Display screen full gray scale optical information acquisition method and device and display control equipment

Abstract

The application is suitable for the technical field of display screen, and provides a display screen full gray scale optical information acquisition method, device and display control equipment. The information acquisition method specifically comprises: acquiring a lamp point image corresponding to each gray scale of a target display area of a display screen in multiple gray scales, wherein the target display area is part or all of the display area of the display screen, and imaging of at least part of lamp points in the target display area is in a sticking state; acquiring optical information of the target display area under each gray scale according to the lamp point image corresponding to each gray scale, wherein the optical information is used for evaluating the display quality of the target display area; and / or the optical information is used for correcting the lamp points in the target display area. The embodiment of the application can improve the evaluation or correction effect of the display screen.

Description

Technical Field

[0001] This application belongs to the field of display screen technology, and in particular relates to a method, system, device, terminal equipment and display control equipment for acquiring full grayscale optical information of a display screen. Background Technology

[0002] With the development of LED display technology, LED displays have been applied to various fields due to their advantages such as low cost, low power consumption, high visibility, and flexible assembly. However, due to manufacturing processes and other issues, the Mura state of current LED displays often varies under different brightness levels. Inconsistent Mura state refers to uneven brightness of the display, making it difficult for related technologies to meet user needs in terms of display evaluation or calibration. Summary of the Invention

[0003] This application provides a method, system, terminal device, and display control device for acquiring full grayscale optical information of a display screen, which can solve the problem of poor evaluation or calibration effects of current display screens.

[0004] The first aspect of this application provides a method for acquiring full grayscale optical information of a display screen, comprising: controlling a target display area of ​​the display screen to display at multiple grayscale levels, wherein the target display area is part or all of the display area of ​​the display screen; adjusting the acquisition parameters of an acquisition device so that the images of at least some lamps in the target display area are in a state of adhesion; after the acquisition parameters are adjusted, controlling the acquisition device to take pictures of the target display area to obtain lamp images corresponding to each grayscale level of the target display area, wherein the images of at least some lamps in the lamp images are in a state of adhesion; acquiring optical information of the target display area at each grayscale level based on the lamp images corresponding to each grayscale level, wherein the optical information is used to evaluate the display quality of the target display area; and / or, the optical information is used to correct the lamps in the target display area.

[0005] The second aspect of this application provides an evaluation / calibration system, comprising: an acquisition device for capturing images in a display screen; and an evaluation / calibration apparatus for processing the images captured by the acquisition device to execute the full grayscale optical information acquisition method for the display screen described in the first aspect.

[0006] A third aspect of this application provides a method for acquiring full grayscale optical information of a display screen, comprising: acquiring lamp image corresponding to each grayscale level of a target display area of ​​the display screen in multiple grayscale levels, wherein the target display area is part or all of the display area of ​​the display screen, and at least some lamp images within the target display area are in a stuck state; acquiring optical information of the target display area at each grayscale level based on the lamp image corresponding to each grayscale level, wherein the optical information is used to evaluate the display quality of the target display area; and / or, the optical information is used to correct the lamps within the target display area.

[0007] The fourth aspect of this application provides a display screen full grayscale optical information acquisition device, including a module for performing the display screen full grayscale optical information acquisition method described in the third aspect.

[0008] The fifth aspect of this application provides a terminal device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the above-described method for acquiring full grayscale optical information of a display screen.

[0009] A sixth aspect of this application provides a display control device, including a memory for storing correction coefficients, the correction coefficients being obtained based on optical information, the optical information being obtained based on the full grayscale optical information acquisition method for a display screen described in the third aspect; and a processor for correcting the display screen according to the correction coefficients.

[0010] A seventh aspect of this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the above-described method for acquiring full grayscale optical information of a display screen.

[0011] The eighth aspect of this application provides a computer program product that, when run on a terminal device, causes the terminal device to execute the above-described method for acquiring full grayscale optical information of a display screen.

[0012] In the embodiments of this application, the target display area of ​​the display screen can acquire lamp point images at each gray level, so as to acquire optical information at each gray level using the lamp point images at each gray level. Using the optical information, the display quality of the target display area can be evaluated and / or corrected at each gray level. This can avoid the problem that when evaluation or correction is performed only at a single gray level, the evaluation results are inaccurate or the correction effect is poor because other gray levels are inconsistent with the Mura state of that gray level. Attached Figure Description

[0013] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0014] Figure 1 This is a schematic diagram of the implementation process of a method for acquiring full grayscale optical information of a display screen provided in an embodiment of this application. Figure 1 ;

[0015] Figure 2 This is a schematic diagram of the structure of the evaluation / calibration system provided in the embodiments of this application;

[0016] Figure 3A This is an example diagram of the light spot pattern provided by the relevant technology;

[0017] Figure 3B This is an example diagram of the light dot pattern provided in the embodiments of this application;

[0018] Figure 4 This is a schematic diagram of the specific process for acquiring optical information provided in the embodiments of this application. Figure 1 ;

[0019] Figure 5 This is a schematic diagram of the specific process for acquiring optical information provided in the embodiments of this application. Figure 2 ;

[0020] Figure 6 This is a schematic diagram illustrating the specific process of full grayscale correction provided in the embodiments of this application.

[0021] Figure 7 This is a schematic diagram illustrating the specific process of full grayscale evaluation provided in the embodiments of this application;

[0022] Figure 8 This is a schematic diagram of the implementation process of a method for acquiring full grayscale optical information of a display screen provided in an embodiment of this application. Figure 2 ;

[0023] Figure 9 This is a schematic diagram of the structure of a full grayscale optical information acquisition device for a display screen provided in an embodiment of this application;

[0024] Figure 10 This is a schematic diagram of the structure of the terminal device provided in the embodiments of this application. Detailed Implementation

[0025] To make the objectives, technical solutions, and advantages of this application clearer, the following detailed description is provided in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the scope of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are protected by this application.

[0026] To facilitate understanding of this application, it will be described in more detail below based on exemplary embodiments and in conjunction with the accompanying drawings. The same or similar reference numerals are used in the drawings to denote the same or similar modules. It should be understood that the drawings are merely illustrative, and the scope of protection of this application is not limited thereto.

[0027] Research has revealed that the Mura state of current LED displays is often inconsistent under different brightness levels. Inconsistent Mura state refers to uneven brightness of the display. In related technologies, this issue is not considered when evaluating or calibrating the display. Therefore, evaluation or calibration is usually performed at a certain grayscale. However, because the Mura state of this grayscale is inconsistent with other grayscales, the evaluation results or calibration effects at other grayscales are often different from those at this grayscale. As a result, the evaluation or calibration effect of the display in related technologies is difficult to meet the needs of users.

[0028] To address the aforementioned issues, this application provides a method for acquiring full grayscale optical information of a display screen, aiming to evaluate and / or correct as many different grayscale levels of the display screen as possible.

[0029] Please refer to Figure 1 , Figure 1 This paper illustrates a flowchart of a method for acquiring full grayscale optical information of a display screen, which can be applied to various applications. Figure 2 The evaluation / calibration system 20 shown.

[0030] Please refer to Figure 2 The evaluation / calibration system 20 shown may include an acquisition device 21 and an evaluation / calibration apparatus 22. The acquisition device 21 can be used to capture images from the display screen and may be a high-definition camera, optical camera, or industrial camera, etc. The evaluation / calibration apparatus 22 can be used to process the images captured by the acquisition device 21 to perform... Figure 1The illustrated method for acquiring full grayscale optical information of a display screen acquires optical information of a target display area. This optical information can be used to evaluate and / or calibrate the display screen 24. The evaluation / calibration device 22 can be a computer (e.g., a desktop or laptop computer), a mobile terminal (e.g., a mobile phone or tablet computer), or other smart device. The evaluation / calibration device 22 can be equipped with software to achieve the function of acquiring full grayscale optical information of the display screen.

[0031] To implement the above information acquisition method, the evaluation / calibration system 20 may further include a display control device 23 for controlling the display screen 24 to turn on (on) or off (off) the individual LEDs within the display screen 24. This display control device 23 may refer to a sending card, a receiving card, or a TCON chip. In other embodiments, it may refer to a combination of a sending card and a receiving card, or a combination of a sending card or a receiving card with other processing chips / processing circuits. The display control device 23 can transmit information or instructions to the display screen 24, causing the display screen 24 to turn on or off some or all of the LEDs according to the desired pattern.

[0032] Furthermore, the display screen 24 may or may not be part of the evaluation / calibration system 20. Moreover, this application embodiment does not specifically limit the type of display screen. In some embodiments, the display screen may be an LCD display screen, an LED display screen, or an OLED display screen. Taking an LED display screen as an example, the LED display screen may be a conventional LED display screen, or it may be a microLED, miniLED, or a new type of LED in the future. Furthermore, the display screen can be packaged using SMD, COB, COG, or other novel packaging methods in the future.

[0033] Specifically, the above-mentioned method for acquiring full grayscale optical information of the display screen may include steps S101 to S104.

[0034] Step S101: Control the target display area of ​​the display screen to display in multiple gray levels.

[0035] In the embodiments of this application, the target display area of ​​the display screen can refer to a portion of the display area or the entire display area. It is understood that the target display area is typically a rectangular area. However, embodiments of this application do not exclude the possibility of using a non-rectangular area as the target display area. The display control device 23 can control the target display area of ​​the display screen to display at multiple grayscale levels.

[0036] To improve the evaluation and calibration results, this application can select several gray levels with certain differences in grayscale values. Specifically, the aforementioned multiple gray levels include i low gray levels, j medium gray levels, and k high gray levels. The grayscale values ​​of the j medium gray levels are all greater than the grayscale values ​​of each of the i low gray levels, and all are less than the grayscale values ​​of each of the k high gray levels. The values ​​of i, j, and k are all greater than or equal to 1, and the values ​​of i, j, and k can be equal or unequal. For example, based on the maximum grayscale value supported by the display screen, the range "0 to the maximum grayscale value" can be equally divided into three non-overlapping grayscale ranges. Within the range with the lowest grayscale value, i values ​​can be selected as the aforementioned "low gray levels"; within the range with the middle grayscale value, j values ​​can be selected as the aforementioned "medium gray levels"; and within the range with the highest grayscale value, k values ​​can be selected as the aforementioned "high gray levels". For example, if the maximum grayscale value that the display screen can support is 255, then i values ​​can be taken from the range of "grayscale value 0 to 85" as the i low grayscale values ​​mentioned above.

[0037] In some implementations, considering that the screen coupling degree of the target display area may be high when the gray level is low, the above i low gray levels can all be greater than the preset gray level lower limit value, that is, the gray level value of the low gray level should not be too low.

[0038] In the embodiments of this application, each grayscale level can be illuminated using either point-by-point illumination or intermittent illumination. To improve the evaluation / calibration effect, intermittent illumination is preferred. Point-by-point illumination, i.e., non-intermittent illumination, can refer to controlling all one or more colored LEDs within the target display area to be illuminated. Specifically, the target display area can be provided with pixels, and each pixel can include one or more LEDs (or pixel lights). Taking an LED display screen as an example, one pixel of an LED display screen can include three LEDs: red, green, and blue; or, it can include four LEDs: red, green, green, and blue. It should be understood that in other embodiments, a pixel can also be composed of LEDs of more colors, and this application does not limit this. Correspondingly, point-by-point illumination can simultaneously illuminate all red LEDs within the target display area, simultaneously illuminate all blue LEDs within the target display area, simultaneously illuminate all green LEDs within the target display area, simultaneously illuminate red and blue LEDs within the target display area, simultaneously illuminate red, blue, and green LEDs within the target display area, and so on.

[0039] Step S102: Adjust the acquisition parameters of the acquisition device so that at least some of the light points in the target display area are in a state of adhesion.

[0040] In the embodiments of this application, the acquisition device 21 can acquire images of the target display area. The acquired light spot image includes the imaging of the light spots within the target display area, and at least some of the light spots within the target display area are in a state of "adhesion" in the light spot image. "At least some of the light spots are in a state of "adhesion" in the light spot image" means that there are no obvious dark bands between adjacent light spots (i.e., no areas with almost zero luminous flux). From the perspective of human observation, although the approximate location of the light spot (or the center of the light spot) can be identified from the light spot image, there are no clear boundaries between adjacent light spots, giving the overall impression of a somewhat blurry image.

[0041] Figure 3A and Figure 3B Schematic diagrams are shown of light spot images obtained using related techniques and the light spot images provided in this application, respectively. From Figure 3A As can be seen, the light spots are separated by a wide dark band 31. Due to the presence of dark band 31, the imaging of adjacent light spots does not interfere with each other. Imaging a single light spot requires a relatively large number of pixels, typically 7×7 pixels. From... Figure 3B It can also be seen that the signal strength between adjacent light points exhibits a process of decreasing strength and then increasing again (signal strength at...). Figure 3B (It is represented by shades of color), but there are no obvious dark bands between the light spots. Through comparison... Figure 3A and Figure 3B It can be seen that, Figure 3B In this case, the number of pixels corresponding to a single light point is even smaller. For example, based on the light point image provided in the embodiments of this application, the number of pixels corresponding to a single light point can be reduced to 2.8 × 2.8 pixels, or even lower.

[0042] The imaging of adjacent light points is in a state of overlap, which may include adjacent imaging of adjacent light points and / or overlapping imaging of adjacent light points. If the imaging of adjacent light points is in a state of overlap, the degree of overlap of the imaging of adjacent light points in the light point image can be adjusted based on accuracy, efficiency, etc. As an example, the degree of overlap of the imaging of adjacent light points in the light point image can be between 10% and 80%. For example, the degree of overlap of the imaging of adjacent light points in the light point image can be between 20% and 30%.

[0043] In a light spot image, the position of the light spot is related to its DN (Digital Number) value, brightness value, or grayscale value. Based on this relationship, a waveform diagram of the light spot can be plotted. The waveform diagram of the light spot can, for example, be used to characterize the spatial light distribution curve of the light spot. As an example, the horizontal axis of the waveform diagram can be used to characterize the position of the light spot, and the vertical axis can be used to characterize the DN value, brightness value, or grayscale value of the light spot. From the perspective of the waveform diagram, the imaging of adjacent light spots being in a state of overlap can include: in the waveform diagram, the waveform curves of adjacent light spots are connected end-to-end or overlap with each other. As an example, the difference between the maximum and minimum brightness in the light spot image is between 10% and 50%; and / or, the difference between the maximum and minimum grayscale in the light spot image is between 10% and 50%; and / or, the difference between the maximum and minimum DN value in the light spot image is between 10% and 50%.

[0044] To achieve the aforementioned effect of light spot adhesion, the acquisition parameters of the acquisition device 21 need to be adjusted. For example, one or more of the parameters of the acquisition device 21, such as aperture, exposure time, focal length (zoom lens), and macro focus, can be adjusted to cause the imaging of at least some light spots in the target display area to diverge or contract, thereby causing the imaging of at least some light spots in the target display area to be in an adhesion state.

[0045] It should be understood that, in addition to adjusting the acquisition parameters to make the image in a sticky state, it is also necessary to adjust one or more of the following parameters of the acquisition device 21: image clarity, peak value of light spots, and proportion of light spots to meet the requirements. These will not be elaborated in this application.

[0046] Furthermore, the embodiments of this application do not specifically limit the order of steps S101 and S102. For example, the lights in the target display area can be lit first, and then the acquisition parameters can be adjusted so that the images of at least some of the lights in the target display area are in a state of adhesion. Alternatively, the acquisition parameters can be adjusted first based on experience or based on test images, and then the lights in the target display area can be lit.

[0047] In the embodiments of this application, there are various ways to determine whether the adjustment of the acquisition parameters meets the requirements (i.e., whether the adjusted acquisition parameters cause at least some of the lamp points in the target display area to be in a state of overlap). For example, corresponding preset ranges can be set for the degree of overlap of the lamp point images in the target display area, the difference between the maximum and minimum brightness, the difference between the maximum and minimum grayscale, and / or the difference between the maximum and minimum DN values. Then, by adjusting the acquisition parameters, the degree of overlap of the lamp point images acquired by the acquisition device 21, the difference between the maximum and minimum brightness, the difference between the maximum and minimum grayscale, and / or the difference between the maximum and minimum DN values ​​fall within the corresponding preset ranges. Once the degree of overlap of the lamp point images, the difference between the maximum and minimum brightness, the difference between the maximum and minimum grayscale, and / or the difference between the maximum and minimum DN values ​​fall within the corresponding preset ranges, it can be considered that the adjustment of the acquisition parameters has met the requirements.

[0048] Step S103: After the acquisition parameters are adjusted, control the acquisition device to take pictures of the target display area to obtain the light spot image corresponding to each gray level in multiple gray levels of the target display area.

[0049] In some embodiments, the light spot image may be an image formed by illuminating one or more light spots of certain colors within the target display area (such as a solid color image). For example, the light spot image may include one or more of the following images: a green light image formed by illuminating green light spots within the target display area, a red light image formed by illuminating red light spots within the target display area, a blue light image formed by illuminating blue light spots within the target display area, and a mixed color image formed by illuminating light spots of at least two colors within the target display area.

[0050] It should be understood that by adjusting the acquisition device 21 in step S102 and using the acquisition device 21 to capture images of the target display area, an image of at least some of the light points in a state of adhesion can be obtained.

[0051] Step S104: Obtain the optical information of the target display area at each gray level based on the light spot image corresponding to each gray level.

[0052] Specifically, the optical information of the target display area can be used to evaluate the display quality of the target display area at the corresponding grayscale; and / or to correct the lamp points within the target display area at the corresponding grayscale. In other words, the optical information can be information used to evaluate the display quality of the target display area at the corresponding grayscale, and / or information used to correct the target display area at the corresponding grayscale.

[0053] In some embodiments, the aforementioned "information for evaluating the display quality of the target display area" may include: optical information (or luminous color information) of the target display area. As an example, this optical information may include one or more of the following: luminous flux information, luminance information, and chromaticity information. Luminous flux information can be used to characterize the luminous flux per unit area within the target display area. Luminance information can be used to characterize the brightness of the target display area. Chromaticity information can be used to characterize the hue and / or saturation of the colors in the target display area.

[0054] In some embodiments, the aforementioned "information for evaluating the display quality of the target display area" may include: evaluation information on the display quality of the target display area. This evaluation information can be used to indicate the display status, display quality, or display effect of the target display area, or to evaluate whether the target display area has display defects. For example, this evaluation information can be used to indicate whether the brightness and / or chromaticity of the target display area is uniform (the brightness and / or chromaticity mentioned here may refer to brightness and / or chromaticity at one or more gray levels). This evaluation information can be calculated based on the optical information mentioned above. For example, the brightness information of the target display area at a certain gray level can be calculated based on the lamp image captured by the camera, and then the brightness uniformity of the corresponding display area can be determined based on the calculated brightness information. To support the evaluation of the display quality of the target display area, a defect evaluation module for the display screen (such as a uniformity evaluation module) can be installed in the software system of the evaluation / calibration device 22. If it is desired to obtain the evaluation information on the display quality of the target display area, the lamp image captured by the camera can be input into the defect evaluation module.

[0055] In some embodiments, the "information for correcting the target display area" mentioned above may include optical information of part or all of the display area of ​​the screen. As an example, the optical information may include one or more of the following: luminous flux information, brightness information, and chromaticity information.

[0056] In some embodiments, the aforementioned "information for correcting the target display area" may include: correction information for the display quality of the target display area. This correction information can be used to correct the target display area. For example, the correction information can be used to correct the brightness and / or chromaticity of the target display area. This evaluation information can be calculated based on the optical information mentioned above. For example, the brightness information of the target display area at a certain grayscale can be calculated based on the lamp image captured by the camera, and then the correction information of the target display area can be determined based on the calculated brightness information. To support the correction of the target display area, a correction module can be installed in the software system of the evaluation / correction device. If the correction information of the target display area is desired, the lamp image captured by the camera can be input into the correction module.

[0057] It should be noted that, since this application requires acquiring the optical information of the target display area at each grayscale, in some embodiments, the lamp images at all grayscales can be acquired first, and then the acquired lamp images can be used to acquire the optical information at the corresponding grayscale. Alternatively, after acquiring the lamp image and optical information at a certain grayscale, the lamp image and optical information at the next grayscale can be acquired, and the acquisition of optical information can be completed grayscale by grayscale. This application does not impose any restrictions on this.

[0058] In the embodiments of this application, the target display area of ​​the display screen can acquire lamp point images at each gray level, so as to acquire optical information at each gray level using the lamp point images at each gray level. Using the optical information, the display quality of the target display area can be evaluated and / or corrected at each gray level. This can avoid the problem that when evaluation or correction is performed only at a single gray level, the evaluation results are inaccurate or the correction effect is poor because other gray levels are inconsistent with the Mura state of that gray level.

[0059] Furthermore, this embodiment adjusts the acquisition parameters so that at least some of the light points within the target display area are in a state of adhesion. In this light point image, the imaging area of ​​the light points in the adhesion state does not have obvious dark bands. In other words, the pixel value of each pixel in this light point imaging area contains useful optical information. In the subsequent optical information calculation process, the pixel information of each pixel will be fully utilized and will not be discarded like pixels in dark bands. This improves the pixel utilization rate of the acquisition device, enabling the acquisition device to capture a larger display area at once and improving the thermal compensation correction efficiency of the display screen.

[0060] In practical applications, a display screen can include multiple splicing units. Taking an LED display screen as an example, the screen can be composed of multiple LED light boxes spliced ​​together. Due to limitations in machining precision, assembly precision, and other technological constraints, at the splicing points, the distance between the light points at the edges of adjacent splicing units may be greater or less than the distance between light points in other areas, thus forming gaps (or seams). The luminous density of the light points at the gaps may differ from the luminous density of the light points in other areas. Compared with the light point images based on dark bands used in related technologies, the light point images used in this application embodiment include not only the information of the light points but also the gap information between the splicing units. Therefore, this light point image can reflect not only the display quality of the light points but also the impact of the gaps on the display quality. Thus, the obtained thermal compensation coefficient can be used not only to correct the light points but also to correct the gaps, combining light point correction and gap correction into one, further improving the correction efficiency of the display screen.

[0061] In some implementations, this application may use an iterative correction method when correcting the target display area.

[0062] Specifically, the target display area can be controlled to display at the current gray level among multiple gray levels. After the acquisition parameters are adjusted, the acquisition device can be controlled to capture an image of the target display area at the current gray level to obtain a lamp point image of the target display area at the current gray level. Correspondingly, step S104 may include: determining the optical information of the target display area at the current gray level based on the lamp point image at the current gray level, and correcting the lamp points in the target display area based on the optical information at the current gray level. Then, the process returns to the steps of "controlling the acquisition device to capture an image of the target display area at the current gray level to obtain a lamp point image of the target display area at the current gray level" and "determining the optical information of the target display area at the current gray level based on the lamp point image at the current gray level, and correcting the lamp points in the target display area based on the optical information at the current gray level" until the number of corrections of the lamp points in the target display area at the current gray level reaches a threshold, or until the lamp points in the target display area meet the correction completion condition at the current gray level.

[0063] The number of calibration attempts and the calibration completion conditions can be set according to actual needs. "Calibration completion conditions" can refer to the uniformity, brightness, chromaticity, and / or other parameters of the target display area meeting the user's requirements. In other words, when calibrating the target display area, multiple calibration cycles can be performed at the current grayscale until a certain number of calibrations are reached, or until the display effect of the target display area meets the user's needs after calibration. By performing multiple calibration cycles, the calibration effect of the target display area at the current grayscale can be improved.

[0064] In some implementations, after completing the calibration at the current grayscale, the target display area can be controlled to illuminate point by point at the next grayscale. Then, the acquisition parameters are adjusted so that at least some of the light points within the target display area are in a state of image congruence. After the acquisition parameters are adjusted, the acquisition device is controlled to capture an image of the target display area, obtaining the light point image corresponding to the target display area at the next grayscale. Based on the light point image corresponding to the next grayscale, the optical information of the target display area at the next grayscale is determined. Furthermore, the display screen can be calibrated based on the optical information at the next grayscale. This process can be repeated to perform display screen calibration at each grayscale.

[0065] For example, after multiple corrections at the "current gray level" with a gray level value of 25, the corrected target display area can be used to perform corrections at the "next gray level" with a gray level value of 30. After the correction is completed, the correction can continue at the gray level with a gray level value of 35 until the corrections at all gray levels are completed.

[0066] Please see Figure 1Step S104 describes acquiring optical information based on the lamp point image corresponding to each grayscale level. There are various ways to implement step S104; the following describes in detail, with reference to an embodiment, how to acquire full grayscale optical information of the display screen.

[0067] Before acquiring optical information using the lamp point images at each grayscale level, it is generally necessary to first locate the lamp points, that is, determine the position of the lamp points within the target display area in the lamp point image, or in other words, determine the correspondence between the lamp points within the target display area and the pixels in the lamp point image. Then, based on the pixels corresponding to each lamp point, the optical information corresponding to each lamp point can be determined, thereby determining the optical information of the target display area.

[0068] There are several methods for locating light points. For example, a template for the pixels corresponding to each light point can be pre-defined. Then, based on this template, the pixels corresponding to each light point can be extracted from the light point image at each grayscale level through template matching. Next, the optical information corresponding to each light point can be obtained based on the pixels corresponding to each light point. Alternatively, an edge detection algorithm can be used to calculate the pixels corresponding to each light point in the light point image at each grayscale level, and then the optical information corresponding to each light point can be obtained based on the pixels corresponding to each light point.

[0069] In addition to the methods described above, this application also proposes another method for lamp location.

[0070] The "light arrangement information of the target display area" can be used to indicate the arrangement method and / or position of the indicator lights within the target display area. For example, the light arrangement information of the target display area can indicate the number of rows / columns of lights contained in the target display area, thereby indicating the arrangement method or position of the lights within the target display area. Since the target display area is known, the "light arrangement information of the target display area" is actually a kind of prior information that can be known in advance.

[0071] Taking a rectangular target display area as an example, the lamp arrangement information of the target display area can refer to the resolution information of that target display area. For example, assuming the resolution of the target display area is 1920×1080, and the lamp image at each grayscale level is the image formed after all the red lamps in the target display area are lit, then the resolution information of the target display area can be directly used as the lamp arrangement information. This resolution information can indicate that there are 1920 rows of lamps arranged in the row direction and 1080 columns of lamps arranged in the column direction of the target display area. Since the lamps are generally evenly distributed, this lamp arrangement information is equivalent to indicating the specific position of each lamp in the lamp image at each grayscale level. After simple calculation, the position of each lamp can be determined. For example, the image can be evenly divided into 1920×1080 pixel areas according to the resolution, and then each pixel area can represent the position of one lamp.

[0072] The following text combines Figure 4 The process of extracting optical information of the target display area from the lamp image based on the lamp arrangement information is illustrated in more detail with examples.

[0073] Step S401: Based on the light spot arrangement information of the target display area, determine the correspondence between the light spots in the target display area and the pixels in the light spot image at each gray level.

[0074] The light spot image at each grayscale level refers to the light spot image at each of the multiple grayscale levels obtained through steps S101 to S103. For example, if the light spot arrangement information indicates that there are 2k×1k light spots arranged in the target display area, and assuming that the light spot image at each grayscale level contains 6k×3k pixels, then one light spot in the target display area corresponds to 3×3 pixels at the corresponding position in the light spot image. Alternatively, the light spot image can be sampled based on the light spot arrangement information of the target display area, so that the pixels in the sampled image correspond one-to-one with the light spots in the target display area. In this way, the optical information of each pixel in the sampled image can be directly used as the optical information of the light spot corresponding to that pixel in the target display area. As a specific example, if the light spot arrangement information indicates that the target display area contains 2k×1k light spots, and the light spot image contains 6k×3k pixels, then the light spot image at each grayscale level can be sampled first, so that the light spot image contains 2k×1k pixels. After this sampling operation, a light spot in the target display area corresponds to a pixel at the corresponding position in the light spot image, which simplifies the subsequent calculation of optical information.

[0075] It should be understood that there are multiple sampling methods for the light spot image mentioned above. For example, the average sampling (such as mean downsampling) can be performed on adjacent pixels in the light spot image, or the adjacent pixels of the pixel at the sampling center position can be directly discarded. As an example, the average downsampling can be performed on each column of pixels in the light spot image in the column direction, so that the number of pixels in each column is sampled to the same resolution as the height direction of the target display area; then, the average downsampling can be performed on each row of pixels in the row direction, so as to obtain a light spot image with the same resolution as the target display area. As another example, the average downsampling can be performed on each row of pixels in the row direction, so that the number of pixels in each row is sampled to the same resolution as the width direction of the target display area; then, the average downsampling can be performed on each column of pixels in the column direction, so as to obtain a light spot image with the same resolution as the target display area. As yet another example, the average downsampling can be performed on both the row and column directions of the light spot image simultaneously until a light spot image with the same resolution as the target display area is obtained.

[0076] In step S402, the optical information corresponding to the light points in the target display area is determined based on the correspondence between the light points in the target display area and the pixels in the light point image at each gray level.

[0077] For example, the luminance information of the pixel corresponding to a certain light point in the light point image at each grayscale level can be directly used as the luminance information of that light point. Similarly, the chromaticity information of the pixel corresponding to a certain light point in the light point image at each grayscale level can be directly used as the chromaticity information of that light point. Likewise, the luminous flux information of the pixel corresponding to a certain light point in the light point image at each grayscale level can be directly used as the luminous flux information of that light point.

[0078] In step S403, the optical information of the target display area is obtained based on the optical information corresponding to the light points in the target display area.

[0079] In other embodiments of this application, the target display area can be divided into multiple partitions, and the position information of the multiple partitions in the light spot image can be obtained. Then, the optical data corresponding to each partition can be extracted separately. Since the deformation of each region due to perspective changes after partitioning is relatively small compared to the entire target display area, extracting optical data based on partitions will improve the accuracy of information extraction.

[0080] Specifically, after the acquisition equipment is calibrated, it can be used to additionally capture calibration images of the target display area when the calibration pattern is displayed. This calibration pattern can be used to divide the target display area into multiple zones. Since the lamp point image and the calibration pattern are images captured under the same acquisition parameters and on the same display area (i.e., the target display area), the distortions in the two images are identical. Therefore, based on the positional information of the multiple zones contained in the calibration pattern, the positions of these multiple zones in the lamp point image are accurately located. The number of zones into which the target display area is divided by the calibration pattern and the size of each zone can be set according to actual conditions.

[0081] Specifically, after the acquisition equipment is calibrated, it can be used to additionally capture calibration images of the target display area when the calibration pattern is displayed. This calibration pattern can be used to divide the target display area into multiple zones. Since the lamp point image and the calibration pattern are images captured under the same acquisition parameters and on the same display area (i.e., the target display area), the distortions in the two images are identical. Therefore, based on the positional information of the multiple zones contained in the calibration pattern, the positions of these multiple zones in the lamp point image are accurately located. The number of zones into which the target display area is divided by the calibration pattern and the size of each zone can be set according to actual conditions.

[0082] Since the positions of different colored light points are different, different calibration patterns corresponding to different colored light points can make the positioning more accurate. In some embodiments, the light point image under a single grayscale can include a first light point image and a second light point image. The first light point image and the second light point image correspond to light points of different colors within the target display area. Accordingly, the calibration pattern can include a first light point pattern corresponding to the first light point image and a second calibration pattern corresponding to the second light point image. The first calibration pattern and the second calibration pattern are different. Specifically, depending on the different positions of the light points of different colors, the first calibration pattern can be a pattern with a certain positional offset from the second calibration pattern. The positional offset between the first calibration pattern and the second calibration pattern can be the same as the positional offset between corresponding light points of two colors within the same pixel.

[0083] For example, the first light spot image can be a red light spot image, and the second light spot image can be a blue light spot image. The red light spot image is paired with a red calibration pattern, and the optical information of the red light spot is obtained based on the red calibration pattern and the red light spot image. Similarly, the blue light spot image is paired with a blue calibration pattern, and the optical information of the blue light spot is obtained based on the blue calibration pattern and the blue light spot image. Likewise, if it is necessary to obtain the optical information of light spots displaying a mixed color in the target display area, a mixed color calibration pattern can be used.

[0084] It should be understood that the order in which the calibration pattern is displayed and the pattern used to extract optical information is displayed in the target display area is not limited in this application.

[0085] In some embodiments, the calibration pattern may include patterns corresponding to multiple partitions within the target display area. By displaying multiple partitions of the target display area, the calibration pattern allows for the location of these partitions within the light spot image. The multiple patterns corresponding to each partition in the calibration pattern can be alternating light and dark patterns. Alternating light and dark patterns are beneficial for accurately identifying the boundaries of each partition. For example, if the target display area has a resolution of 1920*1080, the screen can be displayed in a checkerboard pattern. For example, by displaying the green light spots in the target display area point by point to obtain a green light spot image, a green and black checkerboard pattern can be obtained, where each checkerboard cell can, for example, include 64*60 pixels.

[0086] Besides a checkerboard pattern, the marking pattern can also be one or more combinations of the following: crosshairs, Aruco codes, special lines, dots, and grids. The special lines can be several vertical lines; for example, displaying three vertical lines in the target display area divides the screen's display area into four zones. The Aruco codes are binary codes, which can be understood as a rectangular code composed of only two colors. The dots are a pattern composed of multiple dots.

[0087] like Figure 5 As shown, the process of extracting optical data based on partitions may include the following steps S501 to S503.

[0088] Step S501: After the acquisition parameters are adjusted, the target display area of ​​the control screen displays a calibration pattern in the target grayscale.

[0089] Step S502: Control the acquisition device to capture images of the target display area to obtain a calibration image of the target display area in the target grayscale.

[0090] In other words, after the acquisition parameters are adjusted, the target display area can be controlled to present a calibration pattern in the target grayscale, and the acquisition device can be controlled to capture the calibration pattern. For a description of the acquisition parameter adjustment, please refer to steps S101 and S102 above.

[0091] Step S503: Based on the calibration pattern in the calibration image, divide the light spot image under each gray level into multiple images corresponding to multiple partitions.

[0092] Step S504: Based on multiple images, determine the optical information corresponding to each of the multiple partitions.

[0093] For example, if the calibration pattern contains location information for multiple zones, the light spot image at each grayscale level can be divided into multiple images based on this location information, so that each image represents a zone. Based on these multiple images, the optical information corresponding to each zone is determined; and based on the optical information corresponding to the multiple zones, the optical information of the target display area is obtained.

[0094] It should be noted that the target grayscale mentioned above can be any one or any combination of multiple grayscale levels. In other words, the obtained calibration image can be a calibration image at any one or any combination of grayscale levels.

[0095] It should be understood that when acquiring images of light sources at multiple gray levels, the brightness varies across different gray levels. Therefore, the acquisition parameters of the acquisition device can be adjusted to adapt to changes in brightness each time a calibration image is acquired. Adjusting different acquisition parameters may alter the imaging state of the light source. Assuming the acquisition parameters adjusted when acquiring an image of a light source at a certain gray level are target parameters, then when acquiring calibration images, a calibration image corresponding to the same acquisition parameters at that gray level should also be acquired. Here, the target parameter refers to the parameter that causes the change in the imaging state of the light source, such as aperture or macrofocus. Conversely, if the acquisition parameters adjusted when acquiring an image of a light source at a certain gray level are non-target parameters, such as exposure time, then only one calibration image needs to be acquired for all gray levels where these non-target parameters are adjusted, because the resulting calibration images are approximately identical. Of course, to improve accuracy, a corresponding calibration image can also be acquired for each gray level.

[0096] To reduce the number of calibration image acquisitions, non-target parameters can be used whenever the acquisition device is adjusted. For example, when acquiring the lowest grayscale among multiple gray levels, the exposure time of the acquisition device can be a preset lower limit. When acquiring the second lowest grayscale, the exposure time can be increased. This process continues until the exposure time reaches a preset upper limit, at which point the aperture or macro focus is adjusted. In this case, the multiple grayscale levels correspond to at least two calibration images. Grayscale levels below a first grayscale threshold correspond to the first calibration image among the at least two calibration images, and grayscale levels greater than or equal to the first grayscale threshold correspond to the second calibration image among the at least two calibration images. The acquisition parameters of the acquisition device are different when acquiring the first and second calibration images; specifically, the target acquisition parameters may be different.

[0097] Accordingly, in step S503, the light spot images at gray levels below the first gray level threshold can be divided into multiple images corresponding to multiple partitions based on the calibration pattern in the first calibration image. Similarly, the light spot images at gray levels greater than or equal to the first gray level threshold can be divided into multiple images corresponding to multiple partitions based on the calibration pattern in the second calibration image.

[0098] This embodiment transforms the task of determining the optical information of the target display area based on the light spot image into multiple sub-tasks, where each sub-task determines the optical information corresponding to a partition within the target display area. Then, this embodiment can aggregate the optical information corresponding to each partition to obtain the optical information of the target display area. Since the deformation corresponding to each partition is relatively small, dividing the target display area into multiple partitions and extracting optical information on a partition-by-partition basis can reduce the impact of deformation caused by the acquisition device on the accuracy of the acquired optical information.

[0099] It should be noted that there are multiple ways to implement step S504 above. For ease of description, the following description will take the first partition among multiple partitions (which can be any one of the multiple partitions, and the first partition corresponds to the first image among the multiple images divided in the lamp point image) as an example.

[0100] Before acquiring optical information from the first image, it is generally necessary to locate the light sources first, that is, to determine the position of the light sources within the first partition in the first image, or in other words, to determine the correspondence between the light sources within the first partition and the pixels in the first image. Then, based on the pixels corresponding to each light source, the optical information corresponding to each light source can be determined.

[0101] There are several ways to locate light points within a partition. For example, a template for the pixels corresponding to each light point can be pre-defined. Then, based on this template, the pixels corresponding to each light point can be extracted from the first image through template matching. Finally, the optical information corresponding to each light point can be obtained based on the pixels corresponding to each light point. Alternatively, an edge detection algorithm can be used to calculate the pixels corresponding to each light point in the first image, and then the optical information corresponding to each light point can be obtained based on the pixels corresponding to each light point.

[0102] In addition to the methods described above, this application also proposes a simple and efficient light point positioning method, namely, a light point positioning method based on the light point layout information of the first zone. The "light point layout information of the first zone" can be used to indicate the layout method and / or position of the indicator lights within the first zone. For example, the light point layout information of the first zone can indicate the number of rows / columns of the lights contained in the first zone, thereby indicating the layout method or position of the lights within the first zone. Since the first zone is known, the "light point layout information of the first zone" is actually a kind of prior information obtained in advance.

[0103] Taking a rectangular area as an example, the light distribution information of the first partition can refer to the resolution information of that partition. For instance, assuming the resolution of the first partition is 480×270, and the first image is formed after all the red lights in the first partition are lit, the resolution information of the first partition can be directly used as the light distribution information. This resolution information indicates that there are 480 rows of lights arranged in the row direction and 270 columns of lights arranged in the column direction of the first partition. Since the lights are generally evenly distributed, this resolution information is equivalent to indicating the specific position of each light in the first image. After simple calculation, the light location can be completed. Compared with methods such as template matching and edge detection, this light location method is simpler and more efficient.

[0104] Specifically, based on the lamp layout information of the first zone, the correspondence between the lamps in the first zone and the pixels in the first image can be determined. Based on this correspondence, the optical information corresponding to the lamps in the first zone can be determined.

[0105] For example, if the light distribution information for the first partition indicates that there are 640×360 light points within the first partition, and the first image contains 1920×1080 pixels, then one light point in the first partition corresponds to a 3×3 pixel location in the corresponding position of the light point image. Alternatively, the first image can be sampled based on the light distribution information for the first partition, so that the pixels in the sampled image correspond one-to-one with the light points in the first partition. In this way, the optical information of each pixel in the sampled image can be directly used as the optical information of the corresponding light point in the first partition. As a concrete example, if the light distribution information for the first partition indicates that the first partition contains 640×360 light points, and the first image contains 1920×1080 pixels, then the first image can be sampled first, so that the first image contains 640×360 pixels. After this sampling operation, one light point in the first partition corresponds to a pixel at a corresponding position in the first image. Based on this one-to-one correspondence, the subsequent calculation of optical information can be simplified.

[0106] At this point, the brightness information of the pixel corresponding to a certain light point in the first image can be directly used as the brightness information of that light point. Similarly, the chromaticity information of the pixel corresponding to a certain light point in the first image can be directly used as the chromaticity information of that light point. Likewise, the luminous flux information of the pixel corresponding to a certain light point in the first image can be directly used as the luminous flux information of that light point.

[0107] In practical applications, considering that the imaging of the acquisition device 22 has a certain degree of distortion, in some embodiments, the light spot image can also be transformed (such as by perspective transformation) to make it into a non-tilted rectangle.

[0108] Furthermore, the adjustment of acquisition parameters can be completed through the image preview interface of the acquisition device. For example, the software system in the thermal compensation calibration unit can be used to present the image preview interface of the acquisition device to assist evaluation and / or calibration personnel in adjusting the acquisition device parameters. This image preview interface can display a preview image of the light points. If the light point images in the preview image are not in a state of overlap, the evaluation and / or calibration personnel can adjust the acquisition parameters in this image preview interface until the images between the light points are overlapped. The image preview interface can also display indicator information, which can be used to indicate the size that the preview image of the light point should reach, or to indicate the minimum size of the preview image, to prompt the evaluation and / or calibration personnel to control the size of the preview image within an appropriate range. When the evaluation and / or calibration personnel find that the preview image does not meet the requirements of the indicator information, they can adjust the distance between the acquisition device and the display screen (or adjust the focal length or microfocus of the acquisition device) until the size of the light point image meets the requirements.

[0109] The following is combined Figure 6 and Figure 7 Specific examples of full grayscale correction and full grayscale evaluation are given. Figure 6 and Figure 7 The examples described can be derived from Figure 1 The system shown is executing. Note that... Figure 6 and Figure 7 The examples described are merely to help those skilled in the art understand the embodiments of this application, and are not intended to limit the embodiments of this application to the specific numerical values ​​or specific scenarios illustrated. Those skilled in the art will obviously be able to make various equivalent modifications or variations based on the given examples, and such modifications or variations also fall within the scope of the embodiments of this application.

[0110] See Figure 6 See Figure 6In step S601, the target display area of ​​the screen is controlled to display red, green, and blue LED images at multiple grayscale levels. In other words, the screen can be controlled to sequentially illuminate red, green, and blue pure colors at multiple grayscale levels. The grayscale levels can be set according to customer requirements.

[0111] Step S602: Control the camera to acquire images of the LED dots in the target display area at each grayscale level, and generate luminous flux information corresponding to each LED dot on the display screen at each grayscale level. Specifically, before acquiring the LED dot images, adjust the camera so that the images of the LED dots appear to be in a connected state. Then, use the camera to acquire brightness information. Next, the image shape of the LED dot images can be straightened by perspective transformation, and the LED dot images can be downsampled to make the resolution of the LED dot images the same as the resolution of the LED display screen. After downsampling the LED dot images, the luminous flux information corresponding to each LED dot in the LED display screen can be calculated based on the one-to-one correspondence between the LED dot images and the LED dots.

[0112] Step S603: Based on the luminous flux information corresponding to each gray level of the lamp point, the brightness of the target display area is corrected at the corresponding gray level.

[0113] See Figure 7 In step S701, the target display area of ​​the control screen displays red light dot images, green light dot images, and blue light dot images respectively in multiple gray levels.

[0114] Step S702: Control the camera to acquire images of the light points in the target display area at each gray level, and generate luminous flux information of the light points on the display screen at each gray level.

[0115] The steps S701 and S702 can be referred to the descriptions of steps S601 and S602, and will not be repeated in this application.

[0116] Step S703: Based on the luminous flux information corresponding to each gray level of the lamp point, perform uniformity evaluation on the brightness of the target display area at each gray level to obtain uniformity evaluation results.

[0117] Please refer to Figure 8 , Figure 8 This describes the method for acquiring full grayscale optical information of a display screen provided in the embodiments of this application from the perspective of software code or processor. Figure 8 The method shown can be executed, for example, by the processor or software system of the evaluation / calibration device mentioned above. Figure 8 The relevant concepts in the method have been explained in detail above and will not be repeated here.

[0118] See Figure 8The method includes steps S801 and S802.

[0119] Step S801: Obtain the image of the lamp points corresponding to each gray level in multiple gray levels of the target display area of ​​the display screen. The target display area is part or all of the display area of ​​the display screen, and at least some of the lamp points within the target display area are in a state of image adhesion.

[0120] Step S802: Based on the lamp point image corresponding to each grayscale, obtain the optical information of the target display area at each grayscale. This optical information can be used to evaluate the display quality of the target display area; and / or, this optical information can be used to correct the lamp points within the target display area.

[0121] In some embodiments, the multiple gray levels include i low gray levels, j medium gray levels, and k high gray levels, wherein the gray level values ​​of the j medium gray levels are all greater than the gray level values ​​of each of the i low gray levels and are all less than the gray level values ​​of each of the k high gray levels, and the values ​​of i, j, and k are all greater than or equal to 1.

[0122] In other embodiments, the preset lighting method can be to simultaneously light up at least two types of lights, including red, green and blue lights.

[0123] In some embodiments, the steps of "acquiring the lamp image of the target display area at the current gray level in multiple gray levels" and "determining the optical information of the target display area at the current gray level based on the lamp image at the current gray level, and correcting the lamps in the target display area based on the optical information at the current gray level" can be returned until the number of corrections of the lamps in the target display area at the current gray level reaches a threshold, or until the lamps in the target display area meet the correction completion condition at the current gray level.

[0124] In some embodiments, after completing the correction at the current gray level, the lamp image of the target display area at the next gray level in the plurality of gray levels can also be obtained; and the optical information of the target display area at the next gray level can be determined based on the lamp image at the next gray level.

[0125] In some embodiments, the imaging of at least some of the light spots arranged in the target display area in the light spot image being in a stuck state may include: the imaging of adjacent light spots in the light spot image being in a close-up state or an overlapping state.

[0126] In some embodiments, the degree of overlap of the images of adjacent light spots in the light spot image is between 10% and 80%.

[0127] In some embodiments, the difference between the maximum and minimum brightness in the light spot image is between 10% and 50%; and / or, the difference between the maximum and minimum grayscale in the light spot image is between 10% and 50%; and / or, the difference between the maximum and minimum DN value in the light spot image is between 10% and 50%.

[0128] In some embodiments, the target display area includes multiple splicing units, and optical information is also used to correct the gaps between the multiple splicing units.

[0129] In some embodiments, the optical information includes correction information for the light spots within the target display area, and the correction information for the light spots is also used to correct the gaps between multiple splicing units.

[0130] In some embodiments, step S802 may include: obtaining optical information from the light spot image based on the light spot arrangement information of the target display area.

[0131] In some embodiments, obtaining optical information from the lamp image based on the lamp arrangement information of the target display area may include: determining the correspondence between the lamps in the target display area and the pixels in the lamp image based on the lamp arrangement information of the target display area; determining the optical information corresponding to the lamps in the target display area based on the correspondence between the lamps in the target display area and the pixels in the lamp image; and obtaining the optical information of the target display area based on the optical information corresponding to the lamps in the target display area.

[0132] In some embodiments, determining the correspondence between the light spots in the target display area and the pixels in the light spot image based on the light spot arrangement information of the target display area may include: sampling the light spot image based on the light spot arrangement information of the target display area, so that the pixels in the sampled image correspond one-to-one with the light spots in the target display area.

[0133] In some embodiments, Figure 8 The method may further include: acquiring a calibration pattern presented in the target display area, the calibration pattern being used to locate the positions of multiple partitions within the target display area in the lamp point image; step S802 may include: acquiring optical information based on the lamp point image and the calibration pattern.

[0134] In some embodiments, the plurality of gray levels correspond to at least two calibration images, the gray levels less than a first gray level threshold among the plurality of gray levels correspond to the first calibration image among the at least two calibration images, and the gray levels greater than or equal to the first gray level threshold among the plurality of gray levels correspond to the second calibration image among the at least two calibration images, wherein the acquisition parameters of the acquisition device are different when acquiring the first calibration image and when acquiring the second calibration image.

[0135] In some embodiments, the light spot image includes a first light spot image and a second light spot image, the first light spot image and the second light spot image corresponding to light spots of different colors within the target display area, and the calibration pattern includes a first light spot pattern corresponding to the first light spot image and a second calibration pattern corresponding to the second light spot image, wherein the first calibration pattern and the second calibration pattern are different.

[0136] In some embodiments, the calibration pattern includes multiple patterns corresponding to multiple partitions, and the multiple patterns are alternating light and dark patterns.

[0137] In some embodiments, the plurality of partitions are all rectangular in shape.

[0138] In some embodiments, obtaining optical information based on the lamp point image and the calibration pattern may include: dividing the lamp point image into multiple images corresponding one-to-one with multiple partitions according to the calibration pattern; determining the optical information corresponding to the multiple partitions according to the multiple images; and obtaining the optical information according to the optical information corresponding to the multiple partitions.

[0139] In some embodiments, the plurality of images includes a first image, the plurality of partitions includes a first partition corresponding to the first image, and determining the optical information corresponding to the plurality of partitions based on the plurality of images may include: determining the correspondence between the light points in the first partition and the pixels in the first image based on the light point arrangement information of the first partition; and determining the optical information corresponding to the light points in the first partition based on the correspondence between the light points in the first partition and the pixels in the first image.

[0140] In some embodiments, determining the correspondence between the light points in the first partition and the pixels in the first image based on the light point layout information of the first partition may include: sampling the first image based on the light point layout information of the first partition, such that the pixels in the sampled image correspond one-to-one with the light points in the first partition.

[0141] In some embodiments, prior to step S802, Figure 8 The method may also include: performing a perspective transformation on the light spot image to correct the shape of the light spot image to a rectangle.

[0142] In some embodiments, Figure 8 The method may further include: presenting indication information on the image preview interface of the acquisition device, the indication information being used to indicate the minimum size of the preview image of the light spot image.

[0143] In some embodiments, the indication information includes a rectangular area displayed on the image preview interface, and the indication information is used to indicate that the minimum size of the preview image needs to be greater than the size corresponding to the rectangular area.

[0144] In some embodiments, the lamp arrangement information may be resolution information.

[0145] In some embodiments, the optical information may include one or more of the following: luminous flux information, luminance information, and chromaticity information.

[0146] In some embodiments, the light image may include one or more of a blue light image, a red light image, a green light image, and a mixed color image.

[0147] In some embodiments, the display screen is an LED display screen, and the light points within the target display area are LED pixel lights.

[0148] Figure 9 This is a schematic diagram of a display screen full grayscale optical information acquisition device provided in one embodiment of this application. The device 900 may include components for performing… Figure 8 The method comprises modules. The device 900 includes a first acquisition module 901 and a second acquisition module 902.

[0149] The first acquisition module 901 can be used to acquire the image of the lamp points corresponding to each gray level in multiple gray levels of the target display area of ​​the display screen, wherein the target display area is part or all of the display area of ​​the display screen, and the imaging of at least some lamp points in the target display area is in a sticky state.

[0150] The second acquisition module 902 can be used to acquire optical information of the target display area at each grayscale level based on the lamp point image corresponding to each grayscale level. This optical information can be used to evaluate the display quality of the target display area; and / or, this optical information can be used to correct the lamp points within the target display area.

[0151] In some embodiments, the multiple gray levels include i low gray levels, j medium gray levels, and k high gray levels, wherein the gray level values ​​of the j medium gray levels are all greater than the gray level values ​​of each of the i low gray levels and are all less than the gray level values ​​of each of the k high gray levels, and the values ​​of i, j, and k are all greater than or equal to 1.

[0152] In other embodiments, the preset lighting method can be to simultaneously light up at least two types of lights, including red, green and blue lights.

[0153] In some embodiments, the second acquisition module 902 may be specifically used to: acquire a lamp image of the target display area at the current gray level among multiple gray levels, determine the optical information of the target display area at the current gray level, and correct the lamps in the target display area according to the optical information at the current gray level. Then, the process returns to the steps of "acquiring a lamp image of the target display area at the current gray level among multiple gray levels" and "determining the optical information of the target display area at the current gray level according to the lamp image at the current gray level, and correcting the lamps in the target display area according to the optical information at the current gray level", until the number of corrections of the lamps in the target display area at the current gray level reaches a threshold, or until the lamps in the target display area meet the correction completion condition at the current gray level.

[0154] In some embodiments, after completing the correction at the current grayscale, the second acquisition module 902 may be specifically used to: acquire the lamp image of the target display area at the next grayscale in the plurality of grayscales; and determine the optical information of the target display area at the next grayscale based on the lamp image at the next grayscale.

[0155] In some embodiments, the imaging of at least some of the light spots arranged in the target display area in the light spot image being in a stuck state may include: the imaging of adjacent light spots in the light spot image being in an adjacent state or an overlapping state.

[0156] In some embodiments, the degree of overlap of the images of adjacent light spots in the light spot image is between 10% and 80%.

[0157] In some embodiments, the difference between the maximum and minimum brightness in the light spot image is between 10% and 50%; and / or, the difference between the maximum and minimum grayscale in the light spot image is between 10% and 50%; and / or, the difference between the maximum and minimum DN value in the light spot image is between 10% and 50%.

[0158] In some embodiments, the target display area includes multiple splicing units, and optical information is also used to correct the gaps between the multiple splicing units.

[0159] In some embodiments, the optical information includes correction information for the light spots within the target display area, and the correction information for the light spots is also used to correct the gaps between multiple splicing units.

[0160] In some embodiments, the second acquisition module 902 may be specifically used to: acquire optical information from the light spot image based on the light spot arrangement information of the target display area.

[0161] In some embodiments, the second acquisition module 902 may be specifically used to: determine the correspondence between the light points in the target display area and the pixels in the light point image based on the light point arrangement information of the target display area; determine the optical information corresponding to the light points in the target display area based on the correspondence between the light points in the target display area and the pixels in the light point image; and acquire the optical information of the target display area based on the optical information corresponding to the light points in the target display area.

[0162] In some embodiments, determining the correspondence between the light spots in the target display area and the pixels in the light spot image based on the light spot arrangement information of the target display area may include: sampling the light spot image based on the light spot arrangement information of the target display area, so that the pixels in the sampled image correspond one-to-one with the light spots in the target display area.

[0163] In some embodiments, the first acquisition module 901 may be specifically used to: acquire a calibration pattern presented in the target display area, the calibration pattern being used to locate the positions of multiple partitions in the target display area in the lamp image; the second acquisition module 902 may be specifically used to: acquire optical information based on the lamp image and the calibration pattern.

[0164] In some embodiments, the plurality of gray levels correspond to at least two calibration images, the gray levels less than a first gray level threshold among the plurality of gray levels correspond to the first calibration image among the at least two calibration images, and the gray levels greater than or equal to the first gray level threshold among the plurality of gray levels correspond to the second calibration image among the at least two calibration images, wherein the acquisition parameters of the acquisition device are different when acquiring the first calibration image and when acquiring the second calibration image.

[0165] In some embodiments, the light spot image includes a first light spot image and a second light spot image, the first light spot image and the second light spot image corresponding to light spots of different colors within the target display area, and the calibration pattern includes a first light spot pattern corresponding to the first light spot image and a second calibration pattern corresponding to the second light spot image, wherein the first calibration pattern and the second calibration pattern are different.

[0166] In some embodiments, the calibration pattern includes multiple patterns corresponding to multiple partitions, and the multiple patterns are alternating light and dark patterns.

[0167] In some embodiments, the plurality of partitions are all rectangular in shape.

[0168] In some embodiments, the second acquisition module 902 may be specifically used to: divide the lamp point image into multiple images corresponding one-to-one with multiple partitions according to the calibration pattern; determine the optical information corresponding to the multiple partitions according to the multiple images; and acquire the optical information according to the optical information corresponding to the multiple partitions.

[0169] In some embodiments, the plurality of images includes a first image, and the plurality of partitions includes a first partition corresponding to the first image. The second acquisition module 902 may be specifically used to: determine the correspondence between the light points in the first partition and the pixels in the first image based on the light point arrangement information of the first partition; and determine the optical information corresponding to the light points in the first partition based on the correspondence between the light points in the first partition and the pixels in the first image.

[0170] In some embodiments, the second acquisition module 902 may be specifically used to: sample the first image according to the lamp layout information of the first partition, so that the pixels in the sampled image correspond one-to-one with the lamps in the first partition.

[0171] In some embodiments, the device 900 may further include a transformation module. The transformation module is used to perform perspective transformation on the light spot image to correct the shape of the light spot image to a rectangle.

[0172] In some embodiments, the device 900 may further include a presentation module. The presentation module is used to present indication information on the image preview interface of the acquisition device, the indication information being used to indicate the minimum size of the preview image of the light spot image.

[0173] In some embodiments, the indication information includes a rectangular area displayed on the image preview interface, and the indication information is used to indicate that the minimum size of the preview image needs to be greater than the size corresponding to the rectangular area.

[0174] In some embodiments, the lamp arrangement information may be resolution information.

[0175] In some embodiments, the optical information may include one or more of the following: luminous flux information, luminance information, and chromaticity information.

[0176] In some embodiments, the light image may include one or more of a blue light image, a red light image, a green light image, and a mixed color image.

[0177] In some embodiments, the display screen is an LED display screen, and the light points within the target display area are LED pixel lights.

[0178] Figure 10 This is a schematic diagram of the structure of a terminal device provided in another embodiment of this application. Figure 10 The terminal device 10 may include a memory 101 and a processor 102.

[0179] In some implementations, memory 101 may be used to store computer programs. Processor 102 may be used to execute the computer programs stored in memory to perform tasks such as... Figure 8The method shown. For example, the terminal device may refer to the aforementioned evaluation / calibration device.

[0180] In other embodiments, memory 101 may be used to store correction coefficients, which are obtained based on optical information, which may be based on... Figure 8 The method shown yields the result; processor 102 can be used to calibrate the display screen according to the calibration coefficient.

[0181] It should be understood that in the various embodiments of this application, the order of the above-mentioned processes does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0182] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0183] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0184] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0185] 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. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another 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 read, 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., digital video disc (DVD)), or a semiconductor medium (e.g., solid-state disk (SSD)).

[0186] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method for acquiring full grayscale optical information of a display screen, characterized in that, include: The target display area of ​​the control screen is displayed at multiple gray levels. The target display area is part or all of the display area of ​​the screen. The multiple gray levels include i low gray levels, j medium gray levels and k high gray levels. The gray level values ​​of the j medium gray levels are all greater than the gray level values ​​of each of the i low gray levels and are all less than the gray level values ​​of each of the k high gray levels. The values ​​of i, j and k are all greater than or equal to 1. The acquisition parameters of the acquisition device are adjusted so that the images of at least some of the lamp points in the target display area are in a state of adhesion. The state of adhesion includes: there is no region with zero luminous flux between the images of adjacent lamp points, so that each pixel in the lamp point image contains useful optical information. After the acquisition parameters are adjusted, the acquisition device is controlled to take pictures of the target display area to obtain the light spot image of the target display area corresponding to each gray level in the plurality of gray levels, wherein at least some of the light spots in the light spot image are in a sticky state. Based on the light spot image corresponding to each gray level, the optical information of the target display area at each gray level is obtained, and the optical information is used to evaluate the display quality of the target display area; and / or, the optical information is used to correct the light spots in the target display area.

2. The method according to claim 1, characterized in that, The imaging of the light points is in an overlapping state, including: the imaging of adjacent light points within the target display area is in a contiguous or overlapping state; and / or, The overlap of the images of adjacent light points is between 10% and 80%; and / or, The difference between the maximum and minimum brightness in the light spot image is between 10% and 50%; and / or, The difference between the maximum and minimum gray levels in the light spot image is between 10% and 50%; and / or, The difference between the maximum and minimum DN values ​​in the light spot image is between 10% and 50%.

3. The method for acquiring full grayscale optical information of a display screen as described in claim 1, characterized in that, The method further includes: correcting the light spots in the target display area based on the optical information at the current grayscale; The process includes the following steps: returning to control the acquisition device to capture an image of the target display area to obtain a light spot image of the target display area at the current gray level among multiple gray levels; determining the optical information of the target display area at the current gray level based on the light spot image at the current gray level; and correcting the light spots in the target display area based on the optical information at the current gray level, until the number of corrections of the light spots in the target display area at the current gray level reaches a threshold, or until the light spots in the target display area meet the correction completion condition at the current gray level.

4. The method for acquiring full grayscale optical information of a display screen as described in any one of claims 1 to 3, characterized in that, After adjusting the acquisition parameters of the acquisition device, the method further includes: The target display area is controlled to display a calibration pattern, which is used to divide the target display area into multiple partitions; The acquisition device is controlled to capture images of the target display area to obtain a calibration image of the target display area; The step of obtaining the optical information of the target display area at each grayscale level based on the light spot image corresponding to each grayscale level includes: The optical information is obtained based on the calibration image and the light spot image corresponding to each grayscale.

5. The method for acquiring full grayscale optical information of a display screen as described in claim 4, characterized in that, The plurality of gray levels correspond to at least two calibration images. Among the plurality of gray levels, the gray levels less than a first gray level threshold correspond to the first calibration image among the at least two calibration images. Among the plurality of gray levels, the gray levels greater than or equal to the first gray level threshold correspond to the second calibration image among the at least two calibration images. The acquisition parameters of the acquisition device are different when acquiring the first calibration image and when acquiring the second calibration image.

6. The method for acquiring full grayscale optical information of a display screen as described in any one of claims 1 to 3, characterized in that, The step of adjusting the acquisition parameters of the acquisition device to make the images of at least some of the light points within the target display area appear to be in a state of adhesion includes: The acquisition parameters of the acquisition device are adjusted so that the imaging of at least some of the light points in the target display area diverges or contracts until the imaging of the light points is in a state of adhesion. The acquisition parameters include at least one of aperture, exposure time, and macro.

7. An evaluation / calibration system, characterized in that, include: The acquisition device captures images displayed on the screen. The evaluation / calibration device processes the images captured by the acquisition device to perform the full grayscale optical information acquisition method for a display screen as described in any one of claims 1 to 6.

8. A method for acquiring full grayscale optical information of a display screen, characterized in that, include: The method involves acquiring the image of lamp points corresponding to each gray level in a target display area of ​​a display screen across multiple gray levels. The target display area is part or all of the display area of ​​the display screen. At least some of the lamp points within the target display area are in a state of adhesion. The adhesion state includes the absence of a region with zero luminous flux between the images of adjacent lamp points, such that each pixel in the lamp point image contains useful optical information. The multiple gray levels include i low gray levels, j medium gray levels, and k high gray levels. The gray level values ​​of the j medium gray levels are all greater than the gray level values ​​of each low gray level in the i low gray levels and are all less than the gray level values ​​of each high gray level in the k high gray levels. The values ​​of i, j, and k are all greater than or equal to 1. Based on the light spot image corresponding to each gray level, the optical information of the target display area at each gray level is obtained, and the optical information is used to evaluate the display quality of the target display area; and / or, the optical information is used to correct the light spots in the target display area.

9. The method for acquiring full grayscale optical information of a display screen as described in claim 8, characterized in that, The method further includes; The process returns to the steps of obtaining the lamp image of the target display area at the current gray level in the multiple gray levels, determining the optical information of the target display area at the current gray level based on the lamp image at the current gray level, and correcting the lamps in the target display area based on the optical information at the current gray level, until the number of corrections of the lamps in the target display area at the current gray level reaches a threshold, or until the lamps in the target display area meet the correction completion condition at the current gray level.

10. The method for acquiring full grayscale optical information of a display screen as described in claim 9, characterized in that, After correcting the light spots within the target display area based on the optical information at the current grayscale, the optical information acquisition method further includes: Obtain the light spot image of the next gray level in the multiple gray levels for the target display area; Based on the light spot image at the next gray level, determine the optical information of the target display area at the next gray level.

11. A device for acquiring full grayscale optical information of a display screen, characterized in that, It includes a module for performing the optical information acquisition method as described in any one of claims 8 to 10.

12. A terminal device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of the optical information acquisition method as described in any one of claims 8 to 10.

13. A display control device, characterized in that, include: A memory for storing correction coefficients, the correction coefficients being obtained based on optical information, the optical information being obtained based on the display screen full grayscale information acquisition method according to any one of claims 8 to 10; A processor for calibrating the display screen according to the calibration coefficient.

Images