A chromaticity monitoring and intelligent adjustment device for mobile phone display screen

Abstract

The present application relates to the field of chromaticity adjustment technology, and specifically to a chromaticity monitoring and intelligent adjustment device for a mobile phone display screen, the device comprising: a screen chromaticity data acquisition module, used to obtain a liquid crystal data matrix of screen chromaticity; a region division module, used to analyze the chromaticity deviation of each liquid crystal data point in the liquid crystal data matrix, and divide the liquid crystal data matrix into different regions; a regional chromaticity adjustment module, used to perform regional chromaticity adjustment on the liquid crystal data points according to the divided regions after the movement stops. The present application aims to ensure the accuracy of chromaticity adjustment and improve the efficiency of mobile phone screen chromaticity adjustment.

Description

Technical Field

[0001] The present application relates to the technical field of chromaticity adjustment, and in particular to a chromaticity monitoring and intelligent adjustment device for a mobile phone display screen. Background Art

[0002] Mobile phone screens are usually composed of liquid crystal data points, which emit RGB colors simultaneously to create a variety of patterns on the screen. Before the mobile phone screen leaves the factory, the mobile phone screen needs to be chromatically adjusted to ensure that the color of the entire mobile phone screen is accurate and the colors expressed in each area are the same.

[0003] Traditional mobile phone displays adjust the color by performing gamma correction on a single liquid crystal data point in the screen image, and set the corresponding gamma coefficient according to the color change law of the liquid crystal data point. For mobile phone screens with high resolution, due to its high resolution and large number of liquid crystal data points, the method of locating a single liquid crystal data point for color adjustment consumes a lot of adjustment time, affecting production efficiency, and the accuracy of color adjustment is not high. Summary of the invention

[0004] In order to solve the above technical problems, the purpose of this application is to provide a chromaticity monitoring and intelligent adjustment device for a mobile phone display screen. The technical solutions adopted are as follows:

[0005] The present application proposes a chromaticity monitoring and intelligent adjustment device for a mobile phone display screen, the device comprising:

[0006] Screen chromaticity data acquisition module, used to obtain the liquid crystal data matrix of screen chromaticity;

[0007] The area division module is used to analyze the chromaticity deviation of each liquid crystal data point in the liquid crystal data matrix and divide the liquid crystal data matrix into different areas; specifically:

[0008] S1, generating grid points on a liquid crystal data matrix, and performing preliminary area division on the liquid crystal data matrix according to distances from liquid crystal data points in the liquid crystal data matrix to the grid points;

[0009] S2, calculating a local non-uniformity characteristic value of any liquid crystal data point according to the degree of chromaticity non-uniformity near any liquid crystal data point;

[0010] S3, calculating a regional chaos characteristic value of any region according to the degree of chromatic chaos in any divided region;

[0011] S4, calculating a moving vector of the center point of any region by combining the local inhomogeneity eigenvalue, the regional disorder eigenvalue, and the distance and direction between all liquid crystal data points in any region and the center point of the region;

[0012] S5, after moving the center point of the region according to the center point moving vector, re-plan the region according to the distance from the liquid crystal data point to the center point of the region; repeat the movement several times and then stop;

[0013] The regional chromaticity adjustment module is used to perform regional chromaticity adjustment on the liquid crystal data points according to the areas divided after the movement stops.

[0014] Preferably, the method for generating the grid points is to evenly divide the liquid crystal data matrix into grid points of equal proportion according to a preset length-to-width ratio.

[0015] Preferably, the preliminary area division method is: taking all grid points as area center points respectively, selecting the corresponding area center point according to the shortest distance between the liquid crystal data point and all area center points and adding the corresponding area center point to the area where it is located.

[0016] Preferably, the method for calculating the local non-uniformity characteristic value is: select any liquid crystal data point, select a preset number of liquid crystal data points closest to the any liquid crystal data point; and use the degree of chromaticity disorder of all the selected liquid crystal data points as the local non-uniformity characteristic value.

[0017] Preferably, the regional disorder characteristic value is determined by the disorder degree of the chromaticity of all liquid crystal data points in the region.

[0018] Preferably, the disorder degree of the chromaticity is determined by the sum of disorder degrees of attribute values ​​of different items in the chromaticity.

[0019] Preferably, the calculation process of the center point movement vector is:

[0020] For each liquid crystal data point in any region, obtain each direction vector with the region center point of the region as the starting point and each liquid crystal data point as the end point;

[0021] The ratio of the regional chaos eigenvalue of the region where each liquid crystal data point is located to the local non-uniformity eigenvalue of the liquid crystal data point is used as the weight of the corresponding direction vector, and the direction vectors of all liquid crystal data points in the region are weighted summed to determine the center point movement vector of the region.

[0022] Preferably, in step S5, the method of re-planning the area is: selecting the area center point closest to the liquid crystal data point and adding the area where it is located.

[0023] Preferably, the stopping condition after the repeated movement is multiple times is: the module length of all center point movement vectors is less than or equal to a preset vector module length lower limit, or the number of repetitions reaches a preset maximum number of repetitions.

[0024] Preferably, the method for regionally adjusting the chromaticity is:

[0025] Get the preset screen color of the mobile phone screen and the average value of all chromaticities in each area, and record it as the overall color of each area;

[0026] The screen color and the overall color are converted into RGB space respectively to obtain the screen RGB color and the overall RGB color of each area;

[0027] For each channel in RGB, the ratio of the screen RGB color attribute value under each channel to the overall RGB color attribute value of each region is used as the gamma correction coefficient of the region under the corresponding channel;

[0028] The preset control voltage of the target liquid crystal data point is multiplied by the corresponding gamma correction coefficient to obtain the actual control voltage of the target liquid crystal data point.

[0029] This application has at least the following beneficial effects:

[0030] In view of the problem that the chromaticity adjustment efficiency is too slow and the accuracy is low due to the correction of liquid crystal data points one by one in the traditional gamma correction method, this embodiment proposes a method for adjusting the chromaticity of a mobile phone display screen, including: calculating a local non-uniformity characteristic value of any liquid crystal data point according to the degree of chromaticity non-uniformity near any liquid crystal data point, for analyzing the degree of chromaticity uniformity similarity near the liquid crystal data point and evaluating the quality of the division of the region where it is located; calculating a regional chaos characteristic value of any region according to the degree of chromaticity chaos in any divided region, for characterizing the degree of chromaticity characteristic chaos of the region, if the chromaticity characteristic of the region is more chaotic, the regional center point needs to move a longer distance when moving, so as to obtain a better regional division effect; combining the local non-uniformity characteristic value, the regional chaos characteristic value, and the distance and direction between all liquid crystal data points in any region and the regional center point, calculating the regional center point movement vector, for guiding the movement of the regional center point of the region, all regional center points continuously move according to the regional center point, and each movement can make the liquid crystal data points in the center of each divided region have similar chromaticity characteristics. After the regional center point of the area is moved according to the center point moving vector, the area is re-planned according to the distance from the liquid crystal data point to the regional center point; the movement is repeated several times and then stopped, and the liquid crystal data matrix is ​​divided into different areas. Since the chromaticity deviations of the liquid crystal data points in the divided areas are similar, the chromaticity of the liquid crystal data points can be regionally adjusted according to the divided areas, thereby improving the chromaticity adjustment efficiency while ensuring the chromaticity adjustment accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present application or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0032] Figure 1 A flow chart of a chromaticity monitoring and intelligent adjustment device for a mobile phone display provided in this application;

[0033] Figure 2 A flow chart of the process of dividing regions in the liquid crystal data matrix provided in this application;

[0034] Figure 3 A schematic diagram of the distribution of grid points in a liquid crystal data matrix provided in one embodiment of the present application. DETAILED DESCRIPTION

[0035] In order to further explain the technical means and effects adopted by the present application to achieve the predetermined invention purpose, the following is a detailed description of the specific implementation method, structure, features and effects of a chromaticity monitoring and intelligent adjustment device for a mobile phone display screen proposed in accordance with the present application, in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0036] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0037] The following is a detailed description of a specific scheme of a chromaticity monitoring and intelligent adjustment device for a mobile phone display provided by the present application in conjunction with the accompanying drawings.

[0038] See also Figure 1 , which shows a flow chart of a chromaticity monitoring and intelligent adjustment device for a mobile phone display screen provided by an embodiment of the present application, the device comprising:

[0039] The screen chromaticity data acquisition module is used to obtain the liquid crystal data matrix of the screen chromaticity.

[0040] In this embodiment, the mobile phone is first fixed, and the mobile phone screen is controlled to emit light through the control system of the mobile phone screen. The control parameter is the screen color. ; Screen color It is a commonly used constant D65 white point in the field of image processing, which means that the color emitted by the screen is white under the control of this parameter.

[0041] Furthermore, in this embodiment, a CCD camera is installed just above the mobile phone screen to shoot the mobile phone screen to obtain surface chromaticity monitoring data of the mobile phone screen, and the data is stored in the form of an RGB image; the obtained RGB image is processed by the following processing method:

[0042] The obtained RGB image is used as input, and the color space conversion algorithm is used to calculate, and the conversion format is from RGB color space to XYZ color space, and the output is an image, which is recorded as the detection image. Among them, color space conversion is a common technology in the field of image processing.

[0043] Furthermore, the liquid crystal data points in the detection image are identified. Identifying the liquid crystal data points by detecting the image is a well-known technique in the field of image processing and will not be described in detail. The mobile phone screen detected in this embodiment is a 1920*1080 mobile phone screen, so there are a total of K=1920*1080 liquid crystal data points. Therefore, the result of identifying the liquid crystal data points in the detection image in this embodiment is a data matrix, recorded as a liquid crystal data matrix. This data matrix is ​​a 1920*1080 matrix. A single element in the data matrix is ​​a feature vector composed of three components XYZ, where the i-th element is recorded as a liquid crystal data point. , represents the chromaticity of the i-th liquid crystal data point.

[0044] Since the control parameter is screen color , so the liquid crystal data points in the liquid crystal data matrix are consistent with the screen color The inconsistent liquid crystal data point position i represents that the i-th liquid crystal data point has a chromaticity deviation and needs to be adjusted. This embodiment adjusts the chromaticity by adjusting the control voltage of the liquid crystal through gamma correction. Gamma correction is a well-known technology and will not be described in detail.

[0045] Therefore, each time the colorimetric data of the mobile phone screen is detected, a liquid crystal data matrix can be obtained.

[0046] The area division module is used to analyze the chromaticity deviation of each liquid crystal data point in the liquid crystal data matrix and divide the liquid crystal data matrix into different areas.

[0047] The traditional chromaticity adjustment method is to monitor and adjust the chromaticity of a single liquid crystal data point. When facing a high-resolution mobile phone screen, this method will cause a long adjustment time due to the large amount of data to be processed, affecting production efficiency. In this regard, this embodiment divides the mobile phone screen into multiple areas and performs regional correction on the liquid crystal data points on the mobile phone screen. Compared with the correction method for a single liquid crystal data point, the chromaticity adjustment can be completed faster.

[0048] This embodiment uses regional correction to replace the correction method of single liquid crystal data point correction in the traditional algorithm, so the entire mobile phone screen needs to be divided; the goal of regional division is: the color difference of the liquid crystal data points within a single area is as small as possible. Because when performing regional division, the smaller the difference of the liquid crystal data points in a single area, the more similar the chromaticity deviation of the liquid crystal data points in the area is, and when performing chromaticity adjustment, the chromaticity adjustment result of using the same gamma coefficient to adjust it is better.

[0049] In this regard, the present application proposes a flow chart of the process of dividing regions in a liquid crystal data matrix, such as Figure 2 As shown, specifically:

[0050] S1, generating grid points on a liquid crystal data matrix, and performing preliminary area division on the liquid crystal data matrix according to the distances from the liquid crystal data points in the liquid crystal data matrix to the grid points.

[0051] This embodiment uses a method of generating regional centers to divide the area of ​​the mobile phone screen. The specific method is: generating a set of grid points on the collected liquid crystal data matrix. Among them, the mobile phone screen used in this embodiment is a 16:9 screen. Based on this, this embodiment evenly divides the liquid crystal data matrix according to the aspect ratio to generate an equal proportional number of grid points.

[0052] As an implementation of this embodiment, taking the liquid crystal data matrix to generate 16*9 grid points as an example, the distribution diagram of the grid points in the liquid crystal data matrix is ​​as shown in the attached figure. Figure 3 shown.

[0053] exist Figure 3 In the figure, the overall box is the liquid crystal data matrix, and each circle with a diamond pattern is a selected grid point. Figure 3 The liquid crystal data matrix in the image generates 16*9 grid points, and the grid points are evenly distributed. Among them, the grid points are also liquid crystal data points.

[0054] In the grid point generation of other implementations, N=16*5*9*5 grid points are generated, that is, a grid array with a length of 80 and a width of 45 is generated, in which the grid points are evenly distributed on the 16:9 screen.

[0055] Finally, the nth grid point is used as the nth region center point. Subsequently, this embodiment will divide the region according to the region center point, and screen the region division method to obtain the expected division result, and adjust the gamma coefficient according to the division result.

[0056] For the liquid crystal data points in the liquid crystal data matrix, the area can be divided according to the grid points. The division method is:

[0057] There are K liquid crystal data points in the liquid crystal data matrix. For the k-th liquid crystal data point, the Euclidean distance between it and all the regional center points is calculated respectively, and then the regional center point n corresponding to the shortest Euclidean distance is selected, and the k-th liquid crystal data point belongs to the n-th regional center point;

[0058] Finally, each of the K liquid crystal data points has a region to which it belongs, and the liquid crystal data matrix is ​​divided into N regions in total.

[0059] This embodiment has obtained N areas, and further adjusts the allocation of divided areas by controlling the movement of the center points of the areas, so that the chromaticity characteristics of the liquid crystal data points in the divided areas are similar, so that when the regional chromaticity adjustment is performed through the divided areas later, better chromaticity adjustment results can be obtained.

[0060] S2, calculating a local non-uniformity characteristic value of any liquid crystal data point according to the degree of chromaticity non-uniformity near any liquid crystal data point.

[0061] For the entire mobile phone screen, there are a total of K liquid crystal data points. When moving the center point of the region, the center point of the nth region should be moved to the liquid crystal data point region with similar chromaticity characteristics. In this way, the more similar the chromaticity characteristics of the liquid crystal data points allocated around the center point of the nth region are, the better the nth divided region is. Therefore, this embodiment calculates the weight of the chromaticity uniformity of each liquid crystal data point, and replaces it with the local non-uniformity characteristic value to characterize whether the chromaticity characteristics of the liquid crystal data points near the kth liquid crystal data point are similar.

[0062] First, obtain H = 50 liquid crystal data points with the closest Euclidean distance to the k-th liquid crystal data point, including the k-th liquid crystal data point, where the chromaticity of the h-th liquid crystal data point is , then there are H number of x-th attribute values ​​in the chromaticity of H liquid crystal data points, and the standard deviation of the H number is calculated as the non-uniformity characteristic value of the k-th liquid crystal data point on the x-th attribute value;

[0063] Furthermore, the sum of the non-uniformity characteristic values ​​of the kth liquid crystal data point on the xth, yth, and zth attribute values ​​is taken as the local non-uniformity characteristic value of the kth liquid crystal data point. The smaller the value, the more uniform the chromaticity of the area near the kth liquid crystal data point, and the closer the kth liquid crystal data point is to the direction in which the center point of the nth area needs to move.

[0064] S3, calculating a regional chaos feature value of any region according to the degree of chromaticity chaos in any divided region.

[0065] For the center point of the nth region, it is necessary to observe the local inhomogeneity characteristic values ​​of the surrounding liquid crystal data points to move the center point of the region, and to move the center point of the region toward the liquid crystal data point with a low local inhomogeneity characteristic value to obtain a good region division effect.

[0066] When moving the center of a region, attention should be paid to the distance of the movement. As for the method for obtaining the distance of the movement, this embodiment calculates the regional chaos feature value of the nth region to characterize the degree of chaos of the chromaticity feature of the nth region. If the chromaticity feature of the nth region is more chaotic, the center point of the nth region needs to move a longer distance when moving to obtain a better regional division effect.

[0067] There are M liquid crystal data points for the nth region, and the chromaticity of the mth liquid crystal data point is , then there are a total of M number of x-th attribute values ​​in the chromaticity of M liquid crystal data points, and the standard deviation of the M number is calculated as the non-uniformity characteristic value of the n-th divided area on the x-th attribute value.

[0068] Furthermore, the sum of the non-uniformity characteristic values ​​of the nth region on the x, y, and z attribute values ​​is taken as the regional chaos characteristic value of the nth region. The larger the value, the more chaotic the chromaticity characteristics of the nth region, and the greater the distance the regional center point of the nth region needs to move to reach a better position.

[0069] S4, combining the local inhomogeneity eigenvalue, the regional chaos eigenvalue, and the distance and direction between all liquid crystal data points in any region and the center point of the region, to calculate the center point movement vector of any region.

[0070] Furthermore, this embodiment combines the regional chaos eigenvalue and the local non-uniformity eigenvalue to calculate the center moving weight for each liquid crystal data point in the nth region, representing the different reference levels for the M liquid crystal data points when moving the center point of the nth region.

[0071] First, the local inhomogeneity characteristic value of the mth liquid crystal data point is obtained, and the regional disorder characteristic value of the nth region is further divided by the local inhomogeneity characteristic value of the mth liquid crystal data point, which is recorded as the center point moving weight of the mth liquid crystal data point. .

[0072] It should be understood that the larger the regional chaos eigenvalue is, the more chaotic the chromaticity characteristics of the nth region are, and the larger the distance the regional center point should be moved when moving. Therefore, all center point movement weights of the nth region will increase with the increase of the local non-uniformity eigenvalue of the nth region; the smaller the mth local non-uniformity eigenvalue is, the larger the center point movement weight of the mth liquid crystal data point is, the more uniform the chromaticity characteristics of the region where the corresponding mth liquid crystal data point is located, and the closer the center point of the nth region moves to the region where the mth liquid crystal data point is located.

[0073] For the nth region center point, this embodiment obtains the coordinates of the region center point in the measurement image: , and simultaneously obtain the coordinates of the mth liquid crystal data point in the measurement image , then with coordinates As the starting point, with coordinates As the end point, construct a vector and record it as the direction vector of the mth liquid crystal data point in the nth region. .

[0074] Further, for the M liquid crystal data points in the nth region, the direction vectors of the M liquid crystal data points are weighted and summed with the center point movement weights of these liquid crystal data points as weights to obtain the sum vector : , recorded as the moving vector of the center point of the nth region. It is the proportional coefficient of the center point movement vector. In this embodiment, it is set to 0.1. The purpose is to adjust the modulus of the center point movement vector to avoid the area center point moving too fast and missing a better area center point position. The specific value can be set by the implementer.

[0075] It should be understood that the center point movement weight The larger the value is, the more the center point of the nth region should move toward the direction of the mth liquid crystal data point. At the same time, the direction vector The direction indicated by represents the moving direction of the center point of the nth region to the mth liquid crystal data point, and the direction vector The longer the modulus is, the farther the m-th liquid crystal data point is from the center point of the n-th region, and the longer the distance the center point of the n-th region should move toward the m-th liquid crystal data point.

[0076] Finally, the obtained center point movement vector is used to guide the movement of the regional center point of the area, and all regional center points continuously move according to the regional center point. Each movement can make the liquid crystal data points in the center of each divided area have similar chromaticity characteristics.

[0077] As the number of movements increases, in the final area division result, the liquid crystal data points in each area have similar chromaticity characteristics. At this time, the same gamma correction coefficient is used for the liquid crystal data points corresponding to these liquid crystal data points. While achieving a better chromaticity adjustment effect, it avoids the large amount of calculation caused by debugging the gamma correction coefficient of the liquid crystal elements one by one, thereby improving the adjustment efficiency of the chromaticity adjustment of the mobile phone display.

[0078] S5, after moving the center point of the region according to the center point moving vector, re-plan the region according to the distance from the liquid crystal data point to the center point of the region; repeat the movement several times and then stop.

[0079] Through step S4, N center point movement vectors are obtained for the N area center points, and the N area center points are moved according to the center point movement vectors to complete the movement of the area center points and obtain a new area center point distribution result.

[0080] The center point moving vector of the center point of the nth region will guide the center point of the region to move to the region with uniform chromaticity characteristics, so that the liquid crystal data points in the nth divided region are pixels with uniform chromaticity characteristics. The specific moving method is: the moving direction is the direction of the center point moving vector, the moving step length is the modulus length of the center point moving vector, and the current center point of the region is moved according to the moving direction and the moving step length to obtain a new center point of the region.

[0081] This embodiment uses an iterative method to continuously calculate the center point movement vector of the area center point, so that the area center point continuously moves toward the center of the area with uniform chromaticity characteristics. As the number of iterations increases, the length of the center point movement vector will become smaller and smaller until the chromaticity characteristics of the liquid crystal data points around the area center point are very uniform, the length of the center point movement vector is close to 0, and the area center point no longer moves.

[0082] Therefore, this embodiment repeats steps S2, S3, S4, and S5 until the module length of all center point movement vectors in the repetition process is less than or equal to A, or the number of repetitions reaches B times, and then stops the repetition to obtain the final regional center point distribution result.

[0083] In this embodiment, the lower limit of the vector modulus length is A=3, and the maximum number of repetitions is B=50 times.

[0084] Since this embodiment constructs the center point of the moving area of ​​the center point moving vector according to the chromaticity information of the liquid crystal data point, in the final area division result, the liquid crystal data points in each divided area have similar chromaticity characteristics and can be corrected using the same gamma coefficient, which can not only improve the screen correction efficiency but also ensure the accuracy of the mobile phone screen chromaticity adjustment.

[0085] The regional chromaticity adjustment module is used to perform regional chromaticity adjustment on the liquid crystal data points according to the areas divided after the movement stops.

[0086] Furthermore, the area division module is repeatedly moved for multiple times and then stopped, so that in the final area division result, the liquid crystal data points in each area have similar chromaticity characteristics and can be corrected using the same gamma coefficient, which can not only improve the screen correction efficiency but also ensure the accuracy of the mobile phone screen color adjustment.

[0087] The liquid crystal data points are divided into N areas according to the area division module. When the chromaticity is adjusted, the chromaticity of the liquid crystal data points is adjusted according to the area. The specific method is as follows:

[0088] First, the control system of the mobile phone screen controls the light emission of the liquid crystal data points on the mobile phone screen, and the control parameter is the screen color , and simultaneously obtain the liquid crystal data matrix of the mobile phone screen; further obtain the monitoring data of the liquid crystal data points belonging to the nth area on the liquid crystal data matrix, calculate the average chromaticity of these liquid crystal data points, and record it as the overall color of the nth area .

[0089] Furthermore, the screen color and the overall color are converted into color spaces, and the conversion format is from XYZ color space to RGB color space, and the output is two coordinate points, which are recorded as screen RGB color and the overall RGB color of the nth region .

[0090] Finally, using the screen RGB color and the overall RGB color of the nth region , calculate the gamma correction coefficient of the nth region as:

[0091]

[0092]

[0093]

[0094] in, , , are the gamma correction coefficients of the red, green and blue channels of the liquid crystal data point in the nth region, that is, when the liquid crystal data point in the nth region emits light, the correction coefficients of the light emission type of red are ; The correction factor for green luminescence type is ; The correction factor for the blue luminescence type is .

[0095] According to the control voltage of the target liquid crystal data point , for the target liquid crystal data point Multiply it by the corresponding gamma correction coefficient to obtain the actual control voltage of the target liquid crystal data point.

[0096] Among them, this embodiment sets the gamma correction coefficient for the liquid crystal data point according to the brightness difference of the mobile phone screen in the RGB color space, wherein the ratio of the screen color and the overall color is used to characterize the difference between the actual luminous brightness and the standard luminous brightness of the target liquid crystal data point, and the ratio is used as the adjustment coefficient. In the subsequent luminous control of the target liquid crystal data point, the target liquid crystal data point is made to emit the standard luminous brightness through the adjustment coefficient, thereby avoiding the chromaticity deviation of the mobile phone screen and completing the chromaticity correction of the mobile phone screen.

[0097] The chromaticity correction method adopted in this embodiment performs regional chromaticity correction on the mobile phone. Compared with the traditional method of correcting the chromaticity of a single liquid crystal data point, the method described in this embodiment completes the rapid correction of the chromaticity of the liquid crystal data point while ensuring the accuracy of chromaticity adjustment, thereby improving the efficiency of chromaticity adjustment of the mobile phone screen.

[0098] The various embodiments in the present application are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

[0099] It should be noted that, unless otherwise specified and limited, terms such as "include", "comprises" or any other variants thereof are intended to cover non-exclusive inclusion, so that a circuit structure, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such article or device. In the absence of further restrictions, an element defined by the sentence "including one..." does not exclude the existence of other identical elements in the article or device including the element. In addition, the term "and\or" used herein includes any and all combinations of one or more related listed items.

[0100] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the invention herein. The present application is intended to cover any variations, uses or adaptations of the present application, which follow the general principles of the present application and include common knowledge or customary technical means in the art that are not invented by the present application.

[0101] It should be understood that the present application is not limited to the exact construction that has been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof.

Claims

1. A chromaticity monitoring and intelligent adjustment device for a mobile phone display screen, characterized in that: The device comprises: Screen chromaticity data acquisition module, used to obtain the liquid crystal data matrix of screen chromaticity; The area division module is used to analyze the chromaticity deviation of each liquid crystal data point in the liquid crystal data matrix and divide the liquid crystal data matrix into different areas; specifically: S1, generating grid points on a liquid crystal data matrix, and performing preliminary area division on the liquid crystal data matrix according to distances from liquid crystal data points in the liquid crystal data matrix to the grid points; S2, calculating a local non-uniformity characteristic value of any liquid crystal data point according to the degree of chromaticity non-uniformity near any liquid crystal data point; S3, calculating a regional chaos characteristic value of any region according to the degree of chromatic chaos in any divided region; S4, calculating a moving vector of the center point of any region by combining the local inhomogeneity eigenvalue, the regional disorder eigenvalue, and the distance and direction between all liquid crystal data points in any region and the center point of the region; S5, after moving the center point of the region according to the center point moving vector, re-plan the region according to the distance from the liquid crystal data point to the center point of the region; repeat the movement several times and then stop; The regional chromaticity adjustment module is used to perform regional chromaticity adjustment on the liquid crystal data points according to the areas divided after the movement stops.

2. A chromaticity monitoring and intelligent adjustment device for a mobile phone display screen as claimed in claim 1, characterized in that: The method for generating the grid points is to evenly divide the liquid crystal data matrix into grid points of equal proportion according to a preset length-to-width ratio.

3. A chromaticity monitoring and intelligent adjustment device for a mobile phone display screen as claimed in claim 1, characterized in that: The method for the preliminary area division is: taking all grid points as area center points respectively, selecting the corresponding area center point according to the shortest distance between the liquid crystal data point and all area center points and adding the corresponding area center point to the area where it is located.

4. A chromaticity monitoring and intelligent adjustment device for a mobile phone display screen as claimed in claim 1, characterized in that: The method for calculating the local non-uniformity characteristic value is: selecting any liquid crystal data point, selecting a preset number of liquid crystal data points closest to the any liquid crystal data point; and using the degree of chromaticity disorder of all the selected liquid crystal data points as the local non-uniformity characteristic value.

5. The chromaticity monitoring and intelligent adjustment device for a mobile phone display screen according to claim 1, characterized in that: The regional disorder characteristic value is determined by the disorder degree of the chromaticity of all liquid crystal data points in the region.

6. A chromaticity monitoring and intelligent adjustment device for a mobile phone display screen as claimed in claim 4 or 5, characterized in that: The degree of confusion of the chromaticity is determined by the sum of the degrees of confusion of the attribute values ​​of different items in the chromaticity.

7. A chromaticity monitoring and intelligent adjustment device for a mobile phone display screen as claimed in claim 1, characterized in that: The calculation process of the center point movement vector is: For each liquid crystal data point in any region, obtain each direction vector with the region center point of the region as the starting point and each liquid crystal data point as the end point; The ratio of the regional chaos eigenvalue of the region where each liquid crystal data point is located to the local non-uniformity eigenvalue of the liquid crystal data point is used as the weight of the corresponding direction vector, and the direction vectors of all liquid crystal data points in the region are weighted summed to determine the center point movement vector of the region.

8. The chromaticity monitoring and intelligent adjustment device for a mobile phone display screen according to claim 1, characterized in that: In step S5, the method of re-planning the area is: selecting the area center point closest to the liquid crystal data point and adding the area where it is located.

9. The chromaticity monitoring and intelligent adjustment device for a mobile phone display screen according to claim 1, characterized in that: The stopping condition after the repeated movement is multiple times is: the module length of all center point movement vectors is less than or equal to the preset vector module length lower limit, or the number of repetitions reaches the preset maximum number of repetitions.

10. The chromaticity monitoring and intelligent adjustment device for a mobile phone display screen according to claim 1, characterized in that: The method for regional adjustment of chromaticity is: Get the preset screen color of the mobile phone screen and the average value of all chromaticities in each area, and record it as the overall color of each area; The screen color and the overall color are converted into RGB space respectively to obtain the screen RGB color and the overall RGB color of each area; For each channel in RGB, the ratio of the screen RGB color attribute value under each channel to the overall RGB color attribute value of each region is used as the gamma correction coefficient of the region under the corresponding channel; The preset control voltage of the target liquid crystal data point is multiplied by the corresponding gamma correction coefficient to obtain the actual control voltage of the target liquid crystal data point.

Images