Vehicle-mounted LED backlight and control method

Abstract

The present disclosure relates to a kind of vehicle-mounted LED backlight and control method, which comprises: determining target ambient light intensity according to light intensity, determining the distortion ratio of display image according to the product between driving speed and target ambient light intensity, determining minimum clamping gray value and maximum clamping gray value according to distortion ratio and the initial gray value corresponding to each pixel point, generate the clamping gray value of first target pixel point, the gray value distribution of image is extended to preset gray range by linear mapping, determine the extension gray value of each pixel point in image, calculate the ratio between the initial gray value of each pixel point and the extension gray value corresponding to each pixel point, the product of the initial LED backlight brightness of each pixel point corresponding ratio and the value after weighted summation is used as target LED backlight brightness. To reduce the backlight brightness of LED backlight, achieve the technical effect of high efficiency and energy saving of vehicle-mounted display screen.

Description

Technical Field

[0001] This disclosure relates to the technical field of LED backlight energy-saving displays, and in particular to an automotive LED backlight and control method. Background Technology

[0002] With the continuous advancement of technology and the rapid development of the automotive industry, the application of in-vehicle displays is becoming increasingly widespread. As an important part of in-vehicle information exchange and entertainment, the image quality and brightness of in-vehicle displays have become key indicators for users. LED backlighting, as one of the most advanced lighting technologies currently available, is widely used in in-vehicle displays, and its superior performance enables car displays to provide clear and bright images under various environmental conditions.

[0003] The use of LED backlighting brings numerous advantages to in-vehicle displays. Firstly, compared to traditional backlighting, LED backlighting offers higher brightness and better contrast. This means that in strong light or high-light environments, LED backlighting better prevents reflections and glare, providing a clearer display. Secondly, LED backlighting has a wider color gamut and better color reproduction capabilities, presenting more realistic and vibrant colors. This allows drivers and passengers to obtain road and vehicle information more accurately, resulting in a higher quality entertainment experience. Summary of the Invention

[0004] To overcome the technical problem of high energy consumption in automotive LED backlights in related technologies, this disclosure provides an automotive LED backlight and its control method.

[0005] According to a first aspect of the present disclosure, a vehicle-mounted LED backlight control method is provided, applied to a vehicle, comprising:

[0006] When the current driving speed of the vehicle exceeds a preset speed threshold, the light intensity of the current environment of the vehicle is collected by light sensors arranged in multiple directions of the vehicle, and the target environment light intensity is determined according to the light intensity collected by the light sensors in each of the directions.

[0007] The distortion ratio of the image currently displayed on the vehicle's in-vehicle display screen is determined based on the product between the driving speed and the target ambient light intensity, wherein the lookup table is determined based on a linear proportional relationship between the product and the distortion ratio.

[0008] Based on the distortion ratio and the initial grayscale value corresponding to each pixel in the obtained image, determine the minimum clamping grayscale value and the maximum clamping grayscale value during grayscale stretching, and construct a grayscale clamping interval based on the minimum clamping grayscale value and the maximum clamping grayscale value.

[0009] A grayscale clamping transformation is performed on the first target pixel whose initial grayscale value is outside the grayscale clamping interval to generate a clamped grayscale value for the first target pixel. Based on 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 a preset grayscale range through linear mapping to determine the extended grayscale value of each pixel in the image.

[0010] The ratio between the initial grayscale value of each pixel and the extended grayscale value corresponding to each pixel is calculated. The product of the ratio corresponding to each pixel and the preset initial LED backlight brightness is weighted and summed to obtain the target LED backlight brightness of the image currently being displayed. The display brightness of the LED backlight of the vehicle display screen 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 screen.

[0011] Optionally, the step of expanding the grayscale distribution of the image to a preset grayscale range through linear mapping based on 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, to determine the expanded grayscale value of each pixel in the image, includes:

[0012] Based on the clamped gray value of the first target pixel and the initial gray value of the second target pixel, determine the maximum gray value and the minimum gray value of the pixel;

[0013] The difference between the maximum gray value and the minimum gray value is determined as the gray value distribution expansion adjustment value;

[0014] Calculate the first difference between the clamped gray value and the minimum gray value of the first target pixel, and the second difference between the initial gray value and the minimum gray value of the second target pixel;

[0015] Based on 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.

[0016] Optionally, the extended grayscale value of each pixel is determined by the following formula:

[0017]

[0018] Wherein, z is the clamped gray value of the first target pixel, or z is the initial gray value of the second target pixel, max is the maximum gray value, min is the minimum gray value, Z' is the extended gray value, MAX is the maximum gray value of the preset gray range, and MIN is the minimum gray value of the preset gray range.

[0019] Optionally, determining the distortion ratio of the image currently displayed on the vehicle's onboard display screen based on the product of the driving speed and the target ambient light intensity includes:

[0020] The system acquires the vehicle's historical driving speed and determines the vehicle's maximum driving speed based on the historical driving speed; it also acquires the historical light intensity collected by the light sensor and determines the maximum light intensity of the environment in which the vehicle is located based on the historical light intensity.

[0021] Obtain 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 driving 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;

[0022] The distortion ratio is determined using the following formula:

[0023]

[0024] Wherein, D is the distortion ratio, v is the driving speed, and v max The maximum driving speed is I, and the light intensity is I; max The maximum light intensity is given by p, the velocity-weighted index is given by q, and the light-weighted index is given by q.

[0025] Optionally, the speed-weighted index is determined in the following way:

[0026] A first detection image is generated by capturing a first shooting scene at a first driving speed, and a second detection image is generated by capturing the first shooting scene in a stationary state.

[0027] The first recursive parameter update process includes: inputting initial recursive parameters into the recursive weighter; weighting the pixel values ​​in the first detection image according to the first velocity weighting index to generate a third detection image; and updating the recursive weighter based on the initial recursive parameters when the average pixel difference between the pixel values ​​of each pixel in the third detection image and the pixel values ​​of each pixel in the second detection image is greater than a set pixel difference, thereby obtaining the updated recursive parameters.

[0028] The second recursive parameter update process includes: inputting the updated recursive parameters into the recursive weighter; determining a second speed weighting index based on the updated recursive parameters and the first speed weighting index; weighting the pixel values ​​in the first detection image based on the second speed weighting index to generate a fourth detection image; if the average pixel difference between the pixel values ​​of each pixel in the fourth detection image and the pixel values ​​of each pixel 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, updating the recursive performance parameters of the recursive weighter based on the updated recursive parameters to obtain the updated recursive parameters.

[0029] Repeat the second recursive parameter update process until the average pixel amplitude difference in the current second recursive parameter update process is less than or equal to the set pixel difference. Then, update the first speed weighted index according to the current second recursive parameter and generate the speed weighted index.

[0030] Optionally, performing a grayscale clamping transformation on the first target pixel whose initial grayscale value is outside the grayscale clamping range to generate a clamped grayscale value for the first target pixel includes:

[0031] And obtain the first initial grayscale value of the first target pixel;

[0032] The first initial grayscale value is compared with the maximum clamping grayscale value and the minimum clamping grayscale value. The grayscale value of the first pixel that is greater than the maximum clamping grayscale value is set as the maximum clamping grayscale value, and the grayscale value of the pixel that is less than the minimum clamping grayscale value is set as the minimum clamping grayscale value, so as to generate the first clamping grayscale value of the first target pixel.

[0033] Optionally, determining the target ambient light intensity based on the light intensity collected by the light sensors at each of the aforementioned locations includes:

[0034] Obtain the influence weights of the illumination sensors at each of the aforementioned locations on the vehicle-mounted display screen;

[0035] The light intensity is generated by weighting and summing the light intensity according to the influence weights.

[0036] According to a second aspect of the present disclosure, an in-vehicle LED backlight control device is provided, applied to a vehicle, comprising:

[0037] The acquisition module is used to collect the light intensity of the current environment of the vehicle based on light sensors arranged in multiple directions of the vehicle when the current driving speed of the vehicle exceeds a preset vehicle speed threshold, and to determine the light intensity of the target environment based on the light intensity collected by the light sensors in each of the directions.

[0038] The first determining module is used to determine the distortion ratio of the image currently displayed on the vehicle's in-vehicle display screen based on the product between the driving speed and the target ambient light intensity, wherein the lookup table is determined based on a linear proportional relationship between the product and the distortion ratio.

[0039] The construction module is used to determine the minimum clamping gray value and the maximum clamping gray value during gray-scale stretching based on the distortion ratio and the initial gray value corresponding to each pixel in the obtained image, and to construct a gray-scale clamping interval based on the minimum clamping gray value and the maximum clamping gray value.

[0040] The second determining module is used to perform grayscale value clamping transformation on the first target pixel whose initial grayscale value is outside the grayscale clamping interval to generate the clamped grayscale value of the first target pixel, and based on 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, to extend the grayscale value distribution of the image to a preset grayscale range through linear mapping, so as to determine the extended grayscale value of each pixel in the image;

[0041] The execution module is used to calculate the ratio between the initial grayscale value of each pixel and the extended grayscale value corresponding to each pixel, and to 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 of the image currently displayed, and to adjust the display brightness of the LED backlight 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.

[0042] According to a third aspect of the embodiments of this disclosure, an automotive LED backlight is provided, comprising:

[0043] processor;

[0044] Memory used to store processor-executable instructions;

[0045] The processor is configured to execute executable instructions in the memory to implement the vehicle LED backlight control method described in any one of the first aspects of this disclosure.

[0046] According to a fourth aspect of the present disclosure, a computer-readable storage medium is provided that stores a computer program thereon, which, when executed by a processor, implements the steps of the vehicle-mounted LED backlight control method described in any of the first aspects of the present disclosure.

[0047] The technical solutions provided by the embodiments of this disclosure may include the following beneficial effects:

[0048] When the vehicle's current speed exceeds a preset speed threshold, the system collects the ambient light intensity of the vehicle's current environment based on light sensors positioned at multiple locations on the vehicle. It then determines the target ambient light intensity based on the light intensity collected by the sensors at each location. The distortion ratio of the image currently displayed on the vehicle's onboard display is determined by multiplying the vehicle's speed by the target ambient light intensity. A lookup table is used based on a linear proportional relationship between the product and the distortion ratio. Based on the distortion ratio and the initial grayscale value of each pixel in the acquired image, the minimum and maximum clamping grayscale values ​​are determined for grayscale stretching. A grayscale clamping interval is constructed based on these values. The first target pixel whose initial grayscale value falls outside the grayscale clamping interval is then subjected to... A grayscale clamping transformation is performed to generate a clamped grayscale value for the first target pixel. Based on 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 range, the grayscale distribution of the image is extended to a preset grayscale range through linear mapping to determine the extended grayscale value of each pixel in the image. The ratio between the initial grayscale value of each pixel and the corresponding extended grayscale value is calculated. The product of the ratio corresponding to each pixel and a preset initial LED backlight brightness is weighted and summed to obtain the target LED backlight brightness for the current display of the image. The display brightness of the LED backlight 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 that pixel on the vehicle display. Thus, image processing is used to improve the grayscale value of the displayed image and reduce the LED backlight brightness of the vehicle display. This ensures that the backlight brightness of the LED backlight is reduced without affecting the light transmittance of the displayed image during the LED backlight adjustment process, thereby achieving the technical effect of high efficiency and energy saving of the vehicle display.

[0049] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit this disclosure. Attached Figure Description

[0050] The accompanying drawings, which are incorporated in and form a part of this specification, illustrate embodiments consistent with this disclosure and, together with the description, serve to explain the principles of this disclosure.

[0051] Figure 1This is a flowchart illustrating a vehicle-mounted LED backlight control method according to an embodiment of the present disclosure.

[0052] Figure 2 This is a block diagram illustrating an in-vehicle LED backlight control device according to an embodiment of the present disclosure. Detailed Implementation

[0053] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numerals in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this disclosure. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this disclosure as detailed in the appended claims.

[0054] It should be noted that all actions involving the acquisition of signals, information, or data in this disclosure are carried out in compliance with the relevant data protection laws and policies of the country where the location is situated, and with authorization from the owner of the relevant device.

[0055] Figure 1 This is a flowchart illustrating a method for controlling an in-vehicle LED backlight according to an embodiment of this disclosure. Figure 1 As shown, applied to vehicles, the method includes:

[0056] Step S11: When the current driving speed of the vehicle exceeds the preset vehicle 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 light intensity of the target environment is determined based on the light intensity collected by the light sensors in each direction.

[0057] For example, in this embodiment, the vehicle's current speed is monitored in real time. The vehicle's current speed determines whether it is in a normal driving state. Once this is confirmed, the brightness of the vehicle's LED backlight is adjusted. A preset speed threshold of 30 km / h can be set. When the speed exceeds 30 km / h, it is determined that the driver has no entertainment needs based on the in-vehicle display screen. That is, the in-vehicle display screen is not used as an entertainment tool but rather as a driving aid. For example, the driver might use the in-vehicle display screen for navigation or audio purposes. In this case, to improve the driver's focus on driving, the display requirements of the in-vehicle display screen are not high. Therefore, the brightness of the LED backlight can be reduced by sacrificing some image grayscale values, thereby achieving energy savings.

[0058] It should be noted that the energy-saving adjustment methods for automotive LED backlights in related technologies all involve directly reducing the LED backlight brightness. This method reduces the brightness of the currently displayed image on the vehicle screen, which may result in unclear display in many scenarios, making it difficult for drivers to accurately identify image information, and could even lead to serious safety accidents. Therefore, this application proposes a method to reduce the screen brightness of the vehicle display while ensuring the display effect of the current image as much as possible, thereby achieving the technical effect of ensuring display effect and energy saving of the LED backlight. The image effect that the driver can observe is related to the image transmittance. For example, L = b × t. Where L is the image transmittance, b is the backlight of the vehicle display, and t represents the grayscale value information of the displayed image. To ensure that the driver's observation effect remains unchanged, the value of L needs to remain constant. However, during the energy-saving control of the automotive LED backlight, the current driving environment may change. If the backlight is not adjusted, the driver may experience glare in strong light environments or dim light in low light environments. This can lead to blurred visibility of the vehicle-mounted display device for drivers in both bright and dim lighting environments. Therefore, related technologies adjust the LED backlight of the vehicle-mounted display device according to the ambient light intensity. However, during the adjustment process, because the display effect of the vehicle-mounted display device is not considered, the adjustment effect may still be poor, resulting in a poor display effect and affecting the driver's observation. Therefore, this embodiment proposes a technique to reduce the brightness of the LED backlight by increasing the grayscale value of the current displayed image, while ensuring the transmittance of the current image on the vehicle-mounted display screen, thereby achieving energy-saving control. That is, while keeping the L value constant in the above formula, the b value of the vehicle-mounted LED backlight is reduced by increasing the t value of the current displayed image.

[0059] For example, in this embodiment, the adjustment method of the LED backlight is related to the ambient light intensity of the current environment. Ambient light intensity is affected by the sampling location, sampling time, and sampling orientation, presenting a variety of drastically different data. Therefore, to improve the accuracy of ambient light intensity sampling, multiple light sensors are set at multiple locations on the vehicle, and the ambient light intensity of the current environment is collected based on these multiple light sensors within a set time range, resulting in the ambient light intensity of the current vehicle's environment at multiple different locations. Then, the multiple corresponding light intensities collected by the light sensors at multiple locations are processed to generate the target ambient light intensity of the environment in which the vehicle is currently driving.

[0060] It should be noted that this embodiment does not limit the processing method for the light intensity collected by the light sensors in each direction. For example, the target ambient light intensity may be obtained by averaging the light intensity collected by the light sensors in multiple directions. Alternatively, the effectiveness of the light intensity values ​​collected by the light sensors in multiple directions can be analyzed to select the most effective light intensity as the target ambient light intensity.

[0061] Optionally, in some embodiments, step S11 above includes:

[0062] Obtain the influence weights of illumination sensors in each direction on the vehicle display screen;

[0063] The light intensity is generated by weighted summation based on the influence weights.

[0064] For example, in this embodiment, the influence of light sensors positioned at different locations on the display screen varies. The placement of these light sensors on the vehicle determines the degree of influence of ambient light on the display screen from different locations. For instance, typically, the ambient light around the driver's seat has a greater impact on the display device, while the ambient light around the rear seats has a smaller impact. Images can be captured from the display device under different strong light environments and ambient light conditions from different locations. These images are then compared with images displayed in the actual environment to determine the degree of influence of ambient light on the display device from each location. Based on this degree of influence, the influence weights corresponding to the light sensors at each location are generated.

[0065] The influence weight is multiplied by the ambient light intensity collected by the light sensors at multiple locations to obtain the light value corresponding to each light sensor. Then, the light values ​​of the light sensors at each location are added together to obtain the target ambient light intensity of the vehicle's current environment.

[0066] Step S12: Determine the distortion ratio of the image currently displayed on the vehicle's in-vehicle display screen based on the product between the driving speed and the target ambient light intensity, wherein the product is linearly proportional to the distortion ratio.

[0067] For example, in this embodiment, it is necessary to adjust the grayscale value of the image displayed on the vehicle screen. This grayscale value may cause a certain degree of distortion in the currently displayed image. It should be noted that this distortion is within a controllable range based on human eye adjustment, and it will not affect the vehicle driver's observation of the distorted image displayed on the vehicle screen. The adjustment of the grayscale value is linearly related to the image distortion ratio; for example, the higher the grayscale value adjustment ratio, the higher the distortion ratio of the current image. In this embodiment, the influence of vehicle speed and target ambient light intensity on the image distortion ratio is detected. Under different distortion ratios, the product between different driving speeds and target ambient light intensities is adjusted, and images are acquired under different driving speeds and target ambient light intensities to obtain multiple different captured images. The captured images are compared with the initial image to determine the corresponding image distortion ratio under different driving speeds and target light intensities.

[0068] In this embodiment, a linear relationship between the product of driving speed and target ambient light intensity and the distortion ratio of the image currently displayed on the vehicle's in-vehicle display screen can be determined through limited experiments. For example, multiple sets of experimental data on the distortion ratio and its product can be collected using the controlled variable method, and the linear relationship between this product and the distortion ratio can be determined based on the experimental data. Based on limited experiments, it has been determined that the product and the distortion ratio have a linearly positive proportional relationship. Therefore, the distortion ratio of the currently displayed image can be determined based on the product of driving speed and target ambient light intensity, and this linearly positive proportional relationship. In this embodiment, the grayscale value of the image currently displayed on the in-vehicle display screen can be adjusted using the distortion ratio to ensure that the display effect of the current display screen is consistent with the visual display effect under the driver's current vehicle speed and current light intensity, thereby maintaining the display fidelity of the in-vehicle display screen while ensuring consistent observation effects for the driver.

[0069] Optionally, in some embodiments, step S12 above includes:

[0070] The system acquires the vehicle's historical driving speed and determines the vehicle's maximum driving speed based on the historical driving speed; it also acquires the historical light intensity collected by the light sensor and determines the maximum light intensity of the environment in which the vehicle is located based on the historical light intensity.

[0071] Obtain the speed-weighted index and the light-weighted index. The speed-weighted index is used to indicate the degree of influence of vehicle speed on the distortion ratio, and the light-weighted index is used to indicate the degree of influence of light intensity on the distortion ratio.

[0072] The distortion ratio is determined using the following formula:

[0073]

[0074] Where D is the distortion ratio, v is the driving speed, and v max I represents the maximum driving speed, and I represents the light intensity. max ρ represents the maximum light intensity, p is the velocity-weighted exponent, and q is the ray-weighted exponent.

[0075] For example, in this embodiment, the vehicle's current historical driving speed and the historical environmental intensity of its current environment are consulted. This determines the vehicle's maximum driving speed within a preset time range and the historical maximum light intensity of its environment. Based on the vehicle's maximum speed and the maximum light intensity of its environment, the vehicle is adjusted for adaptability. Then, the vehicle's corresponding speed-weighted index and fiber-weighted index are obtained. The speed-weighted index indicates the degree of influence of vehicle speed on the distortion ratio. In this embodiment, the speed-weighted index can be measured by controlling variables. By keeping the ambient light intensity constant, the image distortion ratio of images at different driving speeds is determined, thus determining the speed-weighted index. The fiber-weighted index indicates the influence of light intensity on the distortion ratio. By controlling variables, the influence of different ambient light intensities on the image distortion ratio at the same driving speed is measured, determining the influence of illumination on the image distortion ratio, thus determining the fiber-weighted index. In this embodiment, image information captured under different conditions can be compared pixel-wise with image information in the initial state to determine the image distortion ratio under different states.

[0076] The distortion ratio of an image is determined using the following formula:

[0077]

[0078] Where D is the distortion ratio, v is the driving speed, and v max I represents the maximum driving speed, and I represents the light intensity. max ρ represents the maximum light intensity, p is the velocity-weighted exponent, and q is the ray-weighted exponent.

[0079] For example, in this embodiment, the influence of driving speed and ambient light intensity on the image distortion ratio can be determined based on the above method. The current vehicle speed and ambient light intensity of the current vehicle environment can be calculated and determined. If the image displayed on the vehicle screen is distorted, the visual consistency of the vehicle driver can be guaranteed, and the observation effect of the vehicle driver can be guaranteed.

[0080] Optionally, in some embodiments, the speed-weighted index is determined in the following manner:

[0081] A first detection image is generated by capturing a first shooting scene at a first driving speed, and a second detection image is generated by capturing the first shooting scene in a stationary state.

[0082] The first recursive parameter update process includes: inputting initial recursive parameters into the recursive weighter; weighting the pixel values ​​in the first detection image according to the first velocity weighting index to generate a third detection image; and updating the recursive weighter based on the initial recursive parameters when the average pixel difference between the pixel values ​​of each pixel in the third detection image and the pixel values ​​of each pixel in the second detection image is greater than a set pixel difference, thereby obtaining the updated recursive parameters.

[0083] The second recursive parameter update process includes: inputting the updated recursive parameters into the recursive weighter; determining the second velocity weighting index based on the updated recursive parameters and the first velocity weighting index; weighting the pixel values ​​in the first detection image based on the second velocity weighting index to generate the fourth detection image; if the average pixel difference between the pixel values ​​of each pixel in the fourth detection image and the pixel values ​​of each pixel 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 parameters of the recursive weighter based on the updated recursive parameters to obtain the updated recursive parameters.

[0084] Repeat the second recursive parameter update process until the average pixel amplitude difference in this second recursive parameter update process is less than or equal to the set pixel difference. Then, update the first speed weighted index according to the second recursive parameter update and generate the speed weighted index.

[0085] For example, in this embodiment, taking the speed-weighted index as an example, the speed-weighted index can be determined recursively, based on a recursive weighter. During the experimental phase, images of the first shooting scene at the first driving speed are acquired to generate a first detection image, and images of the first shooting scene in a stationary state are captured to generate a second detection image. The speed-weighted index is determined by comparing the detection images.

[0086] Corresponding to the first and second detection images mentioned above, this embodiment uses a recursive weighter to determine the velocity weighting index. This recursive weighter includes initial recursive parameters. First, the update process of the first recursive parameters is executed: the initial recursive parameters are input into the recursive weighter, and a recursive transformation is performed based on these initial parameters. The pixel values ​​in the first detection image are weighted according to the first velocity weighting index to generate the third detection image. This first velocity weighting index is a randomly configured velocity weighting index, or it can be a velocity weighting index input by relevant personnel based on the current measurement environment. The pixel values ​​in the first detection image are weighted according to the first velocity weighting index to generate the third detection image. Then, the pixel difference between the third detection image and the pixels at the same location in the second detection image is calculated. If the average pixel difference between the pixel values ​​of each pixel in the third detection image and the pixel values ​​of each pixel in the second detection image is greater than a set pixel difference, it indicates that the current first velocity weighting index is unsatisfactory, and the recursive parameters of the recursive weighter need to be adjusted, and the recursive transformation needs to be performed again. Recursive parameters suitable for the current velocity conditions are then acquired. For example, the recursive weighter is updated based on the initial recursive parameters to obtain the updated recursive parameters.

[0087] After updating the recursive parameters, the second recursive parameter update process is executed. In this embodiment, the second recursive parameter update step includes: inputting the updated recursive parameters into the recursive weighter, and determining the second speed weighting index based on the updated recursive parameters and the first speed weighting index. It should be noted that in this embodiment, the first speed weighting index can be linearly transformed based on the updated recursive parameters to obtain the second speed weighting index. The pixel values ​​in the first detection image are then weighted according to the second speed weighting index to generate a fourth detection image. The fourth detection image is then detected. If the average pixel difference between the pixel values ​​of each pixel in the fourth detection image and the pixel values ​​of each pixel 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, then the recursive performance parameters of the recursive weighter are updated based on the updated recursive parameters to obtain the updated recursive parameters. At this point, it is determined that the recursive performance parameters of the recursive weighter meet the set conditions, and the speed weighting index can be updated according to the updated recursive performance parameters. If the average pixel amplitude difference is less than or equal to the set pixel difference during the second recursive parameter update process, it indicates that the speed weighting index currently detected and determined can meet the preset conditions. The target speed weighting index obtained during this recursive update process is used as the speed weighting index.

[0088] Optionally, in some embodiments, the illumination weighting index associated with ambient light intensity can be determined based on the recursive determination method of the speed weighting index described above. The determination method for the illumination weighting index can also be based on a recursive weighter, which will not be elaborated further here.

[0089] Step S13: Based on the distortion ratio and the initial gray value corresponding to each pixel in the obtained image, determine the minimum clamping gray value and the maximum clamping gray value during gray-scale stretching, and construct the gray-scale clamping interval based on the minimum clamping gray value and the maximum clamping gray value.

[0090] For example, in this embodiment, the current displayed image on the vehicle display screen is distorted according to the distortion ratio. By increasing the grayscale value of some pixels in the displayed image, the displayed image is distorted within a preset range. Based on the distortion ratio and the initial grayscale value corresponding to each pixel in the image, the current displayed image is grayscale stretched, and the minimum and maximum clamping grayscale values ​​during the grayscale stretching process are determined. For example, in this embodiment, the maximum and minimum grayscale values ​​of each pixel in the current displayed image can be determined based on the initial grayscale value of each pixel in the image. These maximum and minimum grayscale values ​​are then divided by the distortion ratio to obtain the minimum and maximum clamping grayscale values ​​during the grayscale stretching process. It should be noted that in related technologies, the grayscale range is [0, 255]. When the maximum or minimum clamping grayscale value exceeds 255 based on the above calculation method, the maximum or minimum clamping grayscale value is set to 255.

[0091] After determining the minimum and maximum clamping gray values ​​using the above method, the interval between the minimum and maximum clamping gray values ​​is taken as the gray-scale clamping interval.

[0092] Step S14: Perform grayscale value clamping transformation on the first target pixel whose initial grayscale value is outside the grayscale clamping interval to generate the clamped grayscale value of the first target pixel. Based on 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, extend 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.

[0093] For example, after determining the grayscale clamping interval through the above steps, the grayscale values ​​of each pixel in the currently displayed image are stretched according to the grayscale clamping interval to proportionally increase the grayscale values ​​of each pixel. In this embodiment, based on the initial grayscale value of the currently displayed image, a grayscale clamping transformation is performed on the first target pixel that is outside the grayscale clamping interval to generate the clamped grayscale value of the first target pixel.

[0094] Optionally, in some embodiments, step S14 above includes:

[0095] Obtain the first initial grayscale value of the first target pixel;

[0096] The first initial grayscale value is compared with the maximum clamping grayscale value and the minimum clamping grayscale value. The grayscale value of the first pixel that is greater than the maximum clamping grayscale value is set as the maximum clamping grayscale value, and the grayscale value of the pixel that is less than the minimum clamping grayscale value is set as the minimum clamping grayscale value, so as to generate the first target pixel's pre-clamping grayscale value.

[0097] 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 and minimum clamping grayscale values ​​in the clamping interval to determine the size relationship between the first initial grayscale value and the maximum and minimum clamping grayscale values. The grayscale values ​​of pixels in the first target pixel that are greater than the maximum clamping grayscale value are set as the maximum clamping grayscale value, and the grayscale values ​​of pixels in the first target pixel that are less than the minimum clamping grayscale value are set as the minimum clamping grayscale value. Then, the grayscale value of the pixel obtained after the above clamping transformation is used as the clamping grayscale value. It should be noted that, similar to the grayscale clamping interval mentioned above, the grayscale value range is [0, 255]. In this embodiment, during the grayscale stretching process, the maximum pixel value of the first target pixel is 255.

[0098] In this embodiment, after grayscale stretching of the first target pixel, the grayscale distribution of the image is expanded to a preset grayscale range through linear mapping based on the grayscale values ​​of the first and second target pixels. The second target pixel is a pixel whose initial grayscale value falls within the aforementioned grayscale clamping interval; that is, the second target pixel is a pixel that does not require grayscale stretching. In this embodiment, after grayscale stretching of the pixel values ​​of the currently displayed image based on the above steps, to ensure the realism of the image, the current image distribution needs to be expanded to a preset grayscale range. This is achieved by performing a distribution expansion transformation on the grayscale stretched image, using linear mapping to expand the grayscale distribution of the current image to the preset grayscale range, generating expanded grayscale values ​​for the pixels.

[0099] Optionally, in some embodiments, step S14 above includes:

[0100] Based on the clamped gray value of the first target pixel and the initial gray value of the second target pixel, determine the maximum and minimum gray values ​​of the pixels.

[0101] The difference between the maximum and minimum gray values ​​is determined as the gray value distribution expansion adjustment value;

[0102] Calculate the first difference between the clamped gray value and the minimum gray value of the first target pixel, and the second difference between the initial gray value and the minimum gray value of the second target pixel.

[0103] Based on 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.

[0104] For example, in this embodiment, the clamped grayscale value of the first target pixel and the initial grayscale value of the second target pixel are used to determine the maximum and minimum grayscale values ​​from the target pixels. The difference between the maximum and minimum grayscale values ​​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. Based on 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 expanded grayscale value.

[0105] Optionally, in some embodiments, the expanded grayscale value of each pixel is determined by the following formula:

[0106]

[0107] Wherein, z is the grayscale value of the pixel, max is the maximum grayscale value, min is the minimum grayscale value, Z' is the extended grayscale value, MAX is the maximum value of the preset grayscale range, and MIN is the minimum value of the preset grayscale range.

[0108] For example, in this embodiment, the preset grayscale range can be set to [0, 255]. Substituting this preset grayscale range into the above formula, the extended grayscale value can be calculated.

[0109] Step S15: Calculate the ratio between the initial grayscale value of each pixel and the extended grayscale value corresponding to each pixel, and use 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 of the image currently displayed. Adjust the display brightness of the LED backlight 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.

[0110] For example, in this embodiment, the initial grayscale value corresponding to the pixel determined by the above calculation is compared with the grayscale values ​​of each pixel obtained after grayscale stretching and distribution expansion transformation. The grayscale values ​​of pixels at the same position are compared to obtain the ratio between the initial grayscale value and the expanded grayscale value. This ratio is the grayscale transformation ratio of each pixel in the currently displayed image. 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 can be calculated and determined according to the grayscale transformation ratio of each pixel. For example, the product of the ratio corresponding to each pixel and the preset initial LED backlight brightness at the corresponding position of the pixel is weighted and summed to obtain the target LED backlight brightness of the image currently displayed. The display brightness of the LED backlight of the vehicle display screen is adjusted according to the target LED backlight brightness, wherein the weight of each pixel in the weighted summation process is related to the display position of the pixel on the vehicle display screen. For example, the center line of the vehicle display screen can be used as a reference to divide the screen horizontally to both sides, and the pixels at the same vertical position have the same weight. Along the border, the weight of vertical pixels that are further away from the center line decreases.

[0111] Using the above method, when the vehicle's current speed exceeds a preset speed threshold, the ambient light intensity of the vehicle's current environment is collected by light sensors placed at multiple locations on the vehicle. Based on the light intensity collected by the light sensors at each location, the target ambient light intensity is determined. The distortion ratio of the image currently displayed on the vehicle's onboard display is determined by the product of the vehicle's speed and the target ambient light intensity. The lookup table is determined based on a linear proportional relationship between the product and the distortion ratio. Based on the distortion ratio and the initial grayscale value corresponding to each pixel in the acquired image, the minimum and maximum clamping grayscale values ​​for grayscale stretching are determined. A grayscale clamping interval is constructed based on the minimum and maximum clamping grayscale values. For the first target image whose initial grayscale value is outside the grayscale clamping interval... The image's grayscale values ​​are clamped using a grayscale value transformation to generate a clamped grayscale value for the first target pixel. Based on the clamped grayscale value of the first target pixel and the initial grayscale value of the second target pixel (whose initial grayscale value falls within the grayscale clamping range), the grayscale distribution of the image is extended to a preset grayscale range via linear mapping to determine the extended grayscale value of each pixel. The ratio between the initial grayscale value and the corresponding extended grayscale value of each pixel is calculated. The product of this ratio and a pre-set initial LED backlight brightness is weighted and summed to obtain the target LED backlight brightness for the current display. The display brightness of the vehicle display's LED backlight is adjusted based on this target LED backlight brightness. The weight of each pixel in the weighted summation process is related to its display position on the vehicle display. This image processing improves the grayscale value of the displayed image while reducing the LED backlight brightness of the vehicle display. This ensures that the LED backlight brightness is reduced without affecting the transmittance of the displayed image during backlight adjustment, achieving a high-efficiency and energy-saving effect for the vehicle display.

[0112] Figure 2 This is a block diagram illustrating an embodiment of an automotive LED backlight control device according to the present disclosure. Figure 2 As shown, the device 100 is applied to a vehicle and includes:

[0113] The acquisition module 110 is used to acquire the light intensity of the current environment of the vehicle based on light sensors arranged in multiple directions of the vehicle when the current driving speed of the vehicle exceeds a preset vehicle speed threshold, and to determine the light intensity of the target environment based on the light intensity acquired by the light sensors in each of the directions.

[0114] The first determining module 120 is used to determine the distortion ratio of the image currently displayed on the vehicle-mounted display screen based on the product between the driving speed and the target ambient light intensity, wherein the lookup table is determined based on the linear proportional relationship between the product and the distortion ratio.

[0115] The construction module 130 is used to determine the minimum clamping gray value and the maximum clamping gray value during gray-scale stretching based on the distortion ratio and the initial gray value corresponding to each pixel in the obtained image, and to construct a gray-scale clamping interval based on the minimum clamping gray value and the maximum clamping gray value.

[0116] The second determining module 140 is used to perform grayscale value clamping transformation on the first target pixel whose initial grayscale value is outside the grayscale clamping interval to generate the clamped grayscale value of the first target pixel, and to expand the grayscale value distribution of the image to a preset grayscale range through linear mapping based on 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 expanded grayscale value of each pixel in the image;

[0117] The execution module 150 is used to calculate the ratio between the initial grayscale value of each pixel and the extended grayscale value corresponding to each pixel, and to 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 of the image currently displayed, and to adjust the display brightness of the LED backlight 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 in the vehicle display screen.

[0118] Optionally, the second determining module 140 is used for:

[0119] Based on the clamped gray value of the first target pixel and the initial gray value of the second target pixel, determine the maximum gray value and the minimum gray value of the pixel;

[0120] The difference between the maximum gray value and the minimum gray value is determined as the gray value distribution expansion adjustment value;

[0121] Calculate the first difference between the clamped gray value and the minimum gray value of the first target pixel, and the second difference between the initial gray value and the minimum gray value of the second target pixel;

[0122] Based on 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.

[0123] Optionally, the extended grayscale value of each pixel is determined by the following formula:

[0124]

[0125] Wherein, z is the clamped gray value of the first target pixel, or z is the initial gray value of the second target pixel, max is the maximum gray value, min is the minimum gray value, Z' is the extended gray value, MAX is the maximum gray value of the preset gray range, and MIN is the minimum gray value of the preset gray range.

[0126] Optionally, the first determining module 120 is used for:

[0127] The system acquires the vehicle's historical driving speed and determines the vehicle's maximum driving speed based on the historical driving speed; it also acquires the historical light intensity collected by the light sensor and determines the maximum light intensity of the environment in which the vehicle is located based on the historical light intensity.

[0128] Obtain 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 driving speed on the distortion ratio, and the light-weighted index is used to indicate the degree of influence of the illumination intensity on the distortion ratio;

[0129] The distortion ratio is determined using the following formula:

[0130]

[0131] Wherein, D is the distortion ratio, v is the driving speed, and v max The maximum driving speed is I, and the light intensity is I; max The maximum light intensity is given by p, the velocity-weighted index is given by q, and the light-weighted index is given by q.

[0132] Optionally, the speed-weighted index is determined in the following way:

[0133] A first detection image is generated by capturing a first shooting scene at a first driving speed, and a second detection image is generated by capturing the first shooting scene in a stationary state.

[0134] The first recursive parameter update process includes: inputting initial recursive parameters into the recursive weighter; weighting the pixel values ​​in the first detection image according to the first velocity weighting index to generate a third detection image; and updating the recursive weighter based on the initial recursive parameters when the average pixel difference between the pixel values ​​of each pixel in the third detection image and the pixel values ​​of each pixel in the second detection image is greater than a set pixel difference, thereby obtaining the updated recursive parameters.

[0135] The second recursive parameter update process includes: inputting the updated recursive parameters into the recursive weighter; determining a second speed weighting index based on the updated recursive parameters and the first speed weighting index; weighting the pixel values ​​in the first detection image based on the second speed weighting index to generate a fourth detection image; if the average pixel difference between the pixel values ​​of each pixel in the fourth detection image and the pixel values ​​of each pixel 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, updating the recursive performance parameters of the recursive weighter based on the updated recursive parameters to obtain the updated recursive parameters.

[0136] Repeat the second recursive parameter update process until the average pixel amplitude difference in the current second recursive parameter update process is less than or equal to the set pixel difference. Then, update the first speed weighted index according to the current second recursive parameter and generate the speed weighted index.

[0137] Optionally, module 130 is used for:

[0138] Obtain the first initial grayscale value of the first target pixel;

[0139] The first initial grayscale value is compared with the maximum clamping grayscale value and the minimum clamping grayscale value. The grayscale value of the pixel that is greater than the maximum clamping grayscale value is set as the maximum clamping grayscale value, and the grayscale value of the pixel that is less than the minimum clamping grayscale value is set as the minimum clamping grayscale value, so as to generate the clamping grayscale value of the first target pixel.

[0140] Optionally, module 110 is used for:

[0141] Obtain the influence weights of the illumination sensors at each of the aforementioned locations on the vehicle-mounted display screen;

[0142] The light intensity is generated by weighting and summing the light intensity according to the influence weights.

[0143] This disclosure also provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the steps of any of the vehicle-mounted LED backlight control methods described in the foregoing embodiments.

[0144] This disclosure also provides an automotive LED backlight, including:

[0145] processor;

[0146] Memory used to store processor-executable instructions;

[0147] The processor is configured to execute executable instructions in the memory to implement the vehicle LED backlight control method described in any of the foregoing embodiments.

[0148] Other embodiments of this disclosure will readily occur to those skilled in the art upon consideration of the specification and practice of this disclosure. This disclosure is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this disclosure are indicated by the following claims.

[0149] It should be understood that this disclosure is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this disclosure is limited only by the appended claims.

Claims

1. A method for controlling an automotive LED backlight, characterized in that, Applied to vehicles, including: When the current driving speed of the vehicle exceeds a preset speed threshold, the light intensity of the current environment of the vehicle is collected by light sensors arranged in multiple directions of the vehicle, and the target environment light intensity is determined according to the light intensity collected by the light sensors in each of the directions. The distortion ratio of the image currently displayed on the vehicle's in-vehicle display screen is determined based on the product between the driving speed and the target ambient light intensity, wherein the product is linearly proportional to the distortion ratio. Based on the distortion ratio and the initial grayscale value corresponding to each pixel in the obtained image, determine the minimum clamping grayscale value and the maximum clamping grayscale value during grayscale stretching, and construct a grayscale clamping interval based on the minimum clamping grayscale value and the maximum clamping grayscale value. A grayscale clamping transformation is performed on the first target pixel whose initial grayscale value is outside the grayscale clamping interval to generate a clamped grayscale value for the first target pixel. Based on 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 a preset grayscale range through linear mapping to determine the extended grayscale value of each pixel in the image. The ratio between the initial grayscale value of each pixel and the extended grayscale value corresponding to each pixel is calculated. The product of the ratio corresponding to each pixel and the preset initial LED backlight brightness is weighted and summed to obtain the target LED backlight brightness of the image currently being displayed. The display brightness of the LED backlight of the vehicle display screen 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 screen.

2. The vehicle-mounted LED backlight control method according to claim 1, characterized in that, The step of expanding the grayscale distribution of the image to a preset grayscale range through linear mapping based on 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, to determine the expanded grayscale value of each pixel in the image, includes: Based on the clamped gray value of the first target pixel and the initial gray value of the second target pixel, determine the maximum gray value and the minimum gray value of the pixel; The difference between the maximum gray value and the minimum gray value is determined as the gray value distribution expansion adjustment value; Calculate the first difference between the clamped gray value and the minimum gray value of the first target pixel, and the second difference between the initial gray value and the minimum gray value of the second target pixel; Based on 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 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 gray value of the first target pixel, or z is the initial gray value of the second target pixel, max is the maximum gray value, min is the minimum gray value, Z' is the extended gray value, MAX is the maximum gray value of the preset gray range, and MIN is the minimum gray value of the preset gray range.

4. The vehicle-mounted LED backlight control method according to claim 1, characterized in that, Determining the distortion ratio of the image currently displayed on the vehicle's onboard display screen based on the product of the driving speed and the target ambient light intensity includes: The system acquires the vehicle's historical driving speed and determines the vehicle's maximum driving speed based on the historical driving speed; it also acquires the historical light intensity collected by the light sensor and determines the maximum light intensity of the environment in which the vehicle is located based on the historical light intensity. Obtain 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 driving speed on the distortion ratio, and the light-weighted index is used to indicate the degree of influence of the illumination intensity on the distortion ratio; The distortion ratio is determined using the following formula: Wherein, D is the distortion ratio, v is the driving speed, and v max The maximum driving speed is I, and the light intensity is I; max The maximum light intensity is given by p, the velocity-weighted index is given by q, and the light-weighted index is given by q.

5. The vehicle-mounted LED backlight control method according to claim 4, characterized in that, The speed-weighted index is determined in the following way: A first detection image is generated by capturing a first shooting scene at a first driving speed, and a second detection image is generated by capturing the first shooting scene in a stationary state. The first recursive parameter update process includes: inputting initial recursive parameters into the recursive weighter; weighting the pixel values ​​in the first detection image according to the first velocity weighting index to generate a third detection image; and updating the recursive weighter based on the initial recursive parameters when the average pixel difference between the pixel values ​​of each pixel in the third detection image and the pixel values ​​of each pixel in the second detection image is greater than a set pixel difference, thereby obtaining the updated recursive parameters. The second recursive parameter update process includes: inputting the updated recursive parameters into the recursive weighter; determining a second speed weighting index based on the updated recursive parameters and the first speed weighting index; weighting the pixel values ​​in the first detection image based on the second speed weighting index to generate a fourth detection image; if the average pixel difference between the pixel values ​​of each pixel in the fourth detection image and the pixel values ​​of each pixel 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, updating the recursive performance parameters of the recursive weighter based on the updated recursive parameters to obtain the updated recursive parameters. Repeat the second recursive parameter update process until the average pixel amplitude difference in the current second recursive parameter update process is less than or equal to the set pixel difference. Then, update the first speed weighted index according to the current second recursive parameter and generate the speed weighted index.

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

7. The vehicle-mounted LED backlight control method according to any one of claims 1-6, characterized in that, Determining the target environment light intensity based on the light intensity collected by the light sensors at each of the aforementioned locations includes: Obtain the influence weights of the illumination sensors at each of the aforementioned locations on the vehicle-mounted display screen; The light intensity is generated by weighting and summing the light intensity according to the influence weights.

8. A vehicle-mounted LED backlight control device, characterized in that, Applied to vehicles, including: The acquisition module is used to collect the light intensity of the current environment of the vehicle based on light sensors arranged in multiple directions of the vehicle when the current driving speed of the vehicle exceeds a preset vehicle speed threshold, and to determine the light intensity of the target environment based on the light intensity collected by the light sensors in each of the directions. The first determining module is used to determine the distortion ratio of the image currently displayed on the vehicle's in-vehicle display screen based on the product between the driving speed and the target ambient light intensity, wherein the lookup table is determined based on the linear proportional relationship between the product and the distortion ratio. The construction module is used to determine the minimum clamping gray value and the maximum clamping gray value during gray-scale stretching based on the distortion ratio and the initial gray value corresponding to each pixel in the obtained image, and to construct a gray-scale clamping interval based on the minimum clamping gray value and the maximum clamping gray value. The second determining module is used to perform grayscale value clamping transformation on the first target pixel whose initial grayscale value is outside the grayscale clamping interval to generate the clamped grayscale value of the first target pixel, and based on 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, to extend the grayscale value distribution of the image to a preset grayscale range through linear mapping, so as to determine the extended grayscale value of each pixel in the image; The execution module is used to calculate the ratio between the initial grayscale value of each pixel and the extended grayscale value corresponding to each pixel, and to 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 of the image currently displayed, and to adjust the display brightness of the LED backlight 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.

9. A vehicle-mounted LED backlight, characterized in that, include: processor; Memory used to store processor-executable instructions; The processor is configured to execute executable instructions in the memory to implement the vehicle LED backlight control method according to any one of claims 1-7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the program implements the steps of the vehicle-mounted LED backlight control method according to any one of claims 1-7.

Images