CN106205545A - Over-drive value table optimized treatment method and liquid crystal display - Google Patents
Over-drive value table optimized treatment method and liquid crystal display Download PDFInfo
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- CN106205545A CN106205545A CN201610852032.3A CN201610852032A CN106205545A CN 106205545 A CN106205545 A CN 106205545A CN 201610852032 A CN201610852032 A CN 201610852032A CN 106205545 A CN106205545 A CN 106205545A
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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
- 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
- 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
Abstract
The invention discloses a kind of over-drive value table optimized treatment method, including: over-drive value table is carried out subregion and obtains at least one first area, wherein, each first area comprises N number of over-drive value；Linear fit is carried out, it is thus achieved that the fitting coefficient that described each first area is corresponding in described each first area；Starting point over-drive value, terminal over-drive value and described fitting coefficient according to described each first area generates a compressible drive value table, and stores described compressible drive value table.Present invention also offers a kind of liquid crystal display.Compressed motivation value table, saves memory space, reduces cost；The over-drive value being contracted by is reduced by the starting point over-drive value of first area, terminal over-drive value and the fitting coefficient of storage in use, over-drive value after reduction is less with real over-drive value error, avoid producing image border pseudomorphism, accelerating liquid crystal response speed, the phenomenon stopping motion image blurring occurs.
Description
Technical field
The present invention relates to Display Technique field, especially relate to a kind of over-drive value table optimized treatment method and liquid crystal display
Equipment.
Background technology
Liquid crystal display has irreplaceable status in modem display devices, and it is widely used in Portable movable
The display device of electronic product, such as products such as mobile phone, digital camera, palm PC, GPRS, TVs.Maintenance type shows and responds
Speed is the reason that liquid crystal display produces correction of motion artefacts slowly, typically can use (Over Driving, OD) technology solution of overdriving
The certainly slow-footed problem of liquid crystal response.From previous GTG (Pre Gray) to target gray scale (Target Gray), use is overdrived
In the case of, the liquid crystal response time is shorter, and GTG of overdriving therein (OD Gray) is exactly our usually said overdriving
Value.Overdrive technique is to accelerate liquid crystal response speed, improves the important technology of image streaking problem, is also other several relevant skills
The basis of art.Overdrive technique has been obtained for numerous concern in recent years, and is widely applied in field of liquid crystal display.Cross
Motivation value is saved in time sequence driving circuit memory element with the form of over-drive value table, when the size of over-drive value table determines
The size of sequence circuit memory cell capacity, also has influence on the cost of time sequence driving circuit, the size of the most compressed motivation value table
And reduce error and be still a bigger technical problem.
In prior art, over-drive value table is tapered to 17*17 by 33*33 by most time sequence driving circuit, these
The over-drive value being contracted by can be reduced in use by the way of data linear interpolation, but the over-drive value of reduction is with true
Over-drive value error bigger, it is impossible to reaching anticipated effect of overdriving, over-drive value crosses senior general makes moving image edge produce
Bright, the most bilateral, i.e. produce edge artifacts；Over-drive value is too small, and the response time making liquid crystal is the shortest, causes moving image mould
Stick with paste.
Summary of the invention
The technical problem to be solved in the present invention is to provide a kind of over-drive value table compression and storage method and liquid crystal display,
The over-drive value reduced by the way of data linear interpolation during in order to solve and to use in prior art and real over-drive value
The problem that error is bigger.
For solving above-mentioned technical problem, on the one hand, the present invention provides a kind of over-drive value table optimized treatment method, including:
Over-drive value table is carried out subregion and obtains at least one first area, wherein, each first area comprises N number of mistake
Motivation value；
Linear fit is carried out, it is thus achieved that the fitting coefficient that described each first area is corresponding in described each first area；
Starting point over-drive value, terminal over-drive value and described fitting coefficient according to described each first area generates a pressure
Contracting motivation value table, and store described compressible drive value table；
Utilize the described starting point over-drive value of described each first area, described terminal over-drive value and described matching system
Number decompresses described over-drive value table and obtains N number of over-drive value of described each first area, thus the mistake after being decompressed is driven
Dynamic value table.
Further, described in described each first area, linear fit is carried out, it is thus achieved that the plan that each first area is corresponding
Syzygy number, including:
Obtain the N number of over-drive value comprised in described each first area；
Described N number of over-drive value is normalized, obtains N number of normalization over-drive value；
Obtain P experimental fit coefficient；
Each experimental fit coefficient in described P experimental fit coefficient is entered corresponding to described N number of normalization over-drive value
Row normalization extends, and respectively obtains the normalizing coefficient that one group of number is N corresponding to each experimental fit coefficient；
Calculate N number of normalizing that one group of normalizing coefficient corresponding to each experimental fit coefficient is corresponding with described first area respectively
Change over-drive value the most N number of difference, and calculate described N number of difference square；
Calculate described N number of difference square sum；
Choose described N number of difference square and minimum experimental fit coefficient as the matching system of corresponding first area
Number.
Further, described described N number of over-drive value is normalized, obtains N number of normalization over-drive value and include:
Set normalization over-drive value G of first area starting point1It is 0, normalization over-drive value G of first area terminalNFor
1, according to formula a=1/ (QN-Q1) calculate increment value a, and according to formula Zn=(Qn-Q1) * a calculates returning of nth point
One changes motivation value Gn, wherein, QNFor terminal over-drive value, QnFor the over-drive value of nth point, Q1The over-drive value of the 1st, and 0 < n
<N。
Further, described by each experimental fit coefficient in described P experimental fit coefficient corresponding to described N number of normalization
Over-drive value is normalized extension, respectively obtains the normalizing coefficient that one group of number is N corresponding to each experimental fit coefficient
Including:
For arbitrary experimental fit coefficient S, set the normalizing coefficient X of the 1st1It is 0, the normalizing coefficient X of N pointNIt is 1, with
And according to formula Xn=S* (Xn+x-Xn-x) calculate the normalizing coefficient X of nth pointn, wherein, Xn+xIt is the normalizing coefficient of the n-th+x point,
Xn-xIt is the normalizing coefficient of the n-th-x point, n < n+x < N, 0 < n-x < n.
Further, the described starting point over-drive value according to described each first area, terminal over-drive value and described matching
Coefficient generates a compressible drive value table, and stores described compressible drive value table, including:
Described fitting coefficient is multiplied by 255 and round obtain the fitting coefficient after a conversion；And
The fitting coefficient after starting point over-drive value, terminal over-drive value and described conversion according to described each first area
Generate described compressible drive value table, and store described compressible drive value table.
Further, the described starting point over-drive value of described each first area, described terminal over-drive value and institute are utilized
State the fitting coefficient described over-drive value table of decompression and obtain N number of over-drive value of described each first area, thus decompressed
After over-drive value table after, described method also includes:
The over-drive value that previous grey decision-making is corresponding with target gray scale value is inquired about according to the over-drive value table after described decompression.
On the other hand, the present invention also provides for a kind of liquid crystal display, including processor and memorizer, described processor bag
Include:
Zoning unit, obtains at least one first area, wherein, each firstth district for over-drive value table is carried out subregion
Territory comprises N number of over-drive value；
Computing unit, for carrying out linear fit, it is thus achieved that described each first area pair in described each first area
The fitting coefficient answered；
Storage control unit, for starting point over-drive value, terminal over-drive value and institute according to described each first area
State fitting coefficient and generate a compressible drive value table, and store described compressible drive value table.
Query unit, for utilizing the described starting point over-drive value of described each first area, described terminal over-drive value
And described fitting coefficient decompresses described over-drive value table and obtains N number of over-drive value of described each first area, thus obtain
Over-drive value table after decompression.
Further, described computing unit includes:
Over-drive value obtains subelement, for obtaining the N number of over-drive value comprised in described each first area；
Normalization computation subunit, for being normalized described N number of over-drive value, obtains N number of normalization
Motivation value；
Fitting coefficient obtains subelement, is used for obtaining P experimental fit coefficient；
Extension computation subunit, for corresponding to described N by each experimental fit coefficient in described P experimental fit coefficient
Individual normalization over-drive value is normalized extension, and respectively obtaining one group of number corresponding to each experimental fit coefficient is N's
Normalizing coefficient；And
Fitting coefficient computation subunit, for calculating one group of normalizing coefficient corresponding to each experimental fit coefficient and institute respectively
State the most N number of difference of N number of normalization over-drive value corresponding to first area, and calculate described N number of difference square,
And calculate described N number of difference square sum, then, choose described N number of difference square and minimum experimental fit system
Number is as the fitting coefficient of the first area of described correspondence.
Further, described fitting coefficient computation subunit is additionally operable to:
Described fitting coefficient is multiplied by 255 and round obtain the fitting coefficient after a conversion.
Further, described query unit is additionally operable to:
The over-drive value that previous grey decision-making is corresponding with target gray scale value is inquired about according to the over-drive value table after described decompression.
Beneficial effects of the present invention is as follows: the over-drive value gauge pressure of 33*33 or 65*65 shortens into the over-drive value of 17*17
Store after table, save memory space, reduce cost；The over-drive value being contracted by is in use by the first area of storage
Starting point over-drive value, terminal over-drive value and fitting coefficient reduction, the over-drive value after reduction is with real over-drive value by mistake
Difference is less, it is to avoid produce image border pseudomorphism, accelerates liquid crystal response speed, and the phenomenon stopping motion image blurring occurs.
Accompanying drawing explanation
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
In having technology to describe, the required accompanying drawing used is briefly described, it should be apparent that, the accompanying drawing in describing below is only this
Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, it is also possible to
Other obvious mode of texturing is obtained according to these accompanying drawings.
The schematic flow sheet of the over-drive value table compression and storage method that Fig. 1 provides for embodiments of the invention one.
Fig. 2 is that unpressed over-drive value represents intention.
Fig. 3 is normalization over-drive value schematic diagram.
Fig. 4 is normalizing coefficient schematic diagram.
Fig. 5 is square schematic diagram of difference.
Fig. 6 is each experimental fit coefficients comparison schematic diagram.
Fig. 7 is the contrast schematic diagram of the over-drive value after decompression and true over-drive value.
The schematic flow sheet of the over-drive value table compression and storage method that Fig. 8 provides for embodiments of the invention two.
The device schematic diagram of the liquid crystal display that Fig. 9 provides for embodiments of the invention.
The computing unit schematic diagram of the liquid crystal display that Figure 10 provides for embodiments of the invention.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Describe, it is clear that described embodiment is only a part of embodiment of the present invention rather than whole embodiments wholely.Based on
Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under not making creative work premise
Embodiment, broadly falls into the scope of protection of the invention.
The embodiment of the present invention provides a kind of over-drive value table compression and storage method and liquid crystal display, can save storage sky
Between.In implementing, the liquid crystal display described in the embodiment of the present invention may include but be not limited to: mobile phone, panel computer, pen
Remember the liquid crystal display such as this computer, TV.
See the flow process signal that Fig. 1, Fig. 1 are the over-drive value table compression and storage methods that embodiments of the invention one provide
Figure.Described over-drive value table compression and storage method can be performed by the hardware of floppy disk system control liquid crystal display.Such as Fig. 1 institute
Showing, described method can comprise the steps:
S101, obtains some first areas by over-drive value table subregion, and each first area includes N number of over-drive value.
Preferably, first area is to include being in N number of over-drive value that same a line is adjacent in motivation value table, further,
First area includes 5 the continuous print over-drive value being positioned at same a line.
S102, carries out linear fit in described each first area, it is thus achieved that the fitting coefficient of described each first area.
In the present embodiment, this step S102 includes:
Obtain the N number of over-drive value comprised in described each first area.
Described N number of over-drive value is normalized, obtains N number of normalization over-drive value；Concrete, set first
Normalization over-drive value G1 of region starting point (the 1st point) is 0, and normalization over-drive value GN of first area terminal (N point) is
1, calculate increment value a according to formula a=1/ (QN-Q1), and calculate nth point according to formula Zn=(Qn-Q1) * a
Normalization motivation value Gn, wherein, QN is terminal over-drive value, and Qn is the over-drive value of nth point, the over-drive value that Q1 is the 1st, and
0<n<N。。
Obtain P experimental fit coefficient.
Each experimental fit coefficient in described P experimental fit coefficient is entered corresponding to described N number of normalization over-drive value
Row normalization extends, and respectively obtains the normalizing coefficient that one group of number is N corresponding to each experimental fit coefficient；Concrete, right
In arbitrary experimental fit coefficient, setting the normalizing coefficient of the 1st as 0, the normalizing coefficient of N point is 1, and according to formula according to
The normalizing coefficient of nth point is equal to the difference of the normalizing coefficient of normalizing coefficient and the n-th-x point of the n-th+x point and current experiment matching system
The product of number, calculates the experimental fit data normalizing coefficient corresponding to each over-drive value of correspondence, wherein, Xn+xIt is the n-th+x
The normalizing coefficient of point, Xn-xIt is the normalizing coefficient of the n-th-x point, n < n+x < N, 0 < n-x < n.
Calculate N number of normalizing that one group of normalizing coefficient corresponding to each experimental fit coefficient is corresponding with described first area respectively
Change over-drive value the most N number of difference, and calculate described N number of difference square.
Calculate described N number of difference square sum.
Choose described N number of difference square and minimum experimental fit coefficient as the matching system of corresponding first area
Number.
Concrete, it is reduced to as a example by the method for over-drive value table of 17*17 by the over-drive value gauge pressure of 33*33, with previous ash
Rank value is 144, target gray scale value be 40 to 72 5 over-drive value be compressed as first area, and digital simulation coefficient,
Concrete grammar is as follows:
1, combining Fig. 2, obtain 5 over-drive value, the 1st is 11, and the 2nd is 14, and the 3rd is 19, and the 4th is the 28, the 5th
Point is 41.
2, combine Fig. 3, respectively each over-drive value is normalized, as it was previously stated, include: set first area and rise
Normalization over-drive value G1 of point is 0, and normalization over-drive value GN of first area terminal is 1, according to formula a=1/ (QN-
Q1) calculate increment value a, and calculate normalization motivation value Gn of nth point according to formula Zn=(Qn-Q1) * a, wherein,
QN is terminal over-drive value, and Qn is the over-drive value of nth point, the over-drive value that Q1 is the 1st, and 0 < n < N.Thus, in this enforcement
In example, setting the normalization over-drive value of the 1st as 0, the normalization over-drive value of the 5th is 1, and increment value a is falling of 41-11
Number, i.e. a=1/30=0.033333；The normalization over-drive value of the 2nd is (14-11) * a=0.1, the normalization of the 3rd
Motivation value is (19-11) * a=0.266667, and the normalization over-drive value of the 4th is (28-11) * a=0.566667.
3, between 0～1, with 0.01 as single order, 100 experimental fit coefficients are obtained.
4, Fig. 4 is combined, by each experimental fit coefficient in described 100 experimental fit coefficients corresponding to described 5 normalizings
Change over-drive value and be normalized extension, respectively obtain the normalizing coefficient that one group of number is 5, with experimental fit coefficient 0.33 be
Example:
1st normalizing coefficient is 0, and the 5th normalizing coefficient is 1, and the 3rd normalizing coefficient=1*0.33=0.33 returns for the 2nd
One coefficient=(0.33-0) * 0.33=0.1089, the 4th normalizing coefficient=(1-0.33) * 0.33+0.33=0.5511.
Other each experimental fit coefficients are normalized the method phase of extension corresponding to described 5 normalization over-drive value
With.That is, for arbitrary experimental fit coefficient, for arbitrary experimental fit coefficient S, the normalizing coefficient X of the 1st is set1It is 0, N
The normalizing coefficient X of pointNIt is 1, and according to formula Xn=S* (Xn+x-Xn-x) calculate the normalizing coefficient X of nth pointn, wherein, n < n+
X < N, 0 < n-x < n..Concrete, x is transformable value, such as, from 1 value being incremented by, as long as meeting with the normalizing coefficient of nth point be
Centrosymmetric 2 points, the normalizing coefficient of the i.e. n-th+x point and the n-th-x point is it is known that then can calculate the normalizing coefficient of nth point.
As before, having set the 1st normalizing coefficient is 0, the 5th normalizing coefficient is 1, it is clear that work as x=2, during n=3, and the 1st point
Normalizing coefficient and the 5th normalizing coefficient are 2 points of the normalizing coefficient symmetry with the 3rd, and the 1st normalizing coefficient and the 5th
Point normalizing coefficient is it is known that respectively 0 and 1, therefore, it can obtain according to formula above the normalizing coefficient of the 3rd.Equally,
After the normalizing coefficient of the 3rd is obtained, the normalizing coefficient of the 2nd will have two symmetries and known normalizing coefficient, i.e.
1st and the 3rd point, then can be according to formula Xn=S* (Xn+x-Xn-x) obtain the normalizing coefficient of the 2nd equally.
5, calculate respectively one group of normalizing coefficient that in described 100 experimental fit coefficients, each experimental fit coefficient is corresponding with
The most multiple differences of 5 normalization over-drive value that described first area is corresponding, and the plurality of difference square.
In conjunction with Fig. 5, as a example by experimental fit coefficient 0.33:
1st point, (0-0) ^2=0
2nd point, (0.1-0.1089) ^2=0.0000792
3rd point, (0.266667-0.33) ^2=0.004011
4th point, (0.566667-0.5511) ^2=0.000242
5th point, (1-1) ^2=0
6, calculate 5 described differences square sum.
As a example by experimental fit coefficient 0.33:
0+0.0000792+0.004011+0.000242+0=0.004332642
7, choose described 5 described differences square and the experimental fit coefficient of minimum as described fitting coefficient.
In conjunction with Fig. 6, calculate 5 normalization over-drive value corresponding to 100 experimental fit coefficients of comparison difference square
With, it is achieved 5 described differences of fitting coefficient 0.32 correspondence square and minimum, therefore choose 0.32 as described fitting coefficient.
S103, generates one according to starting point over-drive value, terminal over-drive value and the described fitting coefficient of each first area
Compressible drive value table, and store described compressible drive value table.
Wherein, when the starting point over-drive value of described first area, terminal over-drive value and described fitting coefficient are stored in
The memory element of sequence drive circuit.
In the present embodiment, store after the over-drive value gauge pressure of 33*33 or 65*65 is shortened into the over-drive value table of 17*17, joint
About memory space, reduces cost.
S104, utilizes the described starting point over-drive value of described each first area, described terminal over-drive value and described
Fitting coefficient decompresses described over-drive value table and obtains N number of over-drive value of described each first area, thus after being decompressed
Over-drive value table；And
The over-drive value that previous grey decision-making is corresponding with target gray scale value is inquired about according to the over-drive value table after described decompression.
Concrete, the over-drive value of nth point in decompression procedure according to formula Gn=(Gn+x-Gn-x)*S0+Gn-xObtain, its
In, S0For fitting coefficient.
Below with 11,41 and fitting coefficient 0.32 be to decompress as a example by final 5 over-drive value preserving data:
1st point=115, the 5th point=41 are known, are not required to decompression；
3rd point=(41-11) * 0.32+11=20.6
2nd point=(20.6-11) * 0.32+11=14.072
4th point=(41-20.6) * 0.32+20.6=27.128
Wherein, the actual value of 5 over-drive value is followed successively by 11,14,19,28,41.
In conjunction with Fig. 7, the over-drive value gauge pressure of 33*33 is shortened into the over-drive value table of 17*17, decreases the size of form,
Save memory space, the value roughly equal with the over-drive value in original form can have been obtained by decompression simultaneously, met and make
With requiring, reach roughly the same driving effect.
In the present embodiment, the over-drive value being contracted by is overdrived by the starting point of the first area of storage in use
Value, terminal over-drive value and fitting coefficient reduction, the over-drive value after reduction is less with real over-drive value error, it is to avoid
Producing image border pseudomorphism, accelerate liquid crystal response speed, the phenomenon stopping motion image blurring occurs.
See the flow process signal that Fig. 8, Fig. 8 are the over-drive value table compression and storage methods that embodiments of the invention two provide
Figure.Described over-drive value table compression and storage method can be performed by the hardware of floppy disk system control liquid crystal display.Such as Fig. 8 institute
Showing, described method can comprise the steps:
S201, obtains some first areas by over-drive value table subregion, and each first area includes N number of over-drive value.
Preferably, first area is to include being in N number of over-drive value that same a line is adjacent in motivation value table, further,
First area selects 5 over-drive value.
S202, carries out linear fit in described each first area, it is thus achieved that the fitting coefficient of described each first area.
In the present embodiment, for any one first area, this step S102 includes:
Obtain the N number of over-drive value comprised in first area.
Described N number of over-drive value is normalized, obtains N number of normalization over-drive value；Concrete, set described
The normalization over-drive value of first area starting point (the 1st point) is 0, and the normalization of described first area terminal (N point) is overdrived
Value is 1, calculates the inverse of difference of the over-drive value of N point and the over-drive value of the 1st as increment value a, according to nth point
Normalization motivation value is equal to the product of the over-drive value of the nth point difference with the over-drive value of the 1st and increment value a, calculates n-th
The normalization motivation value of point.
Obtain P experimental fit coefficient.
Each experimental fit coefficient in described P experimental fit coefficient is entered corresponding to described N number of normalization over-drive value
Row normalization extends, and respectively obtains the normalizing coefficient that one group of number is N corresponding to each experimental fit coefficient；Concrete, right
In arbitrary experimental fit coefficient, setting the normalizing coefficient of the 1st as 0, the normalizing coefficient of N point is 1, and according to nth point
The difference of normalizing coefficient that normalizing coefficient is put equal to normalizing coefficient and the n-th-x of the n-th+x point and taking advantage of of current experiment fitting coefficient
Long-pending, calculate the experimental fit data normalizing coefficient corresponding to each over-drive value of correspondence.
Calculate N number of normalizing that one group of normalizing coefficient corresponding to each experimental fit coefficient is corresponding with described first area respectively
Change over-drive value the most N number of difference, and calculate described N number of difference square.
Calculate described N number of difference square sum.
Choose described N number of difference square and minimum experimental fit coefficient as the matching system of described first area
Number.
S203, described fitting coefficient is multiplied by 255 and round changed after fitting coefficient.
In the present embodiment, the data that time sequence driving circuit can read are required for existing with integer form, therefore need described
Fitting coefficient is multiplied by 255 and round.
S204, generates one according to starting point over-drive value, terminal over-drive value and the described fitting coefficient of each first area
Compressible drive value table, and store described compressible drive value table.
Wherein, when the starting point over-drive value of described first area, terminal over-drive value and described fitting coefficient are stored in
The memory element of sequence drive circuit.
In present embodiment, store after the over-drive value gauge pressure of 33*33 or 65*65 is shortened into the over-drive value table of 17*17,
Save memory space, reduce cost.
S205, utilizes the described starting point over-drive value of described each first area, described terminal over-drive value and described
Fitting coefficient decompresses described over-drive value table and obtains N number of over-drive value of described each first area, thus after being decompressed
Over-drive value table；And
The over-drive value that previous grey decision-making is corresponding with target gray scale value is inquired about according to the over-drive value table after described decompression.
Concrete, the over-drive value of nth point in decompression procedure according to formula Gn=(Gn+x-Gn-x)*S0+Gn-xObtain, its
In, S0For fitting coefficient.
Below with 11,41 and fitting coefficient 0.32 be to decompress as a example by final 5 over-drive value preserving data:
1st point=115, the 5th point=41 are known, are not required to decompression；
3rd point=(41-11) * 0.32+11=20.6
2nd point=(20.6-11) * 0.32+11=14.072
4th point=(41-20.6) * 0.32+20.6=27.128
Wherein, the actual value of 5 over-drive value is followed successively by 11,14,19,28,41.
The over-drive value gauge pressure of 33*33 is shortened into the over-drive value table of 17*17, decreases the size of form, saved and deposited
Storage space, can obtain the value roughly equal with the over-drive value in original form by decompression simultaneously, meets and uses requirement, reaches
Arrive roughly the same driving effect.
In the present embodiment, the over-drive value being contracted by is overdrived by the starting point of the first area of storage in use
Value, terminal over-drive value and fitting coefficient reduction, the over-drive value after reduction is less with real over-drive value error, it is to avoid
Producing image border pseudomorphism, accelerate liquid crystal response speed, the phenomenon stopping motion image blurring occurs.
See the structural representation that Fig. 9, Fig. 9 are the liquid crystal displays 100 that the embodiment of the present invention provides.As it is shown in figure 9,
Described liquid crystal display 100 can include processor 1 and memorizer 2.Wherein, described processor 1 can be central processing unit, micro-control
Device processed, digital signal processor, single-chip microcomputer etc..In the present embodiment, described memorizer 2 is time schedule controller memorizer (TCON
memory)。
As shown in Figure 10, described processor 1 includes: zoning unit 301, computing unit 302, storage control unit 303 and
Query unit 304.
In certain embodiments, described zoning unit 301, computing unit 302, storage control unit 303 and query unit
304 is the programmed instruction that can be called execution by processor 1.In further embodiments, described zoning unit 301, computing unit
302, storage control unit 303 and query unit 304 are the circuit structure in processor 1.
Described zoning unit 301, obtains at least one first area, wherein, often for over-drive value table is carried out subregion
Individual first area comprises N number of over-drive value；
Described computing unit 302, for carrying out linear fit, it is thus achieved that described each first in described each first area
The fitting coefficient that region is corresponding；
Preferably, first area is in N number of over-drive value that same a line is adjacent in including motivation value table.
Described storage control unit 303, for overdriving according to starting point over-drive value, the terminal of described each first area
Value and described fitting coefficient generate a compressible drive value table, and store described compressible drive value table.
Described query unit 304, for utilizing the described starting point over-drive value of described each first area, described terminal mistake
Motivation value and described fitting coefficient decompress described over-drive value table and obtain N number of over-drive value of described each first area, from
And the over-drive value table after being decompressed；And
The over-drive value that previous grey decision-making is corresponding with target gray scale value is inquired about according to the over-drive value table after described decompression.
Concrete, over-drive value is the motivation value rising to the setting of target gray scale value speed in order to accelerate previous grey decision-making,
Previous grey decision-making directly improves grey decision-making with over-drive value for target can make previous grey decision-making reach target gray scale value faster.
In the present embodiment, computing unit 302 also includes that over-drive value obtains subelement 3021, normalization computation subunit
3022, fitting coefficient obtains subelement 3023, extension computation subunit 3024 and fitting coefficient computation subunit 3025, and each son is single
The concrete function of unit is as follows:
Over-drive value obtains subelement 3021, for obtaining the N number of over-drive value comprised in first area；
Normalization computation subunit 3022, for being normalized described N number of over-drive value, obtains N number of normalizing
Change over-drive value；
Fitting coefficient obtains subelement 3023, is used for obtaining P experimental fit coefficient；
Extension computation subunit 3024, for corresponding to each experimental fit coefficient in described P experimental fit coefficient
Described N number of normalization over-drive value is normalized extension, respectively obtains one group of number corresponding to each experimental fit coefficient
Normalizing coefficient for N；And
Fitting coefficient computation subunit 3025, for calculating one group of normalizing coefficient that each experimental fit coefficient is corresponding respectively
The most N number of difference of the N number of normalization over-drive value corresponding with described first area, and calculate described N number of difference
Square, and calculate described N number of difference square sum, then, choose described N number of difference square and minimum experiment intend
Syzygy number is as the fitting coefficient of described first area.
Concrete, it is reduced to as a example by the method for over-drive value table of 17*17 by the over-drive value gauge pressure of 33*33, with previous ash
Rank value is 144, target gray scale value be 40 to 72 5 over-drive value be compressed as first area, and digital simulation coefficient,
Concrete grammar is as follows:
Over-drive value obtains subelement 3021 and obtains 5 over-drive value, and the 1st is 11, and the 2nd is 14, and the 3rd is 19,
4th is 28, and the 5th is 41.
Each over-drive value is normalized by normalization computation subunit 3022 respectively, including: set first area
Normalization over-drive value G1 of starting point is 0, and normalization over-drive value GN of first area terminal is 1, according to formula a=1/ (QN-
Q1) calculate increment value a, and calculate normalization motivation value Gn of nth point according to formula Zn=(Qn-Q1) * a, wherein,
QN is terminal over-drive value, and Qn is the over-drive value of nth point, the over-drive value that Q1 is the 1st, and 0 < n < N.Thus, in this enforcement
In example, setting the normalization over-drive value of the 1st as 0, the normalization over-drive value of the 5th is 1, and increment value a is falling of 41-11
Number, i.e. a=1/30=0.033333；The normalization over-drive value of the 2nd is (14-11) * a=0.1, the normalization of the 3rd
Motivation value is (19-11) * a=0.266667, and the normalization over-drive value of the 4th is (28-11) * a=0.566667.
Fitting coefficient acquisition subelement 3023, between 0～1, with 0.01 as single order, obtains 100 experimental fit coefficients.
Each experimental fit coefficient in described 100 experimental fit coefficients is corresponded to described by extension computation subunit 3024
5 normalization over-drive value are normalized extension, respectively obtain the normalizing coefficient that one group of number is 5, with experimental fit coefficient
As a example by 0.33:
1st normalizing coefficient is 0, and the 5th normalizing coefficient is 1, and the 3rd normalizing coefficient=1*0.33=0.33 returns for the 2nd
One coefficient=(0.33-0) * 0.33=0.1089, the 4th normalizing coefficient=(1-0.33) * 0.33+0.33=0.5511.
Other each experimental fit coefficients are normalized the method phase of extension corresponding to described 5 normalization over-drive value
With.That is, for arbitrary experimental fit coefficient, for arbitrary experimental fit coefficient S, the normalizing coefficient X of the 1st is set1It is 0, N
The normalizing coefficient X of pointNIt is 1, and according to formula Xn=S* (Xn+x-Xn-x) calculate the normalizing coefficient X of nth pointn, wherein, n < n+
X < N, 0 < n-x < n..Concrete, x is transformable value, such as, from 1 value being incremented by, as long as meeting with the normalizing coefficient of nth point be
Centrosymmetric 2 points, the normalizing coefficient of the i.e. n-th+x point and the n-th-x point is it is known that then can calculate the normalizing coefficient of nth point.
As before, having set the 1st normalizing coefficient is 0, the 5th normalizing coefficient is 1, it is clear that work as x=2, during n=3, and the 1st point
Normalizing coefficient and the 5th normalizing coefficient are 2 points of the normalizing coefficient symmetry with the 3rd, and the 1st normalizing coefficient and the 5th
Point normalizing coefficient is it is known that respectively 0 and 1, therefore, it can obtain according to formula above the normalizing coefficient of the 3rd.Equally,
After the normalizing coefficient of the 3rd is obtained, the normalizing coefficient of the 2nd will have two symmetries and known normalizing coefficient, i.e.
1st and the 3rd point, then can be according to formula Xn=S* (Xn+x-Xn-x) obtain the normalizing coefficient of the 2nd equally.
Fitting coefficient computation subunit 3025 calculates each experimental fit coefficient in described 100 experimental fit coefficients respectively
The most multiple differences of 5 normalization over-drive value that one group of corresponding normalizing coefficient is corresponding with described first area,
And the plurality of difference square.
As a example by experimental fit coefficient 0.33:
1st point, (0-0) ^2=0
2nd point, (0.1-0.1089) ^2=0.0000792
3rd point, (0.266667-0.33) ^2=0.004011
4th point, (0.566667-0.5511) ^2=0.000242
5th point, (1-1) ^2=0
Calculate 5 described differences square sum.
As a example by experimental fit coefficient 0.33:
0+0.0000792+0.004011+0.000242+0=0.004332642
Choose described 5 described differences square and minimum experimental fit coefficient as described fitting coefficient.
Calculate 5 normalization over-drive value corresponding to 100 experimental fit coefficients of comparison difference square sum, it is achieved plan
5 described differences of syzygy number 0.32 correspondence square and minimum, therefore choose 0.32 as described fitting coefficient.
Fitting coefficient computation subunit 3025 be additionally operable to be multiplied by described fitting coefficient 255 and round obtain one
Fitting coefficient after conversion.
In the present embodiment, the function of query unit 304 is with 11,41 and fitting coefficient 0.32 be final to preserve the 5 of data
Individual over-drive value decompresses:
1st point=115, the 5th point=41 are known, are not required to decompression；
3rd point=(41-11) * 0.32+11=20.6
2nd point=(20.6-11) * 0.32+11=14.072
4th point=(41-20.6) * 0.32+20.6=27.128
Wherein, the actual value of 5 over-drive value is followed successively by 11,14,19,28,41.
Store after the over-drive value gauge pressure of 33*33 or 65*65 is shortened into the over-drive value table of 17*17, save memory space,
Reduce cost；The over-drive value being contracted by is crossed driven by the starting point over-drive value of first area, the terminal of storage in use
Dynamic value and fitting coefficient S0With formula Gn=(Gn+x-Gn-x)*S0+Gn-xObtain.Over-drive value after reduction is driven with real mistake
Dynamic value error is less, it is to avoid producing image border pseudomorphism, accelerate liquid crystal response speed, the phenomenon stopping motion image blurring is sent out
Raw.
Above disclosed it is only several preferred embodiment of the present invention, certainly can not limit the power of the present invention with this
Profit scope, one of ordinary skill in the art will appreciate that all or part of flow process realizing above-described embodiment, and weighs according to the present invention
Profit requires the equivalent variations made, and still falls within the scope that invention is contained.
Claims (10)
1. an over-drive value table optimized treatment method, it is characterised in that including:
Over-drive value table is carried out subregion and obtains at least one first area, wherein, each first area comprises N number of overdriving
Value；
Linear fit is carried out, it is thus achieved that the fitting coefficient that described each first area is corresponding in described each first area；
Starting point over-drive value, terminal over-drive value and described fitting coefficient according to described each first area generates a compression and drives
Dynamic value table, and store described compressible drive value table；
Utilize the described starting point over-drive value of described each first area, described terminal over-drive value and described fitting coefficient solution
Described over-drive value table is pressed to obtain N number of over-drive value of described each first area, thus the over-drive value after being decompressed
Table.
Over-drive value table optimized treatment method the most according to claim 1, it is characterised in that described described each first
Region carries out linear fit, it is thus achieved that the fitting coefficient that each first area is corresponding, including:
Obtain the N number of over-drive value comprised in described each first area；
Described N number of over-drive value is normalized, obtains N number of normalization over-drive value；
Obtain P experimental fit coefficient；
Each experimental fit coefficient in described P experimental fit coefficient is returned corresponding to described N number of normalization over-drive value
One changes extension, respectively obtains the normalizing coefficient that one group of number is N corresponding to each experimental fit coefficient；
Calculate N number of normalization that one group of normalizing coefficient corresponding to each experimental fit coefficient is corresponding with described first area respectively
The most N number of difference of motivation value, and calculate described N number of difference square；
Calculate described N number of difference square sum；
Choose described N number of difference square and minimum experimental fit coefficient as the fitting coefficient of corresponding first area.
Over-drive value table optimized treatment method the most according to claim 2, it is characterised in that described described N number of mistake is driven
Dynamic value is normalized, and obtains N number of normalization over-drive value and includes:
Set normalization over-drive value G of first area starting point1It is 0, normalization over-drive value G of first area terminalNIt is 1, root
According to formula a=1/ (QN-Q1) calculate increment value a, and according to formula Zn=(Qn-Q1) * a calculates the normalization of nth point
Motivation value Gn, wherein, QNFor terminal over-drive value, QnFor the over-drive value of nth point, Q1The over-drive value of the 1st, and 0 < n < N.
Over-drive value table optimized treatment method the most according to claim 3, it is characterised in that described by described P experiment
In fitting coefficient, each experimental fit coefficient is normalized extension corresponding to described N number of normalization over-drive value, respectively obtains
The normalizing coefficient that one group of number is N corresponding to each experimental fit coefficient includes:
For arbitrary experimental fit coefficient S, set the normalizing coefficient X of the 1st1It is 0, the normalizing coefficient X of N pointNIt is 1, Yi Jigen
According to formula Xn=S* (Xn+x-Xn-x) calculate the normalizing coefficient X of nth pointn, wherein, Xn+xIt is the normalizing coefficient of the n-th+x point, Xn-xFor
The normalizing coefficient of the n-th-x point, n < n+x < N, 0 < n-x < n.
Over-drive value table optimized treatment method the most according to claim 1, it is characterised in that described according to described each
The starting point over-drive value in one region, terminal over-drive value and described fitting coefficient generate a compressible drive value table, and store described
Compressible drive value table, including:
Described fitting coefficient is multiplied by 255 and round obtain the fitting coefficient after a conversion；And
Fitting coefficient after starting point over-drive value, terminal over-drive value and described conversion according to described each first area generates
Described compressible drive value table, and store described compressible drive value table.
Over-drive value table optimized treatment method the most according to claim 1, it is characterised in that described utilize described each
The described starting point over-drive value in one region, described terminal over-drive value and described fitting coefficient decompress described over-drive value table and obtain
To N number of over-drive value of described each first area, thus after the over-drive value table after being decompressed, described method is also wrapped
Include:
The over-drive value that previous grey decision-making is corresponding with target gray scale value is inquired about according to the over-drive value table after described decompression.
7. a liquid crystal display, it is characterised in that include that processor and memorizer, described processor include:
Zoning unit, obtains at least one first area, wherein, in each first area for over-drive value table is carried out subregion
Comprise N number of over-drive value；
Computing unit, for carrying out linear fit, it is thus achieved that described each first area is corresponding in described each first area
Fitting coefficient；
Storage control unit, for starting point over-drive value, terminal over-drive value and described plan according to described each first area
Syzygy number generates a compressible drive value table, and stores described compressible drive value table；
Query unit, for utilize the described starting point over-drive value of described each first area, described terminal over-drive value and
Described fitting coefficient decompresses described over-drive value table and obtains N number of over-drive value of described each first area, thus is decompressed
Over-drive value table after contracting.
Liquid crystal display the most according to claim 7, it is characterised in that described computing unit includes:
Over-drive value obtains subelement, for obtaining the N number of over-drive value comprised in described each first area；
Normalization computation subunit, for being normalized described N number of over-drive value, obtains N number of normalization and overdrives
Value；
Fitting coefficient obtains subelement, is used for obtaining P experimental fit coefficient；
Extension computation subunit, for corresponding to described N number of return by each experimental fit coefficient in described P experimental fit coefficient
One changes over-drive value is normalized extension, and respectively obtaining one group of number corresponding to each experimental fit coefficient is the normalizing of N
Coefficient；And
Fitting coefficient computation subunit, for calculating one group of normalizing coefficient corresponding to each experimental fit coefficient and described the respectively
The most N number of difference of N number of normalization over-drive value that one region is corresponding, and calculate described N number of difference square, and
Calculate described N number of difference square sum, then, choose described N number of difference square and minimum experimental fit coefficient make
Fitting coefficient for the first area of described correspondence.
Liquid crystal display the most according to claim 8, it is characterised in that described fitting coefficient computation subunit is also used
In:
Described fitting coefficient is multiplied by 255 and round obtain the fitting coefficient after a conversion.
Liquid crystal display the most according to claim 7, it is characterised in that described query unit is additionally operable to:
The over-drive value that previous grey decision-making is corresponding with target gray scale value is inquired about according to the over-drive value table after described decompression.
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