CN101119497A - Image processing apparatus and method thereof - Google Patents

Image processing apparatus and method thereof Download PDF

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Publication number
CN101119497A
CN101119497A CNA2006101009719A CN200610100971A CN101119497A CN 101119497 A CN101119497 A CN 101119497A CN A2006101009719 A CNA2006101009719 A CN A2006101009719A CN 200610100971 A CN200610100971 A CN 200610100971A CN 101119497 A CN101119497 A CN 101119497A
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panel
comparisons
colo
bias
gray value
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CNA2006101009719A
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Chinese (zh)
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许永升
黄钰雯
李信宏
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Quanta Computer Inc
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Quanta Computer Inc
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Abstract

The present invention discloses an image processing device which can be used in a two-dimensional display to adjust the grayscale value of the image signal. The image processing device comprises a memory cell and a processing unit. The memory cell stores the storing panel characteristic comparison table. The processing unit receives the image signal and adjusts the grayscale value of the image signal according to the panel characteristic comparison table to output the adjusted image signal in accordance with the panel characteristic of the two-dimensional display.

Description

Image processing apparatus and method thereof
Technical field
The present invention particularly can improve the image processing apparatus and the method thereof of the chromaticity of picture signal simultaneously at brightness, colour temperature and colo(u)r bias about a kind of about a kind of image processing apparatus and method thereof.
Background technology
Flat-panel screens (Flat panel display) is the main trend of following display, and wherein (Liquid crystal display LCD) is gazed at most with LCD again.Because LCD has advantages such as thin thickness, in light weight, low radiation, low power consumption, definition height and high brightness, and its range of application contains PC, commercial billboard and family's theater etc., the widest flat-panel screens of the range of application of can saying so.
Traditional LCD module is when the display white picture, and the phenomenon that always has inclined to one side indigo plant takes place.With the angle of color science, it is higher that this phenomenon is called colour temperature (Color temperature).When the luminosity ratio of LCD module three primary colors (Fundamental color) and correct brightness ratio not simultaneously, can influence the correctness that picture color shows.At this moment, picture also might demonstrate the visible colo(u)r bias of human eye (Colordeviation).For example, blue sky might be green partially, and white clouds might be yellow partially.Therefore, there are many prior arts constantly to develop some methods of adjustment, revising the problem of colour temperature and colo(u)r bias, as No. the 6th, 911,785, United States Patent (USP) notification number.
Yet after the performance adjustment correction with gray scale, brightness also can depart from predetermined originally relation with the performance of gray scale when colour temperature and colo(u)r bias.In other words, though colour temperature and colo(u)r bias improve with the performance of gray scale, brightness can variation with the performance of gray scale.
Therefore, main category of the present invention is to provide a kind of image processing apparatus and method thereof, can improve the chromaticity of picture signal simultaneously at brightness, colour temperature and colo(u)r bias.
Summary of the invention
A category of the present invention is to provide a kind of image processing apparatus and method thereof, can improve the chromaticity of picture signal, and can reduce expending of hardware resource simultaneously at brightness, colour temperature and colo(u)r bias.
According to a preferred embodiment, image processing method of the present invention be used to flat-panel screens (Flatdisplay panel, FDP) in, adjust the gray value (Graylevel) of picture signal (Image signal).Image processing method of the present invention comprises the following step: (a) the storage panel characteristics table of comparisons, and wherein, the panel characteristics table of comparisons is according to the foundation in advance with the colo(u)r bias routine analyzer of brightness routine analyzer, standard gamma routine analyzer and colour temperature; (b) receive picture signal, and, adjust the gray value of picture signal, meet picture signal after the adjustment of panel characteristics of flat-panel screens with output according to the panel characteristics table of comparisons.
In addition, the present invention also provides image processing apparatus, is used in the flat-panel screens, adjusts the gray value of picture signal.Image processing apparatus comprises memory cell (Memory unit) and processing unit (Processing unit).Memory cell is in order to the storage panel characteristics table of comparisons.Processing unit is in order to receiving picture signal, and according to the panel characteristics table of comparisons, adjusts the gray value of picture signal, meets picture signal after the adjustment of panel characteristics of flat-panel screens with output.
As mentioned above, the present invention only utilizes the panel characteristics table of comparisons, the gray value of picture signal can be adjusted into the panel characteristics (as brightness, colour temperature and colo(u)r bias) that meets flat-panel screens.Because the panel characteristics table of comparisons is according to brightness routine analyzer, standard gamma routine analyzer and colour temperature and colo(u)r bias routine analyzer and foundation in advance, therefore do not need in flat-panel screens, to be provided with brightness (gamma) adjusting device or colour temperature/colo(u)r bias adjusting device, can further reduce expending of hardware resource.
Can be further understood by the following detailed description and accompanying drawings about the advantages and spirit of the present invention.
Description of drawings
Fig. 1 represents the functional block diagram of the flat-panel screens of one preferred embodiment according to the present invention.
Fig. 2 represents the schematic diagram of standard gamma 2.2 curves.
Fig. 3 is the flow chart of colour temperature and colo(u)r bias routine analyzer.
Fig. 4 utilizes the colour temperature of Fig. 3 and the schematic diagram of the yield value table of comparisons that the colo(u)r bias routine analyzer is set up.
Fig. 5 is the flow chart of brightness routine analyzer.
Fig. 6 is the schematic diagram that utilizes the linear table of comparisons of gray scale that the brightness routine analyzer of Fig. 5 set up.
Fig. 7 is the schematic diagram of the panel characteristics table of comparisons among Fig. 1.
The main element symbol description
1: flat-panel screens 10: image processing apparatus
100: memory cell 1000: the panel characteristics table of comparisons
102: processing unit 104: the error diffusion unit
12: panel 2,2 ': picture signal
GainTable: yield value table of comparisons GrayTable: the linear table of comparisons of gray scale
S100-S112, S200-S204: process step
Embodiment
See also Fig. 1, Fig. 1 represents the functional block diagram of the flat-panel screens 1 of one preferred embodiment according to the present invention.(Flat display panel, FDP) 1 comprises image processing apparatus (Image processing apparatus) 10 and panel (Panel) 12 to flat-panel screens.Image processing apparatus 10 is used in the flat-panel screens 1, adjust the gray value (Gray level) of picture signal (Image signal) 2, cause and adjust back picture signal 2 ' the meet panel characteristics (as brightness/gamma characteristic, colour temperature and colo(u)r bias) of panel 12.
As shown in Figure 1, image processing apparatus 10 comprises memory cell (Memory unit) 100 and processing unit (Processing unit) 102.Memory cell 100 is in order to the storage panel characteristics table of comparisons 1000, and wherein, the panel characteristics table of comparisons 1000 is according to the foundation in advance with the colo(u)r bias routine analyzer of brightness routine analyzer, standard gamma routine analyzer and colour temperature.Processing unit 102 is in order to receiving picture signal 2, and according to the panel characteristics table of comparisons 1000 that is stored in the memory cell 100, adjusts the gray value of picture signal 2, meet with output picture signal 2 after the adjustment of panel characteristics of panel 12 '.
Be noted that, owing to after the panel characteristics table of comparisons 1000 sets up in advance, be stored in memory cell 100 again, for adjustment picture signal 2.In other words, flat-panel screens 1 only need be stored the panel characteristics table of comparisons 1000, just can easily picture signal 2 be adjusted into the panel characteristics that meets panel 12.Whereby, can reduce expending of hardware resource.
Below will illustrate brightness routine analyzer, standard gamma routine analyzer and colour temperature and colo(u)r bias routine analyzer earlier.
Standard gamma routine analyzer:
See also Fig. 2, Fig. 2 represents the schematic diagram of standard gamma 2.2 curves.Standard gamma routine analyzer is set up standard gamma relational expression in order to according to standard gamma curve, as following formula 1.
Formula 1: y = ( x 255 ) δ .
In formula 1, x represents arbitrary gray value, and y represents corresponding output valve, and δ represents the gamma characteristic.For example, if the gamma characteristic of panel 12 is gamma 2.2, and output valve y represents that with 16 (Bit) then formula 1 can further be expressed as following formula 2.
Formula 2: y 1 = 65535 * ( x 1 255 ) 2.2 .
In addition, if picture signal after gamma 2.2 conversions, needs to change (as following formula 3) through gamma 0.45 again, picture signal just can be linear.
Formula 3: y 2 = 4095 * ( x 2 65535 ) 0.45 .
In above-mentioned formula 3, x 2With 16 bit representations, and y 2With 12 bit representations.
Colour temperature and colo(u)r bias routine analyzer:
See also Fig. 3 and Fig. 4, Fig. 3 is the flow chart of colour temperature and colo(u)r bias routine analyzer.Fig. 4 utilizes the colour temperature of Fig. 3 and the schematic diagram of the yield value table of comparisons GainTable that the colo(u)r bias routine analyzer is set up.At first, in step S100, (RGB) determines a base color from three primary colors.Then, in step S102, adjust the gray value of base color.Then, in step S104, adjust the gray value of other colors in the three primary colors.Then, in step S106, the output colour temperature and the colo(u)r bias of the panel 12 of measurement plane display 1.Then,, judge whether output colour temperature and colo(u)r bias meet a desired value in step S108, if, then carry out step S110, if not, then get back to step S104.For example, the target colour temperature can be 9300K, and the aim colour deviation levels off to zero, but not as limit.Then, in step S110, according to the gray value of base color and the gray value of other colors, the yield value of the gray value of corresponding each other color of decision.At last,, repeat step S102 to S110, to set up yield value table of comparisons GainTable, as shown in Figure 4 in step S112.
As for detailed process how to set up yield value table of comparisons GainTable, can consult United States Patent (USP) and announce the 6th, 911, No. 785 specifications do not repeat them here.
The brightness routine analyzer:
See also Fig. 5 and Fig. 6, Fig. 5 is the flow chart of brightness routine analyzer.Fig. 6 is the schematic diagram that utilizes the linear table of comparisons GrayTable of gray scale that the brightness routine analyzer of Fig. 5 set up.At first, in step S200, the panel 12 of measurement plane display 1 is in the display brightness of a plurality of gray scales (as the 0-255 gray scale).Then, in step S202, with the display brightness normalization that measures.At last,, each normalization display brightness and standard gamma curve (as the standard gamma2.2 curve among Fig. 2) are compared, to set up the linear table of comparisons GrayTable of gray scale, as shown in Figure 6 in step S204.
The linear table of comparisons GrayTable of gray scale as shown in Figure 6, if R input gray level value is 3, then the R output valve should be 4, could satisfy the gamma characteristic of panel 12; If G input gray level value is 4, then the G output valve should be 5, could satisfy the gamma characteristic of panel 12, by that analogy.
Below will illustrate the process of setting up of the panel characteristics table of comparisons 1000.
Please consult Fig. 1 and Fig. 7 again, Fig. 7 is the schematic diagram of the panel characteristics table of comparisons 1000 among Fig. 1.For example, if the gray value of R is input as 100, then according to the panel characteristics table of comparisons 1000, the gray value of adjusted R is 1507 (with 12 bit representations).Adjustment process is as follows:
(1) according to standard gamma routine analyzer, with x 1=100 substitution formula 2, then y 1=8358.
(2) according to colour temperature and colo(u)r bias routine analyzer, utilize (8358/256)=33 to look into yield value table of comparisons GainTable (as shown in Figure 4), then the R yield value is 0.85.Then, multiply by 0.85 with 8358 again, obtain 7104 (8358*0.85=7104).
(3) according to the brightness routine analyzer, look into the linear table of comparisons GrayTable (as shown in Figure 6) of gray scale, 7104 between 6912 (27*256) and 7168 (28*256).Then, calculate R output valve with interpolation method again corresponding to 7104.Suppose that at this R output valve corresponding to 7104 is 7111.
(4) according to standard gamma routine analyzer, with x 2=7111 substitution formula 3, then y 2=1507.Whereby, can obtain adjusting back picture signal 2 ' the gray value of R be 1507 (with 12 bit representations).
(5) last, again input gray level value (100) and adjusted gray value (1507) are recorded in the panel characteristics table of comparisons 1000.
According to above-mentioned adjustment process, calculate the corresponding adjusted value (RGB) of corresponding each input gray level value (0-255) respectively, can finish the panel characteristics table of comparisons 1000.
After, again the panel characteristics table of comparisons 1000 is stored in the image processing apparatus 10 in the flat-panel screens 1.Whereby, when the R gray value of a pixel of picture signal 2 is 100, the processing unit 102 of image processing apparatus 10 just can be according to the panel characteristics table of comparisons 1000, output R gray value be picture signal 2 after 1507 the adjustment '.
In addition, please consult Fig. 1 again, image processing apparatus 10 comprises error diffusion unit (Errordiffusion unit) 104 in addition, carries out the error diffusion processing in order to will adjust the back picture signal.The error diffusion principle is that the people of prior art can reach easily, does not repeat them here.
Compared to prior art, the present invention only utilizes the panel characteristics table of comparisons, the gray value of picture signal can be adjusted into the panel characteristics (as brightness/gamma characteristic, colour temperature and colo(u)r bias) that meets flat-panel screens.Because the panel characteristics table of comparisons is according to brightness routine analyzer, standard gamma routine analyzer and colour temperature and colo(u)r bias routine analyzer and foundation in advance, therefore do not need in flat-panel screens, to be provided with brightness (gamma) adjusting device or colour temperature/colo(u)r bias adjusting device, can further reduce expending of hardware resource.
By the above detailed description of preferred embodiments, hope can be known description feature of the present invention and spirit more, and is not to come category of the present invention is limited with above-mentioned disclosed preferred embodiment.On the contrary, its objective is that hope can contain in the category that is arranged in claim of the present invention of various changes and tool equivalence.Therefore, the category of the claim scope that the present invention applied for should be done the broadest explanation according to above-mentioned explanation, contains the arrangement of all possible change and tool equivalence to cause it.

Claims (12)

1. an image processing method is used to adjust the gray value of a picture signal in the flat-panel screens, and this method comprises the following step:
Store a panel characteristic table of comparisons, this panel characteristics table of comparisons is set up in advance according to a brightness routine analyzer, a standard gamma routine analyzer and a colour temperature and colo(u)r bias routine analyzer; And
Receive this picture signal, and, adjust the gray value of this picture signal, meet an adjustment back picture signal of the panel characteristics of this flat-panel screens with output according to this panel characteristics table of comparisons.
2. the method for claim 1, wherein the panel characteristics of this flat-panel screens comprises colour temperature, colo(u)r bias and/or gamma characteristic.
3. the method for claim 1, wherein this brightness routine analyzer comprises the following step:
Measure the display brightness of this flat-panel screens in a plurality of gray scales;
With these a plurality of display brightness normalization that measure; And
Should a plurality of normalization display brightness and a standard gamma curve compare, to set up the linear table of comparisons of a gray scale.
4. the method for claim 1, wherein this standard gamma routine analyzer comprises the following step:
According to a standard gamma curve, set up a standard gamma relational expression.
5. the method for claim 1, wherein this colour temperature and colo(u)r bias routine analyzer comprise the following step:
(a) determine a base color;
(b) adjust the gray value of this base color;
(c) adjust the gray value of other colors;
(d) measure the output colour temperature and the colo(u)r bias of this flat-panel screens;
(e) judge this output colour temperature and colo(u)r bias, whether meet a desired value, if, then carry out step (f), if not, then get back to step (c);
(f) according to the gray value of this base color and the gray value of these a plurality of other colors, a yield value of the gray value of corresponding each these a plurality of other color of decision; And
(g) repeat step (b) to (f), to set up a yield value table of comparisons.
6. the method for claim 1 further comprises the following step:
Should adjust the back picture signal and carry out the error diffusion processing.
7. an image processing apparatus is used to adjust the gray value of a picture signal in the flat-panel screens, and this device comprises:
One memory cell, in order to storing a panel characteristic table of comparisons, this panel characteristics table of comparisons is set up in advance according to a brightness routine analyzer, a standard gamma routine analyzer and a colour temperature and colo(u)r bias routine analyzer; And
One processing unit in order to receiving this picture signal, and according to this panel characteristics table of comparisons, is adjusted the gray value of this picture signal, meet with output this flat-panel screens panel characteristics one adjust the back picture signal.
8. device as claimed in claim 7, wherein the panel characteristics of this flat-panel screens comprises colour temperature, colo(u)r bias and/or gamma characteristic.
9. device as claimed in claim 7, wherein this brightness routine analyzer is in order to measure the display brightness of this flat-panel screens in a plurality of gray scales, with these a plurality of display brightness normalization that measure, and should a plurality of normalization display brightness and a standard gamma curve compare, to set up the linear table of comparisons of a gray scale.
10. device as claimed in claim 7, wherein this standard gamma routine analyzer is set up a standard gamma relational expression in order to according to a standard gamma curve.
11. device as claimed in claim 7, wherein this colour temperature and colo(u)r bias routine analyzer are set up a yield value table of comparisons in order to according to the following step:
(a) determine a base color;
(b) adjust the gray value of this base color;
(c) adjust the gray value of other colors;
(d) measure the output colour temperature and the colo(u)r bias of this flat-panel screens;
(e) judge this output colour temperature and colo(u)r bias, whether meet a desired value, if, then carry out step (f), if not, then get back to step (c);
(f) according to the gray value of this base color and the gray value of these a plurality of other colors, a yield value of the gray value of corresponding each these a plurality of other color of decision; And
(g) repeat step (b) to (f), to set up this yield value table of comparisons.
12. device as claimed in claim 7, further comprise an error diffusion unit (, carried out error diffusion and handled in order to should adjust the back picture signal.
CNA2006101009719A 2006-08-04 2006-08-04 Image processing apparatus and method thereof Pending CN101119497A (en)

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Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102237052A (en) * 2010-04-23 2011-11-09 北京京东方光电科技有限公司 Liquid crystal display (LCD) driving circuit and driving method
CN101551975B (en) * 2008-04-02 2012-10-31 达方电子股份有限公司 Digital controller, display module control system and control method thereof
CN103885218A (en) * 2014-03-13 2014-06-25 京东方科技集团股份有限公司 Detection method and device for substrate
CN106030503A (en) * 2014-02-25 2016-10-12 苹果公司 Adaptive video processing
CN106409212A (en) * 2016-12-12 2017-02-15 深圳Tcl数字技术有限公司 Gamma curve adjustment method and device
CN106409251A (en) * 2016-09-06 2017-02-15 武汉华星光电技术有限公司 Display panel brightness and chroma adjustment and calculation method and system

Cited By (18)

* Cited by examiner, † Cited by third party
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CN101551975B (en) * 2008-04-02 2012-10-31 达方电子股份有限公司 Digital controller, display module control system and control method thereof
CN102237052B (en) * 2010-04-23 2013-05-01 北京京东方光电科技有限公司 Liquid crystal display (LCD) driving circuit and driving method
CN102237052A (en) * 2010-04-23 2011-11-09 北京京东方光电科技有限公司 Liquid crystal display (LCD) driving circuit and driving method
CN111526350A (en) * 2014-02-25 2020-08-11 苹果公司 Adaptive video processing
US11445202B2 (en) 2014-02-25 2022-09-13 Apple Inc. Adaptive transfer function for video encoding and decoding
CN106030503A (en) * 2014-02-25 2016-10-12 苹果公司 Adaptive video processing
CN111526350B (en) * 2014-02-25 2022-04-05 苹果公司 Adaptive video processing
US10986345B2 (en) 2014-02-25 2021-04-20 Apple Inc. Backward-compatible video capture and distribution
US10880549B2 (en) 2014-02-25 2020-12-29 Apple Inc. Server-side adaptive video processing
US10812801B2 (en) 2014-02-25 2020-10-20 Apple Inc. Adaptive transfer function for video encoding and decoding
CN106030503B (en) * 2014-02-25 2020-04-17 苹果公司 Adaptive video processing
CN103885218B (en) * 2014-03-13 2016-04-06 京东方科技集团股份有限公司 A kind of detection method of substrate and pick-up unit
CN103885218A (en) * 2014-03-13 2014-06-25 京东方科技集团股份有限公司 Detection method and device for substrate
US10339849B2 (en) 2016-09-06 2019-07-02 Wuhan China Star Optoelectronics Technology Co., Ltd Method and system for regulating brightness and chromaticity of display panel
WO2018045676A1 (en) * 2016-09-06 2018-03-15 武汉华星光电技术有限公司 Method and system for adjusting and calculating brightness and chrominance of display panel
CN106409251A (en) * 2016-09-06 2017-02-15 武汉华星光电技术有限公司 Display panel brightness and chroma adjustment and calculation method and system
CN106409212B (en) * 2016-12-12 2021-03-12 深圳Tcl数字技术有限公司 Gamma curve adjusting method and device
CN106409212A (en) * 2016-12-12 2017-02-15 深圳Tcl数字技术有限公司 Gamma curve adjustment method and device

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