Debugging method of liquid crystal display panel

Abstract

The present disclosure relates to a debugging method for a liquid crystal display panel, and relates to the field of display technology. The debugging method includes: inputting test data into a standard liquid crystal display panel to generate a standard screen; the standard screen is formed by at least one of n primary colors based on a specified color space; inputting test data into a sample liquid crystal display panel to generate a sample screen; the sample screen is formed by at least one of n primary colors based on a specified color space; determining whether the sample screen has a color deviation compared to the standard screen; if a color deviation exists, performing an adjustment step to obtain a target screen, wherein the color deviation between the target screen and the standard screen is within a specified range; the specified color is different from the deviation color; the adjustment step includes: updating the test data input into the sample liquid crystal display panel to adjust the grayscale of a specified sub-pixel; the color of the specified sub-pixel is a specified color; and determining a data conversion relationship based on the test data when the color deviation is eliminated.

Description

Technical Field

[0001] The present disclosure relates to the field of display technology, and in particular to a debugging method for a liquid crystal display panel. Background Art

[0002] Liquid crystal display (LCD) panels are widely used in mobile phones, televisions, and other terminal devices for displaying images. During pre-shipment testing of LCD panels, color shift is a common phenomenon. For example, a blue tint may appear in a picture that should be pure green. Currently, the common solution is to replace the color filter substrate to change the color of the emitted light, eliminating the unwanted color mixing and addressing the color shift issue. However, color filter substrates are expensive.

[0003] It should be noted that the information disclosed in the above background technology section is only used to enhance the understanding of the background of the present disclosure, and therefore may include information that does not constitute prior art known to ordinary technicians in the field. Summary of the Invention

[0004] The purpose of the present disclosure is to overcome the above-mentioned deficiencies of the prior art and provide a method for debugging a liquid crystal display panel, which can reduce costs while improving the color cast problem.

[0005] According to one aspect of the present disclosure, a method for debugging a liquid crystal display panel is provided. The liquid crystal display panel includes an array substrate, a liquid crystal layer, a color filter substrate, and a backlight module. The array substrate and the color filter substrate are arranged opposite each other, and the liquid crystal layer is located between the array substrate and the color filter substrate. The backlight module is arranged on a side of the array substrate away from the color filter substrate.

[0006] The debugging method includes:

[0007] Inputting test data into a standard liquid crystal display panel to generate a standard image; the standard image is formed by at least one of n primary colors based on a specified color space; n is a positive integer and greater than 3;

[0008] Inputting the test data into a sample liquid crystal display panel to generate a sample image; the sample image is formed by at least one of the n primary colors based on the specified color space;

[0009] determining whether the sample image has a color deviation compared to the standard image, and using the color causing the color deviation as a deviation color; the deviation color is one of the n primary colors;

[0010] If the color deviation exists, performing an adjustment step to increase the proportion of the designated color in the sample image until the color deviation is eliminated to obtain a target image, wherein the color deviation between the target image and the standard image is within a designated range; the designated color includes at least one of the n primary colors that is different from the deviation color; the adjustment step includes: updating test data input into the sample liquid crystal display panel to adjust the grayscale of a designated sub-pixel; the color of the designated sub-pixel is the designated color;

[0011] A data conversion relationship is determined based on the test data when the color deviation is eliminated, and the data conversion relationship is output.

[0012] In an exemplary embodiment of the present disclosure, the test data includes backlight data and pixel data, wherein the backlight data is used to control the brightness of the backlight module; the pixel data is used to control the grayscale of each sub-pixel of the standard liquid crystal display panel and the sample liquid crystal display panel;

[0013] Determining whether the sample image has color deviation compared to the standard image; comprising:

[0014] detecting a transmission spectrum of the color filter substrate of the standard liquid crystal display panel as a standard transmission spectrum of a standard screen;

[0015] detecting a transmission spectrum of the color filter substrate of the sample liquid crystal display panel as a sample transmission spectrum of the sample image;

[0016] Based on the specified color space, the deviation of the color coordinates of the standard image and the sample image is determined according to the deviation between the standard transmission spectrum and the sample transmission spectrum as the color deviation; the color coordinates of the band in the sample transmission spectrum that causes the color deviation are the color coordinates of the deviation color.

[0017] In an exemplary embodiment of the present disclosure, determining the deviation of the color coordinates of the standard image and the sample image according to the deviation of the standard transmission spectrum and the sample transmission spectrum includes:

[0018] Generating a graph of the standard transmission spectrum and the sample transmission spectrum in the same coordinate system;

[0019] The deviation between the standard transmission spectrum and the sample transmission spectrum is compared to determine the color coordinates of the band where the deviation exists as the color coordinates of the deviation color.

[0020] In an exemplary embodiment of the present disclosure, n is equal to 3, and the primary colors include red, green, and blue, and the sub-pixels of the standard liquid crystal display panel and the sample liquid crystal display panel include red sub-pixels, green sub-pixels, and blue sub-pixels; before performing the adjusting step, the debugging method further includes:

[0021] The backlight spectrum of the backlight module of the standard liquid crystal display panel is detected.

[0022] In an exemplary embodiment of the present disclosure, the spectrum of the sample image = the backlight spectrum × the spectrum of the red sub-pixel; in a specified color space:

[0023] If the vertical coordinate of the red color of the sample image is greater than the vertical coordinate of the red color of the standard image, the color of the designated sub-pixel is blue; the spectrum of the target image = the backlight spectrum × (the spectrum of the red sub-pixel + K1 × the spectrum of the blue sub-pixel);

[0024] If the horizontal coordinate of the red color of the sample image is greater than the horizontal coordinate of the red color of the standard image, the color of the designated sub-pixel is blue or green. The spectrum of the target image = the backlight spectrum × (the spectrum of the red sub-pixel + K2 × the spectrum of the green sub-pixel). Alternatively, the spectrum of the target image = the backlight spectrum × (the spectrum of the red sub-pixel + K3 × the spectrum of the blue sub-pixel).

[0025] In an exemplary embodiment of the present disclosure, the spectrum of the sample image = the backlight spectrum × the spectrum of the red sub-pixel; in a specified color space:

[0026] If the horizontal coordinate of the red color of the sample image is greater than the horizontal coordinate of the red color of the standard image, and the vertical coordinate of the red color of the sample image is greater than the vertical coordinate of the red color of the standard image; the colors of the designated sub-pixel include blue and green, and the spectrum of the target image = the backlight spectrum × (spectrum of the red sub-pixel + K4 × spectrum of the blue sub-pixel + K5 × spectrum of the green sub-pixel); or, if the color of the designated sub-pixel is blue, the spectrum of the target image = the backlight spectrum × (spectrum of the red sub-pixel + K6 × spectrum of the blue sub-pixel).

[0027] In an exemplary embodiment of the present disclosure, the spectrum of the sample image = the backlight spectrum × the spectrum of the green sub-pixel; in a specified color space:

[0028] If the vertical coordinate of the green color of the sample image is greater than the vertical coordinate of the green color of the standard image, the color of the designated sub-pixel is blue or red; the spectrum of the target image = the backlight spectrum × (spectrum of the green sub-pixel + K1 × spectrum of the blue sub-pixel); or, the spectrum of the target image = the backlight spectrum × (spectrum of the green sub-pixel + K2 × spectrum of the red sub-pixel);

[0029] If the horizontal coordinate of the green color of the sample image is greater than that of the standard image, the color of the designated sub-pixel is blue. The spectrum of the target image = the backlight spectrum × (spectrum of the green sub-pixel + K3 × spectrum of the blue sub-pixel).

[0030] In an exemplary embodiment of the present disclosure, the spectrum of the sample image = the backlight spectrum × the spectrum of the green sub-pixel; in a specified color space:

[0031] If the horizontal coordinate of the green color of the sample image is greater than the horizontal coordinate of the green color of the standard image, and the vertical coordinate of the green color of the sample image is greater than the vertical coordinate of the green color of the standard image; the color of the designated sub-pixel includes blue and red, and the spectrum of the target image = the backlight spectrum × (spectrum of the green sub-pixel + K4 × spectrum of the blue sub-pixel + K5 × spectrum of the red sub-pixel); or, if the color of the designated sub-pixel is blue, the spectrum of the target image = the backlight spectrum × (spectrum of the green sub-pixel + K6 × spectrum of the blue sub-pixel).

[0032] In an exemplary embodiment of the present disclosure, the spectrum of the sample image = the backlight spectrum × the spectrum of the blue sub-pixel; in a specified color space:

[0033] If the vertical coordinate of the blue color of the sample image is lower than that of the blue color of the standard image, the color of the designated sub-pixel is green. The spectrum of the target image = the backlight spectrum × (spectrum of the blue sub-pixel + K1 × spectrum of the green sub-pixel).

[0034] If the abscissa of the blue color of the sample image is lower than the abscissa of the blue color of the standard image, the color of the designated sub-pixel is red or green. The spectrum of the target image = the backlight spectrum × (the spectrum of the blue sub-pixel + K2 × the spectrum of the red sub-pixel). Alternatively, the spectrum of the target image = the backlight spectrum × (the spectrum of the blue sub-pixel + K3 × the spectrum of the green sub-pixel).

[0035] In an exemplary embodiment of the present disclosure, the spectrum of the sample image = the backlight spectrum × the spectrum of the blue sub-pixel; in a specified color space:

[0036] If the abscissa of the blue color of the sample image is lower than the abscissa of the blue color of the standard image, and the ordinate of the blue color of the sample image is lower than the ordinate of the blue color of the standard image; the colors of the designated sub-pixel include red and green, and the spectrum of the target image = the backlight spectrum × (spectrum of the blue sub-pixel + K4 × spectrum of the red sub-pixel + K5 × spectrum of the green sub-pixel); or, if the color of the designated sub-pixel is green, the spectrum of the target image = the backlight spectrum × (spectrum of the blue sub-pixel + K6 × spectrum of the green sub-pixel).

[0037] The debugging method disclosed herein can determine the color deviation of a sample LCD panel compared to a standard LCD panel by comparing a standard image and a sample image displayed based on the same test data. The method then adjusts the grayscale of a specified sub-pixel to increase the proportion of colors in the sample image that differ from the deviation color until the deviation from the standard image falls within a specified target range, thereby correcting the color deviation of the sample LCD panel. Finally, a data conversion relationship can be determined based on the test data corresponding to the grayscale of the specified sub-pixel. Upon receiving input data, the sample LCD panel can perform conversions based on this conversion relationship, thereby improving the color deviation.

[0038] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The accompanying drawings are incorporated into and constitute a part of the specification, illustrate embodiments consistent with the present disclosure, and together with the specification, are used to explain the principles of the present disclosure. Obviously, the drawings described below are only some embodiments of the present disclosure, and those skilled in the art can derive other drawings based on these drawings without inventive effort.

[0040] Figure 1 Schematic diagram of the structure of the liquid crystal display panel disclosed in the present invention.

[0041] Figure 2 Schematic diagram of the backlight spectrum in one embodiment of the debugging method disclosed herein.

[0042] Figure 3 Schematic diagram of the transmission spectrum of the color filter substrate in one embodiment of the debugging method disclosed herein.

[0043] Figure 4 FIG. 1 is a schematic diagram of the spectrum of a green screen of a liquid crystal display panel in one embodiment of the debugging method disclosed herein.

[0044] Figure 5 is the CIE chromaticity diagram.

[0045] Figure 6 This is a principle diagram of spectrum synthesis of a green sample image in one embodiment of the debugging method disclosed herein.

[0046] Figure 7 This is a schematic diagram of the spectrum synthesis of a green target image in one embodiment of the debugging method disclosed herein.

[0047] Figure 8 This is a comparison diagram of a green sample screen and a target screen in one embodiment of the debugging method disclosed herein. DETAILED DESCRIPTION

[0048] Example embodiments will now be described more fully with reference to the accompanying drawings. However, the example embodiments can be implemented in many forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete and will fully convey the concepts of the example embodiments to those skilled in the art. Like reference numerals in the figures represent identical or similar structures, and thus their detailed descriptions will be omitted. Furthermore, the figures are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale.

[0049] The terms "a", "an", "the", "said" and "at least one" are used to indicate the presence of one or more elements / components / etc.; the terms "including" and "having" are used to express open-ended inclusion and mean that additional elements / components / etc. may be present in addition to the listed elements / components / etc.; the terms "first", "second" and "third" etc. are used only as labels and are not intended to limit the quantity of their objects.

[0050] An embodiment of the present disclosure provides a debugging method for a liquid crystal display panel. The liquid crystal display panel may have multiple pixels distributed in an array, and each pixel may include n sub-pixels, where n is a positive integer not less than 3. Each sub-pixel can emit light independently, and the sub-pixels in the same pixel emit different colors. For example, if n is 3, the sub-pixels in the same pixel may include a red sub-pixel that emits red light, a green sub-pixel that emits green light, and a blue sub-pixel that emits blue light.

[0051] A liquid crystal display panel can form an image based on at least one of n primary colors in a specified color space. The specified color space can be represented by an xy coordinate system on a CIE chromaticity diagram. The number of primary colors is the same as the number of sub-pixels, for example, both are three. The primary colors include red, green, and blue. The color coordinates of each primary color in the specified color space are not specifically limited herein.

[0052] like Figure 1 As shown, the liquid crystal display panel may include an array substrate AS, a liquid crystal layer LC, a color filter substrate CFL and a backlight module BL, wherein:

[0053] The array substrate AS can be positioned opposite the color filter substrate CFL, with the liquid crystal layer LC positioned between them. The array substrate AS can be equipped with a drive circuit and multiple pixel electrodes. The color filter substrate CFL can include multiple filter sections CF and light-absorbing sections BM separating the filter sections CF. Each filter section CF transmits monochromatic light, and each subpixel can include a filter section CF, thereby defining the color of the subpixel's light. Furthermore, the liquid crystal display panel can include a common electrode, which can be located on either the array substrate AS or the color filter substrate CFL. This common electrode forms an electric field with each pixel electrode. This electric field causes the liquid crystal molecules in the liquid crystal layer LC to change their deflection angle, adjusting the transmittance and, therefore, the grayscale of each subpixel. In other words, a subpixel can include a filter section CF, its corresponding liquid crystal layer LC, a pixel electrode, and a common electrode.

[0054] The backlight module BL is located on the side of the array substrate AS away from the color filter substrate CFL and is used to provide light required for displaying images. In some embodiments of the present disclosure, the backlight module BL may include multiple backlight sources and light conversion layers, wherein:

[0055] The backlight sources may be arranged in an array on a side of the array substrate AS away from the color filter substrate CFL, and each backlight source may emit monochromatic light of the same color. The backlight source may be a light emitting diode.

[0056] The light conversion layer can be located between the backlight source and the array substrate AS. Monochromatic light emitted by the backlight source can be irradiated onto the light conversion layer to generate white light. For example, the backlight source can be a blue-emitting diode, and the light conversion layer can be made of phosphor or QD quantum dots, which can generate white light when excited by the blue light.

[0057] The inventors have discovered that when a liquid crystal display panel displays an image, the light emitted by the backlight module passes through the filter portion of the liquid crystal layer LC and the color filter substrate CFL. Each time it passes through a film layer, the spectrum is affected. Due to the difference between the backlight spectrum of the backlight module BL and the transmission spectrum of the color filter substrate CFL, the color coordinates of the image on the liquid crystal display panel will be affected. Figure 8 As shown, taking the green image as an example, blue light in the 430nm-480nm band passes through the color filter substrate CFL, and the blue image formed is mixed with the green image, causing the vertical coordinate of the green image to decrease, making the green image impure and causing color cast.

[0058] In addition, since the brightness of the backlight module can be adjusted, its spectrum will also change. Therefore, when determining the difference between the transmission spectrum and the backlight spectrum, it is necessary to ensure that the transmission spectrum and the backlight spectrum are measured at the same brightness of the backlight module.

[0059] To overcome the color shift issue, embodiments of the present disclosure provide a debugging method. A standard LCD panel and a sample LCD panel are selected as a comparison standard. The standard LCD panel is a panel previously screened for the aforementioned color shift issue. The sample LCD panel is the LCD panel to be debugged, and both panels have the same structure.

[0060] The debugging method of the embodiment of the present disclosure may include steps S10 to S50, wherein:

[0061] Step S10: inputting test data into a standard liquid crystal display panel to generate a standard image; the standard image is formed by at least one of n primary colors based on a specified color space; n is a positive integer and greater than 3;

[0062] Step S20: inputting test data into a sample liquid crystal display panel to generate a sample image; the sample image is formed by at least one of n primary colors based on a specified color space;

[0063] Step S30: Determine whether the sample image has a color deviation compared to the standard image, and use the color causing the color deviation as a deviation color; the deviation color is one of the n primary colors;

[0064] Step S40: If color deviation exists, performing an adjustment step to increase the proportion of a designated color in the sample image until the color deviation is eliminated to obtain a target image, wherein the color deviation between the target image and the standard image is within a designated range; the designated color includes at least one of the n primary colors that is different from the deviation color; the adjustment step includes: updating test data input into the sample liquid crystal display panel to adjust the grayscale of the designated sub-pixel; the color of the designated sub-pixel is the designated color;

[0065] Step S50: determining a data conversion relationship based on the test data when eliminating color deviation, and outputting the result.

[0066] The debugging method of the disclosed embodiment can determine the deviation color of the sample LCD panel compared to the standard LCD panel by comparing the standard image and the sample image displayed based on the same test data. The method then adjusts the grayscale of a specified sub-pixel to increase the proportion of colors in the sample image that differ from the deviation color until the deviation from the standard image falls within a specified target range, thereby correcting the color shift problem of the sample LCD panel. Finally, a data conversion relationship can be determined based on the test data corresponding to the grayscale of the specified sub-pixel. Upon receiving input data, the sample LCD panel can perform conversion according to this conversion relationship, thereby improving the color shift problem.

[0067] For example, refer to Figure 8 , Figure 8The spectrum of the green target image after debugging and the spectrum of the green sample image without debugging are shown. It can be seen that compared with the unadjusted sample image, the vertical coordinate of the target image after debugging is reduced in the 430nm-480nm band, eliminating the proportion of blue light in this band mixed in the green image, thereby eliminating color deviation.

[0068] The following is a detailed description of each step:

[0069] In step S10 , test data is inputted into a standard liquid crystal display panel to generate a standard image; the standard image is formed by at least one of n primary colors based on a specified color space; n is a positive integer and is greater than 3.

[0070] Test data can include backlight data and pixel data. Backlight data can be used to control the backlight module's illumination and brightness, that is, the backlight source's illumination and brightness. Pixel data can be input into the array substrate to control the voltage between the pixel electrode and the common electrode, thereby controlling the deflection angle of the liquid crystal molecules and adjusting the light transmittance of each sub-pixel, thereby adjusting the grayscale of each sub-pixel. The combined effect of backlight data and pixel data enables the LCD panel to display a specific image.

[0071] For a standard LCD panel, the test data can be input to make the standard LCD panel display a standard image. The standard image can be formed by at least one of n primary colors in a specified color space. For example, the specified color space can be represented by the xy coordinate system of the CIE chromaticity diagram. The CIE chromaticity diagram is as follows: Figure 5 The primary colors may include red, green, and blue. The standard picture may be a monochrome picture, such as a red picture, a green picture, or a blue picture.

[0072] like Figure 2 and Figure 4 As shown, Figure 2 The backlight spectrum of the backlight module is the spectrum generated by the backlight source emitting light at a certain wavelength. As the wavelength of the backlight source increases, the backlight spectrum will change to a certain extent. Figure 3 The backlight spectrum and the light transmission spectrum are combined to generate the spectrum of the picture, such as Figure 4 shown.

[0073] A standard image can be one that has been tested to be free of color shift, for example, a green image free of red and blue. Therefore, a standard image can be used as a benchmark for debugging. Of course, given objective factors such as process and testing errors, in practice, a monochrome image serving as a standard image can contain other colors. As long as the proportion of these other colors is within a certain range, it can be considered a standard image.

[0074] In step S20 , test data is inputted into a sample liquid crystal display panel to generate a sample image; the sample image is formed by at least one of n primary colors based on a specified color space.

[0075] The sample liquid crystal display panel can display an image through the test data. The image is a sample image. The specified color space can be represented by the xy coordinate system of the CIE chromaticity diagram. The primary colors may include red, green, and blue. The standard image can be a monochrome image, such as a red image, a green image, or a blue image. The specific display principle of the sample liquid crystal display panel displaying the image can be referred to step S110 and the above description of the liquid crystal display panel, and will not be described in detail here. At the same time, the test data in step S120 is the same as the test data in step S110, so that debugging can be performed under the same standard.

[0076] It should be noted that the execution order of the above-mentioned step S10 and step S20 can be adjusted. The two steps can be performed simultaneously, and step S20 can be performed before step S10. The order of step S10 and step S20 is not specifically limited here.

[0077] In step S30 , it is determined whether the sample image has a color deviation compared to the standard image, and the color causing the color deviation is used as a deviation color; the deviation color is one of the n primary colors.

[0078] The standard image is a pre-selected standard LCD panel image that serves as a standard for determining whether the sample image exhibits color shift. If the sample image exhibits no color shift compared to the standard image, debugging of the sample LCD panel is unnecessary, i.e., steps S40 and S50 are not performed. If color shift is present, steps S140 and S150 are performed.

[0079] When color deviation is detected, the color causing the deviation can be determined. For example, if the standard image is green, while the sample image is green mixed with blue, then the blue is the color causing the color deviation, i.e., the deviation color. Since LCD panels display images based on n primary colors, the deviation color is also one of the primary colors and is different from the primary color of the monochrome standard image.

[0080] In some embodiments of the present disclosure, the deviation color may be determined by comparing the deviation of the color coordinates of the spectra of the standard image and the sample image. Specifically, step S30 includes step S310 and step S330, wherein:

[0081] Step S310 : detecting the transmittance spectrum of the color filter substrate of the standard liquid crystal display panel as the standard transmittance spectrum of the standard screen.

[0082] A spectrum testing device can be used to detect light transmitted through the color filter substrate of a standard liquid crystal display panel to obtain a transmission spectrum, which is a standard transmission spectrum of a standard screen.

[0083] Step S320 : detecting the transmittance spectrum of the color filter substrate of the sample liquid crystal display panel as a sample transmittance spectrum of the sample image.

[0084] The same spectrum testing equipment as that in step S310 can be used to detect the light transmitted through the color filter substrate of the sample liquid crystal display panel to obtain a transmission spectrum, which is a sample transmission spectrum of the sample screen.

[0085] At the same time, the standard transmission spectrum and the sample transmission spectrum are measured under the same backlight brightness to avoid spectral differences caused by different backlight brightness.

[0086] Step S330: Based on the specified color space, the deviation of the color coordinates of the standard image and the sample image is determined according to the deviation between the standard transmission spectrum and the sample transmission spectrum as the color deviation; the color coordinates of the band causing the color deviation in the sample transmission spectrum are the color coordinates of the deviation color.

[0087] The color deviation can be reflected by the color coordinates in the specified color space, and the deviation of the color coordinates can reflect the color deviation. The specified color space can be represented by the xy coordinate system of the CIE chromaticity diagram.

[0088] Furthermore, in some embodiments of the present disclosure, step S330 may include step S3310 and step S3320, wherein:

[0089] Step S3310: Generate graphs of the standard transmission spectrum and the sample transmission spectrum in the same coordinate system.

[0090] like Figure 7 As shown, Figure 7 The horizontal axis is wavelength, and the vertical axis is light intensity. After normalization, the standard transmission spectrum and the sample transmission spectrum can be plotted in this coordinate system.

[0091] Step S3320: Compare the deviations between the standard transmission spectrum and the sample transmission spectrum, and determine the color coordinates of the band where the deviation exists as the color coordinates of the deviation color.

[0092] Without considering color shift, the sample transmission spectrum should overlap with the standard transmission spectrum if there is no color shift. However, if there is a color shift, the two graphs will diverge within a certain wavelength range. For example, in the 430nm-480nm band, the sample transmission spectrum and the standard transmission spectrum do not overlap, indicating that blue light in the 430nm-480nm band is transmitting through the color filter substrate (CFL) in the green light image. In the xy coordinate system of the CIE chromaticity diagram, the ordinate of the color coordinate of the green light image is lower due to the contamination of blue light.

[0093] In step S40, if there is a color deviation, an adjustment step is performed to increase the proportion of the specified color in the sample image until the color deviation is eliminated to obtain a target image, and the target image is different from the standard image; the specified color includes at least one of the n primary colors that is different from the deviation color; the adjustment step includes: updating the test data input into the sample liquid crystal display panel to adjust the grayscale of the specified sub-pixel; the color of the specified sub-pixel is the specified color.

[0094] If color deviation is determined in step S30 for the sample image, an adjustment step may be performed to update the test data input to the sample LCD panel, thereby changing the ratio of the primary colors of the sample image and eliminating the color coordinate deviation, i.e., eliminating the color deviation, until a target image is obtained. The color deviation of the target image and the standard image is within a specified range, for example, there is no color deviation between the sum of the two. The purpose of defining the specified range here is to account for objective factors such as process errors and detection errors that are difficult to eliminate, and to establish a certain tolerance for the results. The specific values of the specified range are not specifically limited herein.

[0095] The adjustment step may be performed only once or multiple times, as long as the color deviation can be eliminated. Each time the adjustment step is performed, steps S10-S30 described above must be repeated to recheck the adjusted results, i.e., whether color deviation exists. Test data updates can be set based on empirical values to reduce the number of adjustment steps. Alternatively, a correspondence between test data and color deviation can be determined or a formula can be fitted based on multiple prior experiments. The test data can then be directly updated based on this correspondence or formula, also reducing the number of adjustment steps.

[0096] Furthermore, in some embodiments of the present disclosure, the primary colors include red, green, and blue, and the sub-pixels of the standard liquid crystal display panel and the sample liquid crystal display panel include red sub-pixels, green sub-pixels, and blue sub-pixels; before performing the adjustment step, the debugging method of the present disclosure may further include:

[0097] Step S60 , detecting the backlight spectrum of the backlight module of the standard liquid crystal display panel.

[0098] Step S60 may be performed simultaneously with one of step S10 and step S20, or may be performed simultaneously with step S30, or may be performed separately.

[0099] The following describes the spectral composition of the sample image and the target image, and illustrates the principle of eliminating color deviation under different sample images.

[0100] When the sample image is a monochrome red image:

[0101] The spectrum of the sample image = backlight spectrum × red sub-pixel spectrum; in a specified color space, such as the xy coordinate system of the CIE chromaticity diagram:

[0102] If the vertical coordinate of red in the sample image is greater than that of the standard image, the color of the designated sub-pixel can be blue. The target image's spectrum = backlight spectrum × (red sub-pixel spectrum + K1 × blue sub-pixel spectrum). In other words, by emitting blue light from the blue sub-pixel, the vertical coordinate of red in the sample image can be lowered. The value of K1 depends on the degree of color deviation: greater color deviation increases K1, and more blue light is added.

[0103] Accordingly, if the vertical coordinate of red in the sample image is smaller than that of the standard image, the color of the designated sub-pixel can be green. The spectrum of the target image = backlight spectrum × (spectrum of the red sub-pixel + M1 × spectrum of the green sub-pixel). In other words, by emitting green light, the vertical coordinate of red in the sample image can be increased. The value of M1 depends on the degree of color deviation: greater color deviation increases M1, and more green light is added.

[0104] If the horizontal coordinate of the red color in the sample image is greater than that in the standard image, the color of the designated sub-pixel is blue or green. The spectrum of the target image = backlight spectrum × (spectrum of the red sub-pixel + K2 × spectrum of the green sub-pixel); alternatively, the spectrum of the target image = backlight spectrum × (spectrum of the red sub-pixel + K3 × spectrum of the blue sub-pixel). Color deviation can be eliminated by increasing the blue or green color. In other words, by emitting green or blue light, the horizontal coordinate of the red color in the sample image can be lowered. The values of K2 and K3 depend on the degree of color deviation. The greater the color deviation, the larger the K2 and K3, and the more green and blue light is added.

[0105] Furthermore, if the horizontal coordinate of the red color of the sample image is greater than the horizontal coordinate of the red color of the standard image, and the vertical coordinate of the red color of the sample image is greater than the vertical coordinate of the red color of the standard image; the colors of the designated sub-pixels include blue and green, and the spectrum of the target image = backlight spectrum × (spectrum of red sub-pixel + K4 × spectrum of blue sub-pixel + K5 × spectrum of green sub-pixel); that is, the blue and green sub-pixels can be used to eliminate color deviation simultaneously. Alternatively, the color deviation can be eliminated by only emitting the blue sub-pixel, that is, the color of the designated sub-pixel is blue, and the spectrum of the target image = backlight spectrum × (spectrum of red sub-pixel + K6 × spectrum of blue sub-pixel).

[0106] In other words, by emitting blue and green sub-pixels, blue and green light can be added, reducing the horizontal and vertical coordinates of the red in the sample image. The values of K4 and K5 depend on the degree of color deviation. The greater the color deviation, the larger the K4 and K5, and the more blue and green light is added. Similarly, the horizontal and vertical coordinates of the red in the sample image can be reduced by only emitting blue light in the blue sub-pixel. The value of K6 depends on the degree of color deviation. The greater the color deviation, the larger the K6, and the more blue light is added.

[0107] When the sample image is a monochrome green image:

[0108] like Figure 6 As shown, the spectrum of the sample image = backlight spectrum × spectrum of the green sub-pixel; in a specified color space, for example, in the xy coordinate system of the CIE chromaticity diagram:

[0109] like Figure 7 and Figure 8 As shown, if the vertical coordinate of the green color of the sample image is greater than that of the standard image, the color of the designated sub-pixel is blue or red. The target image's spectrum = backlight spectrum × (spectrum of the green sub-pixel + K1 × spectrum of the blue sub-pixel); or, the target image's spectrum = backlight spectrum × (spectrum of the green sub-pixel + K2 × spectrum of the red sub-pixel). In other words, the vertical coordinate of the green color of the sample image can be lowered by adding blue or red light by emitting light from the blue or red sub-pixel. The values of K1 and K2 depend on the degree of color deviation. The greater the color deviation, the larger K1 and K2, and the more blue and red light added.

[0110] If the green horizontal coordinate of the sample image is greater than that of the standard image, the color of the designated sub-pixel is blue. The target image's spectrum = backlight spectrum × (spectrum of the green sub-pixel + K3 × spectrum of the blue sub-pixel). In other words, by emitting blue light from the blue sub-pixel, the horizontal coordinate of the green color of the sample image can be lowered. The value of K3 depends on the degree of color deviation: greater color deviation increases K3, and more blue light is added.

[0111] Accordingly, if the green horizontal coordinate of the sample image is smaller than the red horizontal coordinate of the standard image, the color of the designated sub-pixel can be red. The target image spectrum = backlight spectrum × (red sub-pixel spectrum + M1 × red sub-pixel spectrum). In other words, by emitting red light from the red sub-pixel, the green horizontal coordinate of the sample image can be increased. The value of M1 depends on the degree of color deviation: the greater the color deviation, the larger M1, and the more red light is added.

[0112] Furthermore, if the horizontal coordinate of the green color of the sample image is greater than the horizontal coordinate of the green color of the standard image, and the vertical coordinate of the green color of the sample image is greater than the vertical coordinate of the green color of the standard image; the colors of the designated sub-pixels include blue and red, the spectrum of the target image = backlight spectrum × (spectrum of the green sub-pixel + K4 × spectrum of the blue sub-pixel + K5 × spectrum of the red sub-pixel); or, the color of the designated sub-pixel is blue, the spectrum of the target image = backlight spectrum × (spectrum of the green sub-pixel + K6 × spectrum of the blue sub-pixel).

[0113] In other words, by emitting light from both the blue and red sub-pixels, blue and red light are added, reducing the horizontal and vertical coordinates of the green in the sample image. The values of K4 and K5 depend on the degree of color deviation. The greater the color deviation, the larger the K4 and K5 values, and the more blue and red light is added. Similarly, the horizontal and vertical coordinates of the green in the sample image can be reduced by only emitting blue light from the blue sub-pixel. The value of K6 depends on the degree of color deviation. The greater the color deviation, the larger the K6 value, and the more blue light is added.

[0114] When the sample image is a monochrome blue image:

[0115] The spectrum of the sample image = backlight spectrum × spectrum of the blue sub-pixel; in a specified color space, such as the xy coordinate system of the CIE chromaticity diagram:

[0116] If the vertical coordinate of the blue in the sample image is lower than that of the blue in the standard image, the color of the designated sub-pixel is green. The target image's spectrum = backlight spectrum × (blue sub-pixel spectrum + K1 × green sub-pixel spectrum). In other words, by emitting green light from the green sub-pixel, the vertical coordinate of the blue in the sample image can be increased. The value of K1 depends on the degree of color deviation: greater color deviation increases K1, and more green light is added.

[0117] If the abscissa of the blue color in the sample image is smaller than that in the standard image, the color of the designated sub-pixel is blue or green. The target image's spectrum = backlight spectrum × (blue sub-pixel spectrum + K2 × red sub-pixel spectrum); or, the target image's spectrum = backlight spectrum × (blue sub-pixel spectrum + K3 × green sub-pixel spectrum). In other words, the abscissa of the blue color in the sample image can be increased by emitting red or green light, thereby adding red or green light. The values of K2 and K3 depend on the degree of color deviation. The greater the color deviation, the larger K1 and K2, and the more red and green light added.

[0118] Furthermore, if the abscissa of the blue color of the sample image is smaller than the abscissa of the blue color of the standard image, and the ordinate of the blue color of the sample image is lower than the ordinate of the blue color of the standard image; the colors of the designated sub-pixels include red and green, the spectrum of the target image = backlight spectrum × (spectrum of the blue sub-pixel + K4 × spectrum of the red sub-pixel + K5 × spectrum of the green sub-pixel); or, the color of the designated sub-pixel is green, the spectrum of the target image = backlight spectrum × (spectrum of the blue sub-pixel + K6 × spectrum of the green sub-pixel).

[0119] In other words, by emitting light from both the red and green sub-pixels, red and green light can be added, reducing the blue abscissa and ordinate of the sample image. The values of K4 and K5 depend on the degree of color deviation: greater color deviation increases the values of K4 and K5, and more red and green light is added. Similarly, by emitting green light from only the green sub-pixel, the blue abscissa and ordinate of the sample image can be reduced. The value of K6 depends on the degree of color deviation: greater color deviation increases the values of K6, and more green light is added.

[0120] K1-K6 and M1 mentioned above are used to reflect the content of the color of the light emitted by a specified sub-pixel, which is positively correlated with the grayscale of the specified sub-pixel.

[0121] In step S50, a data conversion relationship is determined based on the test data when eliminating color deviation, and is output.

[0122] According to the spectrum of the target image determined above, the test data can be updated, and the grayscale of the specified sub-pixel can be updated. When eliminating the color deviation, there is a deviation between the grayscale of the specified pixel in the target image and the grayscale that should be displayed based on the original test data (before the debugging step is performed). Based on this deviation, the conversion relationship of the test data can be determined. When the sample display panel is working normally, the input data can be converted into correction data through this conversion relationship, and displayed based on the correction data to avoid color deviation during normal operation. The conversion relationship can be a mapping or a fitting formula, etc., which is not specifically limited here. The conversion relationship can be burned or stored in the driving circuit of the liquid crystal display panel or the external control circuit for call. Thus, by eliminating the color deviation, the liquid crystal display panel with color deviation can be able to work normally without replacing the color filter substrate, thereby reducing costs.

[0123] It should be noted that although the steps of the debugging method of the present disclosure are described in a specific order in the accompanying drawings, this does not require or imply that the steps must be performed in this specific order, or that all steps must be performed to achieve the desired results. Additionally or alternatively, certain steps may be omitted, multiple steps may be combined into one step, and / or a step may be broken down into multiple steps.

[0124] Through the description of the above embodiments, it is easy for those skilled in the art to understand that the example embodiments described herein can be implemented by combining software with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure can be embodied in the form of a software product, which can be stored in a non-volatile readable storage medium (which can be a CD-ROM, USB flash drive, mobile hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which can be a personal computer, server, mobile terminal, or network device, etc.) to execute the debugging method according to the embodiments of the present disclosure, that is, the steps in the above embodiments.

[0125] In some embodiments of the present disclosure, the debugging method can be implemented by a control device, which can be connected to the spectral testing equipment mentioned above. The control device can control the spectral testing equipment to detect the backlight spectrum and transmittance spectrum mentioned above, and obtain the detection results, that is, obtain the backlight spectrum and transmittance spectrum detected. At the same time, the control device can input test data to the standard liquid crystal display panel and the sample liquid crystal display panel. In addition, the control device can also determine the color deviation and perform the adjustment steps, and finally output the data conversion relationship. That is, the control device can be configured to execute each step of the debugging method of the present disclosure, wherein the detection of the backlight spectrum and transmittance spectrum is achieved by controlling the spectral testing equipment. The control device can be a personal computer, a server, etc., which are not listed here one by one.

[0126] Those skilled in the art will readily appreciate other embodiments of the present disclosure after considering the specification and practicing the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include common knowledge or customary techniques in the art not disclosed herein. The description and examples are to be considered as exemplary only, with the true scope and spirit of the present disclosure being indicated by the appended claims.

Claims

1. A method for debugging a liquid crystal display panel, characterized in that: The liquid crystal display panel includes an array substrate, a liquid crystal layer, a color filter substrate and a backlight module. The array substrate and the color filter substrate are arranged opposite to each other, and the liquid crystal layer is located between the array substrate and the color filter substrate. The backlight module is arranged on a side of the array substrate away from the color filter substrate; The debugging method includes: Inputting test data into a standard liquid crystal display panel to generate a standard image; the standard image is formed by at least one of n primary colors based on a specified color space; n is a positive integer and is not less than 3; Inputting the test data into a sample liquid crystal display panel to generate a sample image; the sample image is formed by at least one of the n primary colors based on the specified color space; determining whether the sample image has a color deviation compared to the standard image, and using the color causing the color deviation as a deviation color; the deviation color is one of the n primary colors; If the color deviation exists, performing an adjustment step to increase the proportion of the designated color in the sample image until the color deviation is eliminated to obtain a target image, wherein the color deviation between the target image and the standard image is within a designated range; the designated color includes at least one of the n primary colors that is different from the deviation color; the adjustment step includes: updating test data input into the sample liquid crystal display panel to adjust the grayscale of a designated sub-pixel; the color of the designated sub-pixel is the designated color; Determining a data conversion relationship based on the test data when the color deviation is eliminated, and outputting the result; The test data includes backlight data and pixel data, wherein the backlight data is used to control the brightness of the backlight module; the pixel data is used to control the grayscale of each sub-pixel of the standard liquid crystal display panel and the sample liquid crystal display panel; Determining whether the sample image has color deviation compared to the standard image; comprising: detecting a transmission spectrum of the color filter substrate of the standard liquid crystal display panel as a standard transmission spectrum of a standard screen; detecting a transmission spectrum of the color filter substrate of the sample liquid crystal display panel as a sample transmission spectrum of the sample image; Based on the specified color space, the deviation of the color coordinates of the standard image and the sample image is determined according to the deviation between the standard transmission spectrum and the sample transmission spectrum as the color deviation; the color coordinates of the band in the sample transmission spectrum that causes the color deviation are the color coordinates of the deviation color.

2. The debugging method according to claim 1, characterized in that: Determining the deviation of the color coordinates of the standard image and the sample image according to the deviation of the standard transmission spectrum and the sample transmission spectrum; comprising: Generating a graph of the standard transmission spectrum and the sample transmission spectrum in the same coordinate system; The deviation between the standard transmission spectrum and the sample transmission spectrum is compared to determine the color coordinates of the band where the deviation exists as the color coordinates of the deviation color.

3. The debugging method according to claim 1, characterized in that: n is equal to 3, and the primary colors include red, green, and blue, and the sub-pixels of the standard liquid crystal display panel and the sample liquid crystal display panel include red sub-pixels, green sub-pixels, and blue sub-pixels; Before performing the adjusting step, the debugging method further includes: The backlight spectrum of the backlight module of the standard liquid crystal display panel is detected.

4. The debugging method according to claim 3, characterized in that: The spectrum of the sample image = the backlight spectrum × the spectrum of the red sub-pixel; in a specified color space: If the vertical coordinate of the red color of the sample image is greater than the vertical coordinate of the red color of the standard image, the color of the designated sub-pixel is blue; the spectrum of the target image = the backlight spectrum × (the spectrum of the red sub-pixel + K1 × the spectrum of the blue sub-pixel); If the horizontal coordinate of the red color of the sample image is greater than the horizontal coordinate of the red color of the standard image, the color of the designated sub-pixel is blue or green. The spectrum of the target image = the backlight spectrum × (the spectrum of the red sub-pixel + K2 × the spectrum of the green sub-pixel). Alternatively, the spectrum of the target image = the backlight spectrum × (the spectrum of the red sub-pixel + K3 × the spectrum of the blue sub-pixel).

5. The debugging method according to claim 3, characterized in that: The spectrum of the sample image = the backlight spectrum × the spectrum of the red sub-pixel; in a specified color space: If the horizontal coordinate of the red color of the sample image is greater than the horizontal coordinate of the red color of the standard image, and the vertical coordinate of the red color of the sample image is greater than the vertical coordinate of the red color of the standard image; the colors of the designated sub-pixel include blue and green, and the spectrum of the target image = the backlight spectrum × (spectrum of the red sub-pixel + K4 × spectrum of the blue sub-pixel + K5 × spectrum of the green sub-pixel); or, if the color of the designated sub-pixel is blue, the spectrum of the target image = the backlight spectrum × (spectrum of the red sub-pixel + K6 × spectrum of the blue sub-pixel).

6. The debugging method according to claim 3, characterized in that: The spectrum of the sample image = the backlight spectrum × the spectrum of the green sub-pixel; in a specified color space: If the vertical coordinate of the green color of the sample image is greater than the vertical coordinate of the green color of the standard image, the color of the designated sub-pixel is blue or red; the spectrum of the target image = the backlight spectrum × (spectrum of the green sub-pixel + K1 × spectrum of the blue sub-pixel); or, the spectrum of the target image = the backlight spectrum × (spectrum of the green sub-pixel + K2 × spectrum of the red sub-pixel); If the horizontal coordinate of the green color of the sample image is greater than that of the standard image, the color of the designated sub-pixel is blue. The spectrum of the target image = the backlight spectrum × (spectrum of the green sub-pixel + K3 × spectrum of the blue sub-pixel).

7. The debugging method according to claim 3, characterized in that: The spectrum of the sample image = the backlight spectrum × the spectrum of the green sub-pixel; in a specified color space: If the horizontal coordinate of the green color of the sample image is greater than the horizontal coordinate of the green color of the standard image, and the vertical coordinate of the green color of the sample image is greater than the vertical coordinate of the green color of the standard image; the color of the designated sub-pixel includes blue and red, and the spectrum of the target image = the backlight spectrum × (spectrum of the green sub-pixel + K4 × spectrum of the blue sub-pixel + K5 × spectrum of the red sub-pixel); or, if the color of the designated sub-pixel is blue, the spectrum of the target image = the backlight spectrum × (spectrum of the green sub-pixel + K6 × spectrum of the blue sub-pixel).

8. The debugging method according to claim 3, characterized in that: The spectrum of the sample image = the backlight spectrum × the spectrum of the blue sub-pixel; in a specified color space: If the vertical coordinate of the blue color of the sample image is lower than the vertical coordinate of the blue color of the standard image, the color of the designated sub-pixel is green. The spectrum of the target image = the backlight spectrum × (spectrum of the blue sub-pixel + K1 × spectrum of the green sub-pixel) If the abscissa of the blue color of the sample image is lower than the abscissa of the blue color of the standard image, the color of the designated sub-pixel is red or green. The spectrum of the target image = the backlight spectrum × (the spectrum of the blue sub-pixel + K2 × the spectrum of the red sub-pixel). Alternatively, the spectrum of the target image = the backlight spectrum × (the spectrum of the blue sub-pixel + K3 × the spectrum of the green sub-pixel).

9. The debugging method according to claim 3, characterized in that: The spectrum of the sample image = the backlight spectrum × the spectrum of the blue sub-pixel; in a specified color space: If the abscissa of the blue color of the sample image is lower than the abscissa of the blue color of the standard image, and the ordinate of the blue color of the sample image is lower than the ordinate of the blue color of the standard image; the colors of the designated sub-pixel include red and green, and the spectrum of the target image = the backlight spectrum × (spectrum of the blue sub-pixel + K4 × spectrum of the red sub-pixel + K5 × spectrum of the green sub-pixel); or, if the color of the designated sub-pixel is green, the spectrum of the target image = the backlight spectrum × (spectrum of the blue sub-pixel + K6 × spectrum of the green sub-pixel).

Images