calculation of the reflection intensity value is based on the energy attenuation law of light: first, the initial intensity of the light source is considered, and then the distance attenuation is calculated based on the length of the reflection propagation path; secondly, the cosine attenuation coefficient is calculated in combination with the incident angle; finally, the spot area is used as an energy density correction factor to obtain the final reflection intensity value.

[0044] The reflection area is determined by first calculating the angle between the reflected light and the LCD screen surface, with the reflection point as the center. This angle determines the shape of the reflected light spot projected on the LCD screen. The area of ​​the reflection area is then calculated based on the light spot area and propagation distance, following the law of optical divergence. Finally, the shape of the reflection area is corrected for distortion based on the incident angle to determine the actual reflection impact area. The reflection intensity is then distributed within this area using a Gaussian distribution to form a complete reflection light intensity distribution map.

[0045] In some embodiments, when multiple reflective areas spatially overlap within the display area of ​​a liquid crystal screen, equivalent brightness calculation can be performed by establishing a multi-light source mixed reflection model, thereby achieving compensation control of the overlapping areas.

[0046] First, overlapping areas within the display area are identified. By comparing the spatial coordinates and ranges of each reflective area, any intersections detected between the boundary coordinates of two or more reflective areas are marked as mixed reflection areas, and the specific location and shape of the mixed reflection areas are determined. For each mixed reflection area, all reflection path parameters contributing to the area are collected, including the angle of incidence of each light beam on the LCD surface, the initial intensity of the corresponding light source, and the reflection intensity value reaching the area after reflection.

[0047] Based on the reflection path parameters, the Weber-Fechner law is applied to convert physical brightness values ​​into perceived brightness values. The nonlinear response characteristics of the human eye to light intensity are calculated. Stevens' power law is also applied to account for the nonlinear changes in perceived intensity at different brightness levels. The Rayleigh scattering law is then combined to evaluate the microscopic scattering effect of light. Specifically, the intensity of each incident light beam is first converted to the intensity perceived by the human eye. The directional scattering effect caused by the incident angle is then considered. Finally, a weighted superposition method is used to determine the equivalent visual brightness value of the mixed reflection area.

[0048] Finally, based on the calculated mixed equivalent visual brightness, the brightness of the LCD display area corresponding to the mixed reflection area is adjusted using an inverse proportional relationship. When the mixed equivalent visual brightness is high, the brightness output of the display area is reduced accordingly; otherwise, the display brightness is increased, thereby ensuring that the display content can still maintain appropriate contrast and clarity under the interference of overlapping reflections. This mixed light processing method, based on the visual characteristics of the human eye, achieves more accurate display compensation by calculating the combined impact of overlapping light, thereby improving the display quality of LCD screens in multiple reflection environments.

[0049] S104: Adjust the display brightness of the reflective area of ​​the liquid crystal screen corresponding to the reflective area according to the reflection intensity value.

[0050] Specifically, the display area's brightness is dynamically adjusted based on the previously calculated reflection intensity value. Within the reflective display area of ​​the display screen corresponding to the reflective area, a brightness compensation mapping relationship is first established: the reflection intensity value is converted into a compensation value for the display brightness, with the compensation value being proportional to the reflection intensity value. By adjusting the LCD screen's backlight brightness or pixel display intensity, the display brightness of the corresponding area is controlled to offset the interference caused by reflected light.

[0051] In some embodiments, when the light source is a colored light source, color compensation adjustment can be performed by obtaining color information and combining it with the material characteristics of the reflective surface, while taking into account the dynamic change characteristics of the light source to achieve intelligent color compensation control of the display area.

[0052] First, a color sensor acquires the spectral information of the color light source and builds a database of light source color characteristics. For each color, its energy distribution characteristics within the visible spectrum are analyzed. This precise spectral analysis provides a reliable data foundation for subsequent color compensation.

[0053] Next, we analyze the effect of the reflective surface material on light of different wavelengths. By measuring the spectral reflectance curve of the reflective surface, we can accurately predict the energy loss and dispersion of light of different wavelengths during the reflection process. Combined with the geometric characteristics of the reflection propagation path, we can calculate the color changes of light during propagation, including color shifts caused by selective absorption of the material and color saturation reduction caused by multiple reflections.

[0054] Based on the acquired color change data, reverse color compensation is performed. By adjusting the RGB channel values ​​of the corresponding area of ​​the LCD screen, accurate compensation for color shift is achieved. This compensation is not a simple reverse superposition, but takes into account the human eye's perception of different colors, ensuring a more natural display effect after compensation.

[0055] A dynamic monitoring mechanism is also introduced to track the changing characteristics of color light sources in real time. When rapid color changes or flickering are detected, the compensation intensity is reduced accordingly. This adaptive adjustment strategy avoids over-response to rapid changes, preventing display flicker or color jitter, and improving the stability of the viewing experience.

[0056] The above steps resolve the display interference caused by colored light sources through color analysis and compensation control. Combining material characteristics with dynamic monitoring not only improves color reproduction accuracy but also ensures display stability through adaptive adjustment, improving LCD display quality under different lighting environments.

[0057] In the above embodiment, by identifying and analyzing the characteristics of the light spots in the environment, and combining the law of light reflection to track the light propagation path, local brightness compensation of the LCD display area is finally achieved. In the related art, it is difficult to deal with the problem of local display interference in complex light environments by relying solely on the ambient light sensor for overall brightness adjustment. In the above embodiment, by establishing a complete light propagation analysis link, the entire process from the emission of the light source to the final formation of reflection interference on the LCD screen is modeled and calculated: first, the light spot characteristic parameters are obtained through image analysis, and then the light propagation path is predicted based on the law of reflection, and then the reflection intensity distribution is calculated according to the basic laws of optics, and finally the corresponding display compensation is performed. This local area compensation strategy can effectively deal with the complex light interference problem in a multi-reflective surface environment, especially in scenes with multiple light sources and complex reflective surface materials, which improves the visual clarity of the LCD display content in complex light environments.

[0058] In other embodiments of the present application, in high-humidity environments, such as air-conditioned rooms or on humid days, the increase in water molecules in the air can cause light to scatter, changing its propagation characteristics and causing deviations in the light propagation calculation method. The LCD screen brightness adjustment method provided in this application can calculate and compensate for the light interference effect in humid environments by monitoring the ambient humidity in real time and establishing a correlation model between water molecule density and light scattering.

[0059] like Figure 2 FIG. 1 is another flow chart of a method for adjusting brightness of a liquid crystal display provided in an embodiment of the present application, comprising the following steps: S201 : When a light spot exists in the collected environment image, obtain the light spot position, light spot area, light source position, and light source intensity of the light spot.

[0060] S202: Perform real-time three-dimensional scene perception analysis on the environmental image and construct a three-dimensional model of the real-time environment, and identify whether the three-dimensional model contains temporary objects that are not in the indoor distribution structure model.

[0061] Specifically, the system performs real-time 3D scene reconstruction and analysis on environmental images, reconstructing 3D point cloud data using SfM (Structure from Motion) technology. During the point cloud generation process, feature extraction and matching are performed simultaneously to establish spatial correspondences between image sequences, thereby constructing a 3D scene model with depth information.

[0062] After the 3D model is constructed, it is registered and compared with the pre-existing indoor distribution structure model. The registration process uses the Iterative Closest Point (ICP) algorithm to ensure that the two models are compared in the same coordinate system. By calculating the difference between the two models, temporary objects not recorded in the indoor distribution structure model can be identified. These temporary objects may be newly added furniture, equipment, or temporarily placed items.

[0063] When temporary objects are detected, the shadows they cast on light propagation are analyzed; if no temporary objects are detected, real-time monitoring is continued to maintain sensitivity to environmental changes.

[0064] S203: If yes, identify the temporary object position and temporary object set shape of the temporary object and obtain the light transmittance of the temporary object through the highlight performance of the temporary object in the environment image, and improve the three-dimensional model to obtain the actual scene model in combination with the indoor distribution structure model.

[0065] Specifically, when a temporary object is detected, its spatial coordinates are determined using 3D reconstruction data, and its geometric shape is captured using edge detection and contour extraction algorithms. Instance segmentation technology, based on deep learning, accurately delineates the object's boundaries and creates a precise 3D geometric model of the object.

[0066] After acquiring the basic form of the object, the focus is on analyzing the object's light transmission characteristics. By detecting the highlight distribution pattern on the object's surface in the environmental image, the light transmittance of the object's material can be inferred. Specifically, a distribution map of highlight points on the object's surface is first extracted, and the highlight intensity, shape, and distribution characteristics are analyzed. For transparent or translucent objects, their highlights typically exhibit characteristic scattering and transmission patterns. Based on these characteristics, combined with a pre-established material-optical property database, the object's light transmittance is quantitatively assessed.

[0067] After a complete evaluation of the relevant data of temporary solids, combined with the indoor distribution structure model, a complete actual scene model is obtained.

[0068] S204. Use a ray tracing algorithm to obtain the surface normal direction of the light spot reflection surface corresponding to the light spot position, the light source incident angle, light source intensity, and light spot position determined by combining the light source position and the light spot position, calculate the reflection propagation path of the reflected light of the light spot in accordance with the law of light reflection in the actual scene model, and determine the reflection point position of the reflected light.

[0069] Specifically, a ray tracing algorithm is applied in the actual scene model to simulate the light propagation path.

[0070] First, known parameters such as the light source position and the spot position are imported into the actual scene model to establish the initial conditions for light propagation. Based on these conditions, a ray equation is constructed, which includes the light source position as the starting point and the incident direction vector determined by the light source to the spot position.

[0071] During ray tracing, a layered approach is employed: first, at the macro level, the intersection of light rays with scene objects is tracked, using a spatial partitioning algorithm to quickly locate possible intersection areas. Then, at the micro level, the intersection points of light rays with the surface of the object are precisely calculated to determine the location of the reflection points. For each reflection point, the law of reflection is applied based on the surface normal and the angle of incidence to calculate the propagation direction of the reflected light. This process takes into account the material properties of the surface, including the reflectivity and scattering characteristics.

[0072] When processing complex scenes, the system iteratively calculates the multiple reflections and transmissions of light. When light encounters a transparent or translucent object, the propagation paths of both the reflected and transmitted light are calculated, and the energy distribution is based on the optical properties of the material. The system also considers the attenuation of light intensity during propagation, calculating the energy loss using the inverse square law of distance and the material's absorption coefficient.

[0073] S205. When the detected ambient humidity value exceeds the preset humidity threshold, a corresponding humidity correction coefficient is obtained from a preset ambient humidity-humidity correction coefficient correspondence table according to the ambient humidity value, and the light spot area is corrected according to the humidity correction coefficient to obtain a corrected light spot area.

[0074] Specifically, the spot area is dynamically corrected by real-time monitoring of the ambient humidity.

[0075] First, a humidity sensor is deployed to continuously collect ambient humidity data. When the detected ambient humidity exceeds a preset threshold, a light spot area correction mechanism is triggered. This mechanism uses a pre-established table of ambient humidity and humidity correction coefficients, constructed based on extensive experimental data, to reflect the pattern of light spot diffusion under different humidity conditions. The humidity correction coefficient increases with increasing ambient humidity, demonstrating the positive correlation between humidity and light scattering.

[0076] During the correction process, piecewise linear interpolation is used to ensure accurate correction coefficients even when humidity values ​​fall between discrete data points in the table. After obtaining the correction coefficients, the original spot area is multiplied by the correction coefficients to obtain the corrected spot area that accounts for humidity. This correction mechanism accounts for the light scattering effect of water molecules in the air and can more accurately predict the spot diffusion effect in real-world environments.

[0077] In practical applications, air humidity significantly affects the propagation characteristics of light. This is because water molecules in the air increase the scattering and diffuse reflection of light, resulting in a larger spot size compared to an ideal dry environment. When the ambient humidity rises, the number of water molecules suspended in the air increases, which causes Mie and Rayleigh scattering of the incident light, causing the originally concentrated light beam to gradually diverge during propagation, ultimately increasing the spot size reaching the reflective surface. Furthermore, excessive humidity can cause water droplets to adhere to objects and walls, affecting light reflection. Therefore, by introducing a humidity correction mechanism, it is possible to more accurately compensate for the light reflection effects in real-world environments.

[0078] S206: Calculate the water molecule density in the air according to the ambient humidity value, and obtain the light scattering angle per unit distance based on the light scattering principle and the water molecule density.

[0079] Specifically, based on the ideal gas equation of state and the water vapor partial pressure formula, the ambient humidity value is converted to the number of water molecules per unit volume. This process considers the effect of temperature on the water vapor saturation pressure and calculates the actual water vapor partial pressure using the Magnus formula, resulting in a more accurate water molecule density value.

[0080] After obtaining the water molecule density, light scattering theory is applied to modeling. Because water molecules are much smaller than the wavelength of visible light, the Rayleigh scattering effect is primarily considered. Using the Rayleigh scattering cross section formula, combined with the polarizability of water molecules and the wavelength of incident light, the scattering intensity distribution of a single water molecule is calculated. The scattering effect of a single water molecule is then combined with the actual density to determine the total scattering effect per unit distance. This cumulative effect ultimately manifests as the divergence angle of light during propagation.

[0081] When the density of water molecules is high, light may undergo multiple scattering, resulting in actual divergence angles greater than those predicted by single scattering. By introducing Monte Carlo simulation methods, we can simulate the complex propagation paths of photons in high-humidity environments and obtain a scattering angle distribution that is more consistent with actual conditions.

[0082] S207 , applying the light scattering angles to the reflection propagation paths in sequence to obtain a plurality of scattered light scattering propagation paths and a plurality of scattered reflection points.

[0083] Specifically, the light propagation path is discretized into several unit distance segments. A pre-calculated scattering angle is applied to each distance segment, and the light propagation direction is updated through vector operations. This segment-by-segment accumulation method considers the spatial continuity of the scattering effect and can reflect the progressive divergence of light during propagation.

[0084] For each propagation segment, the original light beam is split into multiple sub-rays based on the scattering angle. Each sub-ray carries a portion of the energy and propagates in different directions. The energy distribution ratio of each sub-ray is determined by the principle of energy conservation, and the propagation path of each sub-ray is tracked. When these scattered rays encounter a reflective surface, the new reflection point is recorded, and the law of reflection and scattering effects are further applied to calculate the subsequent propagation path.

[0085] To control computational complexity, an energy threshold mechanism is introduced: when the energy of a scattered ray falls below a preset threshold, tracing of that ray is stopped. A spatial grid index is also established to quickly identify areas potentially affected by scattered rays, improving computational efficiency. For each newly generated reflection point, its impact on the display area is evaluated, and a ranking of its importance is established.

[0086] In some embodiments, after obtaining the scattered reflection point, the scattering cross section and total scattering loss are calculated, and the impact of the scattered light on the LCD screen is evaluated in combination with the basic laws of optics, and the display compensation strategy is adjusted accordingly to compensate for the scattering effect.

[0087] First, based on the known water molecule density, the scattering cross section per unit volume is calculated. This calculation utilizes Rayleigh scattering theory, taking into account the polarizability of water molecules and the wavelength of the incident light. This calculation yields the scattering cross section for each water molecule. This is then multiplied by the number of molecules per unit volume to obtain the total scattering cross section. This parameter directly reflects the probability that light will interact with water molecules during propagation.

[0088] Next, the total scattering loss is calculated based on the scattering cross section and the light propagation distance. Using the Beer-Lambert law, the scattering cross section, propagation distance, and water molecule density are substituted into the formula to obtain the light intensity attenuation coefficient. This calculation method takes into account the cumulative effect of scattering losses and can reflect the energy loss during light propagation.

[0089] Once the scattered reflection point is determined to fall within the LCD display area, the scattering intensity calculation phase begins. This calculation process comprehensively considers multiple factors: using the initial light source intensity as a benchmark, the energy density distribution is calculated using the corrected spot area; the cosine attenuation effect is calculated, taking into account the scattering propagation path and the angle of incidence on the LCD; the geometric attenuation is calculated based on the propagation distance; and finally, the previously calculated scattering loss is added to obtain the final scattering intensity value. Furthermore, the extent of the scattering area must be determined, which requires considering the divergence characteristics of the scattered light and the impact of the incident angle on the imaging.

[0090] Display compensation is performed based on the calculated scattering intensity. The adjustment amplitude is proportional to the scattering intensity value, and this linear relationship ensures accurate compensation. A gradual compensation strategy is employed to establish a brightness compensation gradient within the scattering area, avoiding sudden changes at the compensation boundary. For overlapping scattering areas, the final compensation intensity is determined through superposition calculation.

[0091] The above technical steps achieve quantitative compensation for scattering effects through rigorous physical modeling and calculations. This compensation method, based on scattering mechanisms, not only predicts the impact of scattered light on the display, but also eliminates display interference caused by scattering through an adaptive compensation strategy, improving display quality in high humidity and complex lighting environments.

[0092] S208. When the position of the reflection point is within the display area of ​​the LCD screen, the reflection intensity value and reflection area of ​​the reflection point within the display area of ​​the LCD screen are calculated according to the basic laws of optics based on the light source intensity, the light spot area, the incident angle between the reflection propagation path and the LCD screen surface, and the distance between the light spot position and the reflection point position.

[0093] S209: Adjust the display brightness of the reflective area of ​​the liquid crystal screen corresponding to the reflective area according to the reflection intensity value.

[0094] Steps S201, S208-S209 and Figure 1 In the illustrated embodiment, steps S101 and S103 - S104 are similar, and the descriptions of steps S101 and S103 - S104 may be referred to, and will not be repeated here.

[0095] In the above-described embodiment, compensation for display interference in humid environments is achieved by establishing a correlation between ambient humidity and light propagation characteristics. First, a humidity sensor monitors the ambient state. When the humidity exceeds a threshold, a preset correction coefficient is used to correct the light spot area. The density of water molecules in the air is then calculated based on the humidity value, and the scattering angle per unit distance is predicted using light scattering theory. Finally, the accumulated scattering effect is applied to the calculation of the light propagation path. In environments such as air-conditioned rooms or humid weather, the scattering of water molecules causes complex spatial distribution changes in light. By modeling this scattering effect, the light interference pattern in humidity environments can be more accurately captured, enabling more accurate display compensation and improving the visual clarity of content displayed on LCD screens under various humidity conditions.

[0096] The following introduces an exemplary LCD screen brightness adjustment system 300 provided in an embodiment of the present application. Figure 3 3 is a schematic diagram of an exemplary hardware structure of the LCD screen brightness adjustment system 300 provided in an embodiment of the present application.

[0097] In some embodiments, the LCD screen brightness adjustment system 300 is a computer device or the LCD screen brightness adjustment system 300 includes a computer device. The computer device includes a processor, a memory, and a network interface connected via a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The database of the computer device is used to store data. The network interface of the computer device is used to communicate with other external terminals or servers through a network connection. In some embodiments, the network interface can be a wired network interface, and in some embodiments, the network interface can also be a wireless network interface. When the computer program is executed by the processor, the method in the embodiment of the present application is implemented.

[0098] Those skilled in the art will understand that Figure 3The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0099] As described above, the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the above embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the above embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application.

[0100] As used in the above embodiments, the term “when…” may be interpreted as “if…” or “after…” or “in response to determining…” or “in response to detecting…”, depending on the context. Similarly, the phrases “upon determining…” or “if (stated condition or event) is detected” may be interpreted as “if determining…” or “in response to determining…” or “upon detecting (stated condition or event)” or “in response to detecting (stated condition or event)”, depending on the context.

[0101] In the above embodiments, all or part of the embodiments can be implemented using software, hardware, firmware, or any combination thereof. When implemented using software, all or part of the embodiments can be implemented in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the processes or functions described in the embodiments of this application are generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, optical fiber, digital subscriber line) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that can be accessed by a computer, or a data storage device such as a server or data center that integrates one or more available media. The available medium can be magnetic media (e.g., floppy disk, hard disk, tape), optical media (e.g., DVD), or semiconductor media (e.g., solid-state drive).

[0102] Those skilled in the art will appreciate that all or part of the process steps in the above-described method embodiments can be implemented by a computer program instructing the relevant hardware. The program can be stored in a computer-readable storage medium, and when executed, the program can include the process steps in the above-described method embodiments. The aforementioned storage medium includes various media capable of storing program code, such as ROM or random access memory (RAM), magnetic disks, or optical disks.

Claims

1. A method for adjusting the brightness of a liquid crystal display, characterized in that: include: When a light spot exists in the collected environmental image, obtaining the light spot position, light spot area, light source position and light source intensity of the light spot; The light spot is an area in the non-light source area of ​​the environmental image, where the brightness is greater than a preset brightness threshold; Obtaining a surface normal direction of a light spot reflection surface corresponding to the light spot position, determining a light source incident angle according to the light source position and the light spot position, and calculating a reflection propagation path of the reflected light of the light spot based on the law of light reflection in combination with the indoor distribution structure diagram, the surface normal direction, the light source incident angle, the light source intensity, and the light spot position, and determining a reflection point position of the reflected light; When the position of the reflection point is within the display area of ​​the liquid crystal screen, the reflection intensity value and the reflection area of ​​the reflection point within the display area of ​​the liquid crystal screen are calculated according to the basic laws of optics based on the intensity of the light source, the area of ​​the light spot, the incident angle between the reflection propagation path and the liquid crystal screen surface, and the distance between the position of the light spot and the position of the reflection point; According to the reflection intensity value, the display brightness of the reflective area of ​​the liquid crystal screen corresponding to the reflective area is adjusted; the adjustment range of the display brightness is proportional to the reflection intensity value.

2. The method according to claim 1, characterized in that After determining the position of the reflection point of the reflected light, the method further includes: When the detected ambient humidity value exceeds a preset humidity threshold, a corresponding humidity correction coefficient is obtained from a preset ambient humidity-humidity correction coefficient correspondence table according to the ambient humidity value, and the light spot area is corrected according to the humidity correction coefficient to obtain a corrected light spot area; wherein the humidity correction coefficient increases with an increase in the ambient humidity value; Calculating the water molecule density in the air according to the ambient humidity value, and obtaining the light scattering angle at a preset unit distance based on the light scattering principle and the water molecule density; The light scattering angles are sequentially applied to the reflection propagation paths to obtain a plurality of scattered light propagation paths and a plurality of scattered reflection points.

3. The method according to claim 2, characterized in that After applying the light scattering angles to the reflection propagation paths in sequence to obtain the scattering propagation paths of multiple scattered lights and multiple scattering reflection points, the method further includes: Calculating a scattering cross section within a preset unit volume according to the water molecule density; Calculating a total scattering loss according to the scattering cross section and the distance between the light spot position and the scattering reflection point; When the scattered reflection point is within the display area of ​​the liquid crystal display, the scattering intensity value and scattering area of ​​the scattered reflection point within the display area of ​​the liquid crystal display are calculated according to basic optical laws based on the intensity of the light source, the area of ​​the corrected light spot, the incident angle between the scattering propagation path and the liquid crystal display surface, and the distance between the light spot position and the scattered reflection point. According to the scattering intensity value, the display brightness of the second display reflective area of ​​the liquid crystal screen corresponding to the scattering area is adjusted; and a second adjustment range of the display brightness is proportional to the scattering intensity value.

4. The method according to claim 1, wherein The obtaining of the surface normal direction of the light spot reflection surface corresponding to the light spot position, determining the light source incident angle according to the light source position and the light spot position, and calculating the reflection propagation path of the reflected light of the light spot based on the law of light reflection in combination with the indoor distribution structure diagram, the surface normal direction, the light source incident angle, the light source intensity and the light spot position, and determining the reflection point position of the reflected light, specifically includes: Performing real-time three-dimensional scene perception analysis on the environmental image and constructing a three-dimensional model of the real-time environment, and identifying whether the three-dimensional model contains temporary objects that are not in the indoor distribution structure model; If so, identifying the temporary object position and temporary object shape of the temporary object and obtaining the light transmittance of the temporary object through the highlight representation of the temporary object in the environment image, and combining the indoor distribution structure model to improve the three-dimensional model to obtain the actual scene model; A ray tracing algorithm is used to obtain the surface normal direction of the light spot reflection surface corresponding to the light spot position, the light source incident angle determined by combining the light source position and the light spot position, the light source intensity and the light spot position, and the reflection propagation path of the reflected light of the light spot is calculated in the actual scene model in accordance with the law of light reflection to determine the reflection point position of the reflected light.

5. The method according to claim 1, characterized in that After adjusting the display brightness of the reflective area of ​​the liquid crystal screen corresponding to the reflective area, the method further includes: When the light source is a colored light source, obtaining corresponding color information; Calculating the color deviation and color saturation change introduced by the colored reflected light projected on the reflective area based on the material of the colored light spot reflective surface corresponding to the colored light source, the spectral characteristics corresponding to the color information, and the reflection propagation path; According to the color brightness shift and the color saturation change, reverse color compensation adjustment is performed on the display reflective area according to color adjustment rules.

6. The method according to claim 5, characterized in that After performing reverse color compensation adjustment on the display reflective area according to the color shift and the color saturation change according to the color adjustment rule, the method further includes: When it is monitored that the color switching rate of the color light source exceeds a preset color switching rate threshold or the flickering rate exceeds a preset flickering rate threshold, the compensation adjustment amplitude of the reverse color compensation adjustment is reduced.

7. The method according to claim 1, characterized in that After calculating the reflection intensity value and the reflection area of ​​the reflection point in the display area of ​​the liquid crystal screen according to the basic laws of optics, the method further includes: When there is a partial or complete spatial overlap of two or more reflective areas in the display area of ​​the liquid crystal screen, the overlapping area is a mixed reflective area, and all reflection path parameters contributing to the mixed reflective area are retrieved; the reflection path parameters include the incident angle of the liquid crystal screen, the intensity of the light source, and the reflection intensity value; Based on the nonlinear perception characteristics of human vision to polychromatic light mixing and the microscopic scattering characteristics of light, the mixed equivalent visual brightness in the mixed reflection area is calculated in combination with the reflection path parameters; The display brightness of the display area of ​​the liquid crystal screen corresponding to the mixed reflection area is adjusted according to the mixed equivalent visual brightness.

8. A liquid crystal screen brightness adjustment system, characterized in that: The LCD screen brightness adjustment system includes: one or more processors and a memory; the memory is coupled to the one or more processors, the memory is used to store computer program code, the computer program code includes computer instructions, and the one or more processors call the computer instructions to enable the LCD screen brightness adjustment system to execute the method described in any one of claims 1-7.

9. A computer program product comprising instructions, characterized in that When the computer program product is run on a liquid crystal screen brightness adjustment system, the liquid crystal screen brightness adjustment system is enabled to execute the method according to any one of claims 1 to 7.

10. A computer-readable storage medium comprising instructions, characterized in that: When the instruction is executed on a liquid crystal screen brightness adjustment system, the liquid crystal screen brightness adjustment system is caused to execute the method according to any one of claims 1 to 7.

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