Display device quality adjustment method, device, trichromatic light sensor, and display device

Abstract

This application provides embodiments belonging to display technology, providing a method, device, three-color light sensor, and display device for adjusting the image quality of a display device. The method includes: detecting ambient illuminance and RGB component values; determining, based on RGB reference information, the RGB component reference value with the smallest difference between the ambient illuminance and the RGB component values; determining whether the difference between the RGB component reference value and the RGB component values ​​is within a specific difference range; if not within the specific difference range, determining image quality parameters of the display device based on the RGB component reference value and the RGB component values; and adjusting the image quality of the display device based on the image quality parameters. This application determines image quality parameters based on RGB component reference values ​​and RGB component values, improving the accuracy of the image quality parameters and thus improving the image quality.

Description

Technical Field

[0001] This application relates to display technology. More specifically, it relates to a method, apparatus, tri-color light sensor, and display device for adjusting the image quality of a display device. Background Technology

[0002] Currently, more and more TV products are equipped with tri-color light sensor functionality, and this function can be associated with multiple different picture quality parameters.

[0003] The existing technology calls the corresponding image quality effect parameters based on the RGB component values ​​detected by the three-color light sensor.

[0004] However, due to differences in TV structural design and the different positions and orientations of the three-color light sensors, the RGB component values ​​detected by the three-color light sensors may be RGB component values ​​generated by non-light source objects in the environment. Therefore, the picture quality effect parameters are called based on these RGB component values, resulting in poor picture quality. Summary of the Invention

[0005] This application provides an exemplary embodiment of a display device image quality adjustment method, device, tri-color light sensor, and display device to solve the problem that the existing technology calls the image quality effect parameters of the display device based on the RGB component values ​​detected by the tri-color light sensor, resulting in poor image quality.

[0006] In a first aspect, an embodiment of this application provides a method for adjusting the image quality of a display device, comprising:

[0007] Detect ambient light intensity and the RGB component values ​​of the three primary colors;

[0008] Based on RGB reference information, determine the RGB component reference value with the smallest difference between ambient light and RGB component values;

[0009] Determine whether the difference between the RGB component reference value and the RGB component value is within a specific range.

[0010] If the difference is not within a specific range, the image quality parameters of the display device are determined based on the RGB component reference value and the RGB component values.

[0011] Adjust the image quality of the display device based on the image quality parameters.

[0012] In some possible implementations, determining whether the difference between the RGB component reference value and the RGB component value is within a specific range includes:

[0013] Obtain the first red difference, first green difference, and first blue difference between the RGB component reference value and the RGB component values;

[0014] Determine whether the first red difference, the first green difference, and the first blue difference are within a specific difference range.

[0015] In some possible implementations, the image quality parameters of the display device are determined based on the RGB component reference value and the RGB component values, including:

[0016] Compare the first red difference, the first green difference, and the first blue difference to obtain the minimum difference;

[0017] The minimum difference is used as the reference compensation coefficient to correct the RGB component reference value, and the corrected RGB component reference value is obtained.

[0018] The image quality parameters of the display device are determined based on the corrected RGB component reference values.

[0019] In some possible implementations, the minimum difference is used as a reference compensation coefficient to correct the RGB component reference values, resulting in corrected RGB component reference values, including:

[0020] Obtain the second red difference, second green difference, and second blue difference between the RGB component reference value and the minimum difference, and use the second red difference, second green difference, and second blue difference as the corrected RGB component reference value.

[0021] In some possible implementations, before detecting ambient illuminance and the RGB component values, the following steps are also included:

[0022] Measure the color temperature of different lamps and the RGB component reference values ​​of the three-color light sensor at different installation positions, and generate RGB reference information based on the RGB component reference values.

[0023] Secondly, embodiments of this application provide a display device image quality adjustment device, comprising:

[0024] The detection module is used to detect ambient light intensity and the RGB component values ​​of the three primary colors;

[0025] The determination module is used to determine the RGB component reference value with the smallest difference between the ambient light illuminance and the RGB component value based on the RGB reference information.

[0026] The processing module is used to determine whether the difference between the RGB component reference value and the RGB component value is within a specific difference range;

[0027] The determination module is also used to determine the image quality parameters of the display device based on the RGB component reference value and the RGB component values ​​if the image quality is not within a specific difference range.

[0028] The processing module is also used to adjust the image quality of the display device based on the image quality parameters.

[0029] Thirdly, embodiments of this application provide a three-color light sensor, including: a processor and a memory, wherein code is stored in the memory, and the processor runs the code stored in the memory to perform a display device image quality adjustment method as described in any of the first aspects.

[0030] Fourthly, embodiments of this application provide a display device, including: a three-color light sensor and a display, wherein the three-color light sensor is used to perform the method of any one of the first aspects, and the display is used to display an image based on the image quality parameters of the display device.

[0031] Fifthly, embodiments of this application provide a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement the display device image quality adjustment method as described in the first aspect of this application.

[0032] In a sixth aspect, embodiments of this application provide a computer program product, including a computer program that, when executed by a processor, implements the display device image quality adjustment method as described in the first aspect of this application.

[0033] This application provides a method, apparatus, tri-color light sensor, and display device for adjusting the image quality of a display device. The method includes: detecting ambient illuminance and the RGB component values ​​of the three primary colors; determining, based on RGB reference information, the RGB component reference value with the smallest difference from the RGB component values ​​under the ambient illuminance; determining whether the difference between the RGB component reference value and the RGB component values ​​is within a specific difference range; if not within the specific difference range, determining the image quality parameters of the display device based on the RGB component values ​​and the RGB component reference value. Since the image quality effect of this application is determined jointly based on the RGB component reference value and the RGB component values, the influence of non-light source objects in the environment is reduced, improving the accuracy of the image quality parameters and the overall image quality.

[0034] These and other aspects of this application will become more apparent in the description of the following embodiments(s). Attached Figure Description

[0035] To more clearly illustrate the implementation methods in the embodiments of this application or related technologies, the accompanying drawings used in the description of the embodiments or related technologies will be briefly introduced below. Obviously, the accompanying drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings.

[0036] Figure 1 A schematic diagram of a scenario where a tri-color light sensor determines image quality parameters of a display device, as provided in an embodiment of this application;

[0037] Figure 2 A flowchart of a display device image quality adjustment method provided in this application embodiment;

[0038] Figure 3 A flowchart illustrating a method for determining image quality parameters of a display device, as provided in this application embodiment;

[0039] Figure 4 A schematic diagram of a display device image quality adjustment device provided in an embodiment of this application;

[0040] Figure 5 This is a schematic diagram of a three-color light sensor provided in an embodiment of this application. Detailed Implementation

[0041] To make the objectives, implementation methods and advantages of this application clearer, the exemplary implementation methods of this application will be clearly and completely described below with reference to the accompanying drawings of the exemplary embodiments of this application. Obviously, the described exemplary embodiments are only some embodiments of this application, and not all embodiments.

[0042] Based on the exemplary embodiments described in this application, all other embodiments obtained by those skilled in the art without inventive effort are within the scope of protection of the appended claims. Furthermore, although the disclosures in this application are presented by way of one or more exemplary examples, it should be understood that each aspect of these disclosures can also constitute a complete implementation on its own.

[0043] It should be noted that the brief descriptions of terms in this application are only for the convenience of understanding the embodiments described below, and are not intended to limit the embodiments of this application. Unless otherwise stated, these terms should be understood in their ordinary and common meaning.

[0044] In this application, the terms "first," "second," "third," etc., used in the specification, claims, and accompanying drawings are used to distinguish similar or related objects or entities and do not necessarily imply a specific order or sequence, unless otherwise indicated. It should be understood that such terms can be used interchangeably where appropriate, for example, in situations where implementation is possible in a sequence other than those given in the embodiments illustrated or described in this application.

[0045] Furthermore, the terms “including” and “having”, and any variations thereof, are intended to cover but not exclusively include, for example, a product or device that includes a series of components is not necessarily limited to those components that are clearly listed, but may include other components that are not clearly listed or that are inherent to such product or device.

[0046] Currently, more and more TV products are using tri-color light sensors. To achieve better picture quality under different ambient lighting conditions, multiple different picture quality parameters can be associated with each condition. However, due to variations in the structural design of different TV series, the position and orientation of the tri-color light sensors also differ. When the position and orientation of the tri-color light sensor are easily affected by the RGB component values ​​generated by non-light source objects in the environment—for example, when the tri-color light sensor is facing downwards—it is easily influenced by the color of the table surface on which the TV is placed. This can lead to incorrect calculation of the RGB component values ​​of the table surface color within the overall ambient light calculation, resulting in the inaccurate use of corresponding picture quality parameters and thus a deterioration in picture quality. For example, under the same ambient light conditions, when the tabletop is red, the tri-color light sensor detects a higher R component and incorporates the overall ambient light into the calculation. The image quality parameters will compensate for the G and B components and perform a color temperature shift, resulting in a white balance that is too green and a color temperature that is too low, leading to poor image quality. When the tabletop is green, the tri-color light sensor detects a higher G component and incorporates the overall ambient light into the calculation. The image quality parameters will compensate for the R and B components and perform a color temperature shift, resulting in a white balance that is too red and a color temperature that is too high, leading to poor image quality.

[0047] This application provides a method for adjusting the image quality of a display device. By detecting the ambient illuminance and RGB component values ​​of the environment in which the display device is located, the method can determine the RGB component reference value that best matches the RGB component values ​​under the same ambient illuminance from the RGB reference information. Based on the RGB component reference value and the RGB component values, the image quality parameters of the display device are determined, reducing the influence of non-light source objects in the environment. Therefore, adjusting the image quality of the display device according to these image quality parameters can improve the image quality effect.

[0048] Figure 1 This is a schematic diagram illustrating a scenario where a three-color light sensor determines image quality parameters of a display device, as provided in an embodiment of this application. Figure 1 As shown, after receiving ambient light, the tri-color light sensor can detect the current ambient light illuminance and RGB component values. The RGB component values ​​include red, green, and blue values. Based on the ambient light illuminance, a corresponding RGB component reference value is determined. A difference analysis is performed between the RGB component values ​​and the RGB component reference value to obtain the minimum difference. This minimum difference is used to correct the RGB component reference value, resulting in a corrected RGB component reference value. Based on the corrected RGB component reference value, corresponding image quality parameters can be determined, and image quality adjustments can then be made accordingly.

[0049] Figure 2 This is a flowchart illustrating a display device image quality adjustment method provided in an embodiment of this application. The method provided in this application can be executed by a three-color light sensor and can be implemented through hardware, software, or a combination of hardware and software. Figure 2 As shown, the method of this application may include:

[0050] S201: Detects ambient light intensity and the RGB component values ​​of the three primary colors.

[0051] RGB stands for Red, Green, and Blue, which are also known as the three primary colors. Illuminance refers to the luminous flux received per unit area on the surface of a photographed subject, and its unit is lux (lx).

[0052] In one implementation scenario, before detecting ambient illuminance and RGB component values, the color temperature of different lamps and the RGB component reference values ​​at different installation positions of the three-color light sensor can be measured, and RGB reference information can be generated based on the RGB component reference values.

[0053] To clearly display the RGB component reference values ​​under different lamp color temperatures and different ambient light intensities, the RGB reference information can be presented in tabular form, with the orientation of the three-color light sensor as an example of forward or downward, as shown in Tables 1 and 2 below:

[0054] Table 1 shows the baseline values ​​of RGB components for different luminaire color temperatures, with the light sensor facing forward.

[0055]

[0056] Table 2 shows the baseline values ​​of RGB components for different luminaire color temperatures, with the light sensor facing downwards.

[0057]

[0058]

[0059] It should be noted that the RGB component reference values ​​in Tables 1 and 2 are also obtained by the tri-color light sensor, but the influence of non-light source objects in the environment should be minimized. For example, the tri-color light sensor can be placed further away from the desktop to reduce the influence of the desktop color.

[0060] S202: Determine the RGB component reference value with the smallest difference between ambient light and RGB component values ​​based on RGB reference information.

[0061] In one implementation scenario, after determining the orientation of the tri-color light sensor, the corresponding RGB reference information can be determined. Based on the RGB reference information, the RGB component reference value is determined according to the difference between the reference value and the RGB component value. When the difference is the smallest, it indicates that the RGB component reference value best matches the RGB component value. For example, when the tri-color light sensor is facing downwards, the reference value with the smallest difference from the RGB component value under the ambient light intensity in Table 2 can be used as the RGB component reference value. Simultaneously, in the process of determining the RGB component reference value, the corresponding luminaire color temperature can also be determined.

[0062] In another implementation scenario, since the tri-color light sensor can also detect the ambient color temperature, it can also determine the corresponding RGB component reference values ​​in the RGB reference information based on the ambient illuminance and ambient color temperature.

[0063] S203: Determine whether the difference between the RGB component reference value and the RGB component value is within a specific difference range.

[0064] In one implementation scenario, the first red difference, first green difference, and first blue difference between the RGB component reference value and the RGB component values ​​are obtained; it is then determined whether each of these differences falls within a specific range. For example, the RGB component reference value is represented by (Rxx, Gxx, Bxx), and the RGB component values ​​detected by the three-color light sensor are represented by (Rin, Gin, Bin). In this case, the first red difference = Rxx - Rin, the first green difference = Gxx - Gin, and the first blue difference = Bxx - Bin.

[0065] Because there will be some error when testing the RGB component values ​​at the same location using multiple different tri-color light sensors under different lighting conditions, by analyzing multiple RGB component values, a specific range of difference between the RGB component values ​​under different lighting conditions can be obtained.

[0066] S204: If it is not within a specific difference range, the display device's image quality parameters are determined based on the RGB component reference value and RGB component values.

[0067] When one or more of the first red difference, first green difference, and first blue difference are outside the specific difference range, it indicates that the RGB component values ​​detected by the three-color light sensor are affected by the RGB component values ​​generated by non-light source objects in the environment. For example, if the three-color light sensor is facing downwards, it will be affected by the color of the table surface on which the TV is placed. When the table surface color is red, the first red difference will exceed the specific difference range.

[0068] In one implementation scenario, the difference between the RGB component reference value and the RGB component value can be analyzed to determine the minimum difference. The RGB component reference value can then be corrected based on the minimum difference to reduce the influence of non-light source objects in the environment. Therefore, the corrected RGB component reference value has high accuracy.

[0069] The image quality parameters of a display device may include one or more of the following: color temperature, color, brightness, contrast, sharpness, and saturation.

[0070] In another implementation scenario, if the RGB component values ​​are within a specific difference range, the image quality parameters of the display device can be determined directly based on the RGB component values.

[0071] S205: Adjust the image quality of the display device according to the image quality parameters.

[0072] Display devices can be LCD displays, OLED displays, or projection displays. There are no restrictions on the specific type, size, or resolution of the display device. Those skilled in the art will understand that display devices can be modified in terms of performance and configuration as needed.

[0073] In addition to providing broadcast television reception functions, display devices can also be equipped with smart network TV functions that provide computer support, including but not limited to network TV, smart TV, Internet Protocol TV, etc.

[0074] This application provides a method for adjusting the image quality of a display device. It detects ambient illuminance and the RGB component values ​​of the three primary colors (RGB). Based on RGB reference information, it determines the RGB component reference value with the smallest difference between the ambient illuminance and the RGB component values. It then determines whether the difference between the RGB component reference value and the RGB component values ​​is within a specific range. If not, it determines the image quality parameters of the display device based on the RGB component reference value and the RGB component values, and adjusts the image quality of the display device accordingly. The method provided in this application determines the image quality parameters of the display device based on both the RGB component reference value and the RGB component values, making certain corrections to the RGB component reference value to reduce the influence of non-light source objects in the environment, thereby improving the accuracy of the image quality parameters. Finally, it adjusts the image quality of the display device based on the corrected image quality parameters, thus improving the image quality effect.

[0075] Based on the above embodiments, a specific embodiment is provided below to explain in detail the process of determining the display device image quality parameters according to the RGB component reference value and RGB component values.

[0076] Figure 3 A flowchart illustrating a method for determining image quality parameters of a display device, as provided in this application embodiment, is shown below. Figure 3As shown, the tri-color light sensor in the display device is configured to perform the following steps:

[0077] S301: Compare the first red difference, the first green difference, and the first blue difference to obtain the minimum difference.

[0078] The first red difference, first green difference, and first blue difference are obtained based on the RGB component reference value and the RGB component values, and can be positive or negative. For example, if the RGB component reference value is (200, 200, 100) and the RGB component values ​​measured by the three-color light sensor are (190, 197, 103), then the first red difference is 10, the first green difference is 3, and the first blue difference is -3.

[0079] By comparing the first red difference, the first green difference, and the first blue difference, it can be seen that the first blue difference is the smallest. Therefore, the first blue difference is taken as the smallest difference. For ease of description, the smallest difference can be represented by Ki, that is, Ki = -3 at this time.

[0080] S302: Use the minimum difference as the reference compensation coefficient to correct the RGB component reference value and obtain the corrected RGB component reference value.

[0081] In one implementation scenario, the second red difference, second green difference, and second blue difference are obtained from the minimum difference between the RGB component reference value and the reference value. These second red difference, second green difference, and second blue difference are then used as the corrected RGB component reference value. The RGB component reference value can be represented as (Rxx, Gxx, Bxx). The minimum difference Ki is used to correct the RGB component reference value, resulting in the corrected RGB component reference value (Rout, Gout, Bout), where Rout = Rxx - Ki, Gout = Gxx - Ki, and Bout = Bxx - Ki. For example, if the RGB component reference value is (200, 200, 100), and the RGB component value measured by the three-color light sensor is (190, 197, 103), then Ki = -3. Therefore, the corrected RGB component reference value is (203, 203, 103).

[0082] S303: Determine the image quality parameters of the display device based on the corrected RGB component reference values.

[0083] Since the corrected RGB component reference values ​​do not include RGB values ​​generated by non-light source objects in the environment, determining the corresponding image quality parameters based on the corrected RGB component reference values ​​has high accuracy and is beneficial for improving image quality.

[0084] This application provides a method for determining image quality parameters of a display device. The method compares a first red difference, a first green difference, and a first blue difference to obtain the minimum difference. This minimum difference is used as a reference compensation coefficient to correct the RGB component reference values, obtaining corrected RGB component reference values. The image quality parameters of the display device are then determined based on these corrected RGB component reference values. This method corrects the RGB reference values ​​and determines the corresponding image quality parameters using the corrected RGB component reference values. This reduces the influence of RGB component values ​​generated by non-light source objects in the environment, thereby improving the accuracy of the image quality parameters and ultimately enhancing the image quality.

[0085] Figure 4 This is a schematic diagram of a display device image quality adjustment device provided in an embodiment of this application. This display device image quality adjustment device is applied to a display device. Figure 4 As shown, the display device image quality adjustment device 400 provided in this application embodiment includes: a detection module 401, a determination module 402, and a processing module 403.

[0086] Detection module 401 is used to detect ambient light intensity and the RGB component values ​​of the three primary colors;

[0087] The determination module 402 is used to determine the RGB component reference value with the smallest difference between the ambient light illuminance and the RGB component value based on the RGB reference information;

[0088] Processing module 403 is used to determine whether the difference between the RGB component reference value and the RGB component value is within a specific difference range;

[0089] The determining module 402 is also used to determine the image quality parameters of the display device based on the RGB component reference value and the RGB component value if the image quality is not within a specific difference range.

[0090] The processing module 403 is also used to adjust the image quality of the display device according to the image quality effect parameters.

[0091] It should be noted that the device provided in this embodiment can be used to perform the above-described display device image quality adjustment method, and its implementation method and technical effect are similar, so it will not be described again here.

[0092] It should be noted that the division of the various modules in the above device is merely a logical functional division. In actual implementation, they can be fully or partially integrated into a single physical entity, or they can be physically separated. Furthermore, these modules can be implemented entirely in software via processing element calls; they can be fully implemented in hardware; or some modules can be implemented by processing element calls to software, while others are implemented in hardware. For example, a processing module can be a separate processing element, or it can be integrated into a chip within the device. Alternatively, it can be stored as program code in the device's memory, and its functions can be called and executed by a processing element. The implementation of other modules is similar. Moreover, these modules can be fully or partially integrated together, or they can be implemented independently. The processing element here can be an integrated circuit with signal processing capabilities. During implementation, each step of the above method or each of the above modules can be completed through integrated logic circuits in the hardware of the processor element or through software instructions.

[0093] For example, these modules can be one or more integrated circuits configured to implement the above methods, such as one or more ASICs (Application Specific Integrated Circuits), one or more DSPs (Digital Signal Processors), or one or more FPGAs (Field Programmable Gate Arrays). As another example, when a module is implemented through processing element scheduler code, the processing element can be a general-purpose processor, such as a CPU or other processor capable of calling program code. Furthermore, these modules can be integrated together as a System-on-a-Chip (SoC).

[0094] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented in software, it can be implemented, in whole or in part, as a computer program product. A computer program product includes one or more computer programs. When the computer program instructions are loaded and executed on a computer, all or part of the flow or function according to the embodiments of this application is generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer program can be stored in a computer-readable storage medium or transferred from one computer-readable storage medium to another. For example, a computer program can be transferred from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that integrates one or more available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., a solid-state disk (SSD)).

[0095] Figure 5 This is a schematic diagram of a three-color light sensor provided in an embodiment of this application, as shown below. Figure 5 As shown, this application embodiment provides a three-color light sensor 500 including a processor 501 and a memory 502, wherein the processor 501 and the memory 502 are connected through a bus 503.

[0096] In the specific implementation process, the memory 502 stores code, and the processor 501 runs the code stored in the memory 502 to execute the display device image quality adjustment method of the above method embodiment.

[0097] The specific implementation process of processor 501 can be found in the above method embodiments, and its implementation principle and technical effect are similar. It will not be repeated here.

[0098] In the above Figure 5In the illustrated embodiments, it should be understood that the processor 501 can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), etc. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the method disclosed in this invention can be directly implemented by a hardware processor, or implemented by a combination of hardware and software modules within the processor.

[0099] The memory 502 may include high-speed RAM memory, and may also include non-volatile memory (NVM), such as at least one disk storage.

[0100] Bus 503 can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Bus 503 can be divided into address bus, data bus, control bus, etc. For ease of illustration, the bus 503 in the accompanying drawings of this application is not limited to only one bus or one type of bus.

[0101] This application provides a display device, including a three-color light sensor and a display. The three-color light sensor is used to perform the above-described display device image quality adjustment method, and the display is used to display an image based on the image quality parameters of the display device.

[0102] This application also provides a computer-readable storage medium storing computer-executable instructions, which, when executed by a processor, are used to implement the display device image quality adjustment method as described in any of the above method embodiments.

[0103] This application also provides a computer program product, including a computer program that, when executed by a processor, can implement the display device image quality adjustment method as described in any of the above method embodiments.

[0104] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features therein. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of this application.

[0105] For ease of explanation, the above description has been provided in conjunction with specific embodiments. However, the above exemplary discussion is not intended to be exhaustive or to limit the embodiments to the specific forms disclosed above. Various modifications and variations can be obtained based on the above teachings. The selection and description of the above embodiments are for the purpose of better explaining the principles and practical applications, thereby enabling those skilled in the art to better utilize the embodiments and various different variations of embodiments suitable for specific application considerations.

Claims

1. A method for adjusting the image quality of a display device, characterized in that, include: Detect ambient light intensity and the RGB component values ​​of the three primary colors; Determine the RGB component reference values ​​based on RGB reference information; Determine whether the difference between the RGB component reference value and the RGB component value is within a specific difference range; If the difference is not within a specific range, then the minimum difference is determined based on the RGB component reference value and the RGB component value, and the image quality parameters of the display device are determined based on the minimum difference. The display device is adjusted according to the image quality parameters. The step of determining whether the difference between the RGB component reference value and the RGB component value is within a specific difference range includes: Obtain the first red difference, the first green difference, and the first blue difference between the RGB component reference value and the RGB component value; Determine whether the first red difference, the first green difference, and the first blue difference are within a specific difference range; The step of determining the minimum difference based on the RGB component reference value and the RGB component values, and determining the image quality parameters of the display device based on the minimum difference, includes: The first red difference, the first green difference, and the first blue difference are compared to obtain the minimum difference. The minimum difference is used as the reference compensation coefficient to correct the RGB component reference value, and the corrected RGB component reference value is obtained. The image quality parameters of the display device are determined based on the corrected RGB component reference values.

2. The method according to claim 1, characterized in that, The step of using the minimum difference as a benchmark compensation coefficient to correct the RGB component benchmark value and obtain the corrected RGB component benchmark value includes: Obtain the second red difference, second green difference, and second blue difference after subtracting the minimum difference from the RGB component reference value, and use the second red difference, second green difference, and second blue difference as the corrected RGB component reference value.

3. The method according to any one of claims 1-2, characterized in that, Before detecting the ambient light intensity and the RGB component values, the method further includes: The color temperature of different lamps and the RGB component reference values ​​of the three-color light sensor at different installation positions are measured, and the RGB reference information is generated based on the RGB component reference values.

4. A display device image quality adjustment device, characterized in that, include: The detection module is used to detect ambient light intensity and the RGB component values ​​of the three primary colors; The determination module determines the RGB component reference values ​​based on the RGB reference information; The processing module is used to determine whether the difference between the RGB component reference value and the RGB component value is within a specific difference range; The determining module is also used to determine the image quality parameters of the display device based on the RGB component reference value and the RGB component value if the image quality is not within a specific difference range. The processing module is also used to adjust the image quality of the display device according to the image quality effect parameters; The step of determining whether the difference between the RGB component reference value and the RGB component value is within a specific difference range includes: Obtain the first red difference, the first green difference, and the first blue difference between the RGB component reference value and the RGB component value; Determine whether the first red difference, the first green difference, and the first blue difference are within a specific difference range; The step of determining the image quality parameters of the display device based on the RGB component reference value and the RGB component values ​​includes: The first red difference, the first green difference, and the first blue difference are compared to obtain the minimum difference. The minimum difference is used as the reference compensation coefficient to correct the RGB component reference value, and the corrected RGB component reference value is obtained. The image quality parameters of the display device are determined based on the corrected RGB component reference values.

5. A tri-color light sensor, characterized in that, include: A processor and a memory, wherein code is stored in the memory, and the processor executes the code stored in the memory to perform the display device image quality adjustment method as described in any one of claims 1-3.

6. A display device, characterized in that, include: A three-color light sensor and a display, wherein the three-color light sensor is used to perform the method according to any one of claims 1-3, and the display is used to display an image based on the image quality parameters of the display device.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed by a processor, are used to implement the display device image quality adjustment method as described in any one of claims 1-3.

8. A computer program product comprising a computer program that, when executed by a processor, implements the display device image quality adjustment method according to any one of claims 1-3.

Images