CN113257174A - Method for determining chromaticity correction target color gamut of LED display screen - Google Patents
Method for determining chromaticity correction target color gamut of LED display screen Download PDFInfo
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- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- G09G3/00—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes
- G09G3/20—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters
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- G09G3/30—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters using controlled light sources using electroluminescent panels
- G09G3/32—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters using controlled light sources using electroluminescent panels semiconductive, e.g. using light-emitting diodes [LED]
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Abstract
The invention relates to a method for determining a chromaticity correction target color gamut of an LED display screen, which comprises the steps of firstly acquiring and storing three primary color coordinates of all pixel points of the LED display screen through acquisition equipment, wherein the three primary color coordinates of each pixel point form a color gamut triangle in a surrounding manner; sequentially searching the maximum value and the minimum value of the x and y coordinates in the x and y directions in a three-primary-color coordinate area respectively, and taking the maximum value point in a certain color gamut and the coordinate points in other corresponding color gamuts as characteristic value points; connecting a small number of screened characteristic value points into a color gamut triangle; and screening three points which are closest to the center of the color gamut in intersection points formed among different color gamut triangles to obtain the vertex of the target color gamut triangle. The invention greatly improves the operation efficiency while ensuring the accuracy.
Description
Technical Field
The invention belongs to the technical field of LED display screen chromaticity correction, and relates to a method for determining a chromaticity correction target color gamut of an LED display screen.
Background
With the technical progress of point-by-point correction, the display quality requirements of the market on the LED display screen are higher and higher, and the requirements on the display uniformity and the color fidelity have been improved from only pursuing the indexes of brightness and white balance. The first problem faced in LED display screen chromaticity correction is the selection of a reference color gamut space. According to the colorimetry principle, the reference color space is selected too much, and partial display pixels can not finish the uniformity correction of colors; the specific advantage of wide color gamut of the LED display screen is damaged by selecting the reference color space too small, and the display effect is influenced. The method for determining the target value of the color coordinate in the current industry is only roughly calculated, and the calculation result is not high in precision; or fine adjustment is carried out on the preliminary calculation, and the calculation result has great uncertainty; or the calculation method is complex and the calculation amount is extremely large.
Disclosure of Invention
The invention aims to provide a method for determining a chromaticity correction target color gamut of an LED display screen, which has the advantages of small operand and high accuracy.
The method for determining the chromaticity correction target color gamut of the LED display screen specifically comprises the following steps:
step 1, collecting color coordinates of all pixel points of an LED display screen by using collection equipment;
step 2, determining color coordinate target values of the red, green and blue color coordinate areas:
finding the y minimum value point of the red coordinates of all pixel points in the red area of the CIE1931 color space and setting the y minimum value point as a characteristic value point RryixiFinding a feature value point RryixiCorresponding coordinate points of the affiliated pixel points in the green area are set as characteristic value points Rgyixi(ii) a Finding the minimum value point of x in the red area and setting the point as a characteristic value point RrxiyiFinding a feature value point RrxiyiCorresponding coordinate points of the affiliated pixel points in the green area are set as characteristic value points Rgxiyi(ii) a Finding the minimum value point of x in the red area and setting the point as a characteristic value point RrxiyaFinding a feature value point RrxiyaThe corresponding coordinate point of the pixel point in the blue area is set as a characteristic value point Rbxiya(ii) a Searching the y maximum value point in the red area and setting the point as a characteristic value point RryaxiFinding a feature value pointRryaxiThe coordinate point of the pixel point in the blue area is set as the characteristic value point Rbyaxi(ii) a The characteristic value point RryixiWith RgyixiCharacteristic value point RrxiyiWith RgxiyiCharacteristic value point RrxiyaAnd RbxiyaCharacteristic value point RryaxiAnd RbyaxiFour pairs of characteristic value points are respectively connected and named as characteristic value lines Lrgyixi、Lrgxiyi、Lrbxiya、LrbyaxiThe characteristic value line Lrgyixi、LrgxiyiAnd Lrbxiya、LrbyaxiIntersecting every two points to obtain all intersection points and screening the point with the minimum x as a color coordinate target value of the red area;
finding the x maximum value point in the green area of CIE1931 color space and setting the x maximum value point as a characteristic value point GgxayiFinding a characteristic value point GgxayiSetting the corresponding coordinate point of the pixel point in the blue area as the characteristic value point Gbxayi(ii) a Finding the minimum value point of y in the green area and setting the minimum value point as a characteristic value point GgyixaFinding a characteristic value point GgyixaCorresponding coordinate points of the pixel points in the blue region are set as characteristic value points Gbyixa(ii) a Finding the minimum value point of y in the green area and setting the minimum value point as a characteristic value point Ggyixi. Searching for characteristic value point GgyixiSetting the corresponding coordinate point of the affiliated pixel point in the red area as a characteristic value point Gryixi(ii) a Find the minimum x point in the green region and set it as GgxiyiFinding a characteristic value point GgxiyiSetting the corresponding coordinate point of the affiliated pixel point in the red area as a characteristic value point Grxiyi(ii) a The characteristic value point GgxayiAnd GbxayiCharacteristic value point GgyixaAnd GbyixaCharacteristic value point GgyixiAnd GryixiCharacteristic value point GgxiyiAnd GrxiyiFour pairs of characteristic value points are connected and named as characteristic value lines Lgbxayi、Lgbyixa、Lgryixi、Lgrxiyi(ii) a The characteristic value line Lgbxayi、LgbyixaAnd Lgryixi、LgrxiyiIntersecting every two points to obtain all intersection points and screening the point with the minimum y as a green area color coordinate target value;
finding the y maximum value point in the blue region of CIE1931 color space and setting the y maximum value point as a characteristic value point BbyaxiFinding a feature value point BbyaxiSetting the corresponding coordinate point of the affiliated pixel point in the red area as a characteristic value point Bryaxi(ii) a Finding the x minimum value point in the blue area and setting the x minimum value point as a characteristic value point BbxiyaFinding a feature value point BbxiyaSetting the corresponding coordinate point of the affiliated pixel point in the red area as a characteristic value point Brxiya(ii) a Finding the x maximum value point in the blue area and setting the x maximum value point as the characteristic value point BbxayiFinding a feature value point BbxayiSetting the corresponding coordinate point of the pixel point in the green area as a characteristic value point Bgxayi(ii) a Finding the minimum y value point in the blue area and setting the minimum y value point as a characteristic value point BbyixaFinding a feature value point BbyixaSetting the corresponding coordinate point of the pixel point in the green area as the characteristic value point Bgyixa(ii) a The characteristic value point BbyaxiWith BryaxiCharacteristic value point BbxiyaWith BrxiyaCharacteristic value point BbxayiAnd BgxayiCharacteristic value point BbyixaAnd BgyixaFour pairs of eigenvalue points are connected and named as eigenvalue lines Lbryaxi、Lbrxiya、Lrgxayi、Lbgyixa(ii) a The characteristic value line Lbryaxi、LbrxiyaAnd Lrgxayi、LbgyixaIntersecting every two points to obtain all intersection points, and screening the points with the maximum x and the maximum y as the target value of the color coordinates of the blue area;
and 3, connecting the color coordinate target values of the red, green and blue areas pairwise to obtain a theoretically maximum public triangle, namely the maximum public color gamut triangle of the LED display screen.
In step 2, when the y minimum value point in the red area is not unique, the x minimum value point in the y minimum value point is preferably set as the feature value point Rryixi。
In the step 2, when the x minimum value point in the red area is not unique, the y minimum value point in the x minimum value is preferably set as the characteristic value point RrxiyiCorresponding to the characteristic value point Rgxiyi(ii) a Preferably, the y maximum point among the x minimum points is set as the feature value point RrxiyaCorresponding to the feature value point Rbxiya。
In step 2, when the y maximum point in the red area is not unique, the x minimum point in the y maximum point is preferably set as the feature value point Rryaxi。
In the step 2, when the x maximum points of the green region are not unique, it is preferable that the y minimum point of the x maximum points is set as the feature value point Ggxayi。
In the step 2, when the y minimum points in the green region are not unique, it is preferable that the x maximum point in the y minimum points is set as the feature value point GgyixaCorresponding to the characteristic value point Gbyixa(ii) a Preferably, the x minimum point among the y minimum points is set as the feature point GgyixiCorresponding to the feature value point Gryixi。
In the step 2, when the x minimum value points in the green region are not unique, it is preferable that the y minimum value point in the x minimum value points is set as the feature value point Ggxiyi。
In the step 2, when the y maximum points in the blue region are not unique, it is preferable that the x minimum point in the y maximum points is set as the feature point Bbyaxi。
In the step 2, when the x minimum points in the blue region are not unique, it is preferable that the y maximum point among the x minimum points is set as the feature value point Bbxiya。
In the step 2, when the x maximum points are not unique, it is preferable that the y minimum point among the x maximum points is set as the feature point Bbxayi。
In the step 2, when the y minimum points in the blue region are not unique, it is preferable that the x maximum point among the y minimum points is set as the feature value point Bbyixa。
The selection of the reference color space can be realized by determining a color gamut triangle, and the color gamut of the LED display pixels can be regarded as a triangle surrounded by color coordinates of red, green and blue LEDs. Due to the discreteness of the color coordinates of the LEDs of each level, the color gamut of each display pixel also has a certain difference. The color coordinates of each pixel of the LED display screen can be enclosed into a color gamut triangle, and in order to make the LED display screen have a better display effect, the maximum common color gamut triangle of all pixel color coordinates needs to be calculated. Aiming at the problem that the maximum public area of the color gamut triangle is difficult to determine due to more pixel points of the LED display screen, the invention designs a new method for quickly and accurately determining the color gamut triangle, the highest precision can reach more than 90 percent, and compared with the existing method, the method not only ensures the precision, but also greatly improves the operation efficiency.
The method can ensure the accuracy and simultaneously quickly calculate the color coordinates of the three primary colors of red, green and blue, thereby improving the display effect of the LED display screen and widening the color gamut range of the LED display screen as much as possible. The method has the advantages that no matter how many the number of the lamp points of the display screen is, few color coordinates are obtained through the first-step screening for the next-step calculation, most useless color coordinates are removed, the calculation redundancy is reduced, and the calculated target value has no error theoretically.
Drawings
Fig. 1 is a schematic diagram illustrating a principle of color coordinate target value screening using 6 lamp points as an example.
Fig. 2a, fig. 2b, and fig. 2c are schematic diagrams of display results of three regions of triangular red, green, and blue in the color space CIE1931, respectively, of the color gamut of the LED display screen calculated by the present invention.
FIG. 3 is a schematic diagram of relative positions of color coordinates of red, green and blue pixels of an LED display screen and vertices of a color gamut triangle obtained by calculating corresponding colors.
Detailed Description
According to the method for determining the chromaticity correction target color gamut of the LED display screen, firstly, the red, green and blue coordinates of all pixel points of the LED display screen are acquired through acquisition equipment and stored, and the red, green and blue coordinates of each pixel point enclose a color gamut triangle. Respectively searching the maximum value and the minimum value of the x and y coordinates in the x and y directions in the red, green and blue color coordinate areas in turn, and taking the maximum value point in a certain color gamut and the coordinate points in other corresponding color gamuts as characteristic value points; connecting a small number of screened characteristic value points into a color gamut triangle; and screening three points which are closest to the center of the color gamut in intersection points formed among different color gamut triangles to obtain the vertex of the target color gamut triangle.
The eigenvalue points are named in the following way: the first capital letter is the area color of the starting point, the second lower case letter is the area color of the corresponding target coordinate point of the pixel point to which the starting point belongs, the first lower corner mark is the initial sorting direction, the horizontal direction is x, the vertical direction is y, the second lower corner mark is the initial sorting target value characteristic, i is the minimum, a is the maximum, the third lower corner mark is the secondary sorting direction, the fourth lower corner mark is the secondary sorting target value characteristic, i is the minimum, and a is the maximum.
Taking 6 pixel points as an example as shown in fig. 1, the method for determining the chromaticity correction target color gamut of the LED display screen of the present invention specifically includes the following steps:
step 1, fixing a collection device in front of an LED display screen, ensuring that the center position of the LED display screen is perpendicular to the main axis of the collection device, and ensuring that the color coordinates of the pixels of the whole screen can be accurately collected; and acquiring red, green and blue coordinates of all pixel points of the LED display screen through acquisition equipment and inputting the coordinates into a computer.
Step 2, determining color coordinate target values of red, green and blue color coordinate areas;
step 2.1, determining a color coordinate target value of a red area;
finding the y minimum value points of the red coordinates of all pixel points in the red area of the CIE1931 color space (in the figure 1, the horizontal direction is the x axis, and the vertical direction is the y axis), if the number of the y minimum value points is not unique, preferably selecting the x minimum value point in the y minimum value points, and setting the point as a characteristic value point Rryixi(ii) a If the y minimum value point is unique, directly setting the point as a characteristic value point Rryixi(ii) a Finding a feature value point RryixiCorresponding coordinate points of the affiliated pixel points in the green area are set as characteristic value points RgyixiThat is, the red coordinate point of the pixel point is the characteristic value RryixiThe green coordinate point is a characteristic value point Rgyixi。
Searching the x minimum value point in the red area, if the number of the x minimum value points is not unique, preferably selecting the y minimum value point in the x minimum value, and setting the point as a characteristic value point RrxiyiIf the minimum value point of x is unique, directly setting the point as a characteristic value point RrxiyiFinding a feature value point RrxiyiCorresponding coordinate points of the affiliated pixel points in the green area are set as characteristic value points Rgxiyi；
Searching the x minimum value point in the red area, if the number of the x minimum value points is not unique, preferably selecting the y maximum value point in the x minimum value points, and setting the point as a characteristic value point RrxiyaIf the minimum value point of x is unique, directly setting the point as the characteristic value point RrxiyaFinding a feature value point RrxiyaThe corresponding coordinate point of the pixel point in the blue area is set as a characteristic value point Rbxiya。
Searching the y maximum value point in the red area, if the number of the y maximum value points is not unique, preferably selecting the x minimum value point in the y maximum value points, and setting the point as a characteristic value point RryaxiIf the y maximum value point is unique, directly setting the point as the characteristic value point RryaxiFinding a feature value point RryaxiThe coordinate point of the pixel point in the blue area is set as the characteristic value point Rbyaxi。
The characteristic value point RryixiAnd the characteristic value point RgyixiCharacteristic value point RrxiyiAnd the characteristic value point RgxiyiCharacteristic value point RrxiyaAnd a feature point RbxiyaCharacteristic value point RryaxiAnd a feature point RbyaxiFour pairs of characteristic value points are respectively connected and named as characteristic value lines Lrgyixi、Lrgxiyi、Lrbxiya、LrbyaxiThe characteristic value line Lrgyixi、LrgxiyiAnd Lrbxiya、LrbyaxiAnd intersecting every two to obtain all intersection points and screening the point with the minimum x (namely the point closest to the center of the color gamut triangle) as the target value of the color coordinates of the red area.
Step 2.2, determining a color coordinate target value of the green area;
the characteristic value point Gg can be determined in the same way as the step 2.1xayi(y-minimum point among x-maximum points in green region or x-maximum points where x-maximum points are not unique), Gbxayi(feature value point Gg)xayiCorresponding coordinate point of the pixel point in the blue area), Ggyixa(the y-minimum point of the green region,x maximum point among y minimum points where y minimum points are not unique), Gbyixa(feature value point Gg)yixaCorresponding coordinate point of the pixel point in the blue area), Ggyixi(y minimum point in green region, x minimum point in y minimum points where y minimum point is not unique), Gryixi(feature value point Gg)yixiCorresponding coordinate point of affiliated pixel point in red region), Ggxiyi(x-minimum points in the green region, y-minimum points among x-minimum points where x-minimum points are not unique), Grxiyi(feature value point Gg)xiyiThe corresponding coordinate point of the pixel point in the red area);
the characteristic value point GgxayiAnd GbxayiCharacteristic value point GgyixaAnd GbyixaCharacteristic value point GgyixiAnd GryixiCharacteristic value point GgxiyiAnd GrxiyiFour pairs of characteristic value points are connected and named as characteristic value lines Lgbxayi、Lgbyixa、Lgryixi、Lgrxiyi(ii) a The characteristic value line Lgbxayi、LgbyixaAnd Lgryixi、LgrxiyiAnd intersecting every two to obtain all intersection points, and screening the point with the minimum y (namely the point closest to the center of the color gamut triangle) as a green region color coordinate target value.
Step 2.3, determining a color coordinate target value of the blue area;
in the same way as step 2.1, the characteristic value point Bb can be determinedyaxi(y-max point in blue region, x-min point in y-max point where y-max point is not unique), Bryaxi(feature point Bb)yaxiCorresponding coordinate point of affiliated pixel point in red area), Bbxiya(x minimum points in blue region, y maximum points among x minimum points where x minimum points are not unique), Brxiya(feature point Bb)xiyaCorresponding coordinate point of affiliated pixel point in red area), Bbxayi(x-max point in blue region, y-min point in x-max point where x-max point is not unique), Bgxayi(feature point Bb)xayiThe corresponding coordinate point of the pixel point in the green area); bbyixa(y minimum point in blue region, y minimum point notX-max point among y-min points for only one time), Bgyixa(feature point Bb)yixaThe corresponding coordinate point of the pixel point in the green area);
the characteristic value point BbyaxiWith BryaxiCharacteristic value point BbxiyaWith BrxiyaCharacteristic value point BbxayiAnd BgxayiCharacteristic value point BbyixaAnd BgyixaFour pairs of eigenvalue points are connected and named as eigenvalue lines Lbryaxi、Lbrxiya、Lrgxayi、Lbgyixa(ii) a The characteristic value line Lbryaxi、LbrxiyaAnd Lrgxayi、LbgyixaAnd intersecting every two points to obtain all intersection points, and screening the points with the maximum x and the maximum y to obtain the target value of the color coordinate of the blue area.
Step 3, determining a maximum common color gamut triangle;
and connecting the target values of the color coordinates of the red, green and blue areas pairwise to obtain a theoretically maximum public triangle and a maximum public color gamut triangle of the LED display screen.
In the step 2, two layers of priority selection are included, the priority of the first layer selects the x or y minimum value, for example, the y minimum value point of the red coordinates of all pixel points is found in the red area; if the x or y minimum value selected by the first layer of priority is not unique, selecting the second layer of priority; the second-layer priority selection mode is not limited to the above embodiment, and other modes may be selected; for example, if the y minimum value point selected by the first layer of priority is not unique, the second layer of priority selection is required, the x minimum value point in the y minimum value points can be preferably selected by the second layer of priority selection, and the display effect is closer to the theoretical perfect effect at this moment; however, the second-layer priority selection is not limited to the x minimum point in the y minimum points, and other y minimum points may be selected, and the farther the selected point is from the x minimum point, the larger the number of outliers displayed on the screen is, and the farther the selected point is from the x minimum point, the closer the selected point is, the fewer outliers are displayed.
In step 2, the order of step 2.1, step 2.2 and step 2.3 can be changed arbitrarily.
The result of the enlargement of the red, green and blue regions as shown in fig. 2 and fig. 3 illustrates that the vertex of the final maximum common color gamut triangle is within the range of all the color coordinate points.
Taking an LED display screen with a dot spacing of 1920 multiplied by 1080 and 0.9mm as an example, the invention only needs to draw 12 triangles for calculation after screening, and the total operation time is only 1.38 seconds. And for other methods, 2073600 triangles are required to be drawn for preliminary drawing if accurate calculation is required, the number of intersection points of the triangles is larger, the total operation time is over three hours, and the operation time is greatly improved under the condition of the same accuracy.
Claims (10)
1. A method for determining a chromaticity correction target color gamut of an LED display screen is characterized by comprising the following steps:
step 1, collecting color coordinates of all pixel points of an LED display screen by using collection equipment;
step 2, determining color coordinate target values of the red, green and blue color coordinate areas:
finding the y minimum value point of the red coordinates of all pixel points in the red area of the CIE1931 color space and setting the y minimum value point as a characteristic value point RryixiFinding a feature value point RryixiCorresponding coordinate points of the affiliated pixel points in the green area are set as characteristic value points Rgyixi(ii) a Finding the minimum value point of x in the red area and setting the point as a characteristic value point RrxiyiFinding a feature value point RrxiyiCorresponding coordinate points of the affiliated pixel points in the green area are set as characteristic value points Rgxiyi(ii) a Finding the minimum value point of x in the red area and setting the point as a characteristic value point RrxiyaFinding a feature value point RrxiyaThe corresponding coordinate point of the pixel point in the blue area is set as a characteristic value point Rbxiya(ii) a Searching the y maximum value point in the red area and setting the point as a characteristic value point RryaxiFinding a feature value point RryaxiThe coordinate point of the pixel point in the blue area is set as the characteristic value point Rbyaxi(ii) a The characteristic value point RryixiWith RgyixiCharacteristic value point RrxiyiWith RgxiyiCharacteristic value point RrxiyaAnd RbxiyaCharacteristic value point RryaxiAnd RbyaxiFour pairs of characteristic value points are respectively connected and named as characteristic value lines Lrgyixi、Lrgxiyi、Lrbxiya、LrbyaxiThe characteristic value line Lrgyixi、LrgxiyiAnd Lrbxiya、LrbyaxiIntersecting every two points to obtain all intersection points and screening the point with the minimum x as a color coordinate target value of the red area;
finding the x maximum value point in the green area of CIE1931 color space and setting the x maximum value point as a characteristic value point GgxayiFinding a characteristic value point GgxayiSetting the corresponding coordinate point of the pixel point in the blue area as the characteristic value point Gbxayi(ii) a Finding the minimum value point of y in the green area and setting the minimum value point as a characteristic value point GgyixaFinding a characteristic value point GgyixaCorresponding coordinate points of the pixel points in the blue region are set as characteristic value points Gbyixa(ii) a Finding the minimum value point of y in the green area and setting the minimum value point as a characteristic value point Ggyixi. Searching for characteristic value point GgyixiSetting the corresponding coordinate point of the affiliated pixel point in the red area as a characteristic value point Gryixi(ii) a Find the minimum x point in the green region and set it as GgxiyiFinding a characteristic value point GgxiyiSetting the corresponding coordinate point of the affiliated pixel point in the red area as a characteristic value point Grxiyi(ii) a The characteristic value point GgxayiAnd GbxayiCharacteristic value point GgyixaAnd GbyixaCharacteristic value point GgyixiAnd GryixiCharacteristic value point GgxiyiAnd GrxiyiFour pairs of characteristic value points are connected and named as characteristic value lines Lgbxayi、Lgbyixa、Lgryixi、Lgrxiyi(ii) a The characteristic value line Lgbxayi、LgbyixaAnd Lgryixi、LgrxiyiIntersecting every two points to obtain all intersection points and screening the point with the minimum y as a green area color coordinate target value;
finding the y maximum value point in the blue region of CIE1931 color space and setting the y maximum value point as a characteristic value point BbyaxiFinding a feature value point BbyaxiSetting the corresponding coordinate point of the affiliated pixel point in the red area as a characteristic value point Bryaxi(ii) a Finding the x minimum value point in the blue area and setting the x minimum value point as a characteristic value point BbxiyaFinding a feature value point BbxiyaSetting the corresponding coordinate point of the affiliated pixel point in the red area as a characteristic value point Brxiya(ii) a Finding the x maximum value point in the blue area and setting the x maximum value point as the characteristic value point BbxayiFinding a feature value point BbxayiSetting the corresponding coordinate point of the pixel point in the green area as a characteristic value point Bgxayi(ii) a Finding the minimum y value point in the blue area and setting the minimum y value point as a characteristic value point BbyixaFinding a feature value point BbyixaSetting the corresponding coordinate point of the pixel point in the green area as the characteristic value point Bgyixa(ii) a The characteristic value point BbyaxiWith BryaxiCharacteristic value point BbxiyaWith BrxiyaCharacteristic value point BbxayiAnd BgxayiCharacteristic value point BbyixaAnd BgyixaFour pairs of eigenvalue points are connected and named as eigenvalue lines Lbryaxi、Lbrxiya、Lrgxayi、Lbgyixa(ii) a The characteristic value line Lbryaxi、LbrxiyaAnd Lrgxayi、LbgyixaIntersecting every two points to obtain all intersection points, and screening the points with the maximum x and the maximum y as the target value of the color coordinates of the blue area;
and 3, connecting the color coordinate target values of the red, green and blue areas pairwise to obtain a theoretically maximum public triangle, namely the maximum public color gamut triangle of the LED display screen.
2. The method as claimed in claim 1, wherein in step 2, when the y-minimum point in the red color region is not unique, the x-minimum point of the y-minimum points is selected as the characteristic point Rryixi。
3. The method as claimed in claim 1, wherein in step 2, when the x-minimum point in the red color region is not unique, the y-minimum point in the x-minimum is selected as the characteristic point RrxiyiCorresponding to the characteristic value point Rgxiyi(ii) a SelectingThe y maximum point of the x minimum points is set as the characteristic value point RrxiyaCorresponding to the feature value point Rbxiya。
4. The method as claimed in claim 1, wherein in step 2, when the y-max points in the red color region are not unique, the x-min point of the y-max points is selected as the feature point Rryaxi。
5. The method as claimed in claim 1, wherein in step 2, when the x-max points of the green region are not unique, the y-min point of the x-max points is selected as the feature point Ggxayi。
6. The method as claimed in claim 1, wherein in step 2, when the y-minimum points in the green region are not unique, the x-maximum point of the y-minimum points is selected as the characteristic point GgyixaCorresponding to the characteristic value point Gbyixa(ii) a Selecting the x minimum value point in the y minimum value points as the characteristic value point GgyixiCorresponding to the feature value point Gryixi。
7. The method as claimed in claim 1, wherein in step 2, when the x-minimum points of the green region are not unique, the y-minimum point of the x-minimum points is selected as the characteristic point Ggxiyi。
8. The method as claimed in claim 1, wherein in step 2, when the y-max points in the blue region are not unique, the x-min point of the y-max points is selected as the feature point Bbyaxi(ii) a When the x minimum points of the blue region are not unique, the y maximum point of the x minimum points is selected as the characteristic point Bbxiya。
9. The method as claimed in claim 1, wherein in step 2, when the x-max points are not unique, the y-min point of the x-max points is selected as the feature point Bbxayi。
10. The method as claimed in claim 1, wherein in step 2, when the y-minimum points in the blue region are not unique, the x-maximum point of the y-minimum points is selected as the characteristic point Bbyixa。
Priority Applications (1)
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