Display parameter adjusting method

Abstract

The invention provides a display parameter adjusting method, which comprises the following steps: step 1, acquiring multi-source data of a current environment, and generating a comprehensive environment illumination parameter, the multi-source data comprising illumination intensity of the current environment and an average pixel value of a current environment image; step 2, acquiring a brightness parameter of the HDRI image, and generating a display adjustment coefficient of the target display according to a preset mapping relation; and step 3, determining a target display parameter according to the display adjustment coefficient and the brightness parameter of the HDRI image. According to the method and the device, the real and comfortable display effect of the graphical interface can be achieved in different light environments.

Description

Technical Field

[0001] The present invention relates to the technical field of displays, and in particular to a display parameter adjustment method. Background Art

[0002] With the booming development of intelligent cockpits in cars, various display screens offer drivers a rich array of information and interactive experiences. However, existing in-vehicle HMI (human-machine interaction) systems have significant shortcomings in display quality, making it difficult to adjust display parameters in real time based on varying environmental conditions. Existing systems often struggle to effectively cope with complex lighting conditions, such as strong direct sunlight or low-light, dim scenes. This can lead to overexposure, darkening, and insufficient contrast on the display, affecting users' ability to accurately access information and visual comfort, thereby diminishing the user experience. Summary of the Invention

[0003] The present invention provides a display parameter adjustment method, which aims to solve the defects in the prior art and achieve a realistic and comfortable display effect for a graphical interface under different lighting environments.

[0004] In order to achieve the above object, the technical solution adopted by the present invention is: The present invention provides a display parameter adjustment method, comprising: Step 1: Acquire multi-source data of the current environment and generate comprehensive environmental lighting parameters, wherein the multi-source data includes the light intensity of the current environment and the average pixel value of the current environment image; Step 2: Obtain the brightness parameters of the HDRI image and generate the display adjustment coefficient of the target display according to the preset mapping relationship; Step 3: Determine the target display parameters according to the display adjustment coefficient and the brightness parameter of the HDRI image.

[0005] Specifically, the step 1 includes: Step 101: Obtain the current ambient light intensity; Step 102: Obtain the average pixel value of the current environment image; Step 103: Use the preset algorithm to perform fusion calculation on the light intensity and average pixel value to obtain comprehensive ambient light parameters.

[0006] Specifically, the preset algorithm is a weighted average method.

[0007] Specifically, the ambient light parameter is calculated according to the following formula:

[0008] Among them, L envis the illumination intensity of the current ambient light, P represents the average pixel value of the current ambient image, w1 and w2 are weight coefficients, and w1+w2=1.

[0009] Specifically, the step 2 includes: Step 201: Obtain an HDRI image and obtain brightness parameters of pixels in the HDRI image, wherein the brightness parameters include a maximum brightness value of a pixel, a minimum brightness value of a pixel, and an average brightness value of a pixel; Step 201: Calculate the display adjustment coefficient of the target display according to the comprehensive ambient lighting parameters and the brightness parameters of the HDRI image.

[0010] Specifically, the display adjustment coefficient of the target display is calculated according to the following formula:

[0011] Among them, HL min HL max is the minimum and maximum brightness value of the HDRI image pixel, K Lmin , K Lmax To display the minimum and maximum values ​​of the brightness adjustment coefficient.

[0012] Specifically, step 3 includes: calculating the target display brightness according to the display brightness adjustment coefficient to adjust the display brightness of the target display, and the target display brightness is calculated according to the following formula:

[0013] Among them, B new Display brightness for the target, B old is the original display brightness.

[0014] Furthermore, step 3 further includes: calculating a target contrast ratio based on the comprehensive ambient lighting parameter and the brightness parameter of the HDRI image to adjust the display contrast ratio of the target display, wherein the target contrast ratio is calculated according to the following formula:

[0015] Among them, C new is the target contrast, C old is the original display contrast, L mid is the middle value of the preset ambient light parameter, and a is the adjustment coefficient, which can be pre-set according to the calibration result.

[0016] Furthermore, the step 3 further includes: adjusting the display color of the target display, including: transforming the original color using a color correction matrix to obtain the target color:

[0017] Among them, R old , G old 、B old is the original color, R new , G new 、B new is the target color, and M is the color correction matrix.

[0018] Specifically, the method for determining the color correction matrix includes: A. Set the corresponding color correction matrix in the system according to different ambient lighting conditions and target display properties and refer to the color and brightness in the HDRI image; B. Select the corresponding color correction matrix as the initial color correction matrix according to the current ambient light intensity; C. Adjusting the parameters in the initial color correction matrix according to the illumination intensity of the ambient light to generate a final color correction matrix.

[0019] The beneficial effects of the present invention are as follows: the present invention obtains multi-source data of the current environment, generates comprehensive environmental lighting parameters, and obtains HDRI images, thereby generating display adjustment coefficients of the target display according to a preset mapping relationship, and finally determines the target display parameters according to the display adjustment coefficients. The HDRI images applied to the lighting effects of the 3D interface are creatively used to adjust the 2D graphic interface, thereby achieving a realistic and comfortable display effect for the graphic interface under different lighting environments. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] Figure 1 It is a flow chart of the display parameter adjustment method of the present invention. DETAILED DESCRIPTION

[0021] The following describes the embodiments of the present invention in detail with reference to the accompanying drawings, which are for reference and illustration only and do not limit the scope of patent protection of the present invention.

[0022] In the processes described in the specification, claims, or drawings of the present invention, if the steps are numbered (e.g., steps 10, 20, etc.), these numbers are used solely to distinguish the steps and do not imply any order of execution. It should be noted that terms such as "first" and "second" are used solely to distinguish the objects being described and do not imply a sequential order or indicate different types of steps.

[0023] like Figure 1 As shown, this proposal provides a display parameter adjustment method applied to a 2D display interface, including: Step 1: Obtain multi-source data of the current environment and generate comprehensive ambient lighting parameters L envThe multi-source data includes the light intensity L of the current environment and the average pixel value P of the current environment image.

[0024] The current environment is the source of ambient light that affects the display of the target display, which may be determined according to the specific application scenario. For example, if the application scenario is an in-vehicle environment, the target display is an in-vehicle display, and the source of ambient light that affects the in-vehicle display is outside the vehicle, then the current environment is the outside-vehicle environment.

[0025] In this proposal, step 1 includes: Step 101: Obtain the current ambient light intensity L.

[0026] During specific implementation, the light intensity L may be measured by a light intensity sensor.

[0027] Step 102: Obtain the average pixel value P of the current environment image.

[0028] In a specific implementation, the environment image can be acquired through a camera, and the RGB values ​​(R cam ,G cam ,B cam ), then its average pixel value is P:

[0029] in, 、 、 Represent the average values ​​of R, G, and B pixels in the environment image respectively.

[0030] Step 103: Use the preset algorithm to perform fusion calculation on the light intensity L and the average pixel value P to obtain the comprehensive ambient light parameter L. env .

[0031] In this proposal, the preset algorithm is the weighted average method.

[0032] In this proposal, the ambient light parameter L env Calculated according to the following formula:

[0033] Among them, L env is the illumination intensity of the current ambient light, P represents the average pixel value of the current ambient image, w1 and w2 are weight coefficients, and w1+w2=1.

[0034] For example, if the current ambient light intensity L=800 lux, the average value of R, G, and B pixels in the current ambient image obtained by the camera is: , weights w1=0.7, w2=0.3, then:

[0035]

[0036] Step 2: Obtain the brightness parameters of the HDRI image and generate the display adjustment coefficient K of the target display according to the preset mapping relationship. L .

[0037] HDRI image is the abbreviation of High Dynamic Range Imaging, which means high dynamic range imaging. Its pixel values ​​are usually stored in high dynamic range format.

[0038] The HDRI image in this embodiment is a reference image pre-set in the system and used for scene lighting in the 3D interface. It can dynamically adjust the brightness, reflections, shadows, and other visual effects of objects in the 3D scene according to changes in ambient lighting, thereby enhancing the realism of the scene. Different HDRI images can be set according to different lighting requirements. For example, if the HDRI image is a picture of the sky at noon, the lighting effect of the 3D interface will be that of the sun at noon; if the HDRI image is a picture of the sky at noon on a cloudy day, the lighting effect of the 3D interface will be that of the sky at noon on a cloudy day.

[0039] In this proposal, step 2 includes: Step 201: Obtain an HDRI image and obtain the brightness parameters of the HDRI image pixels, including the maximum brightness value HL of the pixel. max , pixel minimum brightness value HL min And the average pixel brightness value HL ave .

[0040] Step 201: Based on the comprehensive ambient light parameter L env , the brightness parameter of the HDRI image, and calculate the display adjustment coefficient K of the target display L .

[0041] In this proposal, the display adjustment coefficient K of the target display is L Calculated according to the following formula:

[0042] Among them, HL min HL max is the minimum and maximum brightness value of the HDRI image pixel, K Lmin , K Lmax To display the minimum and maximum values ​​of the brightness adjustment coefficient.

[0043] This proposal creatively uses HDRI images applied to 3D interface lighting effects to adjust the brightness, contrast, and color saturation of 2D graphic interfaces, so that the 2D interface can maintain visual clarity and comfort in different lighting environments.

[0044] For example, if HL min =100,HL max =1000,K Lmin =0.5, K Lmax =2, then the adjustment coefficient K is displayed L :

[0045] Step 3: Adjust the coefficient K according to the display L , the brightness parameters of the HDRI image determine the target display parameters.

[0046] In this proposal, the step 3 includes: adjusting the display brightness coefficient K L Calculate the target display brightness B new , to adjust the display brightness of the target display.

[0047] In this proposal, the target display brightness is calculated according to the following formula:

[0048] Among them, B new Display brightness for the target, B old is the original display brightness.

[0049] For example, the original display brightness B old =200nit, then the target display brightness is B new for: B new =200×1.742=348.4nit In another proposal of the present invention, the step 3 further includes: according to the comprehensive ambient light parameter L env , the target contrast is calculated based on the brightness parameters of the HDRI image to adjust the display contrast of the target display.

[0050] In this proposal, the target contrast is calculated according to the following formula:

[0051] Among them, C new is the target contrast, C old is the original display contrast, L mid is the middle value of the preset ambient light parameter, and a is the adjustment coefficient, which can be pre-set according to the calibration result.

[0052] For example, the original display contrast C old =1.5, then the target contrast C new for:

[0053]

[0054] In another proposal of the present invention, the step 3 further includes: adjusting the display color of the target display.

[0055] In this proposal, the step of adjusting the display color of the target display includes: using the color correction matrix M to adjust the original color RGB old Transform to get the target color RGB new :

[0056] Among them, R old , G old 、B old is the original color, R new , G new 、B new is the target color, and M is the color correction matrix.

[0057] In this proposal, the method for determining the color correction matrix includes: A. Set the corresponding color correction matrix in the system according to different ambient lighting conditions and target display properties (such as color temperature, contrast) and referencing the color and brightness in the HDRI image.

[0058] Among them, the ambient light condition is based on the ambient light intensity It performs weighted processing, integrates data from multiple light sources, analyzes the RGB values ​​obtained by the camera, identifies and corrects color deviations in the environment, and determines the fusion of ambient light intensity and RGB data.

[0059] HDRI images contain not only brightness information but also color information. Each pixel in the image carries RGB components, which vary under different lighting conditions. Therefore, accurately obtaining the color information of HDRI images is crucial for dynamically adjusting display colors.

[0060] B. Select the corresponding color correction matrix as the initial color correction matrix according to the current ambient light intensity L.

[0061] In bright light environments, a color correction matrix that optimizes highlight areas is selected, while in low light environments, a color correction matrix that optimizes shadow and brightness contrast is selected.

[0062] C. Adjust the parameters in the initial color correction matrix according to the illumination intensity L of the ambient light to generate a final color correction matrix M.

[0063] The specific method is: If the illumination intensity L of the ambient light corresponds to a high illumination environment (such as strong sunlight), the red or green component is reduced to avoid oversaturation of the display and ensure that the picture is not distorted.

[0064] If the illumination intensity L of the ambient light corresponds to a low-light environment (such as at night or in a tunnel), the blue component is increased to enhance the brightness and clarity of the display while avoiding dark colors.

[0065] This step adjusts the display color of the vehicle target display according to the color information of the HDRI image, so that the display color is more in line with the current ambient lighting characteristics and improves visual comfort.

[0066] For example, if the final color correction matrix M is:

[0067] The original color RGB value is: R old =100, G old =80, B old =60.

[0068] Calculate the adjusted color RGB value:

[0069] That is: R new =118, G new =96, B new =60.

[0070] The above disclosure is only a preferred embodiment of the present invention and cannot be used to limit the scope of protection of the present invention. Therefore, equivalent changes made according to the scope of the patent application of the present invention are still within the scope covered by the present invention.

Claims

1. A display parameter adjustment method, characterized in that: include: Step 1: Acquire multi-source data of the current environment and generate comprehensive environmental lighting parameters, wherein the multi-source data includes the light intensity of the current environment and the average pixel value of the current environment image; Step 2: Obtain the brightness parameters of the HDRI image and generate the display adjustment coefficient of the target display according to the preset mapping relationship; Step 3: Determine the target display parameters according to the display adjustment coefficient and the brightness parameter of the HDRI image.

2. The display parameter adjustment method according to claim 1, characterized in that: The step 1 comprises: Step 101: Obtain the current ambient light intensity; Step 102: Obtain the average pixel value of the current environment image; Step 103: Use the preset algorithm to perform fusion calculation on the light intensity and average pixel value to obtain comprehensive ambient light parameters.

3. The display parameter adjustment method according to claim 2, characterized in that: The preset algorithm is the weighted average method.

4. The display parameter adjustment method according to claim 2, wherein: The ambient light parameters are calculated according to the following formula: Among them, L env is the illumination intensity of the current ambient light, P represents the average pixel value of the current ambient image, w1 and w2 are weight coefficients, and w1+w2=1.

5. The display parameter adjustment method according to claim 4, characterized in that: The step 2 includes: Step 201: Obtain an HDRI image and obtain brightness parameters of pixels in the HDRI image, wherein the brightness parameters include a maximum brightness value of a pixel, a minimum brightness value of a pixel, and an average brightness value of a pixel; Step 201: Calculate the display adjustment coefficient of the target display according to the comprehensive ambient lighting parameters and the brightness parameters of the HDRI image.

6. The display parameter adjustment method according to claim 5, characterized in that: The display adjustment coefficient of the target display is calculated according to the following formula: Among them, HL min HL max is the minimum and maximum brightness value of the HDRI image pixel, K Lmin , K Lmax To display the minimum and maximum values ​​of the brightness adjustment coefficient.

7. The display parameter adjustment method according to claim 6, characterized in that: The step 3 includes: calculating the target display brightness according to the display brightness adjustment coefficient to adjust the display brightness of the target display, and the target display brightness is calculated according to the following formula: Among them, B new Display brightness for the target, B old is the original display brightness.

8. The display parameter adjustment method according to claim 7, characterized in that: The step 3 further includes: calculating a target contrast ratio based on the comprehensive ambient lighting parameter and the brightness parameter of the HDRI image to adjust the display contrast ratio of the target display. The target contrast ratio is calculated according to the following formula: Among them, C new is the target contrast, C old is the original display contrast, L mid is the middle value of the preset ambient light parameter, and a is the adjustment coefficient, which can be pre-set according to the calibration result.

9. The display parameter adjustment method according to claim 8, characterized in that: The step 3 further includes: adjusting the display color of the target display, including: transforming the original color using a color correction matrix to obtain the target color: Among them, R old , G old 、B old is the original color, R new , G new 、B new is the target color, and M is the color correction matrix.

10. The display parameter adjustment method according to claim 9, characterized in that: The method for determining the color correction matrix includes: A. Set the corresponding color correction matrix in the system according to different ambient lighting conditions and target display properties and refer to the color and brightness in the HDRI image; B. Select the corresponding color correction matrix as the initial color correction matrix according to the current ambient light intensity; C. Adjusting the parameters in the initial color correction matrix according to the illumination intensity of the ambient light to generate a final color correction matrix.

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