CN113362777A - Dimming method and display device - Google Patents
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- 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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- G02F1/00—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulating; Non-linear optics
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- G09G3/34—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 by control of light from an independent source
- G09G3/36—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 by control of light from an independent source using liquid crystals
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Abstract
The invention relates to a dimming method and a display device, and belongs to the technical field of liquid crystal display. The operation of the dimming method is as follows: inputting an image A, separating into high-frequency part A of original imageGAnd a low-frequency part A of the original imageDThe high frequency part A of the original imageGAnd a low-frequency part A of the original imageDDividing the blocks into corresponding small blocks according to a set partition; two-way operation is carried out on the pixel values in the small blocks, and one way is carried out through the high-frequency part A of the original imageGDetermining image details, dividing the image into three parts of high detail, medium detail and low detail, dividing backlight control method according to different details to determine backlight value of each small block, and low-frequency part A of another original imageDPerforming pixel compensation, and finally combining high and low frequencies to form an output pixel value so as to display an image; improve image quality and reduce power consumption. Display based on the dimming methodThe device comprises a liquid crystal display module and a backlight module; backlight unit includes backlight etc. and the improvement lies in: the backlight source is a miniLED lamp panel or a microLED lamp panel; the spacing between adjacent LED lamps is in millimeter level.
Description
Technical Field
The invention belongs to the technical field of liquid crystal display, relates to processing of a backlight source, and particularly relates to a partition control method of a display device based on millimeter-scale light control, wherein a lamp panel adopts small-spacing LED lamps to realize millimeter-scale light control.
Background
After years of development of displays, the conventional display devices cannot meet the display requirements of modern high-speed development, and it has been the pursuit of the display industry to display a high-quality and low-power-consumption image. The existing display device is composed of a backlight module and a display panel, the backlight module mostly adopts an LCD lamp panel, and compared with the current mainstream display products, the traditional LCD display device has the defects of high power consumption, low contrast ratio and the like. Due to the characteristics of the liquid crystal, the light leakage phenomenon exists, so that the image power consumption is high, the contrast is low, and the quality of the displayed image is poor. In order to overcome the difficulty, the design of the double-layer screen is developed, and under the condition that the backlight module is not changed, on the basis of one layer of display screen, one more display screen is added, the method improves the contrast of the image to a certain extent, but because the same backlight source is adopted, the backlight source needs to act on the second display screen through the first layer of display screen, the light transmittance of the light in the transmission path is attenuated to a certain extent due to the existence of the first layer of liquid crystal screen, moreover, with the dual-layer screen design, there is a gap between the screens, which may result in the display of a picture when viewed, the visual difference can cause visual 'double images', and the invention can not only improve the visual 'double images' of the display, the display device adopting millimeter-level light control solves the problems of overhigh power consumption of the display and insufficient display details of displayed images.
Disclosure of Invention
In order to solve the problem of low contrast ratio in the traditional liquid crystal display device, the invention provides a dimming method and a display device based on the dimming method.
A dimming method, display device based on the said dimming method, including liquid crystal display module 1 and back light module set 2; the backlight module 2 comprises a diffusion film 201, an incremental film 202, a quantum film 203, a backlight source 204 and a reflection film 205, and the dimming operation is as follows:
inputting an image A, separating high frequency part from low frequency part, the high frequency part of the original image is AGThe low frequency part of the original image is ADHigh frequency part A of the original imageGIs the place where the image gray value changes sharply, namely the edge area of the image, the low frequency part A of the original imageDThe image is a region with slow change of image gray value, namely a so-called gentle region; high frequency part A of the original imageGAnd a low-frequency part A of the original imageDDividing the blocks into corresponding small blocks according to a set partition; two-way operation is carried out on the pixel values in the small blocks, and one way is carried out through the high-frequency part A of the original imageGDetermining image details, dividing the image into three parts of high detail, medium detail and low detail, dividing backlight control method according to different details to determine backlight value of each small block, and low-frequency part A of another original imageDAnd performing pixel compensation, and finally combining high and low frequencies to form an output pixel value for displaying an image.
The specific operation steps of the dimming method are as follows:
step (1), inputting an image, dividing the original image into high-frequency parts A of the original image by Gaussian filtering, wherein the resolution of the original image is MxNGAnd a low-frequency part A of the original imageDThe original image A and the high frequency part A of the original imageGLow frequency part A of the original imageDEach pixel point in the image consists of R, G, B subpixels, and the original image A and the high-frequency part A of the original image are combinedGAnd a low-frequency part A of the original imageDRespectively converted into a gray matrix I and a gray matrix IGGray scale matrix ID；
Step (2) of subjecting the product of step (1) toA gray matrix I obtained from the original image and a high-frequency part A of the original imageGThe obtained gray matrix IGLow frequency part A of the original imageDThe obtained gray matrix IDDividing the blocks into corresponding small blocks according to R multiplied by S, wherein the number of pixels in each small block is (M/R) multiplied by (N/S), obtaining pixel values corresponding to the small blocks, and calculating the internal maximum value, the minimum value and the average value of each small block; wherein R is the line of the original image divided into corresponding small blocks, S is the column of the original image divided into corresponding small blocks,/is division number, and R is<M,S<N, M is the row of the original image, and N is the column of the original image;
step (3) of obtaining a high frequency part A of the original image obtained in step (2)GGray scale matrix IGSmall block B obtained by dividingi,jI, j represents a small block Bi,jThe position coordinate value of (2); obtaining the Bi,jAverage value inside the small block, and small block Bi,jIs divided into three parts, namely a high detail part, a medium detail part and a low detail part; determining a backlight value of an image by a gray matrix I of an original image A according to areas corresponding to a high detail part, a medium detail part and a low detail part, selecting the maximum value of sub-pixels of the area as the backlight value by the high detail part, determining the backlight value by the medium detail part by adopting an error correction control method, selecting the sub-pixel value of the area to normalize by the low detail part, and multiplying the obtained square root by 255 as the backlight value to obtain a backlight value matrix of R1 multiplied by S1, wherein R1 is R, and S1 is S;
step (4), the backlight value matrix R1 multiplied by S1 obtained in the step (3) is subjected to fuzzy diffusion to finally become an M multiplied by N fuzzy diffusion matrix; the diffusion method is a sliding window method, a window template is selected, the diffusion window template is selected from (2t +1) × (2t +1), wherein t > is 1, t is a positive integer, and a specific value in the diffusion template needs to be determined through an actual light diffusion measurement value;
step (5) of processing the low-frequency part A of the original image obtained in step (1)DGray scale matrix IDThe pixel value of each point is compensated by the compensation factor obtained in the step (4), and the low-frequency part A of the original image is obtainedDCompensated matrix IDP(ii) a Then, for the high frequency part A of the original imageGGray scale matrix IGProcessing, linear stretching to obtain high-frequency part A of the original imageGMatrix I ofGP；High frequency part A of the original imageGMatrix I obtained by linear stretchingGPAnd a low frequency part ADMatrix I obtained by pixel compensationDPAnd merging, determining the finally output pixel value, and sending the pixel value to a display device based on millimeter-level light control for displaying images.
The specific technical scheme is further operated as follows:
in step (1), the high frequency part A of the original imageGAnd a low-frequency part A of the original imageDIs obtained by Gaussian filtering, and the Gaussian formula is as follows:
in the above formula, G is output, x2+y2Is the square of the gaussian blur radius, σ is the standard deviation of the normal distribution, and e is a natural constant.
In the step (4), the sliding window method specifically operates as follows:
(1.1) the backlight value matrix R1 is multiplied by S1, the outermost periphery of the matrix is respectively expanded vertically by a row, and the outermost periphery of the matrix is respectively expanded horizontally by a column, and the backlight value matrix R1 is multiplied by S1 to form a matrix of (R1+2) × (S1+ 2);
(1.2) for a matrix of (R1+2) × (S1+2), the diffusion template slides from the first pixel value, after which the template traverses the entire matrix, resulting in a matrix of R2 × S2;
(1.3) linearly expanding the R2 × S2 matrix twice to form an R3 × S3 matrix, expanding the R3 × S3 matrix in rows above and below the outermost periphery and expanding the matrix in columns above and below the outermost periphery, and changing the matrix from R3 × S3 to a (R3+2) × (S3+2) matrix;
(1.4) for a matrix of (R3+2) × (S3+2), the diffusion template is slid from the first pixel value, and then the template traverses the entire matrix, resulting in a matrix of R4 × S4;
(1.5) repeating the R4 × S4 matrix for F times according to the steps (1.3) - (1.4), linearly expanding the matrix into an M × N matrix, and determining a compensation factor of each point according to a pixel value corresponding to each point in the M × N matrix;
wherein R1-R2, R2-2 × R3-2 × R4, S1-S2, S2-2 × S3-2 × S4, and F is a positive integer of 1 to 5.
In step (5), the low frequency part A of the original imageDThe liquid crystal compensation algorithm is a linear or nonlinear compensation algorithm. High frequency part A of the original imageGThe resulting gray matrix IGBy multiplying by a coefficient k which is modified by the determination of the image characteristics to obtain the matrix IGP(ii) a High frequency part A of the original imageGMatrix I obtained by linear stretchingGPAnd a low-frequency part A of the original imageDMatrix I obtained by pixel compensationDPAdding the internal values of the corresponding matrixes to obtain a final output pixel value IZAnd the image is sent to the liquid crystal control module for displaying images.
The display device based on the dimming method comprises a liquid crystal display module 1 and a backlight module 2; the backlight module 2 comprises a diffusion film 201, an increment film 202, a quantum film 203, a backlight source 204 and a reflection film 205, and the improvement is that:
the backlight source 204 is a miniLED lamp panel or a microLED lamp panel; the spacing between adjacent LED lamps is in millimeter level.
The beneficial technical effects of the invention are embodied in the following aspects:
1. the invention adopts the LED lamps with small spacing, and inputs the same backlight data by the combined action of the quantum film, the brightness enhancement film and the diffusion plate to obtain the brightness of 743cd/m in front of the screen2And 824cd/m2. The invention improves the backlight brightness and the light mixing effect, and the display device of millimeter-level light control adopts subarea light control, and each small LED lamp can be independently controlled.
2. The size of the output light of the backlight module is determined by dividing the input image to display the output image, the millimeter-scale light mixing effect is good, the whole image of the image is displayed in the gap between the two subareas in a transition manner, and the block phenomenon is avoided.
3. The dimming method of the invention adjusts the parameters by processing the pixels in two ways, and has the beneficial effects on the image that: when an image is input, compared with an output image obtained by a traditional method, subjective human eye observation shows that details of image display are enhanced, contrast is objectively improved to a certain extent through measurement, power consumption is reduced to a certain extent, referring to the specific parameter improvement effect of embodiment 3, for fifty images, the energy saving rate of the method is improved by 11.986%, finally color and brightness distortion of the displayed image is obviously improved, and the average PSNR reaches 35.55 dB.
Drawings
FIG. 1 is a side view of the present invention;
FIG. 2 is a schematic view of a lamp panel of a backlight according to the present invention;
FIG. 3 is a schematic diagram of a corresponding relationship between a backlight and a liquid crystal panel;
fig. 4 is a flowchart of a dynamic dimming partition control method provided in embodiment 1;
sequence numbers in FIGS. 1-4: the liquid crystal display device comprises a liquid crystal display panel 1, a backlight module 2, a diffusion film 201, an incremental film 202, a quantum film 203, a backlight 204 and a reflection film 205.
Detailed Description
The invention provides a light control display device based on millimeter level and a partition control method. In order to make the present design clearer and simpler, the present invention will be further described with reference to the accompanying drawings and specific embodiments.
Example 1
Referring to fig. 1, a display device based on millimeter-scale light control includes a liquid crystal display screen and a backlight module, the liquid crystal display screen includes a liquid crystal display panel 1; backlight unit 2 includes diffusion barrier 201, increment membrane 202, quantum membrane 203, backlight 204 and reflective film 205, and backlight 204 is the miniLED lamp plate, and the interval between the adjacent LED lamp is the millimeter level.
Referring to fig. 4, a dimming method includes the following specific operation steps:
step (1): inputting an image, the resolution of the original image is 1920 multiplied by 1080, and the original image is divided into high-frequency parts A of the original image by Gaussian filteringGAnd a low-frequency part A of the original imageDOriginal source ofImage A, high frequency part A of original imageGLow frequency part A of the original imageDEach pixel point in the image consists of R, G, B subpixels, and the original image A and the high-frequency part A of the original image are combinedGAnd a low-frequency part A of the original imageDRespectively converted into a gray matrix I and a gray matrix IGGray scale matrix ID。
High frequency part A of the original imageGAnd a low-frequency part A of the original imageDIs obtained by Gaussian filtering, and the Gaussian formula is as follows:
in the above formula, G is output, x2+y2Is the square of the gaussian blur radius, σ is the standard deviation of the normal distribution, and e is a natural constant.
In this embodiment 1, the radius of the gaussian filter is selected to be 15, the standard deviation of the normal distribution is selected to be 2.5, and the original image passes through the gaussian filter to obtain the low-frequency part a of the original imageDThen, the low frequency part A of the original image is subtracted from the original image ADObtaining the high frequency part A of the original imageG。
Step (2) of obtaining the gray matrix I and the high-frequency part A of the original image obtained in the step (1)GThe obtained gray matrix IGLow frequency part A of the original imageDThe obtained gray matrix IDAre divided into 32 × 18(R × S) and 576 small block regions, and the backlight division is shown in fig. 2. The number of pixels in each small region is 60 × 60((M/R) × (N/S)), 3600 pixels are formed for each small region, and the correspondence relationship is shown in fig. 3. Obtaining pixel values corresponding to the small block areas, and calculating the internal maximum value, the minimum value and the average value of the small block areas; wherein, R is 32 lines of the original image corresponding to the small blocks, and S is 18 lines of the original image corresponding to the small blocks; in the formula (M/R) × (N/S),/is a division number, and R<M,S<N, M is the row of the original image, and N is the column of the original image;
step (3) of obtaining a high frequency part A of the original image obtained in step (2)GGray scale matrix IGSmall block B obtained by dividingi,jI, j represents a small block Bi,jThe position coordinate value of (2); obtaining the Bi,jAverage value inside the small block, and small block Bi,jIs divided into three parts, namely a high detail part, a medium detail part and a low detail part; determining the backlight value of the image by the gray matrix I of the original image A according to the areas corresponding to the high-detail part, the middle-detail part and the low-detail part, selecting the maximum value of the sub-pixels of the area as the backlight value by the high-detail part, determining the backlight value by the middle-detail part by adopting an error correction control method, selecting the sub-pixel value of the area by the low-detail part for normalization, and multiplying the obtained square root by 255 as the backlight value to obtain a 32 x 18(R1 x S1) backlight value matrix; in the formula R1 × S1, R1 ═ R, S1 ═ S.
Example 1 will calculate Bi,jDividing the small blocks into low details when the average value inside the small blocks is less than 3, normalizing the area corresponding to the low details by using the sub-pixel value of the area, and multiplying the square root by 255 to obtain a backlight value; b isi,jThe average value in the small block belongs to the details of 3-5, and the backlight value of the area is obtained by adopting an error correction control method in the area corresponding to the average value; b isi,jThe average value in the small block is more than 5, and the area selects the maximum value of the sub-pixels in the area as the backlight value.
A step (4) of performing fuzzy diffusion on the 32 × 18(R1 × S1) backlight value matrix obtained in the step (3) to finally obtain a 1920 × 1080(M × N) fuzzy diffusion matrix; the diffusion method is a sliding window method, a window template is selected, the diffusion window template is selected to be 3 x 3((2t +1) × (2t +1)), and specific values in the diffusion template are determined by actual light diffusion measurement values. In the formula (2t +1) × (2t +1), t > - [ 1 ] and t is a positive integer.
The diffusion method selected in this embodiment 1 is a sliding window method, and a 3 × 3 window template is selected, where the actual measurement results of specific values of the diffusion window template are as follows:
TABLE 1
| 0.057 | 0.1426 | 0.057 |
| 0.1071 | 0.2726 | 0.1071 |
| 0.057 | 0.1426 | 0.057 |
The specific operation of the step (4) is as follows:
(1.1) performing top-bottom row extension and left-right row extension on the outermost periphery of the 32 × 18(R1 × S1) backlight value matrix obtained in the step (3), wherein the backlight value matrix of the 32 × 18(R1 × S1) is changed into a 34 × 20((R1+2) × (S1+2)) matrix;
(1.2) for a 34 × 20 matrix ((R1+2) × (S1+2)), the diffusion template is slid from the first pixel value, and then the template traverses the whole matrix to obtain a new 32 × 18(R2 × S2) backlight matrix, and the new 32 × 18(R2 × S2) backlight matrix is taken as the processed first matrix;
the method comprises the specific steps that a diffusion template and a matrix corresponding to 34 x 20 start to slide, corresponding areas are multiplied and then added, the average value after the addition is taken to be subjected to first smoothing and then is used as the backlight of a point, and then the template traverses the whole matrix to obtain a new 32 x 18 backlight matrix;
(1.3) linearly expanding the new 32 × 18(R2 × S2) first matrix by one time to form a 64 × 36(R3 × S3) matrix, expanding the 64 × 36(R3 × S3) matrix by up and down rows at the outermost periphery and expanding the matrix by one row at the left and right sides, and changing the matrix from 64 × 36(R3 × S3) to a 66 × 38 matrix ((R3+2) × (S3+ 2));
(1.4) for a 66 × 38((R3+2) × (S3+2)) matrix, the diffusion template is slid from the first pixel value, and then the template traverses the entire matrix, resulting in a new 64 × 36(R4 × S4) backlight matrix, the new 64 × 36(R4 × S4) backlight matrix as the processed second matrix;
the method comprises the specific steps that a diffusion template and a matrix corresponding to 66 x 38 start to slide, corresponding areas are multiplied and then added, the average value after the addition is taken to be subjected to first smoothing and then is used as the point backlight, and then the template traverses the whole matrix to obtain a new 64 x 36 backlight matrix;
(1.5) similarly, repeating the 64 × 36(R4 × S4) matrix for 2 times according to the steps (1.3) - (1.4), linearly expanding the matrix into a 1920 × 1080(M × N) matrix, and determining the compensation factor of each point according to the pixel value corresponding to each point in the M × N matrix;
the specific steps are that a new second matrix of 64 × 36 is expanded by one time, the matrix of 64 × 36 is changed into a matrix of 128 × 72, a new backlight matrix of 128 × 72 is used as a processed third matrix, the diffusion processes (1.3) - (1.4) are carried out, the matrix of 128 × 72 is changed into a matrix of 256 × 144, a new backlight matrix of 256 × 144 is used as a processed fourth matrix, the diffusion processes (1.3) - (1.4) are carried out, the matrix of 256 × 144 is changed into a matrix of 512 × 288, a new backlight matrix of 512 × 288 is used as a processed fifth matrix, finally, the fifth matrix of 512 × 288 is directly linearly expanded into a matrix of 1920 × 1080, and the compensation factor of each point is determined according to the pixel value corresponding to each point in the matrix of 1920 × 1080.
Step (5), the low-frequency part A of the original imageDThe liquid crystal compensation algorithm is a linear compensation algorithm. High frequency part A of the original imageGThe resulting gray matrix IGMultiplying by a factor of 1.5 to obtain the matrix IGP. High frequency part A of the original imageGMatrix I obtained by linear stretchingGPAnd a low-frequency part A of the original imageDMatrix I obtained by pixel compensationDPAdding the internal values of the corresponding matrixes to obtain a final output pixel value IZAnd the image is sent to the liquid crystal control module for displaying images.
When the device of the invention is used for displaying images, compared with a display device which is not improved, the power consumption 23.562W of the image is displayed by the display device which is not improved, and the power consumption of the display device is 21.156W, compared with the prior art, the device of the invention saves 2.397W, the display effect is better, and the display quality evaluation index is shown in embodiment 3.
Example 2
Referring to fig. 1, a display device based on millimeter-scale light control includes a liquid crystal display screen and a backlight module, the liquid crystal display screen includes a liquid crystal display panel 1; backlight unit 2 includes diffusion barrier 201, increment membrane 202, quantum membrane 203, backlight 204 and reflective film 205, and backlight 204 is the miniLED lamp plate, and the interval between the adjacent LED lamp is the millimeter level.
The specific operation steps of the dimming method are as follows:
step (1): inputting an image, the resolution of the original image is 1920 multiplied by 1080, and the original image is divided into high-frequency parts A of the original image by Gaussian filteringGAnd a low-frequency part A of the original imageDThe original image A and the high frequency part A of the original imageGLow frequency part A of the original imageDEach pixel point in the image consists of R, G, B subpixels, and the original image A and the high-frequency part A of the original image are combinedGAnd a low-frequency part A of the original imageDRespectively converted into a gray matrix I and a gray matrix IGGray scale matrix ID；
High frequency part A of the original imageGAnd a low-frequency part A of the original imageDIs obtained by Gaussian filtering, and the Gaussian formula is as follows:
in the above formula, G is output, x2+y2Is the square of the gaussian blur radius, σ is the standard deviation of the normal distribution, and e is a natural constant.
In this embodiment 2, the radius of the gaussian filter is selected 15, the standard deviation of the normal distribution is selected 2.5, and the original image passes through the gaussian filter to obtain the low-frequency part a of the original imageDThen, the low frequency part A of the original image is subtracted from the original image ADObtaining the high frequency part A of the original imageG。
Step (2) of obtaining the gray matrix I and the high-frequency part A of the original image obtained in the step (1)GThe obtained gray matrix IGLow frequency part A of the original imageDThe obtained gray matrix IDThe image signal is divided into 450 small block regions of 30 multiplied by 15(R multiplied by S), the number of pixels in each small block region is 64 multiplied by 68((M/R) multiplied by (N/S)), each small block region has 4352 pixels, pixel values corresponding to the small block regions are obtained, and the maximum value, the minimum value and the average value in each small block region are calculated; wherein, R is 30 lines of the original image corresponding to the small blocks, and S is 15 lines of the original image corresponding to the small blocks; in the formula (M/R) × (N/S),/is a division number, and R<M,S<N, M is the row of the original image, and N is the column of the original image;
step (3) of obtaining a high frequency part A of the original image obtained in step (2)GGray scale matrix IGSmall block B obtained by dividingi,jI, j represents a small block Bi,jThe position coordinate value of (2); obtaining the Bi,jAverage value inside the small block, and small block Bi,jIs divided into three parts, namely a high detail part, a medium detail part and a low detail part; determining the backlight value of the image by the gray matrix I of the original image A according to the areas corresponding to the high-detail part, the middle-detail part and the low-detail part, selecting the maximum value of the sub-pixels of the area as the backlight value by the high-detail part, determining the backlight value by the middle-detail part by adopting an error correction control method, selecting the sub-pixel value of the area by the low-detail part for normalization, and multiplying the obtained square root by 255 as the backlight value to obtain a backlight value matrix of 30 multiplied by 15(R1 multiplied by S1); in the formula R1 × S1, R1 ═ R, S1 ═ S.
Example 2 will calculate Bi,jDividing the small block into low details when the average value inside the small block is less than 2, normalizing the area corresponding to the low detail by using the sub-pixel value of the area, and multiplying the square root by 255 to obtain a backlight value; b isi,jThe average value in the small block belongs to the details from 2 to 4, and the backlight value of the area is obtained by adopting an error correction control method in the area corresponding to the average value; b isi,jThe average value in the small block is higher than 4, and the area selects the maximum value of the sub-pixels in the area as the backlight value.
A step (4) of performing fuzzy diffusion on the 30 × 15(R1 × S1) backlight value matrix obtained in the step (3) to finally obtain a 1920 × 1080(M × N) fuzzy diffusion matrix; the diffusion method is a sliding window method, a window template is selected, the diffusion window template is selected to be 3 x 3((2t +1) × (2t +1)), and specific values in the diffusion template are determined by actual light diffusion measurement values. In the formula (2t +1) × (2t +1), t > -1, and t is a positive integer.
The diffusion method selected in this embodiment 1 is a sliding window method, and a 3 × 3 window template is selected, where the actual measurement results of specific values of the diffusion window template are as follows:
TABLE 2
| 0.057 | 0.1426 | 0.057 |
| 0.1071 | 0.2726 | 0.1071 |
| 0.057 | 0.1426 | 0.057 |
The specific operation of the step (4) is as follows:
(1.1) expanding the 30 × 15(R1 × S1) backlight value matrix obtained in the step (3) in a row from top to bottom and in a column from left to right at the outermost periphery, wherein the backlight value matrix of 30 × 15(R1 × S1) is changed into a matrix of 32 × 17((R1+2) × (S1+ 2));
(1.2) for a matrix of 32 × 17((R1+2) × (S1+2)), the diffusion template is slid from the first pixel value, and then the template traverses the entire matrix, resulting in a new matrix of 30 × 15(R2 × S2) backlight, and the new matrix of 30 × 15(R2 × S2) backlight is used as the processed first matrix;
the method comprises the specific steps that a diffusion template and a matrix corresponding to 34 x 20 start to slide, corresponding areas are multiplied and then added, the average value after the addition is taken to carry out first smoothing and then is used as the backlight of the point, and then the template traverses the whole matrix to obtain a new 30 x 15 backlight matrix;
(1.3) linearly expanding the new 30 × 15(R2 × S2) first matrix by one time to form a 60 × 30(R3 × S3) matrix, expanding the 60 × 30(R3 × S3) matrix by one row up and down the outermost periphery and by one column left and right, and changing the 60 × 30(R3 × S3) matrix to a 62 × 32((R3+2) × (S3+ 2));
(1.4) for a 62 × 32((R3+2) × (S3+2)) matrix, the diffusion template is slid from the first pixel value, and then the template traverses the whole matrix, resulting in a new 60 × 30(R4 × S4) backlight matrix, and the new 60 × 30(R4 × S4) backlight matrix as the processed second matrix;
the method comprises the specific steps that a diffusion template and a matrix corresponding to 62 x 32 start to slide, corresponding areas are multiplied and then added, the average value after the addition is taken to carry out first smoothing and then is used as the backlight of the point, and then the template traverses the whole matrix to obtain a new 60 x 30 backlight matrix;
(1.5) similarly, repeating the 60 × 30(R4 × S4) matrix 3 times according to the steps (1.3) - (1.4), linearly expanding the matrix to be a 1920 × 1080(M × N) matrix, and determining the compensation factor of each point according to the pixel value corresponding to each point in the M × N matrix;
the specific steps are that a new 60 × 30 second matrix is expanded by one time, the 60 × 30 matrix is changed into a 120 × 60 matrix, and a new 120 × 60 backlight matrix is used as a processed third matrix; performing the diffusion processes (1.3) to (1.4) to change the matrix of 120 × 60 into a matrix of 240 × 120, and using a new matrix of 240 × 120 backlight as a fourth matrix after processing; then, the diffusion processes of (1.3) to (1.4) are carried out, the matrix of 240 × 120 is changed into a matrix of 480 × 240, and a new matrix of 480 × 240 backlight is used as a processed fifth matrix; and (3) performing the diffusion processes (1.3) - (1.4), changing the matrix from 480 × 240 to a matrix 960 × 480, taking a new backlight matrix 960 × 480 as a processed sixth matrix, and finally linearly expanding the sixth matrix 960 × 480 directly to a matrix 1920 × 1080, wherein the compensation factor of each point is determined by the pixel value corresponding to each point in the matrix 1920 × 1080.
Step (5), the low-frequency part A of the original imageDThe liquid crystal compensation algorithm is a linear compensation algorithm. High frequency part A of the original imageGThe resulting gray matrix IGMultiplying by a factor 1.7 to obtain the matrix IGP(ii) a High frequency part A of the original imageGMatrix I obtained by linear stretchingGPAnd a low-frequency part A of the original imageDMatrix I obtained by pixel compensationDPAdding the internal values of the corresponding matrixes to obtain a final output pixel value IZAnd the image is sent to the liquid crystal control module for displaying images.
Compared with the display device which is not improved, the display device which is not improved displays 26.854W of the power consumption of the image, and the display device which is not improved displays 23.513W of the image, the invention saves 3.341W, has better display effect and has the display quality evaluation index shown in embodiment 3.
Example 3
On the basis of a millimeter-level light control-based zone dimming method, a novel zone dimming control method is provided, the method is compared with the existing methods, images are compared according to different control methods of a display device, and meanwhile, the front-screen brightness is 800cd/m2Compared with the method, the average power consumption of the images of the traditional display device of fifty images is 26.714W, the average power consumption measured by the device is 23.512W, and the power consumption is reduced by 11.986%. Through fifty figures, simulation tests are carried out according to the detail, the backlight module is divided into 32 × 18 backlight areas according to the design, and then a 1920 × 1080 image is divided and input according to the set number of backlight partitions. The present example is divided into 576 partitions of 32 × 18(R × S), but the backlight module is not limited to divide other number of partitions. Simulation experiments were conducted in a MATLAB R2018b environment, testedThe images are 1920 multiplied by 1080, and the image quality is jointly evaluated by the conventional Peak Signal-to-Noise Ratio (PSNR), entropy and average gradient. As can be seen from Table 3, fifty graphs are tested, the evaluation index is the average value of the fifty graphs, and compared with the root mean square method, the algorithm effect provided by the invention is more outstanding, the peak signal-to-noise ratio is improved, the truncation noise which can appear in the image is restrained on a certain level, and the method provided by the invention is improved by 22.1% compared with the root mean square method; the entropy represents the information content of the image, and the larger the entropy is, the more the information is; the average gradient reflects the contrast of the tiny details and the texture change characteristics in the image, and also reflects the definition of the image. As can be seen from Table 3, the average gradient and the information entropy of the processed images of the algorithm provided by the invention are all larger than those of the original algorithm. The invention effectively improves the display quality of the image of the liquid crystal display.
TABLE 3
It will be understood by those skilled in the art that the foregoing is only a preferred embodiment of the present invention, and is not intended to limit the invention, and that any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (7)
1. A dimming method is based on a display device of the dimming method and comprises a liquid crystal display module (1) and a backlight module (2); the backlight module (2) comprises a diffusion film (201), an increment film (202), a quantum film (203), a backlight source (204) and a reflection film (205), and is characterized in that the dimming operation is as follows:
inputting an image A, separating high frequency part from low frequency part, the high frequency part of the original image is AGThe low frequency part of the original image is ADHigh frequency part A of the original imageGIs the place where the image gray value changes sharply, namely the edge area of the image, the low frequency part A of the original imageDFor changing the grey value of an imageA region of slow melting, a so-called gentle region; high frequency part A of the original imageGAnd a low-frequency part A of the original imageDDividing the blocks into corresponding small blocks according to a set partition; two-way operation is carried out on the pixel values in the small blocks, and one way is carried out through the high-frequency part A of the original imageGDetermining image details, dividing the image into three parts of high details, medium details and low details, dividing a backlight control method according to different details to determine a backlight value of each small block, and determining a low-frequency part A of another original imageDAnd performing pixel compensation, and finally combining high and low frequencies to form an output pixel value for displaying an image.
2. The dimming method according to claim 1, wherein the specific operation steps are as follows:
step (1), an image A is input, the resolution ratio of the image is MxN, and the original image is divided into high-frequency parts A of the original image through Gaussian filteringGAnd a low-frequency part A of the original imageDThe original image A and the high frequency part A of the original imageGLow frequency part A of the original imageDEach pixel point in the image consists of R, G, B subpixels, and the original image A and the high-frequency part A of the original image are combinedGAnd a low-frequency part A of the original imageDRespectively converted into a gray matrix I and a gray matrix IGGray scale matrix ID；
Step (2) of setting the original image gray-scale matrix I and the original image high-frequency part A in the step (1)GThe obtained gray matrix IGLow frequency part A of the original imageDThe obtained gray matrix IDDividing the blocks into corresponding small blocks according to R multiplied by S, wherein the number of pixels in each small block is (M/R) multiplied by (N/S), obtaining pixel values corresponding to the small blocks, and calculating the internal maximum value, the minimum value and the average value of each small block; wherein R is the line of the original image divided into corresponding small blocks, S is the column of the original image divided into corresponding small blocks,/is division number, and R is<M,S<N, M is the row of the original image, and N is the column of the original image;
step (3) of obtaining a high frequency part A of the original image obtained in step (2)GGray scale matrix IGSmall block B obtained by dividingi,jI, j represents a small block Bi,jPosition coordinate value of(ii) a Obtaining the Bi,jAverage value inside the small block, and small block Bi,jIs divided into three parts, namely a high detail part, a medium detail part and a low detail part; determining a backlight value of an image by a gray matrix I of an original image A according to areas corresponding to a high detail part, a medium detail part and a low detail part, selecting a maximum value of a sub-pixel of the area as the backlight value by the high detail part, determining the backlight value by the medium detail part according to the difference between the maximum value and the maximum value of the sub-pixel of the area and an average value of the sub-pixel of the area, selecting the sub-pixel value of the area by the low detail part for normalization, and multiplying the obtained square root by 255 as the backlight value, thereby obtaining a backlight value matrix of R1 multiplied by S1, wherein R1 is R, and S1 is S;
step (4), the backlight value matrix R1 multiplied by S1 obtained in the step (3) is subjected to fuzzy diffusion to finally become an M multiplied by N fuzzy diffusion matrix; the diffusion method is a sliding window method, a window template is selected, the diffusion window template is selected from (2t +1) × (2t +1), wherein t > is 1, t is a positive integer, and a specific value in the diffusion template needs to be determined through an actual light diffusion measurement value;
step (5) of processing the low-frequency part A of the original image obtained in step (1)DGray scale matrix IDThe pixel value of each point is compensated by the compensation factor obtained in the step (4), and the low-frequency part A of the original image is obtainedDCompensated matrix IDP(ii) a Then, for the high frequency part A of the original imageGGray scale matrix IGProcessing, linear stretching to obtain high-frequency part A of the original imageGMatrix I ofGP(ii) a High frequency part A of the original imageGMatrix I obtained by linear stretchingGPAnd a low frequency part ADMatrix I obtained by pixel compensationDPAnd merging, determining the finally output pixel value, and sending the pixel value to a display device based on millimeter-level light control for displaying images.
3. The dimming method according to claim 2, wherein: in step (1), the high frequency part A of the original imageGAnd a low-frequency part A of the original imageDIs obtained by Gaussian filtering, and the Gaussian formula is as follows:
in the above formula, G is output, x2+y2Is the square of the gaussian blur radius, σ is the standard deviation of the normal distribution, and e is a natural constant.
4. A dimming method as claimed in claim 2, wherein: in the step (4), the sliding window method specifically operates as follows:
(1.1) the backlight value matrix R1 is multiplied by S1, the outermost periphery of the matrix is respectively expanded vertically by a row, and the outermost periphery of the matrix is respectively expanded horizontally by a column, and the backlight value matrix R1 is multiplied by S1 to form a matrix of (R1+2) × (S1+ 2);
(1.2) for a matrix of (R1+2) × (S1+2), the diffusion template slides from the first pixel value, after which the template traverses the entire matrix, resulting in a matrix of R2 × S2;
(1.3) linearly expanding the R2 × S2 matrix twice to form an R3 × S3 matrix, expanding the R3 × S3 matrix in rows above and below the outermost periphery and expanding the matrix in columns above and below the outermost periphery, and changing the matrix from R3 × S3 to a (R3+2) × (S3+2) matrix;
(1.4) for a matrix of (R3+2) × (S3+2), the diffusion template is slid from the first pixel value, and then the template traverses the entire matrix, resulting in a matrix of R4 × S4;
(1.5) repeating the R4 × S4 matrix for F times according to the steps (1.3) - (1.4), linearly expanding the matrix into an M × N matrix, and determining a compensation factor of each point according to a pixel value corresponding to each point in the M × N matrix;
wherein R1-R2, R2-2 × R3-2 × R4, S1-S2, S2-2 × S3-2 × S4, and F is a positive integer of 1 to 5.
5. The dimming method according to claim 2, wherein: in step (5), the low frequency part A of the original imageDThe liquid crystal compensation algorithm is linear or non-linear compensation algorithm, and the high-frequency part A of the original imageGThe resulting gray matrix IGBy multiplying by a coefficient kThe matrix I can be obtained by modifying the judgment of the image characteristicsGP。
6. The dimming method according to claim 2, wherein: in step (5), the high frequency part A of the original image is processedGMatrix I obtained by linear stretchingGPAnd a low-frequency part A of the original imageDMatrix I obtained by pixel compensationDPAdding the internal values of the corresponding matrixes to obtain a final output pixel value IZAnd the image is sent to the liquid crystal control module for displaying images.
7. The display device based on the dimming method of claim 1, comprising a liquid crystal display module (1) and a backlight module (2); backlight unit (2) include diffusion film (201), increment membrane (202), quantum film (203), backlight (204) and reflective film (205), its characterized in that:
the backlight source (204) is a miniLED lamp panel or a microLED lamp panel; the spacing between adjacent LED lamps is in millimeter level.
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