Efficient energy-saving vehicle-mounted LED backlight source and control method

Abstract

The invention relates to a high-efficiency and energy-saving vehicle-mounted LED backlight source and a control method, and the method comprises the steps: determining the target environment illumination intensity according to the illumination intensity, determining the distortion ratio of a display image according to the product of the driving speed and the target environment illumination intensity, and determining the distortion ratio of the display image according to the distortion ratio and the initial gray value corresponding to each pixel point. Determining a minimum clamping gray value and a maximum clamping gray value, generating a clamping gray value of a first target pixel point, expanding gray value distribution of the image to a preset gray range through linear mapping, determining an expanded gray value of each pixel point in the image, and generating a second target pixel point; and calculating a ratio between the initial gray value of each pixel point and the extended gray value corresponding to each pixel point, and taking a value obtained by performing weighted summation on a product of the ratio corresponding to each pixel point and preset initial LED backlight brightness as target LED backlight brightness. Therefore, the backlight brightness of the LED backlight source is reduced, and the technical effect that the vehicle-mounted display screen is efficient and energy-saving is achieved.

Description

Technical Field

[0001] The present disclosure relates to the technical field of LED backlight energy-saving display, and in particular to a high-efficiency energy-saving vehicle-mounted LED backlight source and a control method thereof. Background Art

[0002] With the continuous advancement of science and technology and the rapid development of the automobile industry, the application of car displays is becoming more and more extensive. As an important part of in-car information exchange and entertainment, the image quality and brightness of car displays have become important indicators for users to choose. As one of the most advanced lighting technologies, LED backlight is widely used in car displays. Its excellent performance enables car displays to provide clear and bright images under various environmental conditions.

[0003] The use of LED backlights brings many advantages to in-vehicle displays. First, compared with traditional backlights, LED backlights have higher brightness and better contrast. This means that under strong light or high-light environments, LED backlights can better prevent reflections and glare and provide clearer display effects. Secondly, LED backlights have a wider color gamut and better color reproduction capabilities, and can present more realistic and vivid colors. This allows drivers and passengers to obtain road and vehicle information more accurately and get a higher-quality entertainment experience. Summary of the invention

[0004] In order to overcome the technical problem of large energy consumption of vehicle-mounted LED backlight sources in the related art, the present invention provides a high-efficiency and energy-saving vehicle-mounted LED backlight source and a control method.

[0005] According to a first aspect of an embodiment of the present disclosure, there is provided a high-efficiency and energy-saving vehicle-mounted LED backlight control method, which is applied to a vehicle and includes: When the current driving speed of the vehicle exceeds a preset vehicle speed threshold, light intensities of the current environment of the vehicle are collected based on light sensors arranged at multiple positions of the vehicle, and target environment light intensity is determined according to the light intensities collected by the light sensors at each position; Determining the distortion ratio of the image currently displayed on the vehicle-mounted display screen configured on the vehicle according to the product between the driving speed and the target ambient light intensity, wherein the comparison table is determined according to a linear positive proportional relationship between the product and the distortion ratio; Determine a minimum clamped grayscale value and a maximum clamped grayscale value during grayscale stretching according to the distortion ratio and the acquired initial grayscale value corresponding to each pixel in the image, and construct a grayscale clamping interval according to the minimum clamped grayscale value and the maximum clamped grayscale value; Performing a grayscale value clamping transformation on a first target pixel whose initial grayscale value is outside the grayscale clamping interval to generate a clamped grayscale value of the first target pixel, and extending the grayscale value distribution of the image to a preset grayscale range through linear mapping according to the clamped grayscale value of the first target pixel and the initial grayscale value of a second target pixel whose initial grayscale value is within the grayscale clamping interval to determine an extended grayscale value of each pixel in the image; Calculate the ratio between the initial grayscale value of each pixel and the extended grayscale value corresponding to each pixel, and take the value obtained by weighted summing the product of the ratio corresponding to each pixel and the preset initial LED backlight brightness as the target LED backlight brightness currently displayed by the image, and adjust the display brightness of the LED backlight source of the vehicle display screen according to the target LED backlight brightness. The weight of each pixel in the weighted summation process is related to the display position of the pixel on the vehicle display screen.

[0006] Optionally, the grayscale value distribution of the image is extended to a preset grayscale range by linear mapping according to the clamped grayscale value of the first target pixel and the initial grayscale value of the second target pixel whose initial grayscale value is within the grayscale clamping interval, so as to determine the extended grayscale value of each pixel in the image, including: Determine a maximum grayscale value and a minimum grayscale value among the pixels according to the clamped grayscale value of the first target pixel and the initial grayscale value of the second target pixel; Determine the difference between the maximum grayscale value and the minimum grayscale value as a grayscale value distribution expansion adjustment value; respectively calculating a first difference between the clamped grayscale value of the first target pixel and the minimum grayscale value, and a second difference between the initial grayscale value of the second target pixel and the minimum grayscale value; According to the first difference, the second difference and the preset grayscale range, the grayscale value of each pixel in the currently displayed image is converted to generate the extended grayscale value.

[0007] Optionally, the extended grayscale value of each pixel is determined by the following formula: ; wherein said is the clamped grayscale value of the first target pixel, or is the initial grayscale value of the second target pixel, is the maximum grayscale value, is the minimum grayscale value, is the extended grayscale value, the is the maximum grayscale value of the preset grayscale range, is the minimum grayscale value of the preset grayscale range.

[0008] Optionally, determining the distortion ratio of the image currently displayed on the vehicle-mounted display screen configured on the vehicle according to the product of the driving speed and the target ambient light intensity includes: Obtaining the historical driving speed of the vehicle, and determining the maximum driving speed of the vehicle according to the historical driving speed; and obtaining the historical light intensity collected by the light sensor, and determining the maximum light intensity of the environment in which the vehicle is located according to the historical light intensity; Acquire a speed weighted index and a light weighted index, wherein the speed weighted index is used to indicate the degree of influence of the vehicle's travel speed on the distortion ratio, and the light weighted index is used to indicate the degree of influence of the light intensity on the distortion ratio; The distortion ratio is determined by the following formula: ; wherein, D is the distortion ratio, is the driving speed, is the maximum driving speed, is the light intensity; is the maximum light intensity, is the speed weighted index, A weighted index for the light.

[0009] Optionally, the speed weighted index is determined by: Photographing a first shooting scene at a first driving speed to generate a first detection image, and photographing the first shooting scene in a stationary state to generate a second detection image; Executing a first recursive parameter updating process, the first recursive parameter updating step comprising: inputting an initial recursive parameter into a recursive weighter, weighting the pixel values ​​in the first detection image according to the first speed weighting index, and generating a third detection image; when the average pixel difference between the pixel value of each pixel point in the third detection image and the pixel value of each pixel point in the second detection image is greater than a set pixel difference, updating the recursive weighter based on the initial recursive parameter to obtain an updated recursive parameter; Execute a second recursive parameter updating process, wherein the second recursive parameter updating step comprises: inputting the updated recursive parameter into the recursive weighter, determining a second speed weighting index according to the updated recursive parameter and the first speed weighting index, weighting the pixel values ​​in the first detection image according to the second speed weighting index to generate a fourth detection image; when the average pixel difference between the pixel value of each pixel point in the fourth detection image and the pixel value of each pixel point in the second detection image is greater than the set pixel difference and less than the average pixel difference in the previous recursive updating process, updating the recursive performance parameter of the recursive weighter based on the updated recursive parameter to obtain an updated recursive parameter; Repeat the second recursive parameter updating process until the average pixel amplitude difference in the second recursive parameter updating process is less than or equal to the set pixel difference, and then update the first speed weighted index according to the second recursive parameter to generate the speed weighted index.

[0010] Optionally, performing a grayscale value clamping transformation on a first target pixel whose initial grayscale value is outside the grayscale clamping interval to generate a clamped grayscale value of the first target pixel includes: and obtaining a first initial grayscale value of the first target pixel; The first initial grayscale value is compared with the maximum clamped grayscale value and the minimum clamped grayscale value, the grayscale of the first pixel point greater than the maximum clamped grayscale value is set to the maximum clamped grayscale value, and the grayscale of the pixel point less than the minimum clamped grayscale value is set to the minimum clamped grayscale value, so as to generate the aforementioned clamped grayscale value of the first target pixel point.

[0011] Optionally, determining the target environment light intensity according to the light intensity collected by the light sensor at each of the directions includes: Obtaining the influence weight of the light sensor at each of the directions on the vehicle-mounted display screen; The light intensity is weightedly summed according to the influence weight to generate the target environment light intensity.

[0012] According to a second aspect of an embodiment of the present disclosure, there is provided a high-efficiency and energy-saving vehicle-mounted LED backlight source control device, which is applied to a vehicle and includes: an acquisition module, configured to collect the light intensity of the environment in which the vehicle is currently located based on light sensors arranged at multiple positions of the vehicle when the current driving speed of the vehicle exceeds a preset vehicle speed threshold, and determine the target environment light intensity according to the light intensity collected by the light sensors at each position; A first determination module is used to determine the distortion ratio of the image currently displayed on the vehicle-mounted display screen configured on the vehicle according to the product between the driving speed and the target ambient light intensity, wherein the comparison table is determined according to a linear positive proportional relationship between the product and the distortion ratio; A construction module, used to determine the minimum clamped grayscale value and the maximum clamped grayscale value during grayscale stretching according to the distortion ratio and the acquired initial grayscale value corresponding to each pixel in the image, and to construct a grayscale clamping interval according to the minimum clamped grayscale value and the maximum clamped grayscale value; A second determination module is used to perform a grayscale value clamping transformation on a first target pixel point whose initial grayscale value is outside the grayscale clamping interval, generate a clamped grayscale value of the first target pixel point, and expand the grayscale value distribution of the image to a preset grayscale range through linear mapping according to the clamped grayscale value of the first target pixel point and the initial grayscale value of the second target pixel point whose initial grayscale value is within the grayscale clamping interval, so as to determine an extended grayscale value of each pixel point in the image; An execution module is used to calculate the ratio between the initial grayscale value of each pixel point and the extended grayscale value corresponding to each pixel point, and take the value obtained by weighted summing the product of the ratio corresponding to each pixel point and the preset initial LED backlight brightness as the target LED backlight brightness currently displayed by the image, and adjust the display brightness of the LED backlight source of the vehicle display screen according to the target LED backlight brightness. The weight of each pixel point in the weighted summing process is related to the display position of the pixel point on the vehicle display screen.

[0013] According to a third aspect of the embodiments of the present disclosure, a highly efficient and energy-saving vehicle-mounted LED backlight source is proposed, comprising: processor; a memory for storing processor-executable instructions; The processor is configured to execute executable instructions in the memory to implement the high-efficiency and energy-saving vehicle-mounted LED backlight source control method described in any one of the first aspects of the present disclosure.

[0014] According to the fourth aspect of the embodiments of the present disclosure, a computer-readable storage medium is proposed, on which a computer program is stored. When the program is executed by a processor, the steps of the high-efficiency and energy-saving vehicle-mounted LED backlight control method described in any one of the first aspects of the present disclosure are implemented.

[0015] The technical solution provided by the embodiments of the present disclosure may have the following beneficial effects: In the case where the current driving speed of the vehicle exceeds a preset speed threshold, the light intensity of the current environment of the vehicle is collected based on light sensors arranged at multiple positions of the vehicle, and the target environment light intensity is determined according to the light intensity collected by the light sensors at various positions, and the distortion ratio of the image currently displayed on the vehicle-mounted display screen configured on the vehicle is determined according to the product between the driving speed and the target environment light intensity, wherein the comparison table is determined according to a linear positive proportional relationship between the product and the distortion ratio, and the minimum clamped grayscale value and the maximum clamped grayscale value during grayscale stretching are determined according to the distortion ratio and the initial grayscale value corresponding to each pixel point in the acquired image, and a grayscale clamping interval is constructed according to the minimum clamped grayscale value and the maximum clamped grayscale value, and a first target pixel point whose initial grayscale value is outside the grayscale clamping interval is subjected to the grayscale clamping operation. The grayscale value of the row is clamped and transformed to generate the clamped grayscale value of the first target pixel point, and according to the clamped grayscale value of the first target pixel point and the initial grayscale value of the second target pixel point whose initial grayscale value is within the grayscale clamping interval, the grayscale value distribution of the image is extended to the preset grayscale range through linear mapping to determine the extended grayscale value of each pixel point in the image, and the ratio between the initial grayscale value of each pixel point and the extended grayscale value corresponding to each pixel point is calculated, and the value after weighted summation of the product of the ratio corresponding to each pixel point and the preset initial LED backlight brightness is used as the target LED backlight brightness currently displayed by the image, and the display brightness of the LED backlight source of the vehicle display screen is adjusted according to the target LED backlight brightness. The weight of each pixel point in the weighted summation process is related to the display position of the pixel point on the vehicle display screen. Thus, the grayscale value of the displayed image is improved by image processing, and the LED backlight brightness of the vehicle display screen is reduced, so as to ensure that the backlight brightness of the LED backlight source is reduced without affecting the transmittance of the displayed image during the LED backlight adjustment process, so as to achieve the technical effect of high efficiency and energy saving of the vehicle display screen.

[0016] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

[0018] Figure 1 It is a flow chart of a method for controlling an efficient and energy-saving vehicle-mounted LED backlight source according to an embodiment of the present disclosure.

[0019] Figure 2 The present invention is a block diagram of an energy-efficient vehicle-mounted LED backlight source control device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0020] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present disclosure. Instead, they are merely examples of devices and methods consistent with some aspects of the present disclosure as detailed in the appended claims.

[0021] It should be noted that all actions of acquiring signals, information or data in the present disclosure are carried out in compliance with the relevant data protection laws and policies of the country where the device is located and with the authorization given by the owner of the corresponding device.

[0022] Figure 1 FIG. 1 is a flow chart of a method for controlling an efficient and energy-saving vehicle-mounted LED backlight source according to an embodiment of the present disclosure. Figure 1 As shown, applied to a vehicle, the method includes: Step S11, when the current driving speed of the vehicle exceeds the preset speed threshold, the light intensity of the current environment of the vehicle is collected based on the light sensors arranged in multiple directions of the vehicle, and the target environment light intensity is determined based on the light intensity collected by the light sensors in various directions.

[0023] For example, in this embodiment, the current driving speed of the vehicle is monitored in real time, and the current driving speed of the vehicle is used to determine whether the vehicle is currently in a normal driving state, and after determining that the vehicle is in a normal driving state, the brightness of the vehicle's on-board LED backlight source is adjusted. The preset speed threshold can be set to 30km / h. When the vehicle speed is greater than 30km / h, it is determined that the driver has no entertainment needs based on the on-board display screen, that is, the current on-board display screen will not be used as an entertainment tool for the driver, but as a tool for auxiliary driving. For example, the driver uses the on-board display screen for navigation purposes, and the driver uses the on-board display screen for audio purposes. At this time, in order to increase the vehicle driver's focus on vehicle driving, the display demand for the on-board display screen is not high. Therefore, the brightness of the LED backlight source can be reduced by sacrificing the grayscale value of part of the image, thereby achieving an energy-saving effect.

[0024] It should be noted that the energy-saving adjustment method for the vehicle-mounted LED backlight in the related art is to directly reduce the LED backlight. However, this method will reduce the display brightness of the current display image on the vehicle display screen. In most scenarios, the display may be unclear, and the driver cannot accurately identify the image information, and even cause a serious safety accident. Therefore, the present application proposes a method of reducing the screen brightness of the vehicle display screen while ensuring the display effect of the current display image as much as possible, so as to achieve the technical effect of ensuring the display effect and energy saving of the LED backlight source. The image effect that the driver can observe is related to the transmittance of the image. For example, L=b×t. Among them, L is the image transmittance, b is the backlight of the vehicle display screen, and t represents the gray value information of the vehicle display image. In order to ensure that the observation effect of the vehicle driver remains unchanged, it is necessary to ensure that the value of L remains unchanged. In the process of energy-saving control of the vehicle-mounted LED backlight source, the current driving environment of the vehicle will change. If the backlight source is not adjusted, the driver will experience glare observation effect under the environment of strong light source; or dark light observation effect under the environment of dark light source. This causes the driver to have a blurred observation effect of the vehicle-mounted display device in strong light and dark light environments. Therefore, in the related art, the LED backlight source of the vehicle-mounted display device is adapted according to the ambient light intensity. However, during the adjustment process, since the display effect of the vehicle-mounted display device is not taken into consideration, the adjustment effect may still be poor, resulting in a poor display effect, which affects the driver's observation effect. Therefore, in this embodiment, a method is proposed to reduce the brightness of the LED backlight source by increasing the grayscale value of the current display image while ensuring the transmittance of the current display image of the vehicle-mounted display screen, so as to achieve the technical effect of energy-saving control. That is, under the condition of ensuring that the L value in the above formula remains unchanged, the b value of the vehicle-mounted LED backlight source is reduced by increasing the t value of the current display image.

[0025] For example, in this embodiment, the adjustment method of the LED backlight source is related to the ambient light intensity of the current environment. The ambient light will be affected by the collection position, collection time and collection direction, presenting a variety of completely different data. Therefore, in order to improve the accuracy of the collection of ambient light intensity, multiple light sensors are set at multiple directions of the vehicle, and based on the multiple light sensors, the light intensity of the current environment is collected within a set time range, and the ambient light intensity of the current vehicle's environment at multiple different directions. Then, the multiple corresponding light intensities collected by the light sensors at the multiple directions are processed to generate the target ambient light intensity of the environment in which the current vehicle is located during driving.

[0026] It should be noted that the present embodiment does not limit the processing method of the light intensity collected by the light sensors in various directions. For example, the light intensity collected by the light sensors in multiple directions may be averaged to obtain the target ambient light intensity. The light intensity values ​​collected by the light sensors in multiple directions may also be analyzed for effectiveness to select the most effective light intensity as the target ambient light intensity.

[0027] Optionally, in some embodiments, the above step S11 includes: Obtain the influence weight of the light sensors in various directions on the vehicle display screen; The light intensity is weighted and summed according to the influence weight to generate the target environment light intensity.

[0028] For example, in this embodiment, the light sensors arranged at different positions of the vehicle have different degrees of influence on the display effect of the image currently displayed on the vehicle display screen. The setting positions of the light sensors at different positions on the vehicle determine the degree of influence of the ambient light at different positions on the vehicle display screen. For example, under normal circumstances, the ambient light around the front driver's seat of the vehicle has a greater degree of influence on the vehicle display device, and the ambient light around the rear seat of the vehicle has a smaller degree of influence on the vehicle display device. The display image of the vehicle display device under different strong light environments and different orientations of ambient light conditions can be captured by image acquisition, and the display image can be compared with the display image in the real environment, so as to determine the degree of influence of the ambient light on the vehicle display device in each position, and generate the influence weight corresponding to the light sensors at each position according to the degree of influence.

[0029] The influence weight is multiplied by the light intensity of the environment collected by the light sensors in multiple directions to obtain the light value corresponding to the light sensor in each direction, and then the light values ​​of the light sensors in each direction are added to obtain the target ambient light intensity of the vehicle's current environment.

[0030] Step S12, determining the distortion ratio of the image currently displayed on the vehicle-mounted display screen configured on the vehicle according to the product between the driving speed and the target environment light intensity, wherein the product and the distortion ratio are in a linear positive proportional relationship.

[0031] For example, in this embodiment, it is necessary to adjust the grayscale value of the image displayed on the vehicle display screen. The grayscale value may cause a certain degree of distortion of the current displayed image. It should be noted that the distortion is based on the controllable range of human eye adjustment, and it does not affect the observation effect of the vehicle driver on the distorted image displayed on the vehicle display screen. The adjustment of the grayscale value is linearly related to the distortion ratio of the image. For example, the higher the grayscale value adjustment ratio, the higher the distortion ratio of the current image. In this embodiment, the influence of the vehicle speed and the target environment light intensity on the image distortion ratio is detected. Under different distortion ratios, the product between different driving speeds and target environment light intensities is adjusted, and the image is collected under different driving speeds and target environment light intensities to obtain multiple different captured images. The captured image is compared with the initial image to determine the corresponding image distortion ratio under different driving speeds and target light intensity products.

[0032] In this embodiment, the linear relationship between the product of the driving speed and the target ambient light intensity and the distortion ratio of the image currently displayed by the vehicle-mounted display screen configured on the vehicle can be determined by limited experiments. For example, the experimental data between multiple sets of distortion ratios and products can be collected by the control variable method, and the linear relationship between the result and the distortion ratio can be determined based on the experimental data. Based on limited experimental determination, the product and the distortion ratio are in a linear positive proportional relationship. Therefore, the distortion ratio of the currently displayed image can be determined based on the product of the driving speed and the target ambient light intensity, and the linear positive proportional relationship. In this embodiment, the grayscale value of the currently displayed image of the vehicle-mounted display screen can be adjusted by the distortion ratio, and the display effect of the current display screen can be made consistent with the visual display effect of the driver's current vehicle speed and current light intensity according to the distortion ratio, so as to ensure the display fidelity of the vehicle-mounted display screen, so that the driver's observation effect is consistent.

[0033] Optionally, in some embodiments, the above step S12 includes: Obtain the historical driving speed of the vehicle, and determine the maximum driving speed of the vehicle based on the historical driving speed; and obtain the historical light intensity collected by the light sensor, and determine the maximum light intensity of the environment where the vehicle is located based on the historical light intensity; Obtaining a speed weighted index and a light weighted index, wherein the speed weighted index is used to indicate the degree of influence of the vehicle's running speed on the distortion ratio, and the light weighted index is used to indicate the degree of influence of the light intensity on the distortion ratio; The distortion ratio is determined by the following formula: ; Where D is the distortion ratio, is the driving speed, is the maximum driving speed, is the light intensity; is the maximum light intensity, is the speed weighted index, The light weighting exponent.

[0034] For example, in this embodiment, the current historical speed of the vehicle and the historical environmental intensity of the vehicle's current environment are consulted. Thus, the maximum speed of the vehicle within a preset time range and the historical maximum light intensity of the vehicle's environment are determined. Based on the maximum speed of the vehicle and the maximum light intensity of the vehicle's environment, the vehicle is adaptively adjusted. Then the speed weighted index and fiber weighted index corresponding to the vehicle are obtained, and the speed weighted index is used to indicate the degree of influence of the vehicle's speed on the distortion ratio. In this embodiment, the speed weighted indication can be measured by controlling the variable, and the image distortion ratio of the image at different driving speeds is determined by controlling the ambient light intensity to remain unchanged, thereby determining the speed weighted index. Among them, the fiber weighted index is used to indicate the influence of light intensity on the distortion ratio. The influence of different ambient light intensities on the image distortion ratio at the same driving speed is measured by the control variable method, and the influence of light illumination on the image distortion ratio is determined, thereby determining the light weighted index. In this embodiment, the image information captured under different conditions can be compared with the image information in the initial state by pixel comparison, thereby determining the image distortion ratio under different states.

[0035] The distortion ratio of the image is determined according to the following formula: ; Where D is the distortion ratio, is the driving speed, is the maximum driving speed, is the light intensity; is the maximum light intensity, is the speed weighted index, The light weighting exponent.

[0036] For example, in this embodiment, the degree of influence of the driving speed and the light intensity corresponding to the ambient light on the image distortion ratio can be determined based on the above method, and the current vehicle driving speed and the ambient light intensity corresponding to the current vehicle environment can be calculated through the above formula. If the corresponding display image on the vehicle display screen is distorted, the visual uniformity of the vehicle driver and the observation effect of the vehicle driver can be guaranteed.

[0037] Optionally, in some embodiments, the speed weighting index is determined by: Photographing a first shooting scene at a first driving speed to generate a first detection image, and photographing the first shooting scene in a stationary state to generate a second detection image; Executing a first recursive parameter updating process, the first recursive parameter updating step includes: inputting an initial recursive parameter into a recursive weighter, weighting the pixel values ​​in the first detection image according to a first speed weighting index, and generating a third detection image; when the average pixel difference between the pixel value of each pixel point in the third detection image and the pixel value of each pixel point in the second detection image is greater than a set pixel difference, updating the recursive weighter based on the initial recursive parameter to obtain an updated recursive parameter; Execute a second recursive parameter update process, the second recursive parameter update step comprising: inputting an updated recursive parameter into a recursive weighter, determining a second speed weighted index according to the updated recursive parameter and the first speed weighted index, weighting the pixel values ​​in the first detection image according to the second speed weighted index, and generating a fourth detection image; when the average pixel difference between the pixel value of each pixel point in the fourth detection image and the pixel value of each pixel point in the second detection image is greater than a set pixel difference and less than the average pixel difference in the previous recursive update process, updating the recursive performance parameter of the recursive weighter based on the updated recursive parameter to obtain an updated recursive parameter; The second recursive parameter updating process is repeatedly executed until the average pixel amplitude difference in the second recursive parameter updating process is less than or equal to the set pixel difference, and the first speed weighted index is updated according to the second recursive parameter to generate a speed weighted index.

[0038] For example, in this embodiment, taking the speed weighted index as an example, the speed weighted index can be determined by recursion, and the speed weighted index can be determined based on a recursive weighter. In the experimental stage, the first shooting scene at the first driving speed can be imaged to generate a first detection image, and the first shooting scene in a stationary state can be photographed to generate a second detection image. The speed weighted index is determined by comparing the detection images.

[0039] Corresponding to the above-mentioned first detection image and the second detection image, a recursive weighter is used in this embodiment to determine the speed weighted index, and the recursive weighter includes an initial recursive parameter. First, the updating process of the first recursive parameter is executed: the initial recursive parameter is input into the recursive weighter, and a recursive transformation is performed based on the initial recursive parameter. The pixel values ​​in the first detection image are weighted according to the first speed weighted index to generate a third detection image, wherein the first speed weighted index is a randomly configured speed weighted index, or it can be a speed weighted index input by relevant staff based on the current measurement environment. The pixel values ​​of the first detection image are weighted according to the first speed weighted indication to generate a third detection image. Then, the pixel difference between the third detection image and the pixel points at the same position in the second detection image is calculated. When the average pixel difference between the pixel values ​​of each pixel point in the third detection image and the pixel values ​​of each pixel point in the second detection image is greater than the set pixel difference, it means that the current first speed weighted index is not good, and the recursive parameter of the recursive weighter needs to be adjusted, and the recursive transformation is performed again. The recursive parameter that can adapt to the current speed condition is collected. For example, the recursive weighter is updated based on the initial recursive parameter to obtain the updated recursive parameter.

[0040] After the recursive parameter is updated, the updating process of the second recursive parameter is executed. In this embodiment, the second recursive parameter updating step includes: inputting the updated recursive parameter into the recursive weighter, and determining the second speed weighted index according to the updated recursive parameter and the first speed weighted index. It should be noted that in this embodiment, the first speed weighted index can be linearly transformed based on the updated recursive parameter to obtain the second speed weighted index. And the pixel values ​​in the first detection image are weighted according to the second speed weighted index to generate a fourth detection image. The fourth detection image is detected, and if the average pixel difference between the pixel value of each pixel point in the fourth detection image and the pixel value of each pixel point in the second detection image is greater than the set pixel difference, and less than the average pixel difference in the previous recursive update process, the recursive performance parameter of the recursive weighter is updated based on the updated recursive parameter to obtain the updated recursive parameter. At this time, it is determined that the recursive performance parameters of the recursive weighter meet the set conditions, and the speed weighted index can be updated according to the updated recursive performance parameters. When the average pixel amplitude difference is less than or equal to the set pixel difference during the second recursive parameter update process, it means that the speed weighted index determined by the current detection can meet the preset conditions, and the target speed weighted index obtained during this recursive update process is used as the speed weighted index.

[0041] Optionally, in some embodiments, the illumination weighted index associated with the ambient illumination intensity may be determined based on the recursive determination method of the speed weighted index. The illumination weighted index determination method may also be recursively weighted based on a recursive weighter, which will not be described in detail here.

[0042] Step S13, determining the minimum clamped grayscale value and the maximum clamped grayscale value during grayscale stretching according to the distortion ratio and the initial grayscale value corresponding to each pixel in the acquired image, and constructing a grayscale clamping interval according to the minimum clamped grayscale value and the maximum clamped grayscale value.

[0043] For example, in this embodiment, the current display image in the vehicle display screen is distorted according to the distortion ratio, and the grayscale value of some pixels in the display image is increased to make the display image distorted within a preset range. According to the distortion ratio and the initial grayscale value corresponding to each pixel in the image, the current display image is grayscale stretched, and the minimum clamped grayscale value and the maximum clamped grayscale value in the grayscale stretching process are determined. For example, in this embodiment, the maximum grayscale value and the minimum grayscale value of each pixel in the current display image can be determined according to the initial grayscale value of each pixel in the image, and the maximum grayscale value and the minimum grayscale value are divided by the distortion ratio to obtain the minimum clamped grayscale value and the maximum clamped grayscale value in the grayscale stretching process. It should be noted that the grayscale interval in the related art is [0,255]. When the maximum clamped grayscale value or the minimum clamped grayscale value exceeds 255 based on the above calculation method, the maximum clamped grayscale value or the minimum clamped grayscale value is set to 255.

[0044] After the minimum clamped grayscale value and the maximum clamped grayscale value are determined in the above manner, the interval between the minimum clamped grayscale value and the maximum clamped grayscale value is used as the grayscale clamping interval.

[0045] Step S14, performing a grayscale value clamping transformation on the first target pixel point whose initial grayscale value is outside the grayscale clamping interval to generate a clamped grayscale value of the first target pixel point, and based on the clamped grayscale value of the first target pixel point and the initial grayscale value of the second target pixel point whose initial grayscale value is within the grayscale clamping interval, expanding the grayscale value distribution of the image to a preset grayscale range through linear mapping to determine the extended grayscale value of each pixel in the image.

[0046] For example, after the grayscale clamping interval is determined through the above steps, the grayscale value of each pixel in the current display image is stretched according to the grayscale clamping interval to expand the grayscale value of each pixel based on the ratio. In this embodiment, according to the initial grayscale value of the current display image, the grayscale value clamping transformation is performed on the first target pixel outside the grayscale clamping interval to generate the clamped grayscale value of the first target pixel.

[0047] Optionally, in some embodiments, the above step S14 includes: Obtaining a first initial grayscale value of a first target pixel; The first initial grayscale value is compared with the maximum clamped grayscale value and the minimum clamped grayscale value, the grayscale of the first pixel point greater than the maximum clamped grayscale value is set to the maximum clamped grayscale value, and the grayscale of the pixel point less than the minimum clamped grayscale value is set to the minimum clamped grayscale value, so as to generate a front clamped grayscale value of the first target pixel point.

[0048] For example, in this embodiment, the first initial grayscale value of the first target pixel in the initial image is obtained. The first initial grayscale value is compared with the maximum clamped grayscale value and the minimum clamped grayscale value in the clamping interval to determine the size relationship between the first initial grayscale value and the maximum clamped grayscale value and the minimum clamped grayscale value. The grayscale value of the pixel point greater than the maximum clamped grayscale value in the first target pixel point is set to the maximum clamped grayscale value, and the grayscale value of the pixel point less than the minimum clamped grayscale value in the first target pixel point is set to the minimum clamped grayscale value, and then the grayscale value of the pixel point obtained after the above clamping transformation is used as the clamped grayscale value. It should be noted that, similar to the above-mentioned grayscale clamping interval, the grayscale value range is [0, 255]. In this embodiment, during the grayscale stretching process, the maximum pixel value of the first target pixel point is 255.

[0049] In this embodiment, after the grayscale value of the first target pixel is grayscale stretched, the grayscale value distribution of the image is expanded to a preset grayscale range through linear mapping according to the grayscale value of the first target pixel and the grayscale value of the second target pixel. Among them, the second target pixel is a pixel whose initial grayscale value is within the above-mentioned grayscale clamping interval, that is, the second target pixel is a pixel that does not need to be grayscale stretched. In this embodiment, after the pixel value of the currently displayed image is grayscale stretched based on the above steps, in order to ensure the authenticity of the image, it is necessary to expand the current image distribution to a preset grayscale range, perform a distribution expansion transformation on the grayscale stretched image, and expand the grayscale value distribution of the current image to a preset grayscale range through linear mapping to generate an expanded grayscale value of the pixel.

[0050] Optionally, in some embodiments, the above step S14 includes: Determine the maximum grayscale value and the minimum grayscale value of the pixel points according to the clamped grayscale value of the first target pixel point and the initial grayscale value of the second target pixel point; Determine the difference between the maximum grayscale value and the minimum grayscale value as the grayscale value distribution expansion adjustment value; Calculate a first difference between a clamped grayscale value and a minimum grayscale value of a first target pixel, and a second difference between an initial grayscale value and a minimum grayscale value of a second target pixel; According to the first difference, the second difference and the preset grayscale range, the grayscale value of each pixel in the currently displayed image is converted to generate an extended grayscale value.

[0051] For example, in this embodiment, the maximum grayscale value and the minimum grayscale value are determined from the target pixel using the clamped grayscale value of the first target pixel and the initial grayscale value of the second target pixel. The difference between the maximum grayscale value and the minimum grayscale value is used as the grayscale value distribution expansion adjustment value. Then, the first difference between the clamped grayscale value and the minimum grayscale value of the first target pixel and the second difference between the initial grayscale value and the minimum grayscale value of the second target pixel are calculated respectively. According to the first difference, the second difference and the preset grayscale range, the grayscale value of each pixel in the currently displayed image is converted to generate an extended grayscale value.

[0052] Optionally, in some embodiments, the extended grayscale value of each pixel is determined by the following formula: ; wherein said is the grayscale value of the pixel, is the maximum grayscale value, is the minimum grayscale value, is the extended grayscale value, the is the maximum value of the preset grayscale range, is the minimum value of the preset grayscale range.

[0053] For example, in this embodiment, the preset grayscale range can be set to [0, 255], and the preset grayscale range is substituted into the above formula to calculate the extended grayscale value.

[0054] Step S15, calculate the ratio between the initial grayscale value of each pixel and the extended grayscale value corresponding to each pixel, and take the weighted sum of the product of the ratio corresponding to each pixel and the preset initial LED backlight brightness as the target LED backlight brightness currently displayed in the image, and adjust the display brightness of the LED backlight source of the vehicle display screen according to the target LED backlight brightness. The weight of each pixel in the weighted summation process is related to the display position of the pixel on the vehicle display screen.

[0055] For example, in this embodiment, the initial grayscale value corresponding to the pixel point determined by the above calculation is compared with the grayscale value of each pixel point obtained after the grayscale stretching and distribution expansion transformation, and the grayscale value of the pixel point at the same position is obtained to obtain the ratio between the initial grayscale value and the expanded grayscale value, which is the grayscale transformation ratio of each pixel point in the current display image. In order to ensure that the L value in the above formula remains unchanged, the adjustment value of the LED backlight brightness at the corresponding position of each pixel point can be calculated and determined according to the grayscale transformation ratio of each pixel point. For example, the product of the ratio corresponding to each pixel point and the initial LED backlight brightness pre-set at the corresponding position of the pixel point is weighted and summed to obtain the target LED backlight brightness currently displayed in the image. And the display brightness of the LED backlight source of the vehicle display screen is adjusted according to the target LED backlight brightness, wherein the weight of each pixel point in the weighted summation process is related to the display position of the pixel point on the vehicle display screen. For example, the center line of the vehicle display screen can be used as a reference to divide the two side frames horizontally, and the weights of the pixels at the same vertical position are the same. Along the border, the farther away the vertical pixel is from the center line, the weight value decreases.

[0056] Through the above method, when the current driving speed of the vehicle exceeds the preset speed threshold, the light intensity of the current environment of the vehicle is collected based on the light sensors arranged at multiple positions of the vehicle, and the target environment light intensity is determined according to the light intensity collected by the light sensors at various positions, and the distortion ratio of the image currently displayed on the vehicle-mounted display screen configured on the vehicle is determined according to the product between the driving speed and the target environment light intensity, wherein the comparison table is determined according to the linear positive proportional relationship between the product and the distortion ratio, and the minimum clamped grayscale value and the maximum clamped grayscale value during grayscale stretching are determined according to the distortion ratio and the initial grayscale value corresponding to each pixel in the acquired image, and the grayscale clamping interval is constructed according to the minimum clamped grayscale value and the maximum clamped grayscale value, and the first target image whose initial grayscale value is outside the grayscale clamping interval is subjected to the grayscale clamping interval. The grayscale value of the pixel is clamped to generate the clamped grayscale value of the first target pixel, and according to the clamped grayscale value of the first target pixel and the initial grayscale value of the second target pixel whose initial grayscale value is within the grayscale clamping interval, the grayscale value distribution of the image is extended to the preset grayscale range through linear mapping to determine the extended grayscale value of each pixel in the image, and the ratio between the initial grayscale value of each pixel and the extended grayscale value corresponding to each pixel is calculated, and the value after weighted summation of the product of the ratio corresponding to each pixel and the preset initial LED backlight brightness is used as the target LED backlight brightness currently displayed by the image, and the display brightness of the LED backlight source of the vehicle display is adjusted according to the target LED backlight brightness. The weight of each pixel in the weighted summation process is related to the display position of the pixel on the vehicle display. Thus, the grayscale value of the displayed image is improved by image processing, the LED backlight brightness of the vehicle display is reduced, and the backlight brightness of the LED backlight source is reduced without affecting the transmittance of the displayed image during the LED backlight adjustment process, so as to achieve the technical effect of high efficiency and energy saving of the vehicle display.

[0057] Figure 2 1 is a block diagram of an energy-efficient vehicle-mounted LED backlight source control device according to an embodiment of the present disclosure. Figure 2 As shown, the device 100 is applied to a vehicle and includes: The acquisition module 110 is used to collect the light intensity of the environment in which the vehicle is currently located based on the light sensors arranged at multiple positions of the vehicle when the current driving speed of the vehicle exceeds a preset vehicle speed threshold, and determine the target environment light intensity according to the light intensity collected by the light sensors at each position; A first determination module 120 is used to determine the distortion ratio of the image currently displayed on the vehicle-mounted display screen configured on the vehicle according to the product between the driving speed and the target ambient light intensity, wherein the comparison table is determined according to a linear positive proportional relationship between the product and the distortion ratio; A construction module 130 is used to determine a minimum clamped grayscale value and a maximum clamped grayscale value during grayscale stretching according to the distortion ratio and the acquired initial grayscale value corresponding to each pixel in the image, and to construct a grayscale clamping interval according to the minimum clamped grayscale value and the maximum clamped grayscale value; A second determination module 140 is used to perform a grayscale value clamping transformation on a first target pixel point whose initial grayscale value is outside the grayscale clamping interval, generate a clamped grayscale value of the first target pixel point, and expand the grayscale value distribution of the image to a preset grayscale range through linear mapping according to the clamped grayscale value of the first target pixel point and the initial grayscale value of the second target pixel point whose initial grayscale value is within the grayscale clamping interval, so as to determine an extended grayscale value of each pixel point in the image; The execution module 150 is used to calculate the ratio between the initial grayscale value of each pixel point and the extended grayscale value corresponding to each pixel point, and take the value obtained by weighted summing the product of the ratio corresponding to each pixel point and the preset initial LED backlight brightness as the target LED backlight brightness currently displayed by the image, and adjust the display brightness of the LED backlight source of the vehicle display screen according to the target LED backlight brightness. The weight of each pixel point in the weighted summing process is related to the display position of the pixel point on the vehicle display screen.

[0058] Optionally, the second determining module 140 is configured to: Determine a maximum grayscale value and a minimum grayscale value among the pixels according to the clamped grayscale value of the first target pixel and the initial grayscale value of the second target pixel; Determine the difference between the maximum grayscale value and the minimum grayscale value as a grayscale value distribution expansion adjustment value; respectively calculating a first difference between the clamped grayscale value of the first target pixel and the minimum grayscale value, and a second difference between the initial grayscale value of the second target pixel and the minimum grayscale value; The grayscale value of each pixel in the currently displayed image is converted according to the first difference, the second difference and the preset grayscale range to generate the extended grayscale value.

[0059] Optionally, the extended grayscale value of each pixel is determined by the following formula: ; wherein said is the clamped grayscale value of the first target pixel, or is the initial grayscale value of the second target pixel, is the maximum grayscale value, is the minimum grayscale value, is the extended grayscale value, the is the maximum grayscale value of the preset grayscale range, is the minimum grayscale value of the preset grayscale range.

[0060] Optionally, the first determining module 120 is configured to: Obtaining the historical driving speed of the vehicle, and determining the maximum driving speed of the vehicle according to the historical driving speed; and obtaining the historical light intensity collected by the light sensor, and determining the maximum light intensity of the environment in which the vehicle is located according to the historical light intensity; Acquire a speed weighted index and a light weighted index, wherein the speed weighted index is used to indicate the degree of influence of the vehicle's travel speed on the distortion ratio, and the light weighted index is used to indicate the degree of influence of the light intensity on the distortion ratio; The distortion ratio is determined by the following formula: ; wherein, D is the distortion ratio, is the driving speed, is the maximum driving speed, is the light intensity; is the maximum light intensity, is the speed weighted index, A weighted index for the light.

[0061] Optionally, the speed weighted index is determined by: Photographing a first shooting scene at a first driving speed to generate a first detection image, and photographing the first shooting scene in a stationary state to generate a second detection image; Executing a first recursive parameter updating process, the first recursive parameter updating step comprising: inputting an initial recursive parameter into a recursive weighter, weighting the pixel values ​​in the first detection image according to the first speed weighting index, and generating a third detection image; when the average pixel difference between the pixel value of each pixel point in the third detection image and the pixel value of each pixel point in the second detection image is greater than a set pixel difference, updating the recursive weighter based on the initial recursive parameter to obtain an updated recursive parameter; Execute a second recursive parameter updating process, wherein the second recursive parameter updating step comprises: inputting the updated recursive parameter into the recursive weighter, determining a second speed weighting index according to the updated recursive parameter and the first speed weighting index, weighting the pixel values ​​in the first detection image according to the second speed weighting index to generate a fourth detection image; when the average pixel difference between the pixel value of each pixel point in the fourth detection image and the pixel value of each pixel point in the second detection image is greater than the set pixel difference and less than the average pixel difference in the previous recursive updating process, updating the recursive performance parameter of the recursive weighter based on the updated recursive parameter to obtain an updated recursive parameter; Repeat the second recursive parameter updating process until the average pixel amplitude difference in the second recursive parameter updating process is less than or equal to the set pixel difference, and then update the first speed weighted index according to the second recursive parameter to generate the speed weighted index.

[0062] Optionally, the construction module 130 is used to: Acquire a first initial grayscale value of the first target pixel; The first initial grayscale value is compared with the maximum clamped grayscale value and the minimum clamped grayscale value, the grayscale of the pixel point greater than the maximum clamped grayscale value is set to the maximum clamped grayscale value, and the grayscale of the pixel point less than the minimum clamped grayscale value is set to the minimum clamped grayscale value, so as to generate the clamped grayscale value of the first target pixel point.

[0063] Optionally, the acquisition module 110 is configured to: Obtaining the influence weight of the light sensor at each of the directions on the vehicle-mounted display screen; The light intensity is weightedly summed according to the influence weight to generate the target environment light intensity.

[0064] The embodiments of the present disclosure also provide a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of any one of the methods for controlling a high-efficiency and energy-saving vehicle-mounted LED backlight source in the aforementioned embodiments.

[0065] The embodiment of the present disclosure also provides a high-efficiency and energy-saving vehicle-mounted LED backlight source, including: processor; a memory for storing processor-executable instructions; The processor is configured to execute executable instructions in the memory to implement the method for controlling the high-efficiency and energy-saving vehicle-mounted LED backlight source as described in any one of the aforementioned embodiments.

[0066] Those skilled in the art will readily appreciate other embodiments of the present disclosure after considering the specification and practicing the present disclosure. The present disclosure is intended to cover any variations, uses or adaptations of the present disclosure that follow the general principles of the present disclosure and include common knowledge or customary techniques in the art that are not disclosed in the present disclosure. The description and examples are to be considered as exemplary only, and the true scope and spirit of the present disclosure are indicated by the following claims.

[0067] It should be understood that the present disclosure is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. A high-efficiency and energy-saving vehicle-mounted LED backlight control method, characterized in that: Applied to vehicles, including: When the current driving speed of the vehicle exceeds a preset vehicle speed threshold, light intensities of the current environment of the vehicle are collected based on light sensors arranged at multiple positions of the vehicle, and target environment light intensity is determined according to the light intensities collected by the light sensors at each position; Determining a distortion ratio of an image currently displayed on a vehicle-mounted display screen configured on the vehicle according to a product between the driving speed and the target ambient light intensity, wherein the product is in a linearly proportional relationship to the distortion ratio; Determine a minimum clamped grayscale value and a maximum clamped grayscale value during grayscale stretching according to the distortion ratio and the acquired initial grayscale value corresponding to each pixel in the image, and construct a grayscale clamping interval according to the minimum clamped grayscale value and the maximum clamped grayscale value; Performing a grayscale value clamping transformation on a first target pixel whose initial grayscale value is outside the grayscale clamping interval to generate a clamped grayscale value of the first target pixel, and extending the grayscale value distribution of the image to a preset grayscale range through linear mapping according to the clamped grayscale value of the first target pixel and the initial grayscale value of a second target pixel whose initial grayscale value is within the grayscale clamping interval to determine an extended grayscale value of each pixel in the image; Calculate the ratio between the initial grayscale value of each pixel and the extended grayscale value corresponding to each pixel, and take the value obtained by weighted summing the product of the ratio corresponding to each pixel and the preset initial LED backlight brightness as the target LED backlight brightness currently displayed by the image, and adjust the display brightness of the LED backlight source of the vehicle display screen according to the target LED backlight brightness. The weight of each pixel in the weighted summation process is related to the display position of the pixel on the vehicle display screen.

2. The high-efficiency and energy-saving vehicle-mounted LED backlight control method according to claim 1, characterized in that: The method further comprises: extending the grayscale value distribution of the image to a preset grayscale range by linear mapping according to the clamped grayscale value of the first target pixel and the initial grayscale value of the second target pixel whose initial grayscale value is within the grayscale clamping interval, so as to determine the extended grayscale value of each pixel in the image, including: Determine a maximum grayscale value and a minimum grayscale value among the pixels according to the clamped grayscale value of the first target pixel and the initial grayscale value of the second target pixel; Determine the difference between the maximum grayscale value and the minimum grayscale value as a grayscale value distribution expansion adjustment value; respectively calculating a first difference between the clamped grayscale value of the first target pixel and the minimum grayscale value, and a second difference between the initial grayscale value of the second target pixel and the minimum grayscale value; According to the first difference, the second difference and the preset grayscale range, the grayscale value of each pixel in the image is converted to generate the extended grayscale value.

3. The high-efficiency and energy-saving vehicle-mounted LED backlight control method according to claim 2, characterized in that: The extended grayscale value of each pixel is determined by the following formula: ; wherein, z is the clamped grayscale value of the first target pixel, or, z is the initial grayscale value of the second target pixel, is the maximum grayscale value, is the minimum grayscale value, is the extended grayscale value, is the maximum grayscale value of the preset grayscale range, is the minimum grayscale value of the preset grayscale range.

4. The high-efficiency and energy-saving vehicle-mounted LED backlight control method according to claim 1, characterized in that: The step of determining the distortion ratio of the image currently displayed on the vehicle-mounted display screen configured on the vehicle according to the product of the driving speed and the target ambient light intensity includes: Obtaining the historical driving speed of the vehicle, and determining the maximum driving speed of the vehicle according to the historical driving speed; and obtaining the historical light intensity collected by the light sensor, and determining the maximum light intensity of the environment in which the vehicle is located according to the historical light intensity; Acquire a speed weighted index and a light weighted index, wherein the speed weighted index is used to indicate the degree of influence of the vehicle's travel speed on the distortion ratio, and the light weighted index is used to indicate the degree of influence of the light intensity on the distortion ratio; The distortion ratio is determined by the following formula: ; wherein, D is the distortion ratio, is the driving speed, is the maximum driving speed, is the light intensity; is the maximum light intensity, is the speed weighted index, A weighted index for the light.

5. The high-efficiency and energy-saving vehicle-mounted LED backlight control method according to claim 4, characterized in that: The speed weighting index is determined by: Photographing a first shooting scene at a first driving speed to generate a first detection image, and photographing the first shooting scene in a stationary state to generate a second detection image; Executing a first recursive parameter updating process, the first recursive parameter updating step comprising: inputting an initial recursive parameter into a recursive weighter, weighting the pixel values ​​in the first detection image according to a first speed weighting index, and generating a third detection image; when the average pixel difference between the pixel value of each pixel point in the third detection image and the pixel value of each pixel point in the second detection image is greater than a set pixel difference, updating the recursive weighter based on the initial recursive parameter to obtain an updated recursive parameter; Execute a second recursive parameter updating process, wherein the second recursive parameter updating step comprises: inputting the updated recursive parameter into the recursive weighter, determining a second speed weighting index according to the updated recursive parameter and the first speed weighting index, weighting the pixel values ​​in the first detection image according to the second speed weighting index to generate a fourth detection image; when the average pixel difference between the pixel value of each pixel point in the fourth detection image and the pixel value of each pixel point in the second detection image is greater than the set pixel difference and less than the average pixel difference in the previous recursive updating process, updating the recursive performance parameter of the recursive weighter based on the updated recursive parameter to obtain an updated recursive parameter; Repeat the second recursive parameter updating process until the average pixel amplitude difference in the second recursive parameter updating process is less than or equal to the set pixel difference, and then update the first speed weighted index according to the second recursive parameter to generate the speed weighted index.

6. The high-efficiency and energy-saving vehicle-mounted LED backlight control method according to claim 1, characterized in that: The step of performing a grayscale value clamping transformation on the first target pixel whose initial grayscale value is outside the grayscale clamping interval to generate a clamped grayscale value of the first target pixel includes: Acquire a first initial grayscale value of the first target pixel; The first initial grayscale value is compared with the maximum clamped grayscale value and the minimum clamped grayscale value, the grayscale of the pixel point greater than the maximum clamped grayscale value is set to the maximum clamped grayscale value, and the grayscale of the pixel point less than the minimum clamped grayscale value is set to the minimum clamped grayscale value, so as to generate the clamped grayscale value of the first target pixel point.

7. The high-efficiency and energy-saving vehicle-mounted LED backlight control method according to any one of claims 1 to 6, characterized in that: Determining the target environment light intensity according to the light intensity collected by the light sensor at each of the directions includes: Obtaining the influence weight of the light sensor at each of the directions on the vehicle-mounted display screen; The light intensity is weightedly summed according to the influence weight to generate the target environment light intensity.

8. An efficient and energy-saving vehicle-mounted LED backlight control device, characterized in that: Applied to vehicles, including: an acquisition module, configured to collect the light intensity of the environment in which the vehicle is currently located based on light sensors arranged at multiple positions of the vehicle when the current driving speed of the vehicle exceeds a preset vehicle speed threshold, and determine the target environment light intensity according to the light intensity collected by the light sensors at each position; A first determination module is used to determine the distortion ratio of the image currently displayed on the vehicle-mounted display screen configured on the vehicle according to the product between the driving speed and the target ambient light intensity, wherein the comparison table is determined according to a linear positive proportional relationship between the product and the distortion ratio; A construction module, used to determine the minimum clamped grayscale value and the maximum clamped grayscale value during grayscale stretching according to the distortion ratio and the acquired initial grayscale value corresponding to each pixel in the image, and to construct a grayscale clamping interval according to the minimum clamped grayscale value and the maximum clamped grayscale value; A second determination module is used to perform a grayscale value clamping transformation on a first target pixel point whose initial grayscale value is outside the grayscale clamping interval, generate a clamped grayscale value of the first target pixel point, and expand the grayscale value distribution of the image to a preset grayscale range through linear mapping according to the clamped grayscale value of the first target pixel point and the initial grayscale value of the second target pixel point whose initial grayscale value is within the grayscale clamping interval, so as to determine an extended grayscale value of each pixel point in the image; An execution module is used to calculate the ratio between the initial grayscale value of each pixel point and the extended grayscale value corresponding to each pixel point, and take the value obtained by weighted summing the product of the ratio corresponding to each pixel point and the preset initial LED backlight brightness as the target LED backlight brightness currently displayed by the image, and adjust the display brightness of the LED backlight source of the vehicle display screen according to the target LED backlight brightness. The weight of each pixel point in the weighted summing process is related to the display position of the pixel point on the vehicle display screen.

9. An efficient and energy-saving vehicle-mounted LED backlight source, characterized in that: include: processor; a memory for storing processor-executable instructions; The processor is configured to execute executable instructions in the memory to implement the high-efficiency and energy-saving vehicle-mounted LED backlight source control method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the high-efficiency and energy-saving vehicle-mounted LED backlight source control method described in any one of claims 1 to 7 are implemented.

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