CN108062940B - Brightness of image acquisition methods in external optical compensation - Google Patents
Brightness of image acquisition methods in external optical compensation Download PDFInfo
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- CN108062940B CN108062940B CN201711354889.3A CN201711354889A CN108062940B CN 108062940 B CN108062940 B CN 108062940B CN 201711354889 A CN201711354889 A CN 201711354889A CN 108062940 B CN108062940 B CN 108062940B
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- G09G5/00—Control arrangements or circuits for visual indicators common to cathode-ray tube indicators and other visual indicators
- G09G5/10—Intensity circuits
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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- G09G2320/00—Control of display operating conditions
- G09G2320/06—Adjustment of display parameters
- G09G2320/0626—Adjustment of display parameters for control of overall brightness
Abstract
The present invention provides the brightness of image acquisition methods in a kind of compensation of external optical, the brightness data of each pixel in the brightness data and the second pattern of each pixel in the first pattern is fitted respectively using dimensional gaussian distribution function, and first amplitude deviant C obtained will be fitted by datahWith the second magnitude shift value CbIt neglects, obtains the dimensional gaussian distribution function f (x) of each pixel intensity in first patternHAnd second each pixel intensity in pattern dimensional gaussian distribution function f (x)B, pass through f (x)H、f(x)BThe brightness value of each pixel is just in same level in the brightness value, the second pattern of each pixel in calculated first pattern, so as to eliminate by piece image split into produced by first pattern and the second pattern is shot respectively luminance difference, make compensation it is more accurate.
Description
Technical field
The present invention relates to the brightness of image acquisition methods in display technology domain more particularly to a kind of compensation of external optical.
Background technique
Active matrix organic light-emitting diode (Active Matrix Organic Light Emitting Diode,
AMOLED) display has that self-luminous, driving voltage is low, luminous efficiency is high, the response time is short, clarity and contrast are high, close
180 ° of visual angles, use temperature range are wide, it can be achieved that many advantages, such as Flexible Displays and large area total colouring, are known as by industry
It is the display device for most having development potentiality, is mainly used in TV, mobile electronic device etc. at present.
However, displayer still has some obvious defects.
Firstly, since the driving thin film transistor (TFT) (Thin Film Transistor, TFT) in each pixel (Pixel)
The problem of being had differences with organic light emitting diode device itself, will appear brightness irregularities when showing image.Although some existing
Some compensation techniques solve influence of the threshold voltage (Vth) of driving thin film transistor (TFT) to display brightness, but cost is necessary
Complicated compensation circuit is designed, causes pixel aperture ratio to reduce, also has to pixel density and definitely limit.
Secondly, there are property difference between each pixel, such as cross-pressure of different Organic Light Emitting Diodes and luminous efficiency are different.
Existing solution is compensated using external optical show that displayer normally.External optical compensation need using
Optical detection apparatus shoots the image that displayer is shown, acquires the optical signallings such as the brightness of each pixel, and by optics
Signal is converted to digital signal.Since the light-sensing element array in the pixel array and optical detection apparatus in piece image is
It arranges in a regular array, if the spatial distribution frequency of the spatial frequency of photosensitive element and each pixel in its captured image
It is close, beat phenomenon will be generated after the two superposition, leads to the appearance of moire fringes.In order to reduce moire fringes to the shadow of shooting effect
It rings, piece image is exactly split into first pattern and the second pattern and shot respectively by a kind of solution, is shone with changing
The spatial distribution frequency of pixel finally will distinguish collected Data Synthesis piece image to first pattern and the second pattern.Such as
Shown in Fig. 1, since first pattern and the second pattern is shot in different time, it is completely the same not can guarantee shooting condition, causes pair
First Collecting Pattern to data and different level is in the data that the second Collecting Pattern arrives, there are luminance differences, especially exist
When the grayscale of image is lower, this luminance difference can not be ignored.
Summary of the invention
The purpose of the present invention is to provide the brightness of image acquisition methods in a kind of compensation of external optical, can eliminate one
Width image split into produced by first pattern and the second pattern is shot respectively luminance difference, make compensation it is more accurate.
To achieve the above object, the present invention provides the brightness of image acquisition methods in a kind of compensation of external optical, including such as
Lower step:
Step S1, the piece image for showing display splits into first pattern and the second pattern；The first pattern packet
Multiple pixels are included, second pattern includes multiple pixels in the piece image in addition to first pattern；
Step S2, it shoots the first pattern and the second pattern respectively using optical detection apparatus, acquires first figure
In case in the brightness data of each pixel and the second pattern each pixel brightness data, utilize dimensional gaussian distribution functionRespectively to the brightness data and the second figure of each pixel in first pattern
The brightness data of each pixel is fitted in case, obtains the first amplitude weighted value A for each pixel intensity in the first patternh、
First standard deviation δhWith first amplitude deviant ChAnd the second amplitude weighting value A for each pixel intensity in the second patternb、
Second standard deviation δbWith the second magnitude shift value Cb；
Step S3, ignore the first amplitude deviant ChWith the second magnitude shift value Cb, obtain each in first pattern
The dimensional gaussian distribution function f (x) of pixel intensityHAnd second each pixel intensity in pattern dimensional gaussian distribution function f (x)B,
Wherein:
Step S4, x=0 is substituted into the dimensional gaussian distribution function f (x) of each pixel intensity in first pattern respectivelyH,
With the corresponding distribution peaks that are calculated to the brightness value that should be used as each pixel in first pattern；X=0 is substituted into institute respectively
State the dimensional gaussian distribution function f (x) of each pixel intensity in the second patternB, make so that the corresponding distribution peaks being calculated are corresponding
For the brightness value of each pixel in second pattern；
Step S5, merge the brightness of each pixel in the brightness value and second pattern of each pixel in first pattern
Value, obtains the brightness value of the piece image.
The optical detection apparatus includes multiple CCD, using several when the step S2 acquires the brightness data of each pixel
CCD shoots same pixel simultaneously.
Optionally, the step S1 splits into the first pattern and by the piece image that interval mode shows display
Two patterns；The step S2 utilizes the dimensional gaussian distribution function brightness data to each pixel in first pattern and the respectively
When the brightness data of each pixel is fitted in two patterns, selection is influenced small brightness data, data fitting side by adjacent pixel
To in horizontal or vertical direction.
Optionally, the step S1 splits into the first pattern and by the piece image that row interval mode shows display
Two patterns；The step S2 utilizes the dimensional gaussian distribution function brightness data to each pixel in first pattern and the respectively
When the brightness data of each pixel is fitted in two patterns, selection is influenced small brightness data, data fitting side by adjacent pixel
To along longitudinal direction.
Optionally, the step S1 splits into the first pattern and by the piece image that column interval mode shows display
Two patterns；The step S2 utilizes the dimensional gaussian distribution function brightness data to each pixel in first pattern and the respectively
When the brightness data of each pixel is fitted in two patterns, selection is influenced small brightness data, data fitting side by adjacent pixel
To transversely.
Beneficial effects of the present invention: the brightness of image acquisition methods in a kind of external optical compensation provided by the invention lead to
Cross using dimensional gaussian distribution function respectively in the brightness data and the second pattern of each pixel in the first pattern each pixel it is bright
Degree obtains the first amplitude weighted value A for each pixel intensity in the first pattern according to being fittedh, the first standard deviation δhWith
One magnitude shift value ChAnd the second amplitude weighting value A for each pixel intensity in the second patternb, the second standard deviation δbWith
Two magnitude shift value Cb, and by the first amplitude deviant ChWith the second magnitude shift value ChIt neglects, obtains first figure
The dimensional gaussian distribution function f (x) of each pixel intensity in caseHAnd second each pixel intensity in pattern dimensional gaussian distribution function
f(x)B, pass through f (x)H、f(x)BEach pixel in the brightness value, the second pattern of each pixel in calculated first pattern
Brightness value is just in same level, piece image is split into first pattern and the second pattern claps respectively so as to eliminate
Produced by taking the photograph luminance difference, keep compensation more accurate.
Detailed description of the invention
For further understanding of the features and technical contents of the present invention, it please refers to below in connection with of the invention detailed
Illustrate and attached drawing, however, the drawings only provide reference and explanation, is not intended to limit the present invention.
In attached drawing,
Fig. 1 is the first pattern and second when piece image being split into first pattern and the second pattern to be shot respectively
There are the curve synoptic diagrams of luminance difference for pattern；
Fig. 2 is the flow chart of the brightness of image acquisition methods in external optical compensation of the invention；
Fig. 3 is that the brightness of image acquisition methods in external optical compensation of the invention are shown display by interval mode
Piece image split into the schematic diagram of first pattern and the second pattern；
Fig. 4 is that the brightness of image acquisition methods in external optical compensation of the invention are shown display by row interval mode
Piece image split into the schematic diagram of first pattern and the second pattern；
Fig. 5 is that the brightness of image acquisition methods in external optical compensation of the invention are shown display by column interval mode
Piece image split into the schematic diagram of first pattern and the second pattern；
Fig. 6 is when brightness of image acquisition methods in external optical compensation of the invention acquire the brightness data of each pixel
Schematic diagram；
Fig. 7 be brightness of image acquisition methods in external optical compensation of the invention for the first pattern shown in Fig. 3 with
Second pattern collected pixel intensity two-dimensional surface schematic diagram；
The curve synoptic diagram for the dimensional gaussian distribution function that Fig. 8 is met by pixel brightness data.
Specific embodiment
Further to illustrate technological means and its effect adopted by the present invention, below in conjunction with preferred implementation of the invention
Example and its attached drawing are described in detail.
Referring to Fig. 2, the present invention provides the brightness of image acquisition methods in a kind of compensation of external optical, including walk as follows
It is rapid:
Step S1, Fig. 3, Fig. 4 or Fig. 5 are please referred to, the piece image that display is shown splits into the first pattern H and second
Pattern B, wherein the first pattern H includes multiple pixel Ph, the second pattern B includes in the piece image except described
Multiple pixel P other than first pattern Hb。
Optionally, as shown in figure 3, step S1 can be split by the piece image that interval mode shows display
First pattern H and the second pattern B.Multiple pixel P in the first pattern HhIt is even for odd-numbered line odd column pixel and even number line
Ordered series of numbers pixel, multiple pixel P in the second pattern BbFor odd-numbered line even column pixels and even number line odd column pixel.
Optionally, as shown in figure 4, step S1 can be split by the piece image that row interval mode shows display
First pattern H and the second pattern B.Multiple pixel P in the first pattern HhFor odd-line pixels, in the second pattern B
Multiple pixel PbFor even rows.
Optionally, as shown in figure 5, step S1 can be split by the piece image that column interval mode shows display
First pattern H and the second pattern B.Multiple pixel P in the first pattern HhFor odd column pixel, in the second pattern B
Multiple pixel PbFor even column pixels.
Step S2, the first pattern H and the second pattern B are shot respectively using optical detection apparatus first, described in acquisition
Each pixel P in first pattern HhBrightness data and the second pattern B in each pixel PbBrightness data.
Specifically, the optical detection apparatus include multiple charge coupled cells (Charge-coupled Device,
CCD), also known as ccd image sensor；In order to improve shooting precision, as shown in fig. 6, meeting when acquiring the brightness data of each pixel
Same pixel is shot simultaneously using several CCD, then the superimposed light emission luminance for obtaining the pixel；If N is just greater than 1
Integer, the ratio that N number of CCD is shot to a pixel simultaneously is defined as N:1 (N=9,16,25 ...), with 16:1 to Fig. 3 example
When the first pattern H and the second pattern B out is shot, pixel brightness data collected is as shown in Figure 7, it is seen then that any one
The brightness data of light emitting pixel shows Two dimensional Distribution situation, in conjunction with pixel light emission principle and CCD shooting principle it is found that the two dimension
Distribution meets dimensional gaussian distribution, i.e. distribution function f (x) meets:
Wherein, A is amplitude weighting value, δ is standard deviation, C is magnitude shift value；
It is assumed that pixel center position μ is 0, then (1) formula can simplify dimensional gaussian distribution function as shown in Figure 8:
Then utilize dimensional gaussian distribution function f (x) represented by (2) formula respectively to each pixel in the first pattern H
PhBrightness data and the second pattern B in each pixel PbBrightness data be fitted, just can obtain in the first pattern H
Each pixel PhThe first amplitude weighted value A of brightnessh, the first standard deviation δhWith first amplitude deviant ChAnd it is directed to the second pattern B
In each pixel PbSecond amplitude weighting value A of brightnessb, the second standard deviation δbWith the second magnitude shift value CbTo get arrive described first
Each pixel P in pattern HhThe dimensional gaussian distribution function f (x) of brightnessHAnd the second each pixel P in pattern BbThe dimensional Gaussian of brightness
Distribution function f (x)BIt is respectively as follows:
It is worth noting that, need to choose is influenced lesser data by adjacent pixel when carrying out data fitting, such as:
As shown in figure 3, if abovementioned steps S1 splits into the first figure by the piece image that interval mode shows display
Case H and the second pattern B then chooses the upper and lower, left and right pixel P without adjacent pixel in the first pattern HhBrightness data
Data fitting is done, the upper and lower, left and right pixel P without adjacent pixel in the second pattern B is chosenbBrightness data do data
Fitting, and data fitting direction is in horizontal or vertical direction；
As shown in figure 4, if abovementioned steps S1 splits into the first figure by the piece image that row interval mode shows display
Case H and the second pattern B then chooses upper and lower, Zuo Junwu adjacent pixel pixel P in the first pattern HhBrightness data do
Upper and lower, Zuo Junwu adjacent pixel pixel P in the second pattern B is chosen in data fittingbBrightness data do data fitting,
And data fitting direction is along longitudinal direction；
As shown in figure 5, if abovementioned steps S1 splits into the first figure by the piece image that column interval mode shows display
Case H and the second pattern B then chooses upper, the left and right pixel P without adjacent pixel in the first pattern HhBrightness data do
Upper, the left and right pixel P without adjacent pixel in the second pattern B is chosen in data fittingbBrightness data do data fitting,
And data fitting direction is transversely.
Step S3, ignore the first amplitude deviant ChWith the second magnitude shift value Cb, obtain in the first pattern H
Each pixel PhThe dimensional gaussian distribution function f (x) of brightnessHAnd the second each pixel P in pattern BbThe dimensional gaussian distribution function of brightness
f(x)B, in which:
Please refer to Fig. 1, actually through shooting, collecting to the first pattern H and the second pattern B in each pixel brightness data
The regularity of distribution is consistent, and the two difference level remains approximate constant, that is to say, that the first amplitude deviant
ChWith the second magnitude shift value CbDifference be approximately constant, it may be assumed that Δ C=Ch-Cb=k, then, step S3 neglects described
One magnitude shift value ChWith the second magnitude shift value CbIt can make the collected data of the first pattern H and the second pattern B is collected
Data be substantially at same level.
Step S4, x=0 is substituted into each pixel P in the first pattern H respectivelyhThe dimensional gaussian distribution function f of brightness
(x)H, with the corresponding distribution peaks that are calculated to should be used as each pixel P in the first pattern HhBrightness value fH；By x=0
Each pixel P in the second pattern B is substituted into respectivelybThe dimensional gaussian distribution function f (x) of brightnessB, with corresponding point be calculated
Cloth peak value is to should be used as each pixel P in the second pattern BbBrightness value fB；That is:
Since above mentioned step S3 have neglected the first amplitude deviant ChWith the second magnitude shift value Cb, pass through f
(x)H、f(x)BThe brightness value of each pixel is just located in the brightness value, the second pattern of each pixel in calculated first pattern
In same level, piece image is split into produced by the first pattern H and the second pattern B shot respectively so as to eliminate
Luminance difference, make it is subsequent compensation it is more accurate.
Step S5, by each pixel P in the first pattern HhBrightness value, each pixel P in the second pattern BbBrightness
Value is corresponding with each pixel position occupied in the piece image respectively, that is, obtains the brightness value of the piece image.
In conclusion the brightness of image acquisition methods in external optical compensation of the invention, by utilizing dimensional Gaussian point
Cloth function is respectively fitted the brightness data of each pixel in the brightness data and the second pattern of each pixel in the first pattern, obtains
To the first amplitude weighted value A for each pixel intensity in the first patternh, the first standard deviation δhWith first amplitude deviant ChWith
And the second amplitude weighting value A for each pixel intensity in the second patternb, the second standard deviation δbWith the second magnitude shift value Cb, and
By the first amplitude deviant ChWith the second magnitude shift value CbIt neglects, obtains each pixel intensity in first pattern
Dimensional gaussian distribution function f (x)HAnd second each pixel intensity in pattern dimensional gaussian distribution function f (x)B, pass through f (x)H、f
(x)BThe brightness value of each pixel is just in same in the brightness value, the second pattern of each pixel in calculated first pattern
Level, so as to eliminate by piece image split into produced by first pattern and the second pattern is shot respectively brightness
Difference keeps compensation more accurate.
The above for those of ordinary skill in the art can according to the technique and scheme of the present invention and technology
Other various corresponding changes and modifications are made in design, and all these change and modification all should belong to claim of the invention
Protection scope.
Claims (8)
1. the brightness of image acquisition methods in a kind of external optical compensation, which comprises the steps of:
Step S1, the piece image for showing display splits into the first pattern (H) and the second pattern (B)；First pattern
It (H) include multiple pixel (Ph), second pattern (B) include in the piece image in addition to first pattern (H)
Multiple pixel (Pb)；
Step S2, first pattern (H) and the second pattern (B), acquisition described first are shot respectively using optical detection apparatus
Each pixel (P in pattern (H)h) brightness data and the second pattern (B) in each pixel (Pb) brightness data, utilize dimensional Gaussian
Distribution functionRespectively to each pixel (P in first pattern (H)h) it is bright
Each pixel (P in degree evidence and the second pattern (B)b) brightness data be fitted, carry out data fitting when, choose by adjacent picture
Element influences lesser data, obtains for each pixel (P in the first pattern (H)h) brightness first amplitude weighted value Ah, first mark
Quasi- difference δhWith first amplitude deviant ChAnd for each pixel (P in the second pattern (B)b) brightness the second amplitude weighting value Ab、
Second standard deviation δbWith the second magnitude shift value Cb；
Step S3, ignore the first amplitude deviant ChWith the second magnitude shift value Cb, obtain each in first pattern (H)
Pixel (Ph) brightness dimensional gaussian distribution function f (x)HAnd the second each pixel (P in pattern (B)b) brightness dimensional gaussian distribution
Function f (x)B, in which:
Step S4, x=0 is substituted into each pixel (P in first pattern (H) respectivelyh) brightness dimensional gaussian distribution function f
(x)H, with the corresponding distribution peaks that are calculated to should be used as each pixel (P in first pattern (H)h) brightness value；By x=
0 substitutes into each pixel (P in second pattern (B) respectivelyb) brightness dimensional gaussian distribution function f (x)B, with the phase being calculated
Answer distribution peaks to should be used as each pixel (P in second pattern (B)b) brightness value；
Step S5, merge each pixel (P in first pattern (H)h) brightness value and second pattern (B) in each pixel
(Pb) brightness value, obtain the brightness value of the piece image.
2. the brightness of image acquisition methods in external optical compensation as described in claim 1, which is characterized in that the optics inspection
Measurement equipment includes multiple CCD, when the step S2 acquires the brightness data of each pixel using several CCD to same pixel simultaneously into
Row shooting.
3. the brightness of image acquisition methods in external optical compensation as described in claim 1, which is characterized in that the step S1
The first pattern (H) and the second pattern (B) are split by the piece image that interval mode shows display.
4. the brightness of image acquisition methods in external optical compensation as described in claim 1, which is characterized in that the step S1
The first pattern (H) and the second pattern (B) are split by the piece image that row interval mode shows display.
5. the brightness of image acquisition methods in external optical compensation as described in claim 1, which is characterized in that the step S1
The first pattern (H) and the second pattern (B) are split by the piece image that column interval mode shows display.
6. the brightness of image acquisition methods in external optical compensation as claimed in claim 3, which is characterized in that the step S2
Using dimensional gaussian distribution function respectively to each pixel (P in first pattern (H)h) brightness data and the second pattern (B)
In each pixel (Pb) brightness data when being fitted, selection is influenced small brightness data by adjacent pixel, and data are fitted direction
In horizontal or vertical direction.
7. the brightness of image acquisition methods in external optical compensation as claimed in claim 4, which is characterized in that the step S2
Using dimensional gaussian distribution function respectively to each pixel (P in first pattern (H)h) brightness data and the second pattern (B)
In each pixel (Pb) brightness data when being fitted, selection is influenced small brightness data by adjacent pixel, and data are fitted direction
Along longitudinal direction.
8. the brightness of image acquisition methods in external optical compensation as claimed in claim 5, which is characterized in that the step S2
Using dimensional gaussian distribution function respectively to each pixel (P in first pattern (H)h) brightness data and the second pattern (B)
In each pixel (Pb) brightness data when being fitted, selection is influenced small brightness data by adjacent pixel, and data are fitted direction
Transversely.
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