Color calibration method and apparatus, display device, storage medium, and program product

Abstract

The present application relates to the technical field of color calibration, and discloses a color calibration method, a color calibration apparatus, a display device, a storage medium, and a computer program product. In the present application, firstly, an accurate color forward model is constructed by sampling some panel color sample points, and chromaticity coordinates of any RGB grayscale data of a display panel to be calibrated in a CIE-XYZ color space can be quickly and accurately computed on the basis of the color forward model; then, a color inverse model is constructed on the basis of the color forward model, wherein the color inverse model can output RGB grayscale data of said display panel corresponding to any chromaticity coordinates of said display panel in the CIE-XYZ color space, so as to ensure the accuracy of color calibration; finally, on the basis of the color inverse model, an original color gamut of said display panel is calibrated to a target color gamut, so as to complete high-precision color calibration.

Description

Color calibration methods, apparatus, display devices, storage media and program products

[0001] This application claims priority to Chinese Patent Application No. 202411562708.6, filed on November 4, 2024, entitled "Color calibration method, apparatus, display device, storage medium and program product", the entire contents of which are incorporated herein by reference. Technical Field

[0002] This application relates to the technical field of color calibration, and more particularly to color calibration methods, color calibration devices, display devices, storage media, and computer program products. Background Technology

[0003] In recent years, micro-OLED (micro-organic light-emitting diode) display technology has developed rapidly, featuring high brightness, wide color gamut, and high pixel density, providing better display effects for virtual reality and mixed reality devices. However, due to manufacturing limitations, the original color accuracy of micro-OLED panels generally cannot meet commonly used color standards, such as the widely used sRGB color standard, the Display P3 color standard, and the more advanced BT.2020 color standard. Therefore, color calibration of the panel is necessary to achieve a certain level of color accuracy.

[0004] However, existing methods require collecting a large number of sample points for calibration when calibrating the color of micro-OLED panels, which makes it difficult to guarantee calibration accuracy and consumes a lot of calibration time.

[0005] The above content is only used to help understand the technical solution of this application and does not represent an admission that the above content is prior art. Summary of the Invention

[0006] The main objective of this application is to provide a color calibration method, a color calibration device, a display device, a storage medium, and a computer program product, aiming to solve the technical problem of low color calibration efficiency in micro-oled panels.

[0007] To achieve the above objectives, this application proposes a color calibration method, which includes:

[0008] The display panel to be calibrated is sampled to obtain multiple RGB grayscale data and the color coordinates of the CIE-XYZ color space corresponding to each RGB grayscale data.

[0009] A color forward model of the display panel to be calibrated is established based on the RGB grayscale data and corresponding CIE-XYZ color coordinates of multiple display panels to be calibrated. The color forward model is used to generate the color coordinates of any RGB grayscale data in the display panel to be calibrated in the CIE-XYZ color space.

[0010] A color inverse model is established based on the color forward model. The color inverse model is used to obtain the RGB grayscale data of the display panel to be calibrated, which corresponds to any color coordinate of the display panel in the CIE-XYZ color space.

[0011] Based on the color inversion model, the original color gamut of the display panel to be calibrated is calibrated to the target color gamut.

[0012] In one embodiment, the step of establishing a color forward model of the display panel to be calibrated includes:

[0013] Based on the sampled RGB grayscale data and their corresponding CIE-XYZ color coordinates, the independent response coefficients and crosstalk response coefficients of each RGB channel in the display panel to be calibrated are obtained.

[0014] Based on the independent response coefficient and the crosstalk response coefficient, the first XYZ response corresponding to the independent RGB three channels and the second XYZ response corresponding to the crosstalk between the RGB three channels are obtained respectively.

[0015] A color forward model of the display panel to be calibrated is established based on the first XYZ response and the second XYZ response.

[0016] In one embodiment, the step of establishing a color positive model of the display panel to be calibrated includes:

[0017] The original color gamut of the display panel to be calibrated is calculated using a positive color model.

[0018] If the target color gamut of the display panel to be calibrated is larger than the original color gamut, then color gamut compression is performed with reference to the target color gamut and the original color gamut.

[0019] In one embodiment, in the color inversion model, initial RGB grayscale data is obtained based on the color coordinates of the display panel to be calibrated in the CIE-XYZ color space and a preset transformation matrix;

[0020] By using a color forward model, the color coordinates of each RGB grayscale data in the RGB space centered on the initial RGB grayscale data are obtained in the CIE-XYZ color space, and the RGB grayscale data with the smallest color difference in the RGB space are determined.

[0021] In one embodiment, the step of calibrating the original color gamut of the display panel to be calibrated to the target color gamut according to the color inversion model includes:

[0022] A three-dimensional lookup table is generated for the display panel to be calibrated. The index value of the three-dimensional lookup table is the RGB sample value of the target color gamut of the display panel to be calibrated. The RGB sample value is converted into the color coordinates of the CIE-XYZ color space through the color gamut conversion standard of the target color gamut. The lookup value of the three-dimensional lookup table corresponding to the index value is obtained by the color coordinates of the converted CIE-XYZ color space and the color inverse model.

[0023] The original color gamut of the display panel is calibrated to the target color gamut using a 3D lookup table.

[0024] In one embodiment, the index values ​​of the three-dimensional lookup table are obtained through non-uniform sampling.

[0025] Furthermore, to achieve the above objectives, this application also proposes a color calibration device, which includes:

[0026] The sampling module is used to sample the display panel to be calibrated to obtain multiple RGB grayscale data and the color coordinates of the CIE-XYZ color space corresponding to each RGB grayscale data.

[0027] The first module is used to establish a color forward model of the display panel to be calibrated based on the RGB grayscale data and corresponding CIE-XYZ color coordinates of multiple display panels to be calibrated. The color forward model is used to generate the color coordinates of any RGB grayscale data in the display panel to be calibrated in the CIE-XYZ color space.

[0028] The second module is used to establish a color inverse model of the display panel to be calibrated based on the color forward model. The color inverse model is used to obtain the RGB grayscale data of the display panel to be calibrated corresponding to any color coordinate in the CIE-XYZ color space.

[0029] The calibration module is used to calibrate the original color gamut of the display panel to be calibrated to the target color gamut based on the color inversion model.

[0030] In addition, to achieve the above objectives, this application also proposes a display device, the device comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the color calibration method as described above.

[0031] In addition, to achieve the above objectives, this application also proposes a storage medium, which is a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the steps of the color calibration method described above.

[0032] In addition, to achieve the above objectives, this application also provides a computer program product, which includes a computer program that, when executed by a processor, implements the steps of the color calibration method described above.

[0033] One or more technical solutions proposed in this application have at least the following technical effects:

[0034] In this application, firstly, a precise forward color model is constructed by sampling color sample points from a portion of the panel. Based on this model, the color coordinates of any RGB grayscale data in the display panel to be calibrated in the CIE-XYZ color space can be calculated quickly and accurately. Then, a reverse color model is constructed based on the forward color model. This reverse model outputs the RGB grayscale data of the display panel to be calibrated corresponding to any color coordinate in the CIE-XYZ color space, thus ensuring the accuracy of color correction. Finally, based on the reverse color model, the original color gamut of the display panel to be calibrated is calibrated to the target color gamut to complete high-precision color correction. Thus, accurate color correction can be achieved with only a small amount of sampled data, achieving the effect of reducing calibration time while maintaining calibration accuracy. Attached Figure Description

[0035] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0036] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0037] Figure 1 is a flowchart of the color calibration method provided in Embodiment 1 of this application;

[0038] Figure 2 is a schematic diagram of the domain compression process provided in Embodiment 1 of the color calibration method of this application;

[0039] Figure 3 is a schematic diagram of the usage process of the non-uniform 3DLUT provided in Embodiment 1 of the color calibration method of this application;

[0040] Figure 4 is a schematic diagram of the module structure of the color calibration device according to an embodiment of this application;

[0041] Figure 5 is a schematic diagram of the hardware operating environment involved in the color calibration method in this application embodiment.

[0042] The purpose, features, and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0043] It should be understood that the specific embodiments described herein are merely illustrative of the technical solutions of this application and are not intended to limit this application.

[0044] It should be noted that the executing entity in this embodiment can be a computing service device with data processing, network communication, and program execution functions, such as a tablet computer, personal computer, or mobile phone, or an electronic device or display device capable of performing the above functions. The following description uses a display device as an example to illustrate this embodiment and the subsequent embodiments.

[0045] Based on this, the present application provides a color calibration method. Referring to FIG1, FIG1 is a flowchart of the first embodiment of the color calibration method of the present application.

[0046] In this embodiment, the color calibration method includes steps S10 to S40:

[0047] Step S10: Sample the display panel to be calibrated to obtain multiple RGB grayscale data and the color coordinates of the CIE-XYZ color space corresponding to each RGB grayscale data.

[0048] Step S20: Establish a color forward model of the display panel to be calibrated based on the RGB grayscale data and corresponding CIE-XYZ color coordinates of multiple display panels to be calibrated. The color forward model is used to generate the color coordinates of any RGB grayscale data in the display panel to be calibrated in the CIE-XYZ color space.

[0049] It should be noted that current panel color calibration requires collecting a large number of sample points, which consumes a significant amount of calibration time. In this embodiment, a color forward model of the display panel is constructed by sampling a portion of the panel color sample points. This color forward model can then be used to calculate the color coordinates of any RGB grayscale data in the RGB color space corresponding to the CIE-XYZ color space.

[0050] In one feasible implementation, step S20 includes:

[0051] Based on the sampled RGB grayscale data and their corresponding CIE-XYZ color coordinates, the independent response coefficients and crosstalk response coefficients of each RGB channel in the display panel to be calibrated are obtained.

[0052] Based on the independent response coefficient and the crosstalk response coefficient, the first XYZ response corresponding to the independent RGB three channels and the second XYZ response corresponding to the crosstalk between the RGB three channels are obtained respectively.

[0053] A color forward model of the display panel to be calibrated is established based on the first XYZ response and the second XYZ response.

[0054] In one embodiment, a certain number of RGB grayscale data points are collected from the display panel to be calibrated, corresponding to the color coordinates in the CIE-XYZ color space. The corresponding CIE-XYZ color coordinates can generally be obtained by measuring the center of the panel using a colorimeter. It should be noted that the minimum number of RGB grayscale combinations is N*N*N, meaning each channel can have N grayscale values, where N can be 3 or 4. The grayscale value for each channel can be freely set according to the panel specifications, such as 0, 64, 128, or 255.

[0055] Next, based on the RGB grayscale data and the corresponding color coordinates in the acquired CIE-XYZ color space, a forward color model for the panel is constructed. This model can be used to generate the color coordinates in the CIE-XYZ color space for any RGB grayscale data in the display panel to be calibrated. The model is established as follows:

[0056] Among them, X RGB Y RGB Z RGB The first XYZ response is obtained by independently obtaining the three RGB channels. The independence of the three channels is similar to the XYZ values ​​measured by RGB sampling points (255, 0, 0), (0, 255, 0), (0, 0, 255). Its grayscale value may also be a grayscale value such as 0, 64, or 128. P Y P Z P The second XYZ response, caused by crosstalk between the three channels, is similar to the XYZ values ​​measured at RGB sampling points (255, 255, 255). Its grayscale value may also be a grayscale value such as 0, 64, 128, for example (128, 0, 64). X, Y, and Z are the sum of the two responses, and gain and γ represent the independent response coefficients of each channel to XYZ. 0～4 ~c 0～4 This represents the crosstalk response coefficient.

[0057] By using RGB grayscale data and the corresponding color coordinates of the acquired CIE-XYZ color space, the specific values ​​of the independent response coefficients and crosstalk response coefficients can be calculated, thus completing the construction of the color forward model. It can be understood that the process of constructing the color forward model is the process of establishing the above equations and solving for the relevant response coefficients within those equations.

[0058] In one embodiment, to improve model accuracy, model coefficients are independently calculated and stored in each RGB subspace divided by sampling points. For example, for grayscale values ​​of channels 0, 64, 128, and 255, each channel is divided into 3 segments, resulting in a total of 27 subspaces across the three channels. Forward and reverse models can be established in each subspace to improve model accuracy.

[0059] In one possible implementation, step S20 is followed by:

[0060] The original color gamut of the display panel to be calibrated is calculated using a positive color model.

[0061] If the target color gamut of the display panel to be calibrated is larger than the original color gamut, then color gamut compression is performed with reference to the target color gamut and the original color gamut.

[0062] Currently, existing calibration schemes cannot support color standards (such as BT2020) that exceed the panel's display range. In this embodiment, for color data exceeding the panel's color gamut range, gamut compression is used to compress the data into the panel's color gamut, ensuring that image information is not truncated or lost. In other words, for color standards (such as BT2020) that are larger than the panel's color gamut coverage, gamut compression can prevent the loss of image information within that color gamut.

[0063] After the color forward model is established, the color gamut size of the display panel to be calibrated can be determined using this model. In one embodiment, referring to Figure 2, when the specific color gamut (e.g., display P3) to which the display panel to be calibrated needs to be larger than the original color gamut covered by the panel, color gamut compression is used to compress the data exceeding the panel's color gamut into the panel's color gamut. Color gamut compression may include the following steps: 1) Converting the XYZ data to be processed to a uniform color space (e.g., CIELAB, ICtCp). 2) Determining the three-dimensional color gamut boundaries of the color gamut to be calibrated and the panel's color gamut in this space. 3) Calculating the two-dimensional projections of the two three-dimensional color gamut boundaries onto the hue plane where the data to be processed is located, obtaining the two-dimensional color gamut boundaries. 4) Determining the direction line of the mapping of the data to be processed into the color gamut, and calculating the intersection point of the mapping line and the two two-dimensional color gamut boundaries. 5) Compressing the data outside the color gamut into the panel's color gamut according to a specific mapping strategy, such as linear mapping, piecewise linear mapping, etc.

[0064] In one feasible implementation, in the color inversion model, the initial RGB grayscale data is obtained based on the color coordinates of the display panel to be calibrated in the CIE-XYZ color space and the preset transformation matrix.

[0065] By using a color forward model, the color coordinates of each RGB grayscale data in the RGB space centered on the initial RGB grayscale data are obtained in the CIE-XYZ color space, and the RGB grayscale data with the smallest color difference in the RGB space are determined.

[0066] It should be noted that the color forward model established by steps S10-S20 above establishes a color inverse model of the RGB grayscale data of the display panel to be calibrated, corresponding to any color coordinate in the CIE-XYZ color space. This can be considered as the inverse transformation of the aforementioned color forward model. In one embodiment, the color inverse model can be used to obtain the minimum color difference point when generating a calibration 3D lookup table such as 3DLUT.

[0067] Additionally, it should be noted that since the calculation formula of the color forward model does not have an inverse transformation in the mathematical calculation formula, the color reverse model cannot be directly obtained by reverse derivation from the color forward model established in the above steps S10-S20.

[0068] In one embodiment, when establishing the color inverse model, firstly, the color coordinates of the display panel to be calibrated in the CIE-XYZ color space are determined at preset fixed RGB sampling points (255, 0, 0)(0, 255, 0)(0, 0, 255)(255, 255, 255): [Xr, Yr, Zr], [Xg, Yg, Zg], [Xb, Yb, Zb], [Xw, Yw, Zw]. A 3x3 matrix model can be calculated from these sampled color coordinates, i.e., Mgog in the following formula.

[0069] Then, using the inverse matrix of this 3x3 matrix model, i.e., INV(Mgog) in the following formula, the color coordinates [X, Y, Z] of any CIE-XYZ color space (i.e., the input of the color inverse model) can be converted into RGB grayscale data [r, g, b]. Next, an initial RGB value (R, G, B)i is determined. n i t .

[0070] The following is the calculation process for determining the initial RGB values ​​(R,G,B)init: (R,G,B) init =(r,g,b) 1 / γ

[0071] Where Mgog is a 3x3 matrix model, the INV function is the matrix inverse function, (R, G, B)init is the calculated initial RGB value, and γ is 2.2 by default.

[0072] Subsequently, an M*M*M RGB cube is established centered on the initial RGB values, where M can be 16, 32, etc. Using the color forward model established in steps S10-S20 above, the color coordinates of all RGB values ​​within the RGB cube in the CIE-XYZ color space are calculated. The RGB value corresponding to the point with the smallest color difference ΔE within the RGB cube is then searched and used as the output of the color inverse model.

[0073] It should be noted that the 3x3 matrix model can be understood as an invertible forward model, and the accuracy requirements for it can be appropriately reduced. Since it is practically impossible to search and traverse every point to determine the color difference, otherwise the amount of data to be processed would be too large and processing efficiency would be difficult to improve, a slightly less accurate 3x3 forward model capable of inverse transformation can be used to obtain initial RGB values. Then, a partial search can be performed based on these initial RGB values, i.e., a precise search can be performed near the initial RGB values. This achieves a balance between data volume and correction efficiency.

[0074] Step S40: According to the color inversion model, calibrate the original color gamut of the display panel to be calibrated to the target color gamut.

[0075] After establishing the correspondence between the color coordinates in the color gamut to be calibrated and the RGB grayscale data of the display panel to be calibrated based on the color inversion model, the original color gamut of the display panel to be calibrated can be calibrated to the target color gamut based on the color inversion model.

[0076] In one feasible implementation, step S40 includes:

[0077] A three-dimensional lookup table is generated for the display panel to be calibrated. The index value of the three-dimensional lookup table is the RGB sample value of the target color gamut of the display panel to be calibrated. The RGB sample value is converted into the color coordinates of the CIE-XYZ color space through the color gamut conversion standard of the target color gamut. The lookup value of the three-dimensional lookup table corresponding to the index value is obtained by the color coordinates of the converted CIE-XYZ color space and the color inverse model.

[0078] The original color gamut of the display panel is calibrated to the target color gamut using a 3D lookup table.

[0079] When a display panel to be calibrated needs to be calibrated to a specific color gamut (such as display P3), a three-dimensional lookup table such as 3DLUT can be generated to calibrate to the target color gamut. The size of 3DLUT corresponds to 9x9x9 or 17x17x17, and its index value is the sampled value in the color gamut to be calibrated, i.e., the target color gamut such as display P3RGB space.

[0080] In one embodiment, each RGB sample value of the 3DLUT index is converted into XYZ data according to the conversion standard of the color gamut to be calibrated. Then, through a color inversion model, the RGB data with the smallest color difference corresponding to that index point on the panel is obtained, where the color difference is measured using the ΔE index. It should be noted that the conversion standard of the color gamut to be calibrated is the standard corresponding to the target color gamut. After determining the target color gamut, the conversion standard corresponding to the target color gamut can be directly adopted.

[0081] It is understandable that when displaying the display panel in the target color gamut, if a three-dimensional lookup table is not generated, the display panel to be calibrated can only display the RGB sample values ​​of the target color gamut. However, after generating a three-dimensional lookup table and calibrating the display panel according to the three-dimensional lookup table, the calibrated display panel can determine the corresponding lookup value (RGB data with the smallest color difference) based on the RGB sample values, thereby displaying the RGB data with the smallest color difference.

[0082] The 3D lookup table generated through the above steps calibrates the original color gamut of the display panel to be calibrated to the target color gamut. This allows for high-precision color calibration with minimal panel color sample points, while ensuring both calibration accuracy and efficient operation.

[0083] In one feasible implementation, the index values ​​of the three-dimensional lookup table are obtained through non-uniform sampling.

[0084] Currently, with limited processing precision, existing methods do not offer good performance in terms of color accuracy at low grayscale levels. In this embodiment, given the limited size of the 3D lookup table (3DLUT) used for color correction, a non-uniform 3DLUT approach is employed to improve low grayscale color accuracy. Using a non-uniform 3DLUT for color calibration further ensures the color accuracy at low grayscale levels.

[0085] Referring to Figure 3, which illustrates the workflow of a non-uniform 3DLUT, a non-uniform 3DLUT is generated to improve color accuracy in low grayscale areas for color calibration. Unlike a uniform 3DLUT, a non-uniform 3DLUT uses non-uniform sampling for its index, allocating more data points to low grayscale data areas. A gamma-like operation can be used to perform non-uniform sampling on the RGB index of the 3DLUT. The non-uniform sampling parameters can be set as needed.

[0086] It should be noted that the above examples are only for understanding this application and do not constitute a limitation on the color calibration method of this application. Any simple modifications based on this technical concept are within the protection scope of this application.

[0087] This application also provides a color calibration device, as shown in Figure 4. The color calibration device includes:

[0088] The sampling module 10 is used to sample the display panel to be calibrated to obtain multiple RGB grayscale data and the color coordinates of the CIE-XYZ color space corresponding to each RGB grayscale data.

[0089] The first establishment module 20 is used to establish a color forward model of the display panel to be calibrated based on the RGB grayscale data of multiple display panels to be calibrated and the corresponding CIE-XYZ color coordinates. The color forward model is used to generate the color coordinates of any RGB grayscale data in the display panel to be calibrated in the CIE-XYZ color space.

[0090] The second establishment module 30 is used to establish a color inverse model of the display panel to be calibrated based on the color forward model, wherein the color inverse model is used to obtain the RGB grayscale data of the display panel to be calibrated corresponding to any color coordinate in the CIE-XYZ color space.

[0091] The calibration module 40 is used to calibrate the original color gamut of the display panel to be calibrated to the target color gamut according to the color inversion model.

[0092] In one embodiment, the first establishment module 20 is further configured to:

[0093] Based on the sampled RGB grayscale data and their corresponding CIE-XYZ color coordinates, the independent response coefficients and crosstalk response coefficients of each RGB channel in the display panel to be calibrated are obtained.

[0094] Based on the independent response coefficient and the crosstalk response coefficient, the first XYZ response corresponding to the independent RGB three channels and the second XYZ response corresponding to the crosstalk between the RGB three channels are obtained respectively.

[0095] A color forward model of the display panel to be calibrated is established based on the first XYZ response and the second XYZ response.

[0096] In one embodiment, the color calibration device further includes a color gamut compression module, used for:

[0097] After the step of establishing the color positive model of the display panel to be calibrated:

[0098] The original color gamut of the display panel to be calibrated is calculated using a positive color model.

[0099] If the target color gamut of the display panel to be calibrated is larger than the original color gamut, then color gamut compression is performed with reference to the target color gamut and the original color gamut.

[0100] In one embodiment, in the color inversion model, initial RGB grayscale data is obtained based on the color coordinates of the display panel to be calibrated in the CIE-XYZ color space and a preset transformation matrix;

[0101] By using a color forward model, the color coordinates of each RGB grayscale data in the RGB space centered on the initial RGB grayscale data are obtained in the CIE-XYZ color space, and the RGB grayscale data with the smallest color difference in the RGB space are determined.

[0102] In one embodiment, the calibration module 40 is further configured to:

[0103] A three-dimensional lookup table is generated for the display panel to be calibrated. The index value of the three-dimensional lookup table is the RGB sample value of the target color gamut of the display panel to be calibrated. The RGB sample value is converted into the color coordinates of the CIE-XYZ color space through the color gamut conversion standard of the target color gamut. The lookup value of the three-dimensional lookup table corresponding to the index value is obtained by the color coordinates of the converted CIE-XYZ color space and the color inverse model.

[0104] The original color gamut of the display panel is calibrated to the target color gamut using a 3D lookup table.

[0105] In one embodiment, the index values ​​of the three-dimensional lookup table are obtained through non-uniform sampling.

[0106] The color calibration device provided in this application, employing the color calibration method described in the above embodiments, can solve the technical problem of low color correction efficiency in micro-OLED panels. Compared with the prior art, the beneficial effects of the color calibration device provided in this application are the same as those of the color calibration method provided in the above embodiments, and other technical features in the color calibration device are the same as those disclosed in the methods of the above embodiments, and will not be repeated here.

[0107] This application provides a display device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, which are executed by the at least one processor to enable the at least one processor to perform the color calibration method in Embodiment 1 above.

[0108] Referring now to Figure 5, a schematic diagram of a display device suitable for implementing embodiments of this application is shown. The display device in the embodiments of this application may include, but is not limited to, mobile terminals such as mobile phones, laptops, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Description), PMPs (Portable Media Players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and fixed terminals such as digital TVs and desktop computers. The display device shown in Figure 5 is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of this application.

[0109] As shown in Figure 5, the display device may include a processing unit 1001 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 1002 or a program loaded from a storage device 1003 into a random access memory (RAM) 1004. The RAM 1004 also stores various programs and data required for the operation of the display device. The processing unit 1001, ROM 1002, and RAM 1004 are interconnected via a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to the I / O interface 1006: input devices 1007 including, for example, touchscreens, touchpads, keyboards, mice, image sensors, microphones, accelerometers, gyroscopes, etc.; output devices 1008 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; storage devices 1003 including, for example, magnetic tapes, hard disks, etc.; and communication devices 1009. Communication device 1009 allows the display device to communicate wirelessly or wiredly with other devices to exchange data. Although the figures show display devices with various systems, it should be understood that it is not required to implement or possess all of the systems shown. More or fewer systems may be implemented alternatively.

[0110] Specifically, according to the embodiments disclosed in this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments disclosed in this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device, or installed from storage device 1003, or installed from ROM 1002. When the computer program is executed by processing device 1001, it performs the functions defined in the methods of the embodiments disclosed in this application.

[0111] The display device provided in this application, employing the color calibration method described in the above embodiments, can solve the technical problem of low color calibration efficiency in micro-OLED panels. Compared with the prior art, the beneficial effects of the display device provided in this application are the same as those of the color calibration method provided in the above embodiments, and other technical features of the display device are the same as those disclosed in the previous embodiment method, and will not be repeated here.

[0112] It should be understood that the various parts disclosed in this application can be implemented using hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in any suitable manner in one or more embodiments or examples.

[0113] 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.

[0114] This application provides a computer-readable storage medium having computer-readable program instructions (i.e., a computer program) stored thereon, the computer-readable program instructions being used to execute the color calibration method in the above embodiments.

[0115] The computer-readable storage medium provided in this application may be, for example, a USB flash drive, but is not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems or devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections having one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system or device. The program code contained on the computer-readable storage medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.

[0116] The aforementioned computer-readable storage medium may be included in the display device or may exist independently without being assembled into the display device.

[0117] The aforementioned computer-readable storage medium carries one or more programs that, when executed by a display device, cause the display device to: sample the display panel to be calibrated to obtain multiple RGB grayscale data and the color coordinates of each RGB grayscale data in the CIE-XYZ color space; establish a forward color model of the display panel to be calibrated based on the multiple RGB grayscale data of the display panel to be calibrated and the corresponding CIE-XYZ color coordinates, wherein the forward color model is used to generate the color coordinates of any RGB grayscale data in the display panel to be calibrated in the CIE-XYZ color space; establish a reverse color model of the display panel to be calibrated based on the forward color model, wherein the reverse color model is used to obtain the RGB grayscale data of the display panel to be calibrated corresponding to any color coordinate of the display panel to be calibrated in the CIE-XYZ color space; and calibrate the original color gamut of the display panel to be calibrated to the target color gamut according to the reverse color model.

[0118] Computer program code for performing the operations of this application can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, and conventional procedural programming languages ​​such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a Local Area Network (LAN) or a Wide Area Network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0119] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0120] The modules described in the embodiments of this application can be implemented in software or hardware. The names of the modules do not necessarily limit the functionality of the unit itself.

[0121] The readable storage medium provided in this application is a computer-readable storage medium that stores computer-readable program instructions (i.e., a computer program) for executing the above-described color calibration method, thereby solving the technical problem of low color calibration efficiency in micro-OLED panels. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as those of the color calibration method provided in the above embodiments, and will not be repeated here.

[0122] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the color calibration method described above.

[0123] The computer program product provided in this application can solve the technical problem of low color calibration efficiency in micro-OLED panels. Compared with the prior art, the beneficial effects of the computer program product provided in this application are the same as those of the color calibration method provided in the above embodiments, and will not be repeated here.

[0124] The above description is only a part of the embodiments of this application and does not limit the patent scope of this application. All equivalent structural transformations made under the technical concept of this application and using the contents of the specification and drawings of this application, or direct / indirect applications in other related technical fields, are included in the patent protection scope of this application.

Claims

1. A color calibration method, characterized in that, include: The display panel to be calibrated is sampled to obtain multiple RGB grayscale data and the color coordinates of the CIE-XYZ color space corresponding to each RGB grayscale data. A color forward model of the display panel to be calibrated is established based on the RGB grayscale data and the corresponding CIE-XYZ color coordinates of the multiple display panels to be calibrated, wherein the color forward model is used to generate the color coordinates of any RGB grayscale data in the display panel to be calibrated in the CIE-XYZ color space. A color inverse model of the display panel to be calibrated is established based on the color forward model, wherein the color inverse model is used to obtain the RGB grayscale data of the display panel to be calibrated corresponding to any color coordinate of the display panel to be calibrated in the CIE-XYZ color space. Based on the color inversion model, the original color gamut of the display panel to be calibrated is calibrated to the target color gamut.

2. The color calibration method as described in claim 1, characterized in that, The step of establishing the color positive model of the display panel to be calibrated includes: Based on the sampled RGB grayscale data and the corresponding color coordinates in the CIE-XYZ color space, the independent response coefficients and crosstalk response coefficients of each RGB channel in the display panel to be calibrated are obtained to the color coordinates. Based on the independent response coefficient and the crosstalk response coefficient, the first XYZ response corresponding to the independent RGB three channels and the second XYZ response corresponding to the crosstalk between the RGB three channels are obtained respectively. A color forward model of the display panel to be calibrated is established based on the first XYZ response and the second XYZ response.

3. The color calibration method as described in claim 1, characterized in that, The step of establishing the color positive model of the display panel to be calibrated includes: The original color gamut of the display panel to be calibrated is calculated using the color positive model. If the target color gamut of the display panel to be calibrated is larger than the original color gamut, then color gamut compression is performed with reference to the target color gamut and the original color gamut.

4. The color calibration method as described in claim 1, characterized in that, In the color inversion model, the initial RGB grayscale data is obtained based on the color coordinates of the display panel to be calibrated in the CIE-XYZ color space and the preset transformation matrix. Using the color forward model, the color coordinates of each RGB grayscale data in the RGB space centered on the initial RGB grayscale data are obtained in the CIE-XYZ color space, and the RGB grayscale data with the smallest color difference in the RGB space is determined.

5. The color calibration method as described in claim 1, characterized in that, The step of calibrating the original color gamut of the display panel to be calibrated to the target color gamut according to the color inversion model includes: A three-dimensional lookup table for the display panel to be calibrated is generated, wherein the index value of the three-dimensional lookup table is the RGB sample value of the target color gamut of the display panel to be calibrated, the RGB sample value is converted into color coordinates of the CIE-XYZ color space through the color gamut conversion standard of the target color gamut, and the lookup value of the three-dimensional lookup table corresponding to the index value is obtained by the converted color coordinates of the CIE-XYZ color space and the color inverse model; The original color gamut of the display panel is calibrated to the target color gamut using the three-dimensional lookup table.

6. The color calibration method as described in claim 5, characterized in that, The index values ​​of the three-dimensional lookup table are obtained through non-uniform sampling.

7. A color calibration device, characterized in that, The color calibration device includes: The sampling module is used to sample the display panel to be calibrated to obtain multiple RGB grayscale data and the color coordinates of the CIE-XYZ color space corresponding to each RGB grayscale data. The first establishment module is used to establish a color forward model of the display panel to be calibrated based on the RGB grayscale data and the corresponding CIE-XYZ color coordinates of the multiple display panels to be calibrated, wherein the color forward model is used to generate the color coordinates of any RGB grayscale data in the display panel to be calibrated in the CIE-XYZ color space. The second establishment module is used to establish a color inverse model of the display panel to be calibrated based on the color forward model, wherein the color inverse model is used to obtain the RGB grayscale data of the display panel to be calibrated corresponding to any color coordinate of the display panel to be calibrated in the CIE-XYZ color space. The calibration module is used to calibrate the original color gamut of the display panel to be calibrated to the target color gamut according to the color inversion model.

8. A display device, characterized in that, The device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the color calibration method as described in any one of claims 1 to 6.

9. A storage medium, characterized in that, The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, it implements the steps of the color calibration method as described in any one of claims 1 to 6.

10. A computer program product, characterized in that, The computer program product includes a computer program that, when executed by a processor, implements the steps of the color calibration method as described in any one of claims 1 to 6.

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