Display device adaptive adjustment method and system based on environmental interaction

Abstract

The application discloses a display device adaptive adjustment method and system based on environmental interaction, and belongs to the technical field of display and human-computer interaction. The prior art relies on a single-point environmental illumination sensor, and it is difficult to accurately represent the spatial lighting distribution, screen reflection and human eye visual perception difference in a real viewing scene. The application collects scene information of a viewing environment, screen physical parameters and user position parameters, establishes a background wall brightness distribution model, a screen reflection model and an environmental contrast representation model; a visual spatial frequency model corresponding to a display stimulus is constructed; in combination with the environmental brightness representation and the visual perception model, a target optimization function containing visibility, comfort and stability constraints is established; the target display brightness is obtained by solving, and smooth adjustment and closed-loop feedback correction are performed. The application can adaptively optimize the display brightness according to multiple light sources, complex backgrounds and user visual characteristics, significantly improve the viewing comfort and detail visibility, and is suitable for various display terminals.

Description

Technical Field

[0001] This invention relates to the fields of display technology, visual perception technology, human-computer interaction technology and intelligent terminal control technology, and particularly to the reflective properties of screen surfaces and the visual perception of the human eye. Background Technology

[0002] Most existing automatic adjustment solutions for display terminals are based on single-point ambient illuminance sensors. This means that the ambient illuminance value at a specific point on the terminal surface is collected, and the screen brightness is controlled according to a preset mapping curve. This type of solution has the following shortcomings: the environmental information collection dimension is limited: single-point illuminance can only reflect the local incident light intensity and cannot accurately characterize the spatial lighting distribution in the user's actual viewing scene and the multi-source superposition effect commonly seen in reality.

[0003] The optical interaction between the display and the environment has not been fully considered: When the display terminal is working, the image quality perceived by the user is not only related to the brightness of the screen itself, but also closely related to the reflection of the background wall, the reflection of the screen surface, the spatial light distribution, the viewing distance and the viewing angle.

[0004] Lack of visual perception constraints: According to visual neuroscience research, the human retina exhibits significant spatial perception heterogeneity. The foveal region possesses extremely high resolution and contrast sensitivity, while the peripheral regions are more focused on the rapid perception of overall structure and dynamic changes. Simultaneously, the visual system processes information asymmetrically across different polar angles; for example, the lower visual field is more sensitive to high-frequency details, while the upper visual field is better suited for low-frequency cues. This spatial imbalance means that the same image information presented in different areas of the screen will have inconsistent visual weight and perceptual effects.

[0005] Meanwhile, the visual comfort and visibility of the human eye when viewing a display terminal also depend on the spatial frequency range corresponding to the displayed image. For example, the human eye's perception of brightness follows a non-linear law, and the demand for display brightness varies significantly under different adaptive brightness levels and different spatial frequencies.

[0006] Therefore, there is an urgent need for an adaptive adjustment method and supporting system that can read and analyze the ambient brightness distribution in any viewing space, and automatically calculate the viewing comfort for the human eye by combining the physical parameters of the display terminal and the human eye visual perception model. Summary of the Invention

[0007] Technical Problem: The purpose of this invention is to provide an adaptive adjustment method and system for display devices based on environmental interaction. By collecting scene information of the viewing environment, physical parameters of the screen, and user position parameters, the target parameters are solved based on a visual perception model to solve the problems of detail loss, image distortion, and poor viewing effect caused by display parameters that are too high or too low in the prior art.

[0008] To achieve the above objectives, the present invention provides the following technical solution:

[0009] An adaptive adjustment method for a display device based on environmental interaction, comprising:

[0010] Step 1: Collect scene information of the viewing environment and physical parameters of the screen, and establish a characterization model of ambient brightness and contrast at the user's eye position based on the scene information, background wall reflectivity, screen reflectivity and ambient light distribution.

[0011] Step 2: Input the user's viewing distance and the physical parameters of the test screen to establish a visual spatial frequency model corresponding to the displayed stimuli;

[0012] Step 3: Based on the environmental brightness characterization model and the visual spatial frequency model, construct the target brightness optimization function for the user in the current scene;

[0013] Step 4: Obtain the target display brightness value in the current scene by solving the target brightness optimization function;

[0014] Step 5: Smoothly adjust the display terminal according to the target display brightness value, output brightness control command, and correct the target brightness through closed-loop feedback.

[0015] Preferably, step 1 specifically includes: collecting ambient illuminance at the user's eye level, background wall brightness, screen blackout brightness, screen peak brightness, and brightness distribution in the peripheral visual area of ​​the screen; and obtaining the background wall reflectivity. The intensity of reflected light was measured at the user's eye level by setting up a test monitor in front of a background wall to display a full-screen white image. and background wall brightness ,calculate ; Obtain screen reflectivity Measure the intensity of reflected light from the screen surface with the monitor completely off. and screen brightness ,calculate Establish a brightness distribution model for the background wall. ,in The ambient illuminance measured at eye level. The angle between the observer's line of sight and the normal to the background wall surface. The spatial illumination intensity distribution function is obtained from actual measurements using a luminance analyzer; an environmental contrast characterization model is constructed, defining the environmental contrast. And consider the equivalent stray brightness formed by reflection from the screen surface. ,in The coupling coefficient, which is related to the incident angle, polarization state, and screen surface microstructure, is used to correct the effective contrast perceived by the user. .

[0016] Preferably, step 2 specifically includes: calculating the radius of the standard contrast sensitivity test stimulus based on the effective display size of the test screen and the viewing distance of the human eye, and calculating the viewing angle formed by the stimulus in the human eye based on the distance of the observer from the test screen; pre-setting the maximum number of periods contained within the grating stripe range, and calculating the maximum spatial frequency based on the maximum number of periods and the viewing angle; estimating the effective spatial frequency of any local area of ​​the displayed content based on the edge density or texture complexity of the displayed content. .

[0017] Preferably, the target brightness optimization function constructed in step 3 is:

[0018] in, For visibility constraint terms, Brightness that is comfortable for the human eye. This is a constraint term for the stability of brightness changes. , , These are the weighting coefficients.

[0019] Preferably, the visibility constraint item ,in To adapt to brightness and effective spatial frequency The human eye contrast threshold below, This represents the actual display contrast of the content under the current brightness and background brightness.

[0020] The brightness that is comfortable for the human eye ,in , , , For the fitting parameters, Viewing distance; the smooth change constraint term ,in This is the display brightness value at the previous sampling time.

[0021] Preferably, the smoothing adjustment in step 5 specifically includes:

[0022] in, The target display brightness value obtained in step 4 at the current moment, This represents the actual output display brightness value at the current moment. This represents the actual display brightness value output at the previous moment. The weighting coefficient is used for smoothing. If the display terminal detects one of the following situations: the rate of change of ambient illuminance exceeds a preset threshold, the user manually adjusts the brightness multiple times within a short period of time, or the change in the brightness distribution around the screen exceeds a threshold, a closed-loop correction mechanism is triggered, adjusting the weighting coefficient accordingly. , , or the fitting parameters , , , It performs real-time updates and recalculates the target optimized brightness value.

[0023] The present invention also provides an adaptive adjustment system for display devices based on environmental interaction, comprising:

[0024] The environmental information acquisition module is used to collect information such as the illuminance of the viewing environment, the brightness of the background wall, the brightness distribution around the screen, the user's eye position, and the distribution of light sources.

[0025] The screen parameter acquisition module is used to acquire the resolution, effective display size, peak brightness, black level brightness, surface reflectivity, brightness response curve and pixel size information of the display terminal.

[0026] The environment modeling module is used to create background wall brightness distribution models, screen surface reflection models, spatial non-uniformity models, and visually adaptive brightness models.

[0027] The perception computing module is used to calculate the viewing angle, spatial frequency, effective contrast, and visual contrast sensitivity based on the viewing distance and display parameters.

[0028] The objective solution module is used to establish an objective function based on visibility constraints, human eye comfort brightness, and stability constraints, and to solve for the target display brightness.

[0029] The brightness control module is used to generate brightness control commands based on the solution results, and control the backlight, drive current, grayscale or local dimming parameters of the display terminal.

[0030] The dynamic update module is used to perform real-time detection, time filtering, and closed-loop correction when the environment changes.

[0031] Preferably, the environmental information acquisition module is used to acquire the brightness distribution of the screen periphery in the user's field of vision, and the environmental modeling module establishes a visually adaptive brightness model based on the brightness distribution of the screen periphery. The visually adaptive brightness model is expressed as follows:

[0032] in, To adjust the brightness of the background wall, This represents the average brightness of the area surrounding the screen. To adapt to the weights.

[0033] Preferably, the dynamic update module re-collects environmental information at a preset sampling period and prevents frequent brightness jumps through time filtering and smoothing control, wherein the smoothing control is expressed as:

[0034] in, Display the brightness value of the target at the current moment. This represents the actual output display brightness value at the current moment. This represents the actual display brightness value output at the previous moment. This is the smoothing coefficient.

[0035] Compared with existing technologies, this invention has at least the following advantages: This invention no longer uses ambient illuminance as the sole input, but comprehensively considers background wall reflectivity, screen reflectivity, peripheral field brightness distribution, viewing distance, and screen parameters, thereby more accurately representing the user's true visual adaptation environment. This invention also combines display brightness adjustment with the human eye's spatial frequency perception ability, determining brightness requirements based on the effective spatial frequency corresponding to the displayed content at the current viewing distance. Compared with traditional automatic brightness methods, this better balances detail visibility and viewing comfort. In summary, this invention supports brightness analysis under multi-source, stray light, and complex background conditions, and is applicable to various terminals such as mobile phones, tablets, automotive displays, monitors, televisions, and head-mounted displays, possessing strong versatility and industrial application value. Attached Figure Description

[0036] Figure 1 This is a schematic diagram of the brightness analysis area around the screen within the user's field of view in this invention.

[0037] Figure 2 This is a schematic diagram of the environmental information collection module.

[0038] Figure 3 This is an adaptive brightness adjustment interface.

[0039] Figure 4 This is a framework diagram of the method of the present invention. Detailed Implementation

[0040] The present invention will be further described in detail below with reference to the embodiments, but the scope of protection of the present invention is not limited to the following embodiments.

[0041] Example 1

[0042] This embodiment provides a display device adaptive adjustment method based on environmental interaction, including the following steps:

[0043] Step 1: Collect scene information of the viewing environment and physical parameters of the screen.

[0044] (1.1) Collect scene information of the viewing environment and physical parameters of the screen.

[0045] The scene information includes, but is not limited to: the viewing distance D from the user's eye position to the center of the screen, the relationship between the user's eye position height and the center of the screen height, the angle between the screen normal direction and the user's line of sight, the location of the background wall, reflectivity, the number, location, incident direction and spatial distribution of light sources, and the brightness distribution and ambient illuminance of the area surrounding the screen in the user's field of vision. .

[0046] The physical parameters of the screen include, but are not limited to: visible display size and screen surface reflectivity. Peak screen brightness Screen black level brightness Screen gamma curve, brightness response curve, panel type and its viewing angle characteristics.

[0047] (1.2) Measurement of background wall reflectivity

[0048] Set up a test monitor in front of the background wall, displaying a completely white image (i.e., the monitor outputs white at maximum brightness). Place a standard lux meter vertically to the observer's position, at the same height as the horizontal ground, and measure the intensity of reflected light from the background wall. Then, the brightness of the background wall was measured at the same location. The reflectivity of the background wall It can be calculated using the following formula:

[0049] in, The intensity of light reflected from the background wall. Adjust the brightness of the background wall.

[0050] In practical applications, calibration methods such as standard whiteboard calibration, brightness analyzer calibration, or matching with a known material database can also be used to obtain the results. .

[0051] (1.3) Measurement of screen surface reflectivity

[0052] If the reflectivity of the test screen is unknown, the monitor can be set against a completely black background, i.e., all display content is turned off and the screen displays black. The reflectivity can then be measured using the same method as measuring the reflectivity of a background wall.

[0053] in, The intensity of light reflected from the display surface. This refers to the brightness of the monitor surface when the screen is off.

[0054] In practical applications, the values ​​can also be obtained by looking up tables from factory calibration values, panel specifications, or screen reflection models. .

[0055] (1.4) Constructing a spatial brightness distribution model

[0056] When the light source in the test environment is located near the monitor and can be approximated as uniformly emitting light, the brightness distribution of the background wall can be described by the following formula:

[0057] in, Let the coordinates be those of the background wall surface. Indicates the location of the background wall Brightness at that location The ambient illuminance measured at eye level. It's the reflectivity of the background wall. To observe the angle between the direction and the wall normal, This is a function used to describe the distribution of spatial lighting intensity.

[0058] In one implementation, if the illumination is concentrated in a local area, we can set:

[0059] in, The distribution coefficient, The normalized spatial distribution function can be obtained by actual measurement using a standard luminance analyzer, and its form is determined by the arrangement of the light source.

[0060] When the reflecting object is approximately a Lambertian reflector, the reflected brightness can be simplified as:

[0061] in, The reflectivity of the reflector surface.

[0062] When the test environment contains non-negligible stray light, multiple light sources, or non-uniform illumination, an alternative approach is adopted:

[0063] The brightness distribution of the screen's peripheral area within the user's visible field of view, at the same height as the eye level, is recorded using a standard brightness analyzer. Preferably, sampling is performed within ±13° of the center of the field of view. This area is crucial for describing the impact of the display's peripheral background brightness on the user's visual adaptation, providing core measured data for constructing an environmental brightness characterization model. Figure 1 The area shown.

[0064] (1.5) Constructing an environmental contrast characterization model

[0065] Based on the Weber-Fechner law, under the combined effect of ambient light and screen light, ambient contrast can be defined as:

[0066] in, For the screen to display effective brightness, The reference brightness for the user's visual background.

[0067] When the ambient illuminance changes, the lighting contrast is expressed as:

[0068] in, This represents the change in ambient illuminance.

[0069] Furthermore, consider the equivalent stray brightness formed by reflections from the screen surface. ,have:

[0070] in, The coupling coefficient is related to the incident angle, polarization state, and screen surface microstructure.

[0071] The actual perceived effective screen contrast ratio by the user can then be corrected to:

[0072] in, The brightness of the bright region. This represents the brightness of the dark region.

[0073] Step 2: Establish a visual-spatial frequency model of displayed stimuli

[0074] (2.1) Calculation of pixel size and stimulation region

[0075] Assuming the test screen resolution is The visible screen size is Then the pixel size is:

[0076]

[0077] Based on the standard setting that the perceived contrast measurement window is approximately 4% of the effective display size, the stimulation radius of the circular sinusoidal grating... for:

[0078]

[0079] Based on the observer's distance from the test screen, the maximum visual angle of the stimulus in the human eye can be determined as follows:

[0080] If you need to convert to degrees, you can multiply by 180 / π.

[0081] (2.2) To ensure accurate detail rendering, the maximum number of periods within the preset raster stripe area is [value missing]. In a preferred embodiment, the following is taken:

[0082] Then the maximum spatial frequency for:

[0083] The unit is cycle / degree, which represents the highest spatial frequency that can be displayed and perceived within a unit of view.

[0084] (2.3) Visual adaptation brightness modeling

[0085] User comfort with screen brightness is not solely determined by screen brightness, but rather by the eye's adaptation to the environment. Based on the background brightness and surrounding brightness distribution in the viewing environment, visual adaptation brightness can be defined as:

[0086] in, Let the weighting coefficients satisfy:

[0087] In a preferred embodiment, Reflecting the role of the background wall in the overall integration, This reflects the effect of screen perimeter brightness on local adaptation. It reflects the disturbance effect of stray light reflected from the screen on the adaptive state.

[0088] (2.4) Modeling of visual contrast sensitivity function

[0089] To quantify the human eye's ability to perceive image details under a given environment, a visual contrast sensitivity function related to adaptive brightness, spatial frequency, and image contrast is established:

[0090] in, To accommodate the brightness-related gain term, , This is an empirical coefficient.

[0091] This invention does not limit the specific form of CSF, as long as it can establish a quantitative relationship between environmental adaptive brightness, contrast sensitivity and contrast perceptible threshold.

[0092] Step 3: Establish the objective function relating display brightness to comfort and visibility.

[0093] (3.1) Visibility constraint

[0094] Based on the effective contrast and visual contrast sensitivity function, the visibility evaluation term is defined as follows:

[0095] in, For spatial frequency weighting function, The perception visibility mapping function can be represented as the perceptual gain after the image contrast exceeds a threshold.

[0096] One optimal implementation is underway:

[0097] in, This is a scaling factor. This objective term characterizes the improvement in detail visibility and subjective clarity resulting from increased screen brightness.

[0098] (3.2) Comfort Constraints

[0099] Excessive screen brightness can cause glare, eye strain, localized adaptation imbalance, and visual fatigue; therefore, a comfort penalty is defined:

[0100] The first indicator indicates that the greater the deviation between the screen brightness and the ambient brightness, the higher the discomfort; the second indicator indicates that when the screen brightness ratio exceeds the glare threshold... Additional penalties will be incurred; the third item indicates that the stronger the environmental non-uniformity, the more the stimulation caused by excessive brightness should be reduced.

[0101] (3.3) Comprehensive objective function

[0102] Finally, construct the objective function:

[0103]

[0104] Step 4: Solve for the optimal display brightness

[0105] (4.1) Based on the objective function, solve for the optimal display brightness under the constraints. .

[0106] The constraints include at least one of the following:

[0107] in, The lowest perceived contrast threshold. The threshold for the highest comfortable brightness ratio.

[0108] (4.2) Gradient descent, binary search, or a pre-defined lookup table can be used to solve for the objective function while satisfying the constraints. Minimum brightness value .

[0109] Step 5: Update the output brightness control command in real time and perform closed-loop feedback correction.

[0110] (5.1) Combined with the brightness response curve of the monitor at the factory. Map the target brightness to the backlight or pixel drive control value. :

[0111] The display control module adjusts backlight, current, duty cycle, pixel grayscale compensation, or local dimming parameters accordingly.

[0112] (5.2) To cope with environmental changes, the present invention further includes a dynamic correction step:

[0113] During the operation of the display terminal, at a preset sampling period Re-collect environmental information and update it. , , Then, recalculate the target brightness.

[0114] To prevent visual discomfort caused by frequent jumps, time filtering and smoothing control are used:

[0115] in, This is the smoothing coefficient.

[0116] Furthermore, to avoid misadjustment caused by instantaneous environmental fluctuations, a hysteresis threshold H can be set, which applies only when:

[0117] The brightness is updated only occasionally.

[0118] Example 2

[0119] This embodiment provides a specific application of an environmental interaction-based adaptive adjustment system for display devices on a smartphone terminal. This system is the hardware implementation of the method described in Embodiment 1 on a terminal product, and its overall physical structure is as follows: Figure 2 As shown.

[0120] (a) Environmental Information Collection Module

[0121] In this embodiment, the environmental information acquisition module is integrated into the top and bottom areas of the front of the smartphone, and includes a multispectral sensor, a miniature luminance meter, and a proximity sensor. The core information that this module can acquire includes the ambient illuminance at the user's eye level. Background wall brightness Screen brightness in black state Peak screen brightness The system can collect information on the brightness distribution of the peripheral visual area of ​​the screen, as well as the user's eye position, the number / position / incident direction and spatial distribution of light sources, and the viewing distance from the user's eye position to the center of the screen. Key parameters include the angle between the screen normal and the user's line of sight. All collected data provides raw measured information for subsequent environmental modeling and perception computing modules, and the accuracy of the data collection directly determines the accuracy of subsequent environmental modeling and target brightness calculation.

[0122] (ii) Screen parameter acquisition module

[0123] In this embodiment, the screen parameter acquisition module reads the system configuration parameters of the smartphone to obtain the resolution of the display terminal (e.g., 2778). 1284), effective display size (e.g., 6.1 inches), peak brightness (e.g., 1200 nits), black level brightness (e.g., 0.3 nits), surface reflectivity (factory rated value of 4.5%), brightness response curve and pixel size information.

[0124] (III) Environmental Modeling and Sensing Computing

[0125] Based on the collected environmental information and screen parameters, the environmental modeling module establishes a background wall brightness distribution model, a screen surface reflection model, a spatial non-uniformity model, and a visually adaptive brightness model. The perception calculation module calculates the viewing angle, spatial frequency, effective contrast, and visual contrast sensitivity according to the viewing distance (e.g., 30cm) and display parameters, quantifying the spatial perception heterogeneity of the human eye's retina and the visual perception patterns at different spatial frequencies.

[0126] (iv) Target brightness calculation and display control

[0127] The objective solution module combines the environmental interaction model and visual perception calculation results to construct a target brightness optimization function that includes visibility constraints, human eye comfort brightness, and brightness change stability constraints. Under constraints such as upper and lower limits of screen brightness and minimum perceived contrast threshold, it solves for the optimal target display brightness value.

[0128] The brightness control module generates brightness control commands based on the solution results, controlling the backlight, drive current, or pixel grayscale compensation of the display terminal. The adjusted screen brightness value (e.g., 70%) is displayed in real time through the user interface.

[0129] (v) Dynamic updates and closed-loop correction

[0130] The dynamic update module re-collects environmental and screen parameters at a preset sampling period (e.g., 5 seconds) to update the target brightness in real time. The closed-loop correction mechanism is triggered when one of the following conditions is detected:

[0131] (1) The rate of change of ambient illuminance exceeds the preset threshold (e.g., 50 lx / s);

[0132] (2) The user manually adjusts the brightness multiple times in a short period of time (e.g., more than 3 times within 30 seconds).

[0133] (3) The brightness distribution around the screen changes beyond the threshold (e.g., the average brightness changes by more than 20%).

[0134] After triggering closed-loop correction, the system updates the model weight coefficients in real time. , , and fitting parameters , , , Recalculate the target brightness, and simultaneously apply a smoothing coefficient (such as...) =0.7), hysteresis threshold (e.g., H=5 nits) to avoid frequent brightness jumps and ensure the stability and accuracy of adjustment.

[0135] (vi) User interface

[0136] This embodiment provides an adaptive brightness adjustment interface on a smartphone, which includes the following functional modules:

[0137] 1. "Display & Brightness": The main entry point for display and brightness adjustment functions, and the core human-computer interaction entry point for brightness control commands;

[0138] 2. "Eye Care (Sync)": Synchronous eye protection mode, based on the comfort constraint design of visual perception calculation in this invention, with core matching of human eye comfort brightness model to improve visual viewing comfort;

[0139] 3. "Synced from your tablet": Brightness configuration parameters can be synchronized from associated devices (such as tablets), supporting multi-device adaptive parameter linkage;

[0140] 4. "Synced Profile: Study Mode": Synchronized profile - Study Mode, supports intelligent learning of user-personalized brightness profiles to match the visual comfort brightness needs of different users;

[0141] 5. "Brightness 70%": The actual screen brightness value after adaptive adjustment. It supports manual fine-tuning by the user, and multiple manual adjustments of this parameter in a short period of time will trigger the closed-loop correction mechanism.

[0142] 6. "Color Temperature": Color temperature adjustment option, in conjunction with adaptive brightness adjustment, further matches the comfort requirements of human visual perception;

[0143] 7. The adaptive adjustment description at the bottom of the interface: This reflects the core adjustment logic of this invention, which combines environmental optical information and human visual perception. It can dynamically match brightness and color temperature parameters according to the distribution of ambient brightness and the viewing scene.

Claims

1. A display device adaptive adjustment method based on environmental interaction, characterized in that, include: Step 1: Collect scene information of the viewing environment and physical parameters of the screen, and establish a characterization model of ambient brightness and contrast at the user's eye position based on the scene information, background wall reflectivity, screen reflectivity and ambient light distribution. Step 2: Input the user's viewing distance and the physical parameters of the test screen to establish a visual spatial frequency model corresponding to the displayed stimuli; Step 3: Based on the environmental brightness characterization model and the visual spatial frequency model, construct the target brightness optimization function for the user in the current scene; Step 4: Obtain the target display brightness value in the current scene by solving the target brightness optimization function; Step 5: Smoothly adjust the display terminal according to the target display brightness value, output brightness control command, and correct the target brightness through closed-loop feedback.

2. The adaptive adjustment method for a display device based on environmental interaction according to claim 1, characterized in that, Step 1 specifically includes: collecting ambient illuminance at the user's eye level, background wall brightness, screen blackout brightness, screen peak brightness, and brightness distribution in the peripheral visual area of ​​the screen; and obtaining the background wall reflectivity. The intensity of reflected light was measured at the user's eye level by setting up a test monitor in front of a background wall to display a full-screen white image. and background wall brightness ,calculate ; Obtain screen reflectivity Measure the intensity of reflected light from the screen surface with the monitor completely off. and screen brightness ,calculate Establish a brightness distribution model for the background wall. ,in The ambient illuminance measured at eye level. The angle between the observer's line of sight and the normal to the background wall surface. The spatial illumination intensity distribution function is obtained from actual measurements using a luminance analyzer; an environmental contrast characterization model is constructed, defining the environmental contrast. And consider the equivalent stray brightness formed by reflection from the screen surface. ,in The coupling coefficient, which is related to the incident angle, polarization state, and screen surface microstructure, is used to correct the effective contrast perceived by the user. .

3. The adaptive adjustment method for a display device based on environmental interaction according to claim 1, characterized in that, Step 2 specifically includes: calculating the radius of the standard contrast sensitivity test stimulus based on the effective display size of the test screen and the viewing distance of the human eye, and calculating the viewing angle formed by the stimulus in the human eye based on the distance of the observer from the test screen; pre-setting the maximum number of periods contained within the grating stripe range, and calculating the maximum spatial frequency based on the maximum number of periods and the viewing angle; estimating the effective spatial frequency of any local area of ​​the displayed content based on the edge density or texture complexity of the displayed content. .

4. The adaptive adjustment method for a display device based on environmental interaction according to claim 1, characterized in that, The target brightness optimization function constructed in step 3 is: ,in, For visibility constraint terms, Brightness that is comfortable for the human eye. This is a constraint term for the stability of brightness changes. , , These are the weighting coefficients.

5. The adaptive adjustment method for a display device based on environmental interaction according to claim 4, characterized in that, The visibility constraint ,in To adapt to brightness and effective spatial frequency The human eye contrast threshold below, The actual display contrast of the content under the current brightness and background brightness; The brightness that is comfortable for the human eye ,in , , , For fitting parameters, Viewing distance; the smooth change constraint term ,in This is the display brightness value at the previous sampling time.

6. The adaptive adjustment method for a display device based on environmental interaction according to claim 4, characterized in that, The smoothing adjustment in step 5 specifically refers to: ,in, The target display brightness value obtained in step 4 at the current moment, This represents the actual output display brightness value at the current moment. This represents the actual output display brightness value at the previous moment. The weighting coefficient is used for smoothing. If the display terminal detects one of the following situations: the rate of change of ambient illuminance exceeds a preset threshold, the user manually adjusts the brightness multiple times within a short period of time, or the change in the brightness distribution around the screen exceeds a threshold, a closed-loop correction mechanism is triggered, adjusting the weighting coefficient accordingly. , , or the fitting parameters , , , It performs real-time updates and recalculates the target optimized brightness value.

7. An adaptive adjustment system for a display device based on environmental interaction, characterized in that, include: The environmental information acquisition module is used to collect information such as the illuminance of the viewing environment, the brightness of the background wall, the brightness distribution around the screen, the user's eye position, and the distribution of light sources. The screen parameter acquisition module is used to acquire the resolution, effective display size, peak brightness, black level brightness, surface reflectivity, brightness response curve and pixel size information of the display terminal. The environment modeling module is used to create background wall brightness distribution models, screen surface reflection models, spatial non-uniformity models, and visually adaptive brightness models. The perception computing module is used to calculate the viewing angle, spatial frequency, effective contrast, and visual contrast sensitivity based on the viewing distance and display parameters. The objective solution module is used to establish an objective function based on visibility constraints, human eye comfort brightness, and stability constraints, and to solve for the target display brightness. The brightness control module is used to generate brightness control commands based on the solution results, and control the backlight, drive current, grayscale or local dimming parameters of the display terminal. The dynamic update module is used to perform real-time detection, time filtering, and closed-loop correction when the environment changes.

8. The adaptive adjustment system for a display device based on environmental interaction according to claim 7, characterized in that, The environmental information acquisition module is used to collect the brightness distribution of the screen periphery in the user's field of vision. The environmental modeling module establishes a visually adaptive brightness model based on the brightness distribution of the screen periphery. The visually adaptive brightness model is represented as follows: ,in, To adjust the brightness of the background wall, This represents the average brightness of the area surrounding the screen. To adapt to the weights.

9. The adaptive adjustment system for a display device based on environmental interaction according to claim 7, characterized in that, The dynamic update module re-collects environmental information at a preset sampling period and prevents frequent brightness jumps through time filtering and smoothing control. The smoothing control is expressed as follows: ,in, Display the brightness value of the target at the current moment. This represents the actual output display brightness value at the current moment. This represents the actual output display brightness value at the previous moment. This is the smoothing coefficient.

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