CN109920356A - A kind of appraisal procedure of approximating method for assessing the threshold curve of black matrix, black matrix - Google Patents

A kind of appraisal procedure of approximating method for assessing the threshold curve of black matrix, black matrix Download PDF

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CN109920356A
CN109920356A CN201910364010.6A CN201910364010A CN109920356A CN 109920356 A CN109920356 A CN 109920356A CN 201910364010 A CN201910364010 A CN 201910364010A CN 109920356 A CN109920356 A CN 109920356A
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sample
width
black matrix
threshold curve
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CN109920356B (en
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王永垚
苏秋杰
高玉杰
朱宁
缪应蒙
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BOE Technology Group Co Ltd
Beijing BOE Display Technology Co Ltd
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BOE Technology Group Co Ltd
Beijing BOE Display Technology Co Ltd
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Abstract

The embodiment of the present invention provides the appraisal procedure of a kind of approximating method for assessing the threshold curve of black matrix, black matrix, is related to field of display technology, and the accuracy of assessment black matrix can be improved.It is a kind of for assessing the approximating method of the threshold curve of black matrix, the width of the width of the shading strip that multiple length directions or width direction along each sample including including by the black matrix of each sample extend, sub-pix obtains contrast sensitivity function value;Shading strip all has N kind width, N >=2;The width of shading strip and the width of shading strip in other samples are not completely equivalent at least partly in sample;Obtain the corresponding spatial frequency values of sample under different observed ranges;The visible or invisible situation of sample concealed wire each under same ambient brightness and corresponding observed range is labeled in using spatial frequency as abscissa, contrast sensitivity function value is in the coordinate system of ordinate;Fit threshold curve makes the coordinate points for identifying visible or invisible situation be located at the two sides of threshold curve.

Description

A kind of assessment of approximating method, black matrix for assessing the threshold curve of black matrix Method
Technical field
The present invention relates to field of display technology more particularly to a kind of for assessing the fitting side of the threshold curve of black matrix Method, the appraisal procedure of black matrix.
Background technique
In order to improve display panel aperture opening ratio, the black matrix between different sub-pixes is designed at least as two different width Degree, and be repeated cyclically.But a variety of black matrix width may bring visual macroeffect, so that display panel occurs Light and dark concealed wire.Therefore, in the layout design of display panel, the risk occurred to the concealed wire is needed to assess.
Summary of the invention
The embodiment of the present invention provides a kind of assessment of approximating method, black matrix for assessing the threshold curve of black matrix The accuracy of assessment black matrix can be improved in method.
In order to achieve the above objectives, the embodiment of the present invention adopts the following technical scheme that
In a first aspect, providing a kind of for assessing the approximating method of the threshold curve of black matrix, comprising: according to multiple samples The width of the width of multiple shading strips extended in a first direction that the black matrix of each sample includes in display panel, sub-pix Degree, is calculated the contrast sensitivity function value of each sample;Wherein, the institute extended along the first direction in multiple samples It states shading strip and all has N kind width, N >=2;The width of shading strip described in at least partly described sample, with sample described in other Described in the width of shading strip be not completely equivalent;The first direction is the length direction of each sample, alternatively, described the One direction is the width direction of each sample;According to multiple samples and different observed ranges, it is calculated The corresponding spatial frequency values of the sample under different observed ranges;For each sample, will in same ambient brightness and Under corresponding observed range, the visible or invisible situation of the concealed wire of sample described in human eye observation is labeled in and is with spatial frequency Abscissa, contrast sensitivity function value are in the coordinate system of ordinate;Fit threshold curve is used in the coordinate points for identifying visible situation The two sides of the threshold curve are located at the coordinate points for identifying invisible situation.
Optionally, the width for the multiple shading strips extended in a first direction for including according to the black matrix of each sample, Asia The contrast sensitivity function value of each sample is calculated in the width of pixel, comprising:
For each sample, the black matrix according to the sample include it is multiple along the first direction extend institutes State the width of shading strip, in the width of sub-pix and the sample sub-pix of different colours brightness ratio, obtain with it is described The corresponding continuous brightness distribution curve of sample;The abscissa of the brightness distribution curve is width, and ordinate is brightness;According to The brightness distribution curve obtains frequency domain spectra corresponding with the sample;According to the concealed wire period in the frequency domain spectra of the sample The component spectrum and DC component spectrum of corresponding absolute space frequency, are calculated the contrast sensitivity function value of the sample; Wherein, the contrast sensitivity function value=(component of the concealed wire period corresponding absolute space frequency in the frequency domain spectra of the sample Spectrum/DC component spectrum) × 2 × 100%.
On this basis, optionally, multiple extended along the first direction according to what the black matrix of the sample included The brightness ratio of the sub-pix of different colours in the width of shading strip, the width of sub-pix and the sample, obtains and the sample The corresponding brightness distribution curve of product, comprising: what the black matrix according to the sample included multiple extends along the first direction The width of the width of the shading strip, sub-pix, obtain that the black matrix of the sample includes multiple prolongs along the first direction The width for the shading strip stretched and the integer ratios of sub-pix width;Multiple edges that black matrix according to the sample includes Different colours in the integer ratios of the shading strip width and sub-pix width that the first direction extends, the sample The brightness ratio of sub-pix obtains brightness distribution curve corresponding with the sample.
Optionally, the different colours include the first color, the second color and third color, and the first color, the second face Color and third color are three primary colours;The brightness ratio of the sub-pix of different colours in the sample, by monochromatic first color and It is intermediate grayscale, monochromatic third color and grayscale is to survey under intermediate grayscale that grayscale, which is intermediate grayscale, monochromatic second color and grayscale, The brightness value of the sample of examination obtains.
Optionally, according to the luminance part curve, frequency domain spectra corresponding with the sample is obtained, comprising: to described bright Degree distribution curve is sampled, and using sampling interval corresponding absolute space frequency as sample frequency;Call fast Fourier Transforming function transformation function carries out Fast Fourier Transform (FFT), obtains frequency domain spectra corresponding with the sample.
Optionally, for each sample, according to formulaIt is calculated corresponding The spatial frequency values of the sample under observed range;Wherein, CPD is the spatial frequency values, and l is the human eye under the observed range The product of the spacing of the number and concealed wire of the concealed wire for the sample that can be observed, t are the adjacent concealed wire Spacing, d are the observed range.
Second aspect provides a kind of appraisal procedure of black matrix, comprising: the black matrix according to display panel to be assessed includes The width of multiple shading strips extended in a first direction, sub-pix width, the display panel to be assessed is calculated Contrast sensitivity function value;Using the contrast sensitivity function value of the display panel to be assessed as ordinate, the most sensitive space frequency of human eye Coordinate points of the rate value as abscissa are labeled in by described in any one of claims 1-6 for assessing the threshold value of black matrix The approximating method of curve, in the coordinate system where obtained threshold curve;Wherein, the display panel to be assessed along described The shading strip that one direction extends, the shading extended in sample corresponding with the threshold curve along the first direction Item is with N kind width;If the coordinate points are located at the lower section of the threshold curve, the concealed wire of the display panel to be assessed It can be seen that;If the coordinate points are located at the top of the threshold curve, the concealed wire of the display panel to be assessed is invisible.
Optionally, the appraisal procedure of above-mentioned black matrix further include: according toObtain the most sensitive spatial frequency values of human eye;Wherein, CPD is Spatial frequency, Af are the sensitivity function of human eye.
The third aspect provides a kind of design method of product, the appraisal procedure including above-mentioned black matrix.
Fourth aspect provides a kind of computer-readable medium, is stored thereon with computer program, the computer program quilt When execution, the approximating method of the above-mentioned threshold curve for assessing black matrix is realized, alternatively, realizing commenting for above-mentioned black matrix Estimate method.
5th aspect, provides a kind of electronic equipment, comprising: processor, memory;The memory for store one or Multiple programs;When one or more of programs are executed by the processor, the above-mentioned threshold for being used to assess black matrix is realized It is worth the approximating method of curve, alternatively, realizing the appraisal procedure of above-mentioned black matrix.
The embodiment of the present invention provides a kind of assessment of approximating method, black matrix for assessing the threshold curve of black matrix Method, by under same ambient brightness and different observed ranges, in conjunction with the visible of human eye actual observation sample concealed wire or Invisible situation, and will be seen that or invisible situation be labeled in using spatial frequency as abscissa, contrast sensitivity function value is ordinate Coordinate system in, fitting obtain threshold curve.To by human eye is theoretical to the sensibility of spatial frequency and actual observation result into Row fitting, can accurately reflect the otherness of black matrix width, so that whether assessment dark line is visible more realistic, raising is commented The accuracy estimated.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with It obtains other drawings based on these drawings.
Fig. 1 a is a kind of overlooking structure diagram of black matrix provided in an embodiment of the present invention;
Fig. 1 b is the overlooking structure diagram of another black matrix provided in an embodiment of the present invention;
Fig. 2 is that a kind of process for assessing the approximating method of the threshold curve of black matrix provided in an embodiment of the present invention is shown It is intended to;
Fig. 3 is a kind of schematic diagram of threshold curve for being fitted black matrix provided in an embodiment of the present invention;
Fig. 4 is provided in an embodiment of the present invention another for assessing the process of the approximating method of the threshold curve of black matrix Schematic diagram;
Fig. 5 a is a kind of brightness distribution curve schematic diagram of sample provided in an embodiment of the present invention;
Fig. 5 b is the brightness distribution curve schematic diagram of another sample provided in an embodiment of the present invention;
Fig. 6 be it is provided in an embodiment of the present invention another be used for assess black matrix threshold curve approximating method process Schematic diagram;
Fig. 7 be it is provided in an embodiment of the present invention another be used for assess black matrix threshold curve approximating method process Schematic diagram;
Fig. 8 a is a kind of frequency domain spectra schematic diagram of sample brightness distribution curve provided in an embodiment of the present invention;
Fig. 8 b is the frequency domain spectra schematic diagram of another sample brightness distribution curve provided in an embodiment of the present invention;
Fig. 9 is a kind of observation schematic diagram of sample provided in an embodiment of the present invention;
Figure 10 is a kind of flow diagram of the appraisal procedure of black matrix provided in an embodiment of the present invention;
Figure 11 is a kind of sensitivity function schematic diagram of human eye provided in an embodiment of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other Embodiment shall fall within the protection scope of the present invention.
As shown in Figure 1, display panel includes multiple sub-pixes 10, in order to avoid the light issued between sub-pix 10 is mutually dry Light leakage is disturbed and avoided, black matrix can be set between any neighboring sub-pixel 10.
Exemplary, as illustrated in figs. 1A and ib, black matrix is integrally grid-shaped, and the region that each small grid surrounds is one 10 region of sub-pix.
Wherein, in order to improve aperture opening ratio, such as illustrated in figs. 1A and ib, the screening that extends in black matrix along first direction X Two kinds of width can be arranged in striation 201, and two kinds of width periods repeat.It should be noted that Fig. 1 a and Fig. 1 b are only along The tool of shading strip 201 that one direction X extends is there are two types of being illustrated for width, certainly, the shading strip extended along first direction X 201 also can have two or more width.First direction X can be the length direction of display panel, alternatively, first direction X can To be the width direction of display panel.
However such design may make display panel occur in the horizontal direction or vertical direction arrangement it is light and dark Concealed wire.
Based on this, the embodiment of the present invention provide it is a kind of for assessing the approximating method of the threshold curve of black matrix, by this Threshold curve can assess black matrix.
As shown in Fig. 2, the approximating method of the threshold curve includes the following steps:
S11, multiple extended along first direction X according to what the black matrix of each sample in multiple sample display panels included The width of the width of shading strip, sub-pix, is calculated the contrast sensitivity function value of each sample;Wherein, the edge in multiple samples The shading strip that first direction X extends all has N kind width, N >=2;The width of shading strip at least partly in sample, with other samples The width of middle shading strip is not completely equivalent.
Wherein, first direction X is the length direction of each sample, alternatively, first direction X is the width side of each sample To.
Contrast sensitivity is the inverse for the contrast threshold that human visual system can perceive, and contrast threshold is low, then compares Susceptibility is high, and visual performance is good.In a certain spatial frequency, vision system has certain contrast sensitivity, sensitive in same comparison When spending, vision system has certain spatial frequency resolving power.
It should be noted that the shading strip in the embodiment of the present invention each means the shading strip extended along first direction X.
By taking above-mentioned sample all has the shading strip of two kinds of width as an example.Under same ambient brightness and observed range, Actual observation has been carried out to the concealed wire of sample, has obtained observed result as shown in table 1 below.
Table 1
Wherein, it zero representing without dark line, △ represents slight dark line, ▲ represent serious dark line, shading strip width difference value=(two Difference/2 of kind shading strip width) × sub-pix width × 100%.
It is achieved that, under certain viewing distance, dark line severity can be with the increasing of sample shading strip width difference It aggravates greatly, is positively correlated.Moreover, dark line severity also can be in sample P PI (Pixel Per Inch, pixel density) It is negatively correlated, that is, dark line severity weakens with the increase of sample P PI.
It follows that the visibility of sample dark line is related with the shading strip width of sample and sub-pix width.
S12, according to multiple samples and different observed ranges, it is corresponding that the sample under different observed ranges is calculated Spatial frequency values;For each sample, will under same ambient brightness and corresponding observed range, human eye observation's sample it is dark The visible or invisible situation of line, is labeled in using spatial frequency as abscissa, and contrast sensitivity function value is in the coordinate system of ordinate.
The spatial frequency values of sample are related with the observed range of sample and the sample, and identical sample works as tester When observed range difference apart from sample, then spatial frequency values are different.
Perception according to the vision of human eye to brightness, ambient brightness can be divided into photopic vision, noctovision and mesopic vision.It is more A sample can be respectively in same photopic vision ambient brightness, same noctovision ambient brightness and same mesopic vision ambient brightness Under, it is observed by changing observed range.When needing to obtain the threshold curve under photopic vision ambient brightness, multiple samples can In same photopic vision ambient brightness, it is observed by changing observed range.When needing to obtain the threshold under noctovision ambient brightness When being worth curve, multiple samples can be observed in same noctovision ambient brightness by changing observed range.In needing to obtain When threshold curve under mesopic vision ambient brightness, multiple samples can in same mesopic vision ambient brightness, by change observation away from From being observed.
Still by taking above-mentioned sample all has the shading strip of two kinds of width as an example.The size for selecting sample is 23.6 inch, points Resolution is HD1366 × 768.Under same ambient brightness (such as photopic vision), sample concealed wire is carried out in different observed ranges Actual observation, observed result are as shown in table 2 below.Wherein, it is 4 samples point under 127 grayscale environment that brightness is only listed in table 2 Observed result after not being observed under different observed ranges.
Table 2
Wherein, it zero representing without dark line, △ represents slight dark line, ▲ represent serious dark line, shading strip width difference value=(two Difference/2 of kind shading strip width) × sub-pix width × 100%.
As can be seen from Table 2, dark line becomes serious with the increase of shading strip width difference value.Moreover, working as observed range Relatively close, i.e., human eye is smaller at a distance from sample, then it is seen by person be sample sub-pix, can not observe dark line.Work as observation Farther out, i.e., human eye is larger at a distance from sample, and dark line can not also be differentiated by human eye for distance.Therefore, there are one when observation dark line Optimal observed range.
According to above-mentioned observed result, for each sample, if the sample in the dark line under corresponding observed range as it can be seen that if Above-mentioned using spatial frequency as abscissa, contrast sensitivity function value is in the coordinate system of ordinate, in the space frequency by sample Rate and the sample are at the coordinate points that the contrast sensitivity function value under corresponding observed range determines, such as mark △.If sample is in phase Dark line under the observed range answered is invisible, then in above-mentioned coordinate system, in the spatial frequency by the sample with the sample right At the coordinate points for answering the contrast sensitivity function value under observed range to determine, such as mark zero.
According to the method, by all samples under same ambient brightness, different observed ranges, the practical sight of the concealed wire of observation It surveys result to be labeled in one by one, using spatial frequency as abscissa, contrast sensitivity function value is in the coordinate system of ordinate, such as such as Fig. 3 It is shown.
S13, fit threshold curve are used in the coordinate points for identifying visible situation and the coordinate for identifying invisible situation Point is located at the two sides (as shown in Figure 3) of threshold curve.
It should be noted that it will be understood by those skilled in the art that different threshold values need to be fitted when above-mentioned N difference Curve.For example, under the premise of determining ambient brightness, as N=2, need according to tool there are two types of the sample of the shading strip of width into The fitting of row threshold curve.As N=3, need to carry out threshold curve fitting according to the sample for having the shading strip there are three types of width.
In addition, ignoring with the threshold curve apart it will be understood by those skilled in the art that can choose in fit threshold curve Farther away coordinate points, to reduce error.
The embodiment of the present invention is by under same ambient brightness and different observed ranges, in conjunction with human eye actual observation sample The visible or invisible situation of product concealed wire, and will be seen that or invisible situation is labeled in using spatial frequency as abscissa, it compares quick Sensitivity value is in the coordinate system of ordinate, and fitting obtains threshold curve.To by human eye to the sensibility theory of spatial frequency and Actual observation result is fitted, and can accurately reflect the otherness of black matrix width, so that whether assessment dark line is visible more It gears to actual circumstances, improves the accuracy of assessment.
Optionally, as shown in figure 4, the multiple shadings extended along first direction X for including according to the black matrix of each sample The width of the width of item, sub-pix, is calculated the contrast sensitivity function value of each sample, comprising:
S111, each sample, multiple shading strips extended along first direction X that the black matrix according to sample includes are directed to Width, sub-pix width and sample in different colours sub-pix brightness ratio, obtain corresponding with the sample continuous Brightness distribution curve;The abscissa of brightness distribution curve is width, and ordinate is brightness.
It can be selected according to sample to improve the resolution ratio of subsequent step frequency domain spectrum when obtaining brightness distribution curve The minimum repetition period for selecting pixel, choose the cycle length of more than two pixels.Period more multifrequency spectral resolution is higher, thus Improve the accuracy of calculated result.It is exemplary, for have there are two types of width shading strip and shading strip width difference value be 11.0% sample can choose the brightness distribution curve (as shown in Figure 5 b) in four periods.
It is exemplary, width, the sub-pix of the multiple shading strips extended along first direction X that can include by the black matrix of sample Width and sample in different colours sub-pix brightness ratio input Matlab, to establish the Luminance Distribution in multiple periods Curve.Wherein, when establishing brightness distribution curve, according to above- mentioned information (multiple screenings extended in the same direction that black matrix includes The brightness ratio of the sub-pix of different colours in the width of striation, the width of sub-pix and sample), carry out linear line Obtain brightness distribution curve corresponding with each sample.
S112, according to brightness distribution curve, obtain frequency domain spectra corresponding with sample.
It is exemplary, for the sample of the shading strip with a kind of width (i.e. shading strip width difference value is 0%), brightness Distribution curve is as shown in Figure 5 a, and it is as shown in Figure 8 a to obtain corresponding frequency domain spectra.For having, there are two types of the shading strip of width and shadings The sample that width difference value is 11.0%, brightness distribution curve is as shown in Figure 5 b, obtains corresponding frequency domain spectra such as Fig. 8 b institute Show.
S113, according to the component spectrum and direct current of the concealed wire period corresponding absolute space frequency in the frequency domain spectra of sample The contrast sensitivity function value of sample is calculated in component spectrum;Wherein, contrast sensitivity function value=(concealed wire in the frequency domain spectra of sample Component spectrum/DC component spectrum of period corresponding absolute space frequency) × 2 × 100%.
In actual observation, light and dark striped brightness curve is usually sine wave curve.Contrast sensitivity indicate be Comparison of the bright and dark phase of light and dark striped for average brightness value, contrast sensitivity function value is higher, the easier resolution item of human eye Line.
The definition of contrast sensitivity function value be (brightness maxima-brightness minimum value)/(brightness maxima+brightness minimum value) × 100%.In frequency domain spectra, contrast sensitivity function value can be converted into, contrast sensitivity function value=(the concealed wire period in the frequency domain spectra of sample Component spectrum/DC component spectrum of corresponding absolute space frequency) × 2 × 100%, wherein DC component spectrum is the frequency Frequency is zero corresponding component spectrum in the spectrum of domain.
Absolute space frequency is defined as the periodicity that sinusoidal in unit length quantitatively changes.Herein, the concealed wire period is corresponding Absolute space frequency be concealed wire periodicity in unit length.By taking the sample of the shading strip of width there are two types of having as an example, The concealed wire period is two pixel wides, concealed wire period corresponding absolute space frequency=1/ (two pixel wides).
On this basis, optionally, as shown in fig. 6, according to the black matrix of sample include it is multiple along first direction X extend The width of parallel shading strip, in the width of sub-pix and sample the sub-pix of different colours brightness ratio, obtain and sample Corresponding brightness distribution curve, comprising:
S1111, the width of multiple parallel shading strips extended along first direction X for including according to the black matrix of sample, Asia The width of pixel obtains the width and sub- picture for multiple parallel shading strips extended in the same direction that the black matrix of sample includes The integer ratios of plain width;The width for multiple parallel shading strips extended along first direction X that black matrix according to sample includes And in the integer ratios of sub-pix width, sample the sub-pix of different colours brightness ratio, obtain brightness corresponding with sample Distribution curve.
Due to the multiple shading strip width and sub-pix width extended along first direction X for including by the black matrix of sample Ratio round numbers so that calculate it is simpler, when obtaining brightness distribution curve corresponding with sample, shorten operation time.
Optionally, different colours include the first color, the second color and third color, and the first color, the second color and Third color is three primary colours.
Based on this, the brightness ratio of the sub-pix of different colours in sample, by monochromatic first color and grayscale is centre Grayscale, monochromatic second color and grayscale are that intermediate grayscale, monochromatic third color and grayscale are under intermediate grayscale, the sample of test Brightness value obtains.For example, the intermediate grayscale of monochrome 8bit picture is 127 grayscale, the intermediate grayscale of monochromatic 10bit picture is 512 Grayscale.
By taking red, green, blue three primary colours as an example, respectively monochromatic grayscale be 127 red picture, monochromatic grayscale be 127 it is green The brightness value of test sample under the blue picture that color picture and monochromatic grayscale are 127.It is opened ignoring three kinds of sub-pixes of red, green, blue In the case where the difference of mouth rate, three kinds of sub-pix brightness ratios of red, green, blue can be equal to three color sprite of red, green, blue Sample brightness ratio, such as brightness ratio can be red: green: indigo plant=10:39:7.
It, should due to needing to obtain spatial frequency corresponding to the concealed wire of sample when whether the concealed wire for assessing sample is visible The absolute size of spatial frequency and the sub-pix brightness number of different colours is not related, therefore, the Asia of different colours in sample The brightness ratio of pixel can also be calculated with round numbers ratio to simplify.
It, can be too high or too in intensity gray scale to avoid sample since intensity gray scale is selected as more apparent intermediate grayscale In the case where low, the larger situation of observation difficulty of the human eye to dark line is observed dark line convenient for human eye.
Optionally, as shown in fig. 7, according to luminance part curve, frequency domain spectra corresponding with sample is obtained, comprising:
S1121, brightness distribution curve is sampled, and using sampling interval corresponding absolute space frequency as sampling frequency Rate;Fast Fourier Transform (FFT) function is called, Fast Fourier Transform (FFT) is carried out, obtains frequency domain spectra corresponding with sample.
It is understood that brightness distribution curve shows as rectangular wave as shown in figure 5 a and 5b in Time Domain Spectrum, pass through Fast Fourier Transform (FFT) after brightness distribution curve is transformed from the time domain to frequency domain, obtains the frequency domain spectra of brightness distribution curve (such as Shown in Fig. 8 a and Fig. 8 b), wherein the horizontal axis in frequency domain spectra is frequency, and the longitudinal axis is amplitude.It is learnt by frequency domain spectra, the square in time domain Shape wave is made of the sine-wave superimposed as multiple frequencies.
After Fast Fourier Transform (FFT), each of Time Domain Spectrum sampled point just corresponds to a frequency in frequency domain spectra The spectrum of point, each sampled point in Time Domain Spectrum is exactly the amplitude characteristic of the point in corresponding frequency domain spectra.In the frequency domain spectra The corresponding spectrum of one sampled point is above-mentioned DC component spectrum.
When above-mentioned N variation, dark line period corresponding component spectrum can also change in the sample frequency domain spectra.Example , for having the sample that there are two types of the shading strip of width and shading strip width difference value is 11.0%, frequency domain spectra is (such as Fig. 8 b institute Show) in component spectrum at concealed wire period corresponding absolute space frequency (such as 1X) differ markedly from for a kind of width In the frequency domain spectra (as shown in Figure 8 a) of the sample of (i.e. shading strip width difference value is 0%), concealed wire period corresponding absolute space Component spectrum at frequency.
Fast Fourier Transform (FFT) function is called by software for calculation such as Matlab, Fast Fourier Transform (FFT) is carried out, obtains The component spectrum and DC component spectrum of concealed wire period corresponding absolute space frequency in frequency domain spectra, so that the comparison of sample is quick The calculation amount of sensitivity value reduces, and shortens operation time.
Optionally, for each sample, according to formulaIt is calculated in corresponding observation Spatial frequency values apart from lower sample;Wherein, as shown in figure 9, CPD is spatial frequency values, l is the human eye institute under the observed range The product of the spacing of the number and concealed wire of the concealed wire for the sample that can be observed, t are the spacing of adjacent concealed wire, and d is observed range.
Spatial frequency refers to the bright periodicity for secretly making Sine Modulated of image or stimulation figure in every degree visual angle, that is, every degree The periodicity of sample dark line in visual angle.The view angle theta range of observing samples is different under different observed ranges, the week of obtained dark line Issue is also different, and for same sample, observed range d is bigger, and spatial frequency is bigger.
The embodiment of the present invention also provides a kind of appraisal procedure of black matrix, as shown in Figure 10, includes the following steps:
The width of S21, the multiple shading strips extended along first direction X for including according to the black matrix of display panel to be assessed The width of degree, sub-pix, is calculated the contrast sensitivity function value of display panel to be assessed.
It is understood that having N kind wide along the shading strip that first direction X extends in the black matrix of display panel to be assessed Degree.
S22, using the contrast sensitivity function value of display panel to be assessed as ordinate, the most sensitive spatial frequency values of human eye are made For the coordinate points of abscissa, it is labeled in the approximating method by the above-mentioned threshold curve for assessing black matrix, obtained threshold In coordinate system where value curve;Wherein, the shading strip of display panel to be assessed extended along first direction X, with threshold curve Shading strip in corresponding sample along first direction X extension is with N kind width.
If S23, the coordinate points are located at the lower section of threshold curve, the concealed wire of display panel to be assessed is visible;If the coordinate Point is located at the top of threshold curve, then the concealed wire of display panel to be assessed is invisible.
It should be noted that having N kind wide along the shading strip that first direction X extends in the black matrix of display panel to be assessed In the case where degree, the threshold curve for needing the sample according to the black matrix of the shading strip with M kind width to obtain is compared, with Judge whether the concealed wire of display panel to be assessed is visible.M≥N.For example, if along first party in the black matrix of display panel to be assessed The shading strip tool extended to X then needs the sample according to the black matrix for having the shading strip there are two types of width to obtain there are two types of width Threshold curve, carry out concealed wire visibility evaluation.
It is exemplary, it, can be by display panel to be assessed for having the display panel to be assessed of the shading strip there are two types of width Contrast sensitivity function value as ordinate, coordinate points of the most sensitive spatial frequency values of human eye as abscissa, and according to having The threshold curve that the sample of the black matrix of the shading strip of two kinds of width is fitted compares.Judge that the coordinate points are located at threshold value The top or lower section of curve, if the coordinate points are located at the lower section of threshold curve, the concealed wire of display panel to be assessed is visible;If The coordinate points are located at the top of threshold curve, then the concealed wire of display panel to be assessed is invisible.
Therefore, the embodiment of the present invention contacts display panel to be assessed and the foundation of sample actual observation data, by human eye pair The sensibility theory and actual observation result of spatial frequency combine, so that assessment result is more realistic, improve the accurate of assessment Property.
Optionally, according toObtain the most sensitive sky of human eye Between frequency values;Wherein, CPD is spatial frequency, and Af is the sensitivity function of human eye.As shown in figure 11, to the susceptibility letter of human eye Number Af takes logarithmic coordinates, obtains the most sensitive spatial frequency values of human eye and takes CPD=9.18.
By taking above-mentioned sample all has the shading strip of two kinds of width as an example.Preferred dimension is 23.6 inches, resolution ratio is HD1366 × 768, the sample that pixel wide is 381.75 μm change the display picture of sample, to it under same ambient brightness Concealed wire has carried out actual observation, as shown in table 3 below.
Table 3
Show picture Best observed range (cm)
Brightness is the pure white picture of 127 grayscale ≈40
Brightness is the pure white picture of 255 grayscale ≈40
Brightness is the true yellow picture of 255 grayscale ≈37
As can be seen from Table 3, no matter how the display picture of sample changes, and the best observed range of concealed wire is each about 40cm, and the spatial frequency being obtained by calculation at this time is 9.14, the spatial frequency values 9.18 most sensitive close to above-mentioned human eye. Therefore, the spatial frequency values for selecting human eye most sensitive are assessed, and meet practical human eye to the best observation effect of concealed wire.
Display panel to be assessed is labeled in the approximating method by the above-mentioned threshold curve for being used to assess black matrix, is obtained To threshold curve where coordinate system in when, the spatial frequency values 9.18 most sensitive using human eye are as abscissa, with to be assessed The contrast sensitivity function value of display panel is as ordinate, so that the relationship of spatial frequency and human eye sensitivity is established, so that assessment As a result more realistic, improve the accuracy of assessment.
The embodiments of the present invention also provide a kind of design method of product, the appraisal procedure including above-mentioned black matrix, With effect identical with the appraisal procedure of above-mentioned black matrix, details are not described herein.
The embodiments of the present invention also provide a kind of computer-readable mediums, are stored thereon with computer program, computer Program is performed, and the approximating method of the above-mentioned threshold curve for assessing black matrix is realized, alternatively, realizing above-mentioned black square The appraisal procedure of battle array.
The embodiments of the present invention also provide a kind of electronic equipment, comprising: processor, memory;Memory is for storing One or more programs;When one or more programs are executed by processor, the above-mentioned threshold value for being used to assess black matrix is realized The approximating method of curve, alternatively, realizing the appraisal procedure of above-mentioned black matrix.
Those of ordinary skill in the art will appreciate that: realize that all or part of the steps of above method embodiment can pass through The relevant hardware of program instruction is completed, and program above-mentioned can be stored in a computer readable storage medium, the program When being executed, step including the steps of the foregoing method embodiments is executed;And storage medium above-mentioned includes: ROM, RAM, magnetic disk or light The various media that can store program code such as disk.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any Those familiar with the art in the technical scope disclosed by the present invention, can easily think of the change or the replacement, and should all contain Lid is within protection scope of the present invention.Therefore, protection scope of the present invention should be based on the protection scope of the described claims.

Claims (11)

1. a kind of for assessing the approximating method of the threshold curve of black matrix characterized by comprising
Multiple shading strips extended in a first direction that black matrix according to each sample in multiple sample display panels includes The contrast sensitivity function value of each sample is calculated in the width of width, sub-pix;Wherein, in multiple samples along described The shading strip that first direction extends all has N kind width, N >=2;The width of shading strip described in at least partly described sample Degree, is not completely equivalent with the width of shading strip described in sample described in other;The first direction is the length of each sample Direction is spent, alternatively, the first direction is the width direction of each sample;
According to multiple samples and different observed ranges, it is corresponding that the sample under different observed ranges is calculated Spatial frequency values;It, will be under same ambient brightness and corresponding observed range, described in human eye observation for each sample The visible or invisible situation of the concealed wire of sample, is labeled in using spatial frequency as abscissa, and contrast sensitivity function value is ordinate In coordinate system;
Fit threshold curve is used in the coordinate points for identifying visible situation and the coordinate points difference position for identifying invisible situation In the two sides of the threshold curve.
2. according to claim 1 for assessing the approximating method of the threshold curve of black matrix, which is characterized in that according to every The width of the width of multiple shading strips extended in a first direction that the black matrix of a sample includes, sub-pix is calculated every The contrast sensitivity function value of a sample, comprising:
For each sample, the black matrix according to the sample include it is multiple along the first direction extend the screenings The brightness ratio of the sub-pix of different colours in the width of striation, the width of sub-pix and the sample, obtains and the sample Corresponding continuous brightness distribution curve;The abscissa of the brightness distribution curve is width, and ordinate is brightness;
According to the brightness distribution curve, frequency domain spectra corresponding with the sample is obtained;
According to the component spectrum and DC component of the concealed wire period corresponding absolute space frequency in the frequency domain spectra of the sample The contrast sensitivity function value of the sample is calculated in spectrum;
Wherein, the contrast sensitivity function value=(concealed wire period corresponding absolute space frequency in the frequency domain spectra of the sample Component spectrum/DC component spectrum) × 2 × 100%.
3. according to claim 2 for assessing the approximating method of the threshold curve of black matrix, which is characterized in that according to institute State the width for multiple shading strips extended along the first direction that the black matrix of sample includes, the width of sub-pix, Yi Jisuo The brightness ratio for stating the sub-pix of different colours in sample obtains brightness distribution curve corresponding with the sample, comprising:
Width, the sub-pix for multiple shading strips extended along the first direction that black matrix according to the sample includes Width, obtain multiple shading strips extended along the first direction that the black matrix of the sample includes width and The integer ratios of sub-pix width;
The multiple shading strip width extended along the first direction and sub- picture that black matrix according to the sample includes The brightness ratio of the sub-pix of different colours in the integer ratios of plain width, the sample, obtains brightness corresponding with the sample Distribution curve.
4. according to claim 2 or 3 for assessing the approximating method of the threshold curve of black matrix, which is characterized in that institute Stating different colours includes the first color, the second color and third color, and the first color, the second color and third color are three bases Color;
The brightness ratio of the sub-pix of different colours in the sample, by monochromatic first color and grayscale is intermediate grayscale, list The second color of color and grayscale are that intermediate grayscale, monochromatic third color and grayscale are under intermediate grayscale, the sample of test it is bright Angle value obtains.
5. according to claim 2 or 3 for assessing the approximating method of the threshold curve of black matrix, which is characterized in that root According to the luminance part curve, frequency domain spectra corresponding with the sample is obtained, comprising:
The brightness distribution curve is sampled, and using sampling interval corresponding absolute space frequency as sample frequency;
Fast Fourier Transform (FFT) function is called, Fast Fourier Transform (FFT) is carried out, obtains frequency domain spectra corresponding with the sample.
6. according to claim 1 for assessing the approximating method of the threshold curve of black matrix, which is characterized in that
For each sample, according to formulaThe institute under corresponding observed range is calculated State the spatial frequency values of sample;
Wherein, CPD is the spatial frequency values, and l is described in human eye can observe under the observed range the sample The product of the number of concealed wire and the spacing of the concealed wire, t are the spacing of the adjacent concealed wire, and d is the observed range.
7. a kind of appraisal procedure of black matrix characterized by comprising
Width, the sub-pix for multiple shading strips extended in a first direction that black matrix according to display panel to be assessed includes The contrast sensitivity function value of the display panel to be assessed is calculated in width;
Using the contrast sensitivity function value of the display panel to be assessed as ordinate, the most sensitive spatial frequency values of human eye are as horizontal The coordinate points of coordinate are labeled in by described in any one of claims 1-6 for assessing the fitting of the threshold curve of black matrix Method, in the coordinate system where obtained threshold curve;Wherein, the display panel to be assessed along the first direction extend The shading strip, along the shading strip that the first direction extends be to have in sample corresponding with the threshold curve N kind width;
If the coordinate points are located at the lower section of the threshold curve, the concealed wire of the display panel to be assessed is visible;If the coordinate Point is located at the top of the threshold curve, then the concealed wire of the display panel to be assessed is invisible.
8. the appraisal procedure of black matrix according to claim 7, which is characterized in that further include: according toObtain the most sensitive spatial frequency values of human eye;Wherein, CPD is Spatial frequency, Af are the sensitivity function of human eye.
9. a kind of design method of product, which is characterized in that the appraisal procedure including black matrix described in claim 7 or 8.
10. a kind of computer-readable medium, is stored thereon with computer program, which is characterized in that the computer program is held When row, the approximating method of the threshold curve as claimed in any one of claims 1 to 6 for being used to assess black matrix is realized, alternatively, real The now appraisal procedure of black matrix as claimed in claim 7 or 8.
11. a kind of electronic equipment characterized by comprising processor, memory;The memory is for storing one or more A program;
When one or more of programs are executed by the processor, as claimed in any one of claims 1 to 6 be used for is realized The approximating method for assessing the threshold curve of black matrix, alternatively, realizing the appraisal procedure of black matrix as claimed in claim 7 or 8.
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