A Driving Method and System for a High Refresh Rate Liquid Crystal Display

Abstract

The present invention relates to the technical field of liquid crystal display drive control, and discloses a driving method and system for a high refresh rate liquid crystal display screen. The method includes: a motion amount detection module calculates the motion intensity of the dynamic area through inter-frame comparison; a voltage excitation adjustment module applies voltages differentially according to the dynamic / static areas, and the dynamic area uses asymmetric voltages to improve the response speed; a gray scale adjustment module dynamically optimizes the voltage amplitude based on the local contrast to smooth the gray scale; an adaptive refresh rate module fuses the motion intensity and the image type to switch the refresh rate gear; a charge balance management module intelligently triggers sub-region reverse voltage pulses in a static scene to eliminate afterimages. The system eliminates afterimages through the cooperation of multiple modules, dynamically manages charge balance, intelligently switches the refresh rate gear based on the motion intensity, and cooperates with voltage regulation to reduce static power consumption, adopts sub-region gray scale compensation to optimize the detail display, and combines asymmetric high-voltage drive to improve the response speed of liquid crystal molecules.

Description

Technical Field

[0001] The present invention relates to the technical field of liquid crystal display drive control, and specifically provides a driving method and system for a high refresh rate liquid crystal display screen. Background Art

[0002] In recent years, high refresh rate liquid crystal display screens (such as 120Hz, 144Hz or even 240Hz) have gradually become the core configuration of e-sports monitors, high-end smart phones, VR / AR devices. By increasing the refresh rate, such screens have significantly improved the smoothness of dynamic images. Especially in scenarios such as games and live sports events, users' demand for a display effect without ghosting and low latency is becoming increasingly urgent. However, problems such as increased power consumption and aggravated charge retention caused by high refresh rates have put forward higher requirements for the intelligent level of the driving method.

[0003] The current mainstream driving scheme still follows the control logic of traditional liquid crystal displays, and the core contradiction is that high refresh rate and dynamic energy efficiency cannot be achieved at the same time. For example, to maintain a high refresh rate, the screen needs to continuously apply a high voltage driving signal. However, when a static image is displayed for a long time, the liquid crystal molecules cause afterimages due to charge accumulation; if the refresh rate is forced to be switched to a low refresh rate to reduce power consumption, dynamic picture stuttering may occur. In addition, most existing voltage adjustment strategies use globally unified parameters and cannot adapt to the local features of images (such as high voltage sharpening required for text edges and low voltage anti-distortion required for gradient backgrounds), resulting in loss of details or power consumption waste.

[0004] In terms of charge management, most schemes rely on full-screen reverse voltage pulses with a fixed period. Although it can alleviate charge retention, it is difficult to avoid the problem of mis-triggering in dynamic areas. For example, when playing a video, if the background is static and the subject is dynamic, the full-screen reverse pulse will interfere with the normal display of the dynamic area and cause short-term flickering. At the same time, the response differences of liquid crystal molecules to different color light waves (such as the response delay of blue light being higher than that of red light) are not compensated specifically, and color separation is likely to occur in high-speed motion scenes.

[0005] A more profound bottleneck lies in that the existing driving system lacks multi-dimensional collaborative control of image content, motion state, and environmental parameters. For example, no dynamic mapping relationship between the refresh rate and the motion intensity is established, and the refresh rate gear cannot be adjusted in real time according to the dynamic nature of the picture; the voltage excitation parameters are decoupled from the local contrast and motion direction, resulting in a weaker suppression effect on horizontal motion ghosting than in the vertical direction. These problems jointly restrict the actual experience of high refresh rate screens and are difficult to meet users' comprehensive requirements of "high smoothness, low power consumption, and zero afterimage". Summary of the Invention

[0006] Aiming at the deficiencies of the prior art, the present invention provides a driving method and system for a high refresh rate liquid crystal display screen, and the present invention solves the problems of display blurring, ghosting, afterimages and high power consumption faced by high refresh rate liquid crystal display screens in dynamic scenarios.

[0007] To achieve the above object, the present invention is realized through the following technical solutions: A driving method for a high refresh rate liquid crystal display screen, comprising the following steps:

[0008] Motion amount detection: By comparing the current frame image with the previous frame image, detecting the dynamic change of the image, and obtaining the motion intensity;

[0009] Voltage excitation adjustment: Dynamically adjusting the voltage value of liquid crystal molecules according to the motion intensity, so that the liquid crystal display can respond to image changes at a high refresh rate;

[0010] Gray scale adjustment: Dynamically adjusting the voltage of liquid crystal molecules according to the gray scale distribution of the image content to make the gray scale transition smooth;

[0011] Adaptive refresh rate switching: Automatically adjusting the refresh rate according to the motion intensity and image type, where the image type includes dynamic or static;

[0012] Charge balance management: When a static image is displayed for a long time, applying a reverse voltage pulse regularly to remove charge accumulation.

[0013] Preferably, the motion amount detection step includes:

[0014] Performing pixel-level comparison between the current frame image and the previous frame image, and calculating the motion amount of each pixel point;

[0015] Classifying the comparison results according to the motion intensity of the image area, and marking the area with a motion intensity greater than the preset threshold as the dynamic area;

[0016] Calculating the overall motion intensity by the weighted average method, and generating a motion intensity value;

[0017] Determining the increase or decrease amplitude of the voltage excitation adjustment according to the motion intensity value.

[0018] Preferably, the voltage excitation adjustment step includes:

[0019] Dividing the image into a dynamic area and a static area according to the motion intensity value calculated in the motion amount detection step;

[0020] For the dynamic area, applying a higher voltage value to improve the response speed of liquid crystal molecules;

[0021] For the static area, applying a lower voltage value to reduce power consumption;

[0022] In the dynamic area, adopting an asymmetric voltage adjustment method to apply asymmetric excitation to the voltage according to the motion direction.

[0023] Preferably, the gray scale adjustment step includes:

[0024] Perform grayscale distribution analysis on the current frame image to detect high-contrast regions and low-contrast regions in the image;

[0025] For high-contrast regions, increase the voltage amplitude variation to enable the liquid crystal display to accurately display details;

[0026] For low-contrast regions, reduce the voltage amplitude variation to avoid excessive distortion;

[0027] Dynamically adjust the voltage amplitude of grayscale transition according to the result of grayscale distribution analysis.

[0028] Preferably, the adaptive refresh rate switching step includes:

[0029] Judge the dynamic nature of the image content according to the motion intensity in voltage excitation adjustment;

[0030] For dynamic images with a motion intensity greater than a preset value, maintain a high refresh rate;

[0031] For static images or low-dynamic images, reduce the refresh rate;

[0032] Adjust the refresh rate in real time according to the actual dynamic change of the image.

[0033] Preferably, the charge balance management step includes:

[0034] When displaying a static image, judge whether charge balance is required by monitoring the image update frequency;

[0035] When the image is displayed statically or held for a long time, apply a reverse voltage pulse to clear charge accumulation;

[0036] The applied reverse voltage pulse is adjusted periodically according to the image display state.

[0037] The present invention also provides a high refresh rate liquid crystal display driving system, which is applied to the high refresh rate liquid crystal display driving method described above, and includes:

[0038] A motion detection module for detecting the dynamic change of the image and calculating the motion intensity;

[0039] A voltage excitation adjustment module for dynamically adjusting the voltage excitation value of liquid crystal molecules according to the motion intensity and grayscale distribution;

[0040] A grayscale adjustment module for dynamically adjusting the voltage according to the grayscale information of the image content;

[0041] An adaptive refresh rate control module for automatically adjusting the refresh rate according to the motion intensity and image type;

[0042] Charge balance management module, when displaying a static image, removes charge accumulation by applying a reverse voltage pulse

[0043] Preferably, the calculation formula of the motion detection module for the motion intensity is as follows:

[0044] ;

[0045] Among them, The weight coefficient of the dynamic area The static area , And Are the number of rows and columns of the image respectively, Is the overall motion intensity value after normalization, used to guide the voltage adjustment amplitude.

[0046] Preferably, the voltage adjustment of the voltage excitation adjustment module satisfies:

[0047] ;

[0048] Among them, Is the driving voltage value of the color channel, Is the reference voltage of the channel, Is the channel adjustment coefficient, Is the sub-block contrast index, Is the current grayscale change amount.

[0049] Preferably, the period and amplitude of the reverse voltage pulse applied by the charge balance management module satisfy:

[0050] ;

[0051] ;

[0052] Among them, Is the reverse voltage pulse period, Is the pulse period coefficient, Is the low refresh rate value, Is the grayscale reference voltage, Is the reverse voltage coefficient, Is the amplitude of the reverse voltage pulse, Is the static image continuous display time, obtained in real time by the timer module, Is the maximum allowable idle time.

[0053] The present invention provides a driving method and system for a high refresh rate liquid crystal display screen. It has the following beneficial effects:

[0054] 1. The present invention adopts an intelligent trigger mechanism of reverse voltage pulses in charge balance management. By dynamically monitoring the image update frequency and the proportion of static areas, it accurately applies reverse voltages to different regions, achieving the effects of neutralizing residual charges and eliminating afterimages. Compared with the crude solutions of fixed-period reverse voltages or full-screen pulses in the prior art, it solves the deficiencies of being unable to distinguish between dynamic and static areas, resulting in distortion of dynamic content and power consumption waste.

[0055] 2. Based on a multi-level refresh rate decision logic considering motion intensity and image type, the present invention automatically switches to a low refresh rate (such as 30Hz) in static or low-dynamic scenes. At the same time, it collaborates with the voltage excitation module to reduce the driving voltage, achieving power consumption reduction and solving the problem of excessively high energy consumption in static scenes that has long existed in the "one-size-fits-all" mode of the traditional fixed high refresh rate (such as 120Hz).

[0056] 3. Through the dynamic gray-scale voltage compensation technology for different regions, the present invention enhances the voltage amplitude in high-contrast regions and suppresses voltage jumps in low-contrast regions, achieving smooth gray-scale transitions and no loss of details. It solves the defects of overexposure in highlights and loss of details in dark areas that commonly exist in complex images when the prior art uses a global unified gamma curve.

[0057] 4. Using a differential voltage excitation strategy for dynamic / static regions, the present invention applies an asymmetric high voltage drive to the motion regions, increasing the turning speed of liquid crystal molecules and solving the problems of dynamic blurring and obvious ghosting caused by a fixed voltage coefficient (such as α = 0.1) in the traditional solution. Especially in scenarios such as games and VR, the edge sharpness and smoothness of high-speed moving images have been improved significantly. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 is a flowchart of the method of the present invention;

[0059] Figure 2 is a framework diagram of the system of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0060] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0061] Please refer to the attached Figure 1 , the embodiments of the present invention provide a driving method for a high refresh rate liquid crystal display screen, including the following steps:

[0062] S1. Motion detection: By comparing the current frame image with the previous frame image, the dynamic changes of the image are detected to obtain the motion intensity;

[0063] In some embodiments, the motion detection is achieved by comparing the image data of the current frame with the image data of the previous frame pixel by pixel. , its amount of exercise The calculation formula is:

[0064] ;

[0065] in, For the current frame at position The pixel value (can be brightness value or RGB component value), is the pixel value of the corresponding position in the previous frame, It is the pixel-level motion amount, reflecting the degree of dynamic change of the position.

[0066] In one possible implementation, the classification of dynamic regions is based on a preset threshold. If the motion of a pixel satisfies , it is marked as a dynamic area; otherwise it is marked as a static area. Can be adjusted dynamically, for example:

[0067] In high-speed motion scenes (such as game scenes), set a lower (e.g. 5-10 gray levels) to capture subtle changes;

[0068] In static or low-motion scenes (such as text display), set a higher (e.g. 15~20 gray levels) to reduce noise interference.

[0069] Specifically, overall exercise intensity The calculation of adopts the regional weight differentiation strategy. Dynamic regions are given higher weights. , static areas are given lower weights , the calculation formula is:

[0070] ;

[0071] in, Weight coefficient, dynamic area , static area , and are the number of rows and columns of the image, respectively. It is the normalized overall exercise intensity value, which is used to guide the voltage regulation amplitude.

[0072] Alternatively, the weight coefficient and can be dynamically adjusted according to the scene type. For example:

[0073] In a virtual reality scene, increase to 1.5 to enhance the detection sensitivity of the fast-moving area;

[0074] When displaying static images, reduce to 1.0 to reduce misjudgment.

[0075] In some embodiments, the exercise amount detection step further includes dynamic area boundary optimization. The specific implementation methods include:

[0076] Morphological filtering: Perform an opening operation (erosion followed by dilation) on the binary image of the dynamic area to eliminate isolated noise points;

[0077] Interpolation smoothing: Perform bilinear interpolation on the edge pixels of the dynamic area to smooth the jagged boundary.

[0078] In a possible implementation, the dynamic area marking result is combined with temporal continuity. If a certain area is continuously frames (for example = 3) are marked as dynamic areas, then increase its weight coefficient to the upper limit value of 1.5 and reduce the threshold to improve the detection stability;

[0079] As a supplementary technical solution, the preset threshold can be dynamically adjusted according to the ambient light sensor data:

[0080] In a low-light environment, when the ambient light intensity is (for example = 50 lux), increase to 20 gray levels to suppress dark noise;

[0081] In a high-light environment, when the ambient light intensity is (for example = 500 lux), reduce to 8 gray levels to capture subtle dynamic changes;

[0082] Specifically, the exercise intensity value is directly related to the input of the voltage excitation regulation module. The voltage regulation amplitude is calculated by the formula:

[0083] ;

[0084] where, is the voltage regulation coefficient, is the overall motion intensity value after normalization, which is used to guide the voltage adjustment amplitude.

[0085] In a possible implementation, the voltage adjustment coefficient of the dynamic region is set to 0.2 - 0.5, and the voltage adjustment coefficient of the static region is set to 0.05 - 0.1 to balance the response speed and power consumption.

[0086] (1) Determination of the dynamic region coefficient = 0.2 - 0.5

[0087] Response characteristics of liquid crystal molecules:

[0088] Response time of liquid crystal molecules is approximately inversely proportional to the driving voltage , that is:

[0089] ;

[0090] where is the starting voltage threshold of liquid crystal molecules. The dynamic region requires a faster response speed (i.e., a shorter ), so a higher voltage needs to be applied. Experiments show that when the coefficient of the voltage excitation increment reaches 0.2, the response time can be shortened to 2 ms (meeting the 120 Hz refresh rate requirement); when > 0.5, the response time tends to saturate, but the power consumption increases significantly.

[0091] Trade - off between power consumption and voltage: The power consumption of the liquid crystal display is proportional to the square of the voltage ( ). Through experimental tests, when > 0.5, the power consumption increase exceeds 30%, while the response time improvement is less than 5%, so the upper limit is set to 0.5.

[0092] (2) Determination of the static region coefficient = 0.05 - 0.1

[0093] Static scene requirements: The static region has a lower requirement for response speed, but it is necessary to avoid the voltage being too low to maintain the stable state of liquid crystal molecules (i.e., ). Experiments show that when ≥ 0.05, the voltage increment can maintain the stability of liquid crystal molecules; when > 0.1, the power consumption increases but there is no actual performance improvement.

[0094] S2. Voltage excitation adjustment: Dynamically adjust the voltage value of liquid crystal molecules according to the exercise intensity, so that the liquid crystal display can respond to image changes at a high refresh rate;

[0095] In some embodiments, the voltage excitation adjustment module divides the image into a dynamic area and a static area according to the exercise intensity value The division logic is as follows: If the exercise intensity of a certain area ≥ (for example = 10), it is marked as a dynamic area; otherwise, it is marked as a static area.

[0096] In a possible implementation, the voltage adjustment formulas for the dynamic area and the static area are respectively:

[0097] ;

[0098] ;

[0099] Among them, is the reference voltage of liquid crystal molecules (for example, 2.5V), which is determined by the characteristics of liquid crystal materials and the design of the driving circuit. is the voltage adjustment coefficient of the dynamic area. is the voltage adjustment coefficient of the static area. is the normalized overall exercise intensity value.

[0100] As an option, an asymmetric voltage excitation strategy is adopted in the dynamic area. Specifically, according to the movement direction of the image content (such as horizontal direction, vertical direction), an asymmetric adjustment sensitive to the voltage application direction is performed. The formula is:

[0101] ;

[0102] Among them, is the direction sign function, which takes +1 for forward movement (such as from left to right) and -1 for reverse movement. The asymmetric adjustment is realized through the direction sign function. For example, a higher voltage (+1) is applied during forward movement and the voltage is appropriately reduced (-1) during reverse movement to optimize the turning speed of liquid crystal molecules.

[0103] In a possible implementation, the movement direction is calculated by the displacement vector of adjacent frame images. For example, the horizontal displacement , if > 0, it is forward movement, otherwise it is reverse movement.

[0104] In some embodiments, the dynamic area is further divided into a high-speed movement sub-area and a low-speed movement sub-area. For example:

[0105] If the exercise intensity of the sub-area ≥2 , marked as the high-speed motion sub-region, upper limit of the applied voltage ;

[0106] If ≤ <2 , marked as the low-speed motion sub-region, applied voltage .

[0107] As another option, the sub-region division is based on the image content type. For example:

[0108] Text edge region: Adopt a high voltage coefficient =0.5 for sharp display;

[0109] Natural image region: Adopt a medium coefficient =0.3 to balance power consumption.

[0110] In a possible implementation, the voltage excitation regulation module works in cooperation with the charge balance management module. For example:

[0111] When the charge balance management module detects long-term display in the static region, it notifies the voltage regulation module to set to the lower limit value of 0.05 to minimize static power consumption;

[0112] When the dynamic region has not been updated for multiple consecutive frames (e.g., 3 frames), gradually reduce to 0.2 to avoid afterimages caused by over-driving.

[0113] In some embodiments, the voltage excitation regulation module applies different voltages to different color channels (R / G / B). For example:

[0114] The liquid crystal molecules in the blue channel have a slower response, and a higher voltage coefficient is applied to them ;

[0115] The green channel has a faster response, and the coefficient remains ;

[0116] The red channel is between the two, and the coefficient is .

[0117] The formula is expanded to: ;

[0118] Among them, is the driving voltage value of the liquid crystal molecules for different color channels (red / green / blue), is the reference voltage of the liquid crystal molecules, is the voltage regulation coefficient for different color channels, used to compensate for the difference in the response speed of liquid crystal molecules of each color.

[0119] S3, Gray-scale adjustment: Dynamically adjust the voltage of liquid crystal molecules according to the gray-scale distribution of the image content to make the gray-scale transition smooth;

[0120] In some embodiments, the gray-scale distribution analysis is achieved through block statistics and local contrast calculation. Specifically, the image is divided into several sub-blocks (e.g., 8×8 pixels), and the following parameters are independently calculated for each sub-block:

[0121] Local maximum brightness : The maximum brightness value of the pixels within the sub-block, obtained by traversing the brightness values of all pixels within the sub-block and taking the maximum value;

[0122] Local minimum brightness : The minimum brightness value of the pixels within the sub-block, calculated in the same way as above;

[0123] Local average brightness : The average brightness value of the pixels within the sub-block, and the calculation formula is:

[0124] ;

[0125] where is the brightness value of the th pixel within the sub-block, is the total number of pixels within the local sub-block, representing the spatial size of the sub-block.

[0126] In a possible implementation, the contrast index of the sub-block is calculated as:

[0127] ;

[0128] where =0.01 is a smoothing factor to avoid the denominator being zero. This index quantifies the severity of the brightness change within the sub-block.

[0129] Classify according to the contrast index:

[0130] High-contrast sub-block ≥ (e.g., =2.0), such as text edges, highlight areas;

[0131] Low-contrast sub-block: < (e.g., =0.5), such as gradient backgrounds, shadow areas;

[0132] Medium-contrast sub-block: ≤ < , and adopt the default voltage adjustment strategy.

[0133] As an option, the voltage adjustment formula for high-contrast regions is:

[0134] ;

[0135] Where, is the gray-scale reference voltage, determined by the gamma curve of the display, for example = G 2.2 (G is the normalized gray-scale value, in the range of 0 to 1), implemented through a look-up table method or real-time calculation;

[0136] is the gray-scale adjustment coefficient, with a value range of 0.1 to 0.3, determined through experiments (for example, at a refresh rate of 120 Hz, = 0.2 can balance the response speed and power consumption);

[0137] is the current gray-scale change amount, and the calculation formula is , reflecting the gray-scale difference between adjacent frames;

[0138] is the sub-block contrast index, used to amplify the voltage change amplitude in high-contrast regions.

[0139] Specifically, when > , the voltage increase rate increases linearly with the increase in contrast. For example:

[0140] If = 3.0, then the voltage increase is 1.5 times the reference value ;

[0141] If = 4.0, then the voltage increase is 2.0 times the reference value, ensuring clear display of high-contrast details (such as text edges).

[0142] In a possible implementation, the voltage adjustment formula for low-contrast regions is:

[0143] ;

[0144] Where, is the attenuation coefficient, with a value range of 5 to 10 (for example = 8), controlling the steepness of voltage suppression, is the low-contrast threshold (such as 0.5), and the definitions of other parameters are the same as those in the high-contrast formula.

[0145] In some embodiments, to avoid display distortion caused by sudden changes in adjacent gray-scale voltages, a limit is imposed on the voltage change rate:

[0146] ;

[0147] Among them, is the maximum allowable voltage step (e.g., 0.1V), which is determined by the response characteristics of liquid crystal molecules, is the attenuation factor (e.g., 0.2), which controls the attenuation rate of the overshoot voltage, is the difference between the target voltage and the current voltage.

[0148] In a possible implementation, for the response differences of liquid crystal molecules in different color channels (R / G / B), the grayscale adjustment formula is extended to:

[0149] ;

[0150] Among them, is the reference voltage for each channel, e.g., = 2.6V, = 2.5V, = 2.8V, which is determined by the threshold voltage differences of liquid crystal molecules of each color;

[0151] is the adjustment coefficient for each channel, e.g., = 0.25, = 0.2, = 0.3, to compensate for the slower response of blue light.

[0152] Example: For the blue channel, if = 0.1, = 2.0, then:

[0153] ;

[0154] Compared with the green channel ( ), the voltage of the blue channel is higher to accelerate its response.

[0155] As a supplementary technical solution, the grayscale adjustment module works in cooperation with the motion amount detection module:

[0156] High-contrast sub-blocks in the dynamic area: Superimpose the motion intensity factor , and the formula is:

[0157] ;

[0158] Among them is the motion coupling coefficient, and its value range is 0.05 to 0.1 (e.g., = 0.08), which is determined through experiments.

[0159] Low-contrast sub-blocks in the static area: Reduce the refresh rate to 30Hz and adopt a suppression voltage , to reduce power consumption. For example:

[0160] ;

[0161] When = 0.3, the voltage increase approaches 0, and the further reduction of the refresh rate reduces the energy consumption.

[0162] In some embodiments, the grayscale reference voltage is dynamically adjusted according to the gamma curve of the display:

[0163] ;

[0164] Among them, is the normalized grayscale value (0 - 1). For example, the input grayscale 128 corresponds to = 128 / 255 ≈ 0.5;

[0165] is the gamma value (such as 2.2 or 1.8), which is determined by the display hardware configuration or the user mode (such as the sRGB mode);

[0166] is the normalization coefficient to ensure within the liquid crystal driving voltage range (such as 0 - 5V).

[0167] Example: If = 2.2, = 0.5, = 5.0, then:

[0168] ;

[0169] S4, Adaptive refresh rate switching: Automatically adjust the refresh rate according to the motion intensity and the image type, where the image type includes dynamic or static;

[0170] In some embodiments, the adaptive refresh rate switching module receives the motion intensity value SmotionS_{motion}Smotion from the motion amount detection module and generates a refresh rate control signal in combination with the image type classification result (dynamic / static). Specifically, the decision formula for the refresh rate RrefreshR_{refresh}Rrefresh is:

[0171] ;

[0172] Among them, is the dynamic threshold (such as ≥15) for determining a high - dynamic scene, is the static threshold (such as <5), used to determine low - dynamic or static scenes, and and are high, medium, and low refresh rates respectively (e.g., 120Hz, 60Hz, 30Hz).

[0173] In a possible implementation, image type classification is achieved through the following rules:

[0174] Dynamic image: The motion intensity within 3 consecutive frames ≥ ;

[0175] Static image: The motion intensity within 5 consecutive frames < .

[0176] As a supplementary technical solution, the dynamic threshold and the static threshold can be dynamically adjusted according to the ambient light sensor data:

[0177] In a low - light environment ( ≤50lux), reduce to 10 to improve the sensitivity to weak dynamics;

[0178] In a high - light environment ( ≥500lux), increase to 8 to avoid misjudging static scenes.

[0179] As an option, to avoid display stuttering caused by sudden changes in the refresh rate, a gradual refresh rate adjustment is adopted:

[0180] ;

[0181] where, is the instantaneous target refresh rate, is the current refresh rate, is the new refresh rate output by the decision module, is the transition rate coefficient (value range 0.2 - 0.5), controlling the adjustment speed, is the time step (e.g., 1 frame period, about 8.3ms@120Hz).

[0182] Specifically, when switching from 60Hz to 120Hz, the refresh rate is increased step - by - step according to until it stabilizes at 120Hz.

[0183] In some embodiments, the adaptive refresh rate module works in cooperation with the voltage excitation adjustment module to dynamically adjust voltage parameters according to the refresh rate:

[0184] High refresh rate mode (120Hz): The dynamic region voltage coefficient αdynamic is increased to the upper limit of 0.5 to ensure fast response;

[0185] Low refresh rate mode (30Hz): The static region voltage coefficient is reduced to the lower limit of 0.05 to minimize power consumption.

[0186] In a possible implementation, the correlation formula between the voltage coefficient and the refresh rate is:

[0187] ;

[0188] When = 120Hz, = 0.2 + 0.3·1 = 0.5; when = 30Hz .

[0189] Example: At a medium refresh rate of 60Hz, , balancing response and power consumption.

[0190] As a supplementary technical solution, the image type classification further combines regional distribution features:

[0191] Dynamic-dominated: The proportion of the dynamic region is ≥ 50%, marked as a dynamic image;

[0192] Static-dominated: The proportion of the static region is ≥ 70%, marked as a static image;

[0193] Mixed type: The proportion of the dynamic region is between 20% and 50%, marked as medium dynamic.

[0194] The formula for calculating the regional proportion is:

[0195] ;

[0196] Among them, is the number of pixels in the dynamic region, marked and output by the motion detection module, is the total number of pixels in the image (for example, at a resolution of 1920×1080 = 2,073,600).

[0197] In a possible implementation, the calculation period of the dynamic region proportion is synchronized with the refresh rate. For example, in the 120Hz mode, the proportion data is updated every 8.3ms; in the 30Hz mode, it is updated every 33.3ms.

[0198] In some embodiments, when the refresh rate is reduced to When the low refresh rate (e.g., 30 Hz), the charge balance management module triggers a periodic reverse voltage pulse, and its period formula is:

[0199] ;

[0200] Wherein, is the reverse voltage pulse period, is the pulse period coefficient, determined by experiments, is the low refresh rate value.

[0201] Example: When = 30 Hz and = 2, the reverse pulse period is = 2 × 33.3 ms = 66.6 ms.

[0202] In a possible implementation, the refresh rate decision module set up a power consumption prediction model, and its formula is:

[0203] ;

[0204] Wherein, is the predicted power consumption, is the refresh rate power consumption coefficient (e.g., 0.05 mW / Hz), is the voltage power consumption coefficient (e.g., 0.1 mW / V 2 ), is the output voltage of the voltage excitation regulation module.

[0205] Specifically, when the predicted power consumption exceeds the device heat dissipation threshold, the refresh rate is forced to be reduced to or .

[0206] S5. Charge balance management: When a static image is displayed for a long time, a reverse voltage pulse is applied regularly to remove charge accumulation.

[0207] In some embodiments, the charge balance management module determines whether to trigger a reverse voltage pulse by dynamically fusing the image update frequency and the static area ratio . The specific triggering logic is:

[0208] Trigger flag ;

[0209] Wherein, is the static determination threshold (e.g., = 5 Hz), is the static area ratio, and the calculation formula is:

[0210] ;

[0211] wherein is the binary mask of the static area output by the exercise amount detection module (the static area is marked as 1 and the dynamic area is marked as 0).

[0212] In a possible implementation, the image update frequency is calculated by the sliding window statistics method:

[0213] ;

[0214] wherein = 10 is the size of the statistical window, is the current refresh rate.

[0215] As an option, the amplitude and duration of the reverse voltage pulse are dynamically adjusted according to the display content and the degree of charge accumulation:

[0216] ;

[0217] ;

[0218] wherein, is the gray scale reference voltage (for example = 2.5V), is the reverse voltage coefficient, which is determined by experiments (for example = 0.8), is the continuous display time of the static image (unit: second), which is obtained in real time by the timer module, is the maximum allowable idle time (for example 60 seconds) to prevent overvoltage from damaging liquid crystal molecules, is the pulse width coefficient to control the pulse duty cycle (for example = 2).

[0219] In some embodiments, the reverse voltage amplitude is dynamically corrected according to the temperature Tpanel of the liquid crystal panel:

[0220] ;

[0221] wherein, is collected in real time by the temperature sensor (such as the DS18B20 sensor), = 25°C is the reference temperature.

[0222] Example: When = 40°C, the corrected voltage is:

[0223] .

[0224] A high refresh rate liquid crystal display driving system described below can be correspondingly referred to the high refresh rate liquid crystal display driving method described above.

[0225] Please refer to the appendix Figure 2 , a high refresh rate liquid crystal display driving system, applied to the above-mentioned high refresh rate liquid crystal display driving method, includes:

[0226] A motion detection module, configured to detect the dynamic change of an image and calculate the motion intensity;

[0227] A voltage excitation adjustment module, configured to dynamically adjust the voltage excitation value of liquid crystal molecules according to the motion intensity and the gray scale distribution;

[0228] A gray scale adjustment module, configured to dynamically adjust the voltage according to the gray scale information of the image content;

[0229] An adaptive refresh rate control module, configured to automatically adjust the refresh rate according to the motion intensity and the image type;

[0230] A charge balance management module, when a static image is displayed, configured to remove charge accumulation by applying a reverse voltage pulse.

[0231] The system of this embodiment can be used to execute the method embodiment above, and its principle and technical effect are similar, which will not be elaborated here.

[0232] Although the embodiments of the present invention have been shown and described, for those of ordinary skill in the art, it can be understood that various changes, modifications, substitutions and variations can be made to these embodiments without departing from the principle and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A high refresh rate liquid crystal display driving method, characterized in that: The following steps are involved: Motion detection: By comparing the current frame image with the previous frame image, the dynamic changes of the image are detected to obtain the motion intensity. The motion detection step includes: Compare the current frame image with the previous frame image at the pixel level and calculate the motion amount of each pixel; The comparison results are classified according to the motion intensity of the image area, and the area with a motion intensity greater than a preset threshold is marked as a dynamic area; Calculate the overall exercise intensity through the weighted average method and generate the exercise intensity value; Determining the increase or decrease of voltage excitation regulation according to the exercise intensity value; Voltage excitation adjustment: dynamically adjusting the voltage value of the liquid crystal molecules according to the motion intensity value, so that the liquid crystal display can respond to image changes at a high refresh rate, and the voltage excitation adjustment step includes: According to the motion intensity value calculated in the motion detection step, the image is divided into a dynamic area and a static area; For the dynamic region, a higher voltage value is applied to increase the response speed of the liquid crystal molecules; For the static region, a lower voltage value is applied to reduce power consumption; In the dynamic region, an asymmetric voltage regulation method is used to apply asymmetric excitation to the voltage according to the direction of movement; Grayscale adjustment: dynamically adjusting the voltage of the liquid crystal molecules according to the grayscale distribution of the image content to make the grayscale transition smooth. The grayscale adjustment step includes: Perform grayscale distribution analysis on the current frame image to detect high-contrast areas and low-contrast areas in the image; For high contrast areas, the voltage amplitude change is increased, allowing the LCD to accurately display details; For low contrast areas, reduce the voltage amplitude change to avoid transition distortion; Dynamically adjust the voltage amplitude of grayscale transition according to the results of grayscale distribution analysis; Adaptive refresh rate switching: automatically adjusts the refresh rate according to the motion intensity and image type, where the image type includes dynamic or static; Charge balance management: When static images are displayed for a long time, reverse voltage pulses are applied periodically to remove charge accumulation.

2. A high refresh rate liquid crystal display driving method according to claim 1, characterized in that: The adaptive refresh rate switching step comprises: The dynamics of the image content is determined based on the intensity of the motion in the voltage excitation modulation; For dynamic images with motion intensity greater than a preset value, a higher refresh rate is maintained; For static images or low-motion images, reduce the refresh rate; Adjust the refresh rate in real time according to the actual dynamic changes of the image.

3. A high refresh rate liquid crystal display driving method according to claim 1, characterized in that: The charge balance management step comprises: When displaying a static image, the image update frequency is monitored to determine whether charge balancing is required; When the image display is static or held for a long time, a reverse voltage pulse is applied to clear the charge accumulation; The applied reverse voltage pulse is periodically adjusted according to the image display state.

4. A high refresh rate liquid crystal display driving system, characterized in that: A high refresh rate liquid crystal display driving method applied to any one of claims 1 to 3, comprising: Motion detection module, used to detect dynamic changes in images and calculate motion intensity; A voltage excitation adjustment module dynamically adjusts the voltage excitation value of the liquid crystal molecules according to the motion intensity and grayscale distribution; Grayscale adjustment module, dynamically adjusting the voltage according to the grayscale information of the image content; An adaptive refresh rate control module that automatically adjusts the refresh rate according to the motion intensity and image type; The charge balance management module removes charge accumulation by applying a reverse voltage pulse when a static image is displayed.

5. A high refresh rate liquid crystal display screen driving system according to claim 4, characterized in that: The motion detection module calculates the motion intensity using the following formula: ； in, Weight coefficient, dynamic area , static area , and are the number of rows and columns of the image, respectively. is the normalized overall exercise intensity value, which is used to guide the voltage adjustment amplitude. is the pixel-level motion.

6. A high refresh rate liquid crystal display screen driving system according to claim 4, characterized in that: The voltage regulation of the voltage excitation regulation module satisfies: ； in, is the driving voltage value of the color channel, is the sub-channel reference voltage, is the channel adjustment coefficient, is the sub-block contrast index, is the current grayscale change.

7. A high refresh rate liquid crystal display driving system according to claim 4, characterized in that: The period and amplitude of the reverse voltage pulse applied by the charge balance management module satisfy: ； ； in, is the reverse voltage pulse period, is the pulse period coefficient, is a low refresh rate value, is the grayscale reference voltage, is the reverse voltage coefficient, is the amplitude of the reverse voltage pulse, The duration of static image display is obtained in real time by the timer module. is the maximum allowed idle time.

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