CN101826282B - Liquid crystal display device and processing method of digital image signal - Google Patents

Liquid crystal display device and processing method of digital image signal Download PDF

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CN101826282B
CN101826282B CN201010152603.5A CN201010152603A CN101826282B CN 101826282 B CN101826282 B CN 101826282B CN 201010152603 A CN201010152603 A CN 201010152603A CN 101826282 B CN101826282 B CN 101826282B
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liquid crystal
signal
image
value
module
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CN101826282A (en
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杨雷
邵寅亮
翟波澜
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Guangzhou Geffen Electronic Technology Co ltd
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Shenzhen Zhongqing Micro Technology Development Co Ltd
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Abstract

The invention discloses a liquid crystal display device, which comprises a liquid crystal driver module, a backlight driver module, a liquid crystal panel and LED backlight, and is characterized in that the liquid crystal device also comprises an image signal receiver module, an image cache module, an image analysis module, a backlight brightness calculation module and a liquid crystal grayscale calculation module. The invention also discloses a processing method of the digital image signal. The invention adopts an entire screen backlight adjustment method with a liquid crystal grayscale compensation method to enable the backlight brightness to change according to the contents of the images, so that the power consumption can be reduced, the display contrast can be improved, and the effect of the display pictures can be ensured.

Description

The disposal route of a kind of liquid crystal indicator and data image signal
Technical field
The present invention relates to field of liquid crystal display, in particular use the liquid crystal indicator of LED-backlit, and the disposal route of data image signal.
Background technology
In display, cathode-ray tube (CRT) (CRT) was once once occupying whole market, but due to the restriction on its weight and volume, cannot meet miniaturization of electronic products and light-weighted trend, the small and exquisite display device of a kind of volume of current needs substitutes CRT monitor.Afterwards along with the research to display technique, liquid crystal display (LCD) is the advantage such as little, lightweight and low-power consumption with its volume, can realize the Presentation Function that substitutes CRT, along with the further investigation to LCD, be widely used in the display terminals such as flat-panel monitor and PC, and market presents increase year after year trend to the demand of LCD.
Because LCD is passive demonstration, itself be not irradiative, need to there is a back light unit to irradiate LCD panel, by the light seeing through, show image, so a back light unit of LCD needs is as its light source, for image, shows and uses.
Current LCD is backlight mainly contains two types of cold cathode fluorescent lamp (CCFL) and light emitting diodes (LED).
The CCFL main flow that once becoming backlight, with low cost with it, technology is simply praised highly.But its serviceable life is short, rapid wear, in brightness and color rendition, there is inborn deficiency, be difficult to meet high-quality image display requirement, and CCFL contains the mercury metal huge to environmental hazard, put into effect successively many restrictions of the product to containing mercury all over the world.LED-backlit is arisen at the historic moment for this reason.Relatively traditional C CFL is backlight, adopts LED to be LCD backlight, and the higher color representation power of brightness is stronger, and its color rendition scope can reach 105% of NTSC, is much better than CCFL 70%~85% performance level backlight, more easily accomplishes wide colour gamut.Can reach 100,000 hours the serviceable life of LED in addition, be better than 80,000 hours of CCFL half bright state.And in circuit design, more simply saved the required inversion high-tension circuit of CCFL, structure is simpler.Based on above plurality of advantages, make current LED replace gradually CCFL, be widely used in LCD backlight.
The liquid crystal indicator that has occurred a kind of LED-backlit, backlight illumination is wherein fixed, and can not adjust according to the variation of liquid crystal display content.And even liquid crystal is 0 o'clock in gray level, its transmissivity does not reach 0 yet.Therefore, always some light can see through liquid crystal (light leak), causes place that liquid crystal display picture should " secretly " " secretly " not, has reduced display comparison degree; Meanwhile, most of light of backlight is stopped by liquid crystal, has reduced utilization factor backlight, has produced extra energy consumption.
Engendered a kind of liquid crystal indicator that adopts dynamic backlight technology, dynamic backlight control technology has following several method:
Maximum value process: by the gray scale maximal value of a frame received image signal as adjusted value backlight.The shortcoming of the method is responsive to the noise on image, and power consumption is saved few.
Mean value method: with the average gray of a frame received image signal as adjusted value backlight.The shortcoming of the method is that backlight illumination is too low to darker image, the details of loss image.
IMF algorithm: this algorithm obtains adjusted value backlight by the IMF curve of the grey level histogram of computed image, and shortcoming is calculation of complex, is unfavorable for realizing.
There is following problem in the algorithm proposing in patent US20080291153: 1, this algorithm is larger at processing average brightness, and the image that variance is less, during as monochrome image, has too low problem backlight.For example, for pure white image, according to the algorithm of this patent, backlight only have 0.7; 2, the low grey part liquid crystal compensation of image is too much, and while causing showing darker image, the problem of dark picture areas burnt hair is more obvious.
Therefore, there is defect in prior art, needs to improve.
Summary of the invention
Technical matters to be solved by this invention is for the deficiencies in the prior art, first a kind of liquid crystal indicator is provided, further refer to and provide a kind of LED of use can carry out the liquid crystal indicator of dynamically adjusting according to the variation of liquid crystal display content as the brightness of backlight and this LED-backlit, the disposal route of data image signal in a kind of liquid crystal indicator is finally also provided.
Technical scheme of the present invention is as follows:
A kind of liquid crystal indicator, comprise liquid crystal driver module, backlight drive module, liquid crystal panel and LED-backlit, wherein, also comprise: picture signal receives module, image buffer storage module, image analysis module, backlight illumination computing module, liquid crystal greyscale computing module;
Described picture signal receives module and is connected with described image buffer storage module, described image analysis module respectively, for providing data image signal to described image buffer storage module and described image analysis module;
Described image buffer storage module is also connected with described liquid crystal greyscale computing module, for data image signal described in reception buffer memory, offers described liquid crystal greyscale computing module for adjusting liquid crystal greyscale;
Described image analysis module is also connected with described liquid crystal greyscale computing module with described backlight illumination computing module respectively, be used for receiving described data image signal, described data image signal is carried out to analyzing and processing, obtain image brightness signal and mean value thereof and maximal value, and described mean value is passed to described backlight illumination computing module, and described image brightness signal and described maximal value are passed to described liquid crystal greyscale computing module;
Described backlight illumination computing module is also connected with described liquid crystal greyscale computing module with described backlight drive module respectively, for according to described mean value, calculates backlight brightness values, sends to described backlight drive module and described liquid crystal greyscale computing module;
Described liquid crystal greyscale computing module, for according to described image brightness signal, described maximal value and described backlight brightness values, calculates and adjusts rear liquid crystal greyscale data, and liquid crystal greyscale data after described adjustment are sent to described liquid crystal driver module.
Described liquid crystal indicator, wherein, described image analysis module comprises luminance signal computing unit, average calculation unit and maximum value calculation unit, described luminance signal computing unit is used for receiving described data image signal, according to formula Y=0.299 * R+0.587 * G+0.114 * B computed image luminance signal, wherein Y is image brightness signal, R, G, B is the original gradation data of described data image signal, described average calculation unit is connected with described luminance signal computing unit, for calculating the mean value Yavg of described image brightness signal, described maximum value calculation unit is connected with described luminance signal computing unit, for calculating the maximal value Ymax of described image brightness signal.
Described liquid crystal indicator, wherein, described image analysis module comprises luminance signal computing unit and the statistics with histogram unit connecting in turn, described luminance signal computing unit is used for receiving described data image signal, according to formula Y=0.299 * R+0.587 * G+0.114 * B computed image luminance signal, wherein Y is image brightness signal, R, G, B is the original gradation data of described data image signal, described statistics with histogram unit is for carrying out statistics with histogram to image brightness signal Y, described statistics with histogram unit is also connected with maximum value calculation unit with average calculation unit respectively, described average calculation unit is for calculating the mean value Yavg of described image brightness signal according to the statistics of described statistics with histogram unit, described maximum value calculation unit is for calculating the maximal value Ymax of described image brightness signal according to the statistics of described statistics with histogram unit
Described liquid crystal indicator, wherein, described backlight illumination computing module comprises mean value comparing unit and the backlight illumination computing unit connecting in turn, described mean value comparing unit is for the mean value Yavg and the size that pre-sets threshold value A 0 of movement images luminance signal, to described backlight illumination computing unit, export the first comparative result, described backlight illumination computing unit calculates described backlight brightness values according to described the first comparative result, wherein 0 < A0 < 1.
Described liquid crystal indicator, wherein, described backlight illumination computing unit comprises that the comparative result connecting in turn receives subelement, algorithm chooser unit, described comparative result receives subelement and is used for receiving described the first comparative result, described algorithm chooser unit is for pre-seting backlight brightness values BL described in logical calculated according to described the first comparative result and first, described first pre-sets logic is: if Yavg < is A0, and BL=k 1* Yavg+b 1; If Yavg>=A0, BL=k 2* Yavg+b 2; Open and, BL=k 1* Yavg+b 1and BL=k 2* Yavg+b 2at A0 place, intersect, wherein A0, k 1, k 2, b 1, b 2span be 0 < A0 < 1 ,-1 < k 1< 0,0 < k 2< 1,0 < b 1< 1,0 < b 2< 1.
Described liquid crystal indicator, wherein, described liquid crystal greyscale computing module comprises the minimum adjustment calculation unit connecting in turn, minimum liquid crystal adjusted value comparing unit, gain factor computing unit and grey scale signal computing unit, also comprise K value computing unit, described K value computing unit is connected with gain factor computing unit with minimum adjustment calculation unit, described minimum adjustment calculation unit is for receiving the maximal value Ymax of described backlight brightness values BL and described image brightness signal, according to formula F min=BL/Ymax, calculate minimum adjusted value Fmin, described K value computing unit is used for according to formula K=k 3* Fmin+b 3calculating K value, wherein ,-1 < k 3< 0,0 < b 3< 1, described minimum liquid crystal adjusted value comparing unit is for the size of more minimum adjusted value Fmin and 1, export the second comparative result, described gain factor computing unit is used for receiving image brightness signal Y, described K value and described the second comparative result, according to second, pre-set logical calculated gain factor f, described second pre-sets logic is: if F min < 1, so gain factor if F min>=1, gain factor f (i so, j)=1, wherein μ ∈ (0,1), σ ∈ (0,1), described grey scale signal computing unit, for receiving original gradation data R, G, the B of described gain factor f, described backlight brightness values BL and described data image signal, calculates and adjusts rear liquid crystal greyscale data Rnew, Gnew, Bnew according to formula Rnew=R * f/BL, Gnew=G * f/BL, Bnew=B * f/BL.
A data image signal disposal route that is applied to above-mentioned arbitrary liquid crystal indicator, wherein, comprises the following steps:
A1: data image signal described in buffer memory;
A2: described data image signal is carried out to analyzing and processing and obtain image brightness signal and mean value and maximal value;
A3: according to described mean value, calculate backlight illumination, send to described backlight drive module;
A4: according to described image brightness signal, described maximal value and described backlight brightness values, calculate and adjust rear liquid crystal greyscale data, send to described liquid crystal driver module.
Described method, wherein, described steps A 2 specifically comprises the following steps:
A21: receive described data image signal, according to formula Y=0.299 * R+0.587 * G+0.114 * B computed image luminance signal, wherein Y is image brightness signal;
A22: the mean value Yavg that calculates described image brightness signal;
A23: the maximal value Ymax that calculates described image brightness signal.
Described method, wherein, described steps A 2 specifically comprises the following steps:
A21: receive described data image signal, according to formula Y=0.299 * R+0.587 * G+0.114 * B computed image luminance signal, wherein Y is image brightness signal;
A22: image brightness signal Y is carried out to statistics with histogram;
A23: the mean value Yavg that calculates described image brightness signal according to statistics with histogram result;
A24: the maximal value Ymax that calculates described image brightness signal according to statistics with histogram result.
Described method, wherein: the concrete execution as follows of described steps A 3 operates:
A31: the mean value Yavg of movement images luminance signal with pre-set the size of threshold value A 0, wherein 0 < A0 < 1;
A32: input the first comparative result to described backlight illumination computing unit;
A33: calculate described backlight brightness values according to described comparative result.
Described method, wherein, described steps A 33 specifically comprises the following steps:
A331: receive described the first comparative result;
A332: pre-set backlight brightness values BL described in logical calculated according to described comparative result and first, described first pre-sets logic is: if Yavg < is A0, BL=k 1* Yavg+b 1; If Yavg>=A0, BL=k 2* Yavg+b 2, and BL=k 1* Yavg+b 1and BL=k 2* Yavg+b 2at A0 place, intersect A0, k 1, k 2, b 1, b 2span be 0 < A0 < 1 ,-1 < k 1< 0,0 < k 2< 1,0 < b 1< 1,0 < b 1< 1.
Described method, wherein, operation below concrete execution of described steps A 4:
A41: receive the maximal value Ymax of described backlight brightness values BL and described image brightness signal, calculate minimum adjusted value Fmin according to formula F min=BL/Ymax;
A42: according to formula K=k 3* Fmin+b 3calculating K value;
A43: more minimum adjusted value Fmin and 1 size, output the second comparative result;
A44: receive image brightness signal Y, described K value and described the second comparative result, pre-set logical calculated gain factor f according to second, described second pre-sets logic is: if Fmin < 1, so gain factor if F min>=1,
Gain factor f (i so, j)=1, wherein μ ∈ (0,1), σ ∈ (0,1), described grey scale signal computing unit is for receiving original gradation data R, G, the B of described gain factor f, described backlight brightness values BL and described data image signal, according to formula Rnew=R * f/BL, Gnew=G * f/BL, liquid crystal greyscale data Rnew, Gnew, Bnew after Bnew=B * f/BL calculates and adjusts.
Backlight illumination computing method proposed by the invention have following beneficial effect:
1, the present invention is according to the average brightness Yavg of input picture, according to a refractive line equation, calculate backlight brightness values, the backlight illumination computing method that patent US20080291153 proposes are to calculate backlight brightness values according to the average brightness Yavg of input picture and brightness variance Yvar;
The computing method of the backlight illumination that 2, patent US20080291153 proposes are when showing monochrome image, there is the too low problem of backlight illumination, there is not the too low problem of backlight illumination in the computing method of backlight illumination proposed by the invention, has expanded applicable image range;
3, liquid crystal greyscale computing method proposed by the invention do not need low-pass filtering, and this has just reduced the easier hardware of complicacy calculating and has realized.The function of calculated gains factor f has the high curvilinear function form in low centre, both sides;
4, the function of the calculated gains factor f proposing in patent US20080291153 is a refractive line equation successively decreasing.The problem that liquid crystal greyscale computing method proposed by the invention can avoid the low grey part liquid crystal compensation on image too much to cause picture contrast to reduce.
Accompanying drawing explanation
Fig. 1 is the structural representation of the embodiment of the present invention 1;
Fig. 2 is the structural representation of the embodiment of the present invention 2;
Fig. 3 is the structural representation of the embodiment of the present invention 3;
Fig. 4 is the structural representation of the embodiment of the present invention 4;
Fig. 5 is the structural representation of the embodiment of the present invention 5;
Fig. 6 is the process flow diagram of the inventive method;
Embodiment
Below in conjunction with the drawings and specific embodiments, the present invention is described in detail.
Embodiment 1
The present embodiment provides a kind of liquid crystal indicator, as shown in Figure 1, comprise: liquid crystal driver module 15, backlight drive module 16, liquid crystal panel 18 and LED-backlit 17, picture signal receives module 10, image buffer storage module 11, image analysis module 12, backlight illumination computing module 13, liquid crystal greyscale computing module 15.Picture signal receives module 10 and is connected with image buffer storage module 11, image analysis module 12 respectively, for providing data image signal to image buffer storage module 11 and image analysis module 12; Image buffer storage module 11 is connected with liquid crystal greyscale computing module 14, for receiving and buffer memory data image signal, for liquid crystal gray count module 14, adjusts liquid crystal greyscale; Image analysis module 12 is connected with backlight illumination computing module 13, be used for receiving data image signal, data image signal is carried out to analyzing and processing frame by frame, obtain the maximal value of mean value and the image brightness signal of image brightness signal, image brightness signal, and the mean value of image brightness signal is passed to backlight illumination computing module, and the maximal value of image brightness signal and image brightness signal is passed to liquid crystal greyscale computing module; Backlight illumination computing module 13 is connected with liquid crystal greyscale computing module 14 with backlight drive module 16 respectively, for according to the mean value of image brightness signal, calculates backlight brightness values, sends to backlight drive module 16 and liquid crystal greyscale computing module 14; Liquid crystal greyscale computing module 14, be used for according to the maximal value of image brightness signal, image brightness signal and backlight brightness values, calculate and adjust rear liquid crystal greyscale data, and liquid crystal greyscale data after adjustment are sent to liquid crystal driver module 15, by liquid crystal driver module 15, drive connected liquid crystal panel 18, like this, the present embodiment adopts the method for full frame dynamic control backlight, backlight illumination is changed according to image content, reduced power consumption.
Embodiment 2
On the basis of embodiment 1, as shown in Figure 2, preferably, the present embodiment arranges luminance signal computing unit 121 in described image analysis module, average calculation unit 124 and maximum value calculation unit 123, described luminance signal computing unit 121 is for receiving described data image signal, according to formula Y=0.299 * R+0.587 * G+0.114 * B computed image luminance signal, wherein Y is image brightness signal, R, G, B is the original gradation data of described data image signal, described average calculation unit 124 is connected with described luminance signal computing unit 121, for calculating the mean value Yavg of described image brightness signal, described maximum value calculation unit 123 is connected with described luminance signal computing unit 121, for calculating the maximal value Ymax of described image brightness signal.
Embodiment 3
On the basis of embodiment 1, as shown in Figure 3, preferably, the present embodiment further arranges a histogram statistic unit 121 in image analysis module 12, its annexation is changed into: luminance signal computing unit 121 is connected in turn with statistics with histogram unit 122, luminance signal computing unit 121 is for receiving data image signal, according to formula Y=0.299 * R+0.587 * G+0.114 * B computed image luminance signal, wherein Y is image brightness signal, R, G, B is the original gradation data of data image signal, statistics with histogram unit 122 is for carrying out statistics with histogram to image brightness signal Y, statistics with histogram unit 122 is also connected with maximum value calculation unit 123 with average calculation unit 124 respectively, average calculation unit 124 is for according to the mean value Yavg of the statistics computed image luminance signal of statistics with histogram unit 122, maximum value calculation unit 123 is for according to the maximal value Ymax of the statistics computed image luminance signal of statistics with histogram unit 122.
Embodiment 4
Be applied to the various embodiments described above, as shown in Figure 4, preferably, the present embodiment arranges mean value comparing unit 131 and the backlight illumination computing unit 132 connecting in turn in backlight illumination computing module 13, mean value comparing unit 131 is for the mean value Yavg and the size that pre-sets threshold value A 0 of movement images luminance signal, the first comparative result is exported in the shading computation unit of supporting or opposing, and backlight illumination computing unit calculates backlight brightness values according to comparative result.
Another example, backlight illumination computing unit 132 comprises that the comparative result connecting in turn receives subelement, algorithm chooser unit (not shown), comparative result receives subelement and is used for receiving the first comparative result, algorithm chooser unit is for pre-seting logical calculated backlight brightness values BL according to comparative result and first, first pre-sets logic is: if Yavg < is A0, and BL=k 1* Yavg+b 1; If Yavg>=A0, BL=k 2* Yavg+b 2, and, BL=k 1* Yavg+b 1and BL=k 2* Yavg+b 2at A0 place, intersect A0, k 1, k 2, b 1, b 2span be 0 < A0 < 1 ,-1 < k 1< 0,0 < k 2< 1,0 < b 1< 1,0 < b 2< 1.For example, in plane right-angle coordinate, BL=k 1* Yavg+b 1and BL=k 2* Yavg+b 2at A0 place, intersect.
Embodiment 5
Be applied to the various embodiments described above, as shown in Figure 5, preferably, the present embodiment comprises the minimum adjustment calculation unit 141 connecting in turn at liquid crystal greyscale computing module 14, minimum liquid crystal adjusted value comparing unit 142, gain factor computing unit 143 and grey scale signal computing unit 144, also comprise K value computing unit 140, K value computing unit 140 is connected with gain factor computing unit 142 with minimum adjustment calculation unit 141, minimum adjustment calculation unit 141 is for receiving the maximal value Ymax of backlight brightness values BL and image brightness signal, according to formula F min=BL/Ymax, calculate minimum adjusted value Fmin, K value computing unit 140 is for according to formula K=k3 * Fmin+b3 calculating K value, wherein parameter value scope is :-1 < k3 < 0, 0 < b3 < 1, minimum liquid crystal adjusted value comparing unit 142 sizes for more minimum adjusted value Fmin and 1, export the second comparative result, gain factor computing unit 143 is for receiving image brightness signal Y, K value and the second comparative result, according to second, pre-set logical calculated gain factor f, second pre-sets logic is: if Fmin < 1, gain factor so if F min>=1, gain factor f (i, j)=1 so, μ ∈ (0,1) wherein, σ ∈ (0,1).
Grey scale signal computing unit 144, for original gradation data R, G, the B of receiving gain factor f, backlight brightness values BL and data image signal, calculates and adjusts rear liquid crystal greyscale data Rnew, Gnew, Bnew according to formula Rnew=R * f/BL, Gnew=G * f/BL, Bnew=B * f/BL.
Embodiment 6
The present embodiment provides a kind of data image signal disposal route that is applied to the various embodiments described above, and as shown in Figure 6, the method comprises the following steps: A1: buffer memory data image signal; A2: data image signal is carried out to the maximal value that analyzing and processing obtains mean value and the image brightness signal of image brightness signal, image brightness signal; A3: according to the mean value of image brightness signal, calculate backlight illumination, send to backlight drive module; A4: according to the maximal value of image brightness signal, image brightness signal and backlight brightness values, calculate and adjust rear liquid crystal greyscale data, send to liquid crystal driver module.
Further preferred, steps A 2 specifically comprises the following steps: A21: receive described data image signal, according to formula Y=0.299 * R+0.587 * G+0.114 * B computed image luminance signal, wherein Y is image brightness signal; A22: the mean value Yavg that calculates described image brightness signal; A23: the maximal value Ymax that calculates described image brightness signal.
All right in addition, before above-mentioned steps A22, increase by a step: image brightness signal Y is carried out to statistics with histogram, like this, steps A 2 specifically comprises the following steps: A21: receive described data image signal, according to formula Y=0.299 * R+0.587 * G+0.114 * B computed image luminance signal, wherein Y is image brightness signal; A22: image brightness signal Y is carried out to statistics with histogram; A23: the mean value Yavg that calculates described image brightness signal according to the statistics with histogram result in upper step A22; A24: the maximal value Ymax that calculates described image brightness signal according to the statistics with histogram result in upper step A22.
Further preferred, concrete following operation: the A31 that carries out of steps A 3: the mean value Yavg of movement images luminance signal and the size that pre-sets threshold value A 0; A32: the first comparative result is exported in the shading computation unit of supporting or opposing; A33: calculate backlight brightness values according to comparative result.Steps A 33 specifically comprises the following steps: A331: receive the first comparative result; A332: pre-set logical calculated backlight brightness values BL according to comparative result and first, first pre-sets logic is: if Yavg < is A0, BL=k 1* Yavg+b 1; If Yavg>=A0, BL=k 2* Yavg+b 2, and BL=k 1* Yavg+b 1and BL=k 2* Yavg+b 2at A0 place, intersect A0, k 1, k 2, b 1, b 2span be 0 < A0 < 1 ,-1 < k 1< 0,0 < k 2< 1,0 < b 1< 1,0 < b 2< 1.
Further preferred, concrete following operation: the A41 that carries out of steps A 4: receive the maximal value Ymax of backlight brightness values BL and image brightness signal, calculate minimum adjusted value Fmin according to formula F min=BL/Ymax; A42: according to publicity K=k 3* Fmin+b 3calculating K value; A43: more minimum adjusted value Fmin and 1 size, output the second comparative result; A44: receive image brightness signal Y, K value and the second comparative result, pre-set logical calculated gain factor f according to second, second pre-sets logic is, if Fmin < 1, so wherein μ ∈ (0,1), σ ∈ (0,1), if F min>=1, f (i so, j)=1, grey scale signal computing unit is for original gradation data R, G, the B of receiving gain factor f, backlight brightness values BL and data image signal, according to formula Rnew=R * f/BL, Gnew=G * f/BL, liquid crystal greyscale data Rnew, Gnew, Bnew after Bnew=B * f/BL calculates and adjusts.
Below illustrate above-mentioned disposal route, the image that the frame resolution of take is 1024 * 768 is example, first the above-mentioned data image signal of buffer memory, this frame of digital picture signal is carried out to analyzing and processing and obtain image brightness signal Y, the mean value Yavg of image brightness signal is 0.3631, and the maximal value Ymax of image brightness signal is 1; According to the mean value of image brightness signal, calculate backlight illumination BL=0.6453, send to backlight drive module; According to the maximal value Ymax of image brightness signal Y, image brightness signal and backlight brightness values BL, according to formula F min=BL/Ymax, calculate minimum adjusted value Fmin=0.6453, really defining K value is 0.1774, according to second, pre-set logical calculated and obtain gain factor f corresponding to each pixel of this two field picture, table 1 is gain factor f corresponding to front 20 * 4 pixels, according to each gain factor f, calculate and adjust rear liquid crystal greyscale data, send to liquid crystal driver module, complete the adjustment of liquid crystal greyscale.
0.749809635663802 0.751002294622044 0.753388665284559 0.753388665284559
0.752195401216386 0.752195401216386 0.752195401216386 0.752195401216386
0.754581793350141 0.753388665284559 0.752195401216386 0.751002294622044
0.753388665284559 0.753388665284559 0.752195401216386 0.752195401216386
0.753732313111636 0.752539057979472 0.752539057979472 0.754925347120548
0.758500131362936 0.75611786242109 0.753732313111636 0.754925347120548
0.766776635331531 0.762062035042348 0.75611786242109 0.753732313111636
0.774874288563928 0.766776635331531 0.757309558366323 0.753732313111636
0.770262689680726 0.753719187965361 0.752525932043833 0.758487042270814
0.771420207529244 0.754912226019625 0.752525932043833 0.758487042270814
0.77599751096158 0.757296455260062 0.752525932043833 0.757296455260062
0.780474449385246 0.759676203297363 0.752525932043833 0.756104748655819
0.78482967638911 0.76323202669931 0.752525932043833 0.754912226019625
0.789041866458821 0.76558971250576 0.752525932043833 0.753719187965361
0.791794572770104 0.767584583858002 0.752169150107709 0.752169150107709
0.794063036064003 0.76792127614791 0.752512806117484 0.752169150107709
0.805365595632474 0.781156918776168 0.734219542181174 0.757554918273707
0.803967004755621 0.789974898804861 0.746113560529181 0.756842530524326
0.794955933969412 0.789974898804861 0.758033580078702 0.753264567099767
0.795916911053141 0.788945715866669 0.76514151775644 0.752071305791174
Table 1
Adopt said method processing digital images signal, full frame dynamic control backlight illumination, makes backlight illumination change according to image content, due to the dynamic change of backlight illumination, does not need to continue output constant luminance, thereby can reduce significantly power consumption.Liquid crystal greyscale is also adjusted according to the adjustment of backlight illumination simultaneously, thereby has guaranteed the effect of display frame.
Should be understood that, for those of ordinary skills, can be improved according to the above description or convert, and all these improvement and conversion all should belong to the protection domain of claims of the present invention.

Claims (11)

1. a liquid crystal indicator, comprise liquid crystal driver module, backlight drive module, liquid crystal panel and LED-backlit, it is characterized in that, also comprise: picture signal receives module, image buffer storage module, image analysis module, backlight illumination computing module, liquid crystal greyscale computing module;
Described picture signal receives module and is connected with described image buffer storage module, described image analysis module respectively, for providing data image signal to described image buffer storage module and described image analysis module;
Described image buffer storage module is also connected with described liquid crystal greyscale computing module, for data image signal described in reception buffer memory, offers described liquid crystal greyscale computing module for adjusting liquid crystal greyscale;
Described image analysis module is also connected with described liquid crystal greyscale computing module with described backlight illumination computing module respectively, be used for receiving described data image signal, described data image signal is carried out to analyzing and processing, obtain image brightness signal and mean value thereof and maximal value, and described mean value is passed to described backlight illumination computing module, and described image brightness signal and described maximal value are passed to described liquid crystal greyscale computing module;
Described backlight illumination computing module is also connected with described liquid crystal greyscale computing module with described backlight drive module respectively, for according to described mean value, calculates backlight brightness values, sends to described backlight drive module and described liquid crystal greyscale computing module;
Described liquid crystal greyscale computing module, for according to described image brightness signal, described maximal value and described backlight brightness values, calculates and adjusts rear liquid crystal greyscale data, and liquid crystal greyscale data after described adjustment are sent to described liquid crystal driver module.
2. liquid crystal indicator according to claim 1, it is characterized in that, described image analysis module comprises luminance signal computing unit, average calculation unit and maximum value calculation unit, described luminance signal computing unit is used for receiving described data image signal, according to formula Y=0.299 * R+0.587 * G+0.114 * B computed image luminance signal, wherein Y is image brightness signal, R, G, B is the original gradation data of described data image signal, described average calculation unit is connected with described luminance signal computing unit, for calculating the mean value Yavg of described image brightness signal, described maximum value calculation unit is connected with described luminance signal computing unit, for calculating the maximal value Ymax of described image brightness signal.
3. liquid crystal indicator according to claim 1, it is characterized in that, described image analysis module comprises luminance signal computing unit and the statistics with histogram unit connecting in turn, described luminance signal computing unit is used for receiving described data image signal, according to formula Y=0.299 * R+0.587 * G+0.114 * B computed image luminance signal, wherein Y is image brightness signal, R, G, B is the original gradation data of described data image signal, described statistics with histogram unit is for carrying out statistics with histogram to image brightness signal Y, described statistics with histogram unit is also connected with maximum value calculation unit with average calculation unit respectively, described average calculation unit is for calculating the mean value Yavg of described image brightness signal according to the statistics of described statistics with histogram unit, described maximum value calculation unit is for calculating the maximal value Ymax of described image brightness signal according to the statistics of described statistics with histogram unit.
4. liquid crystal indicator according to claim 1, it is characterized in that, described backlight illumination computing module comprises mean value comparing unit and the backlight illumination computing unit connecting in turn, described mean value comparing unit is for the mean value Yavg and the size that pre-sets threshold value A 0 of movement images luminance signal, to described backlight illumination computing unit, export the first comparative result, described backlight illumination computing unit calculates described backlight brightness values according to described the first comparative result, wherein 0 < A0 < 1.
5. liquid crystal indicator according to claim 4, it is characterized in that, described backlight illumination computing unit comprises that the comparative result connecting in turn receives subelement, algorithm chooser unit, described comparative result receives subelement and is used for receiving described the first comparative result, described algorithm chooser unit is for pre-seting backlight brightness values BL described in logical calculated according to described the first comparative result and first, described first pre-sets logic is: if Yavg < is A0, and BL=k 1* Yavg+b 1; If Yavg>=A0, BL=k 2* Yavg+b 2; And, BL=k 1* Yavg+b 1and BL=k 2* Yavg+b 2at A0 place, intersect, wherein A0, k 1, k 2, b 1, b 2span be 0 < A0 < 1 ,-1 < k 1< 0,0 < k 2< 1,0 < b 1< 1,0 < b 2< 1.
6. liquid crystal indicator according to claim 1, it is characterized in that, described liquid crystal greyscale computing module comprises the minimum adjustment calculation unit connecting in turn, minimum liquid crystal adjusted value comparing unit, gain factor computing unit and grey scale signal computing unit, also comprise K value computing unit, described K value computing unit is connected with gain factor computing unit with minimum adjustment calculation unit, described minimum adjustment calculation unit is for receiving the maximal value Ymax of described backlight brightness values BL and described image brightness signal, according to formula F min=BL/Ymax, calculate minimum adjusted value Fmin, described K value computing unit is used for according to formula K=k 3* Fmin+b 3calculating K value, wherein ,-1 < k 3< 0,0 < b 3< 1, described minimum liquid crystal adjusted value comparing unit is for the size of more minimum adjusted value Fmin and 1, export the second comparative result, described gain factor computing unit is used for receiving image brightness signal Y, described K value and described the second comparative result, according to second, pre-set logical calculated gain factor f, described second pre-sets logic is: if Fmin < 1, so gain factor f ( i , j ) = F min + K &times; e - ( Y ( i , j ) - &mu; ) 2 &sigma; 2 , If Fmin >=1, gain factor f (i so, j)=1, wherein μ ∈ (0,1), σ ∈ (0,1), described grey scale signal computing unit, for receiving original gradation data R, G, the B of described gain factor f, described backlight brightness values BL and described data image signal, calculates and adjusts rear liquid crystal greyscale data Rnew, Gnew, Bnew according to formula Rnew=R * f/BL, Gnew=G * f/BL, Bnew=B * f/BL.
7. a data image signal disposal route that is applied to the arbitrary liquid crystal indicator of claim 1 to 6, is characterized in that, comprises the following steps:
A1: data image signal described in buffer memory;
A2: described data image signal is carried out to analyzing and processing and obtain image brightness signal and mean value and maximal value;
A3: according to described mean value, calculate backlight illumination, send to described backlight drive module;
A4: according to described image brightness signal, described maximal value and described backlight brightness values, calculate and adjust rear liquid crystal greyscale data, send to described liquid crystal driver module.
8. method according to claim 7, is characterized in that, described steps A 2 specifically comprises the following steps:
A21: receive described data image signal, according to formula Y=0.299 * R+0.587 * G+0.114 * B computed image luminance signal, wherein Y is image brightness signal;
A22: the mean value Yavg that calculates described image brightness signal;
A23: the maximal value Ymax that calculates described image brightness signal;
Or described steps A 2 specifically comprises the following steps:
A21: receive described data image signal, according to formula Y=0.299 * R+0.587 * G+0.114 * B computed image luminance signal, wherein Y is image brightness signal;
A22: image brightness signal Y is carried out to statistics with histogram;
A23: the mean value Yavg that calculates described image brightness signal according to statistics with histogram result;
A24: the maximal value Ymax that calculates described image brightness signal according to statistics with histogram result.
9. method according to claim 7, is characterized in that: described steps A 3 is concrete carries out following operation:
A31: the mean value Yavg of movement images luminance signal with pre-set the size of threshold value A 0, wherein 0 < A0 < 1;
A32: input the first comparative result to described backlight illumination computing unit;
A33: calculate described backlight brightness values according to described comparative result.
10. method according to claim 9, is characterized in that, described steps A 33 specifically comprises the following steps:
A331: receive described the first comparative result;
A332: pre-set backlight brightness values BL described in logical calculated according to described comparative result and first, described first pre-sets logic is: if Yavg < is A0, BL=k 1* Yavg+b 1; If Yavg>=A0, BL=k 2* Yavg+b 2, and BL=k 1* Yavg+b 1and BL=k 2* Yavg+b 2at A0 place, intersect A0, k 1, k 2, b 1, b 2span be 0 < A0 < 1 ,-1 < k 1< 0,0 < k 2< 1,0 < b 1< 1,0 < b 1< 1.
11. methods according to claim 7, is characterized in that, operation below concrete execution of described steps A 4:
A41: receive the maximal value Ymax of described backlight brightness values BL and described image brightness signal, calculate minimum adjusted value Fmin according to formula F min=BL/Ymax;
A42: according to formula K=k 3* Fmin+b 3calculating K value, wherein ,-1 < k3 < 0,0 < b3 < 1;
A43: more minimum adjusted value Fmin and 1 size, output the second comparative result;
A44: receive image brightness signal Y, described K value and described the second comparative result, pre-set logical calculated gain factor f according to second, described second pre-sets logic is: if Fmin < 1, so gain factor f ( i , j ) = F min + K &times; e - ( Y ( i , j ) - &mu; ) 2 &sigma; 2 , If Fmin >=1, gain factor f (i so, j)=1, wherein μ ∈ (0,1), σ ∈ (0,1), described grey scale signal computing unit is for receiving original gradation data R, G, the B of described gain factor f, described backlight brightness values BL and described data image signal, according to formula Rnew=R * f/BL, Gnew=G * f/BL, liquid crystal greyscale data Rnew, Gnew, Bnew after Bnew=B * f/BL calculates and adjusts.
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