CN109102471A - A kind of low power image display driving method based on histogram modification - Google Patents
A kind of low power image display driving method based on histogram modification Download PDFInfo
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Abstract
The low power image display driving method based on histogram modification that the present invention provides a kind of, the following steps are included: input picture ,-R, G, B three primary colours channel histogram in acquisition image-is modified histogram, obtains revised histogram-and carries out the histogram of original image with revised histogram to match-export the histogram after matching.The present invention maintains visual effect while realizing power consumption limit；High luminance pixels are all eliminated different from traditional algorithm, method proposes low-power consumption histogram modification methods, by reducing high luminance pixels number, realize power consumption limit, at the same time, visual effect is promoted by retaining part high luminance pixels, and is the power consumption limit that histogram matching is applied to image for the first time, realizes excellent treatment effect；The Histogram adjustment of input picture is realized into the low-power consumption processing of image at modified histogram shape by Histogram Matching.
Description
Technical field
The low power image display driving method based on histogram modification that the present invention relates to a kind of, belongs to field of image enhancement
And field of consumer electronics.
Background technique
Currently, it has brought great convenience to daily life by the consumer electronics product of representative of smart phone.
But since cell-phone battery electric-charge quantity is limited, frequent charge problem caused by display panel power consumption is excessive has severely impacted user
Experience, compared with traditional display panel, active matrix organic light-emitting diode (AMOLED, Active-matrix organic
Light emitting diode) panel has many advantages, such as comprehensive 180 ° of visual angles, fast response time, convenient for ultrathin design, be
The flat panel display for customizing extremely strong, independent intellectual property right added value highest, most putting into dynamogenetic value and market potential.
Currently, AMOLED display panel is mainly used on mobile phone and portable media player. Displaysearch
Data show that in recent years, under the promotion of smart phone market rapid growth, AMOLED panel of the whole world for field of mobile phones is accounted for
The ratio of total shipment amount quickly rises, until 2016, global AMOLED display screen shipment amount reaches 4.3 hundred million, increases by a year-on-year basis
45%, wherein only mobile phone with AMOLED display screen shipment amount just reaches 3.7 hundred million.And the following large scale AMOLED display panel
Also will gradually volume production, the application in laptop, net book, display and television field will be stepped up, high-end
Electronics field, AMOLED display panel have gradually become one of the significant differences factor between product.Huge
Under market demand driving, industry has carried out a large amount of research to AMOLED, including transparent AMOLED screen, flexibility AMOLED screen,
Large scale AMOLED screen.
In the relevant product of all AMOLED, portable product has the most wide market space and application value.
For the portable digital products such as smart phone, tablet computer, digital camera, MP4 and game machine, low-power consumption has very heavy
The meaning wanted, power consumption is lower, and stand-by time is longer, and user experience will be significantly improved.In almost all of band screen
In digital product, the power consumption of display panel accounts for 50% of total power consumption or more.Therefore, digital production limited for battery capacity
For product, it is most important to extended stand-by time, promotion user experience to reduce power consumption.
Under the driving of display technology application, industry starts increasingly to pay attention to low-power consumption AMOLED display technology.2007
Year, Germany Saarland university has carried out in relation to the low-power consumption of PMOLED panel, the research of long-life, and maximum feature is application
Consecutive Multiline Addressing scheme (CMLA) method reduces the power consumption of PMOLED and extends the service life,
Its core is by a picture breakdown to be shown into one group of multirow matrix and residual row vector, which utilizes
Combinational algorithm realizes there is non-destructive.It is simultaneously uncomfortable although the research has the feasibility of stronger theoretical property and Project Realization
For AMOLED display panel.The same year, the scholars such as Arkhipov of South Korea propose the power consumption limit method scaled based on equal proportion
(NPC) be applied to AMOLED TV, when total current be greater than threshold current when, by the grayscale to pixel each in original image multiplied by
One zoom factor obtains new grayscale, to reduce power consumption.However, display power consumption is controlled primarily by the high gray picture in image
Vegetarian refreshments, when executing in the method, the either grayscale of high gray pixel or low ash rank pixel is all scaled in image
, seriously affected the visual effect of image.Since the above method is while realizing power consumption limit, the visual effect of image is moved back
Change, and color information loss is more, in order to be improved, state-run loyal Beijing University of Zhong Qing university of South Korea and South Korea is learned proposes base jointly
In the low-power consumption display methods (ACSC) of color space conversion, it is inclined that the brightness of respective coordinates pixel in original image is subtracted into brightness
Shifting amount, to obtain the brightness of each pixel in image.Although this method is maximum while realizing power consumption limit
The color information of image is maintained, but the low ash exponent part in image is equally scaled, the visual effect for handling image needs to be mentioned
It is high.In order to promote the visual effect of low ash exponent part while realizing power consumption limit, document proposes a kind of based on parabola
The low-power consumption treatment method of model.This method keeps the grayscale of low ash rank pixel unit constant, to maintain low gray scale image
The visual effect of details.In addition, high gray partial pixel is stacked into some specific grayscale by this method, to reduce high gray portion
The pixel quantity divided, to reduce display power consumption.Although this method realizes the promotion of low ash exponent part image visual effect, but
It is that the loss of high gray parts of images visual effect is serious.
Summary of the invention
In order to solve the above technical problems, the present invention provides a kind of, the low power image based on histogram modification shows driving
Method, should be passed through based on the low power image display driving method of histogram modification, which reduces high luminance pixels number, realizes power consumption limit
System promotes visual effect by retaining part high luminance pixels at the same time.
The present invention is achieved by the following technical programs.
A kind of low power image display driving method based on histogram modification provided by the invention, comprising the following steps:
1. input picture；
2. obtaining R, G, B three primary colours channel histogram in image；
3. to step 2. in histogram be modified, obtain revised histogram；
4. by step 2. in histogram and step 3. in histogram match；
5. the histogram after output matching；
3. the step is divided into following steps:
(3.1) calculate separately step 2. in histogram amendment spacing:
Wherein, D is amendment spacing, HmaxFor the maximum gray in channel, HminFor the minimum gray in channel；
(3.2) to picture portion: according to different channels, carrying out subregion to image, in each channel, divide the image into three
A area, the respectively area A, the area B and the area C；
(3.3) by formula, respectively to step 2. in histogram be modified: histogram is studied by following formula
Just:
Wherein, i is grayscale variable, histiFor former histogram parameter, hist 'iFor revised histogram parameter, k is ash
Rank, D are amendment spacing；
(3.4) histogram in revised each channel is obtained.
The amendment spacing is the half of the grayscale span of image.
The grayscale span is the difference of maximum gray and minimum gray.
The range in the area A is [Hmax- D, Hmax], the range in the area B is [Hmin, Hmin- D], the range in the area C be [0,
Hmin]。
4. the step is divided into following steps:
(4.1) obtaining step 2. in some channel and green channel histogram parameter, be expressed as histi；
(4.2) grayscale of the pixel unit in some channel is read one by one；
(4.3) by formula, the cumulative area of histogram is calculated, the formula is as follows:
Wherein, srFor cumulative area, i is grayscale variable, and r is natural number；
(4.4) according to step 3. in revised histogram parameter hist 'i, it obtains transfer function G (z):
Wherein, k is grayscale, and value range is 0~255；
(4.5) the inverse function k=G of transfer function in step (4.4) is found out-1；
(4.6) by more new formula, the more grayscale in new images channel completes Histogram Matching processing；
(4.7) step (4.1)~(4.6) are repeated, matching treatment is carried out to the other two channel in image；
(4.8) histogram in each channel after matching is obtained.
Some described channel is one in R, G, B three primary colours channel.
The transfer function is to correct histogram cumulative area with the transformation relation of grayscale.
More new formula in the step (4.6) are as follows:
kr=G-1(sr)；
Wherein, krFor the updated value of grayscale, srFor cumulative area.
The beneficial effects of the present invention are:
1. maintaining visual effect while realizing power consumption limit；It is different from traditional algorithm that high luminance pixels are whole
It eliminates, method proposes low-power consumption histogram modification methods to realize power consumption limit, with this by reducing high luminance pixels number
Meanwhile visual effect is promoted by retaining part high luminance pixels.
2. histogram matching to be applied to the power consumption limit of image for the first time, excellent treatment effect is realized；Pass through
The Histogram adjustment of input picture at modified histogram shape, is realized the low-power consumption processing of image by Histogram Matching.
3. the experimental results showed that this method processing gained image is shown compared to parabola model, NPC and ACSC algorithm
Show that power consumption reduces 17.8%, 10.9% and 11.0% respectively.
Detailed description of the invention
Fig. 1 is flow chart of the invention；
Fig. 2 is schematic diagram of the histogram cumulative area of the present invention with gray scale variation；
Fig. 3 is the cumulative area of the revised histogram of the present invention with the schematic diagram of gray scale variation.
Specific embodiment
Be described further below technical solution of the present invention, but claimed range be not limited to it is described.
As shown in Figure 1, a kind of low power image display driving method based on histogram modification, comprising the following steps:
1. input picture；
2. obtaining R, G, B three primary colours channel histogram in image；
3. to step 2. in histogram be modified, obtain revised histogram；By histogram modification, reduce high
Greyscale pixel number increases low ash rank number of pixels, is the cardinal principle for realizing low-power consumption processing；It is specifically divided into following steps
(to R, G, B triple channel of original image, all in accordance with steps of processing, to realize histogram modification):
(3.1) calculate separately step 2. in histogram amendment spacing:Wherein, D is between correcting
Away from HmaxFor the maximum gray in channel, HminFor the minimum gray in channel；The amendment spacing is the one of the grayscale span of image
Half；The grayscale span is the difference of maximum gray and minimum gray；
(3.2) to picture portion: according to different channels, carrying out subregion to image, in each channel, divide the image into three
A area, the respectively area A, the area B and the area C；The range in the area A is [Hmax- D, Hmax], the range in the area B is [Hmin, Hmin- D], C
The range in area is [0, Hmin]；I.e. when calculating be the histogram in the channel R when, the range in the area A is [Rmax-DR, Rmax], the area B
Range is [Rmin, Rmin-DR], the range in the area C is [0, Rmin], wherein RmaxFor the maximum gray in the channel R, RminFor the channel R
Minimum gray, DRFor the amendment spacing in the channel R；
(3.3) by formula, respectively to step 2. in histogram be modified: histogram is studied by following formula
Just:
Wherein, i is grayscale variable, histiFor former histogram parameter, hist 'iFor revised histogram parameter, k is ash
Rank, D are amendment spacing；
(3.4) histogram in revised each channel is obtained.
Further, by taking the channel R as an example, histogram modification is illustrated:
1. calculating amendment spacing:
Wherein, DRIt is amendment spacing, RminIt is the minimum gray in the channel R, RmaxIt is the maximum gray in the channel R.
2. pair picture portion: dividing the image into three areas, the area A is [Rmax-DR, Rmax], the area B is [Rmin, Rmin-DR], the area C
It is [0, Rmin]。
3. being corrected by formula.
4. by step 2. in histogram and step 3. in histogram match；The histogram of matching gained image will
The shape of amendment histogram is showed, therefore power consumption is reduced；It is specifically divided into following steps:
(4.1) obtaining step 2. in some channel and green channel histogram parameter, be expressed as histi；
(4.2) grayscale of the pixel unit in some channel is read one by one；Some described channel is R, G, B three primary colours channel
In one；
(4.3) by formula, the cumulative area of histogram is calculated, as shown in Fig. 2, the formula is as follows:
Wherein, srFor cumulative area, i is grayscale variable, and r is natural number, and grayscale increases to r from 0；
(4.4) according to step 3. in revised histogram parameter hist 'i, as shown in figure 3, obtaining transfer function G
(z):
Wherein, k is grayscale, and value range is 0~255；The transfer function is amendment histogram cumulative area with grayscale
Transformation relation；
(4.5) the inverse function k=G of transfer function in step (4.4) is found out-1, indicate that G (k) arrives the transformational relation of k；
(4.6) by more new formula, the more grayscale in new images channel completes Histogram Matching processing；The update is public
Formula are as follows:
kr=G-1(sr)；
Wherein, krFor the updated value of grayscale, srFor cumulative area；
(4.7) step (4.1)~(4.6) are repeated, matching treatment is carried out to the other two channel in image；
(4.8) histogram in each channel after matching is obtained.
Further, to original image (i.e. step 1. in input image) three channels in, each pixel unit into
The above-mentioned Histogram Matching processing of row, so that it may obtain new image, the status of the image histogram will be with revised histogram
Status it is similar, therefore power consumption is reduced.
5. the histogram after output matching.
In conclusion first counting the histogram in red, green, blue three primary colours channel for piece image, then pass through histogram
Modification method reduces high gray number of pixels, increases low ash rank number of pixels；It is worth noting that, histogram modification is this hair
A step more crucial in bright, it is the cardinal principle for realizing low-power consumption processing.Then, by Histogram Matching, so that original image
The histogram of picture is to revised Histogram Matching, after the processing by Histogram Matching, the histogram of processing gained image
Figure will show the shape of amendment histogram, therefore power consumption is reduced.
Claims (8)
1. a kind of low power image display driving method based on histogram modification, it is characterised in that: the following steps are included:
1. input picture；
2. obtaining R, G, B three primary colours channel histogram in image；
3. to step 2. in histogram be modified, obtain revised histogram；
4. by step 2. in histogram and step 3. in histogram match；
5. the histogram after output matching；
3. the step is divided into following steps:
(3.1) calculate separately step 2. in histogram amendment spacing:Wherein, D is amendment spacing,
HmaxFor the maximum gray in channel, HminFor the minimum gray in channel；
(3.2) to picture portion: according to different channels, carrying out subregion to image, in each channel, divide the image into three
Area, the respectively area A, the area B and the area C；
(3.3) by formula, respectively to step 2. in histogram be modified: by following formula to histogram education just:
Wherein, i is grayscale variable, histiFor former histogram parameter, hist 'iFor revised histogram parameter, k is grayscale, D
To correct spacing；
(3.4) histogram in revised each channel is obtained.
2. the low power image display driving method based on histogram modification as described in claim 1, it is characterised in that: described
Correct the half for the grayscale span that spacing is image.
3. the low power image display driving method based on histogram modification as claimed in claim 2, it is characterised in that: described
Grayscale span is the difference of maximum gray and minimum gray.
4. the low power image display driving method based on histogram modification as described in claim 1, it is characterised in that: described
The range in the area A is [Hmax- D, Hmax], the range in the area B is [Hmin, Hmin- D], the range in the area C is [0, Hmin]。
5. the low power image display driving method based on histogram modification as described in claim 1, it is characterised in that: described
4. step is divided into following steps:
(4.1) obtaining step 2. in some channel and green channel histogram parameter, be expressed as histi；
(4.2) grayscale of the pixel unit in some channel is read one by one；
(4.3) by formula, the cumulative area of histogram is calculated, the formula is as follows:
Wherein, srFor cumulative area, i is grayscale variable, and r is natural number；
(4.4) according to step 3. in revised histogram parameter hist 'i, it obtains transfer function G (z):
Wherein, k is grayscale, and value range is 0~255；
(4.5) the inverse function k=G of transfer function in step (4.4) is found out-1；
(4.6) by more new formula, the more grayscale in new images channel completes Histogram Matching processing；
(4.7) step (4.1)~(4.6) are repeated, matching treatment is carried out to the other two channel in image；
(4.8) histogram in each channel after matching is obtained.
6. the low power image display driving method based on histogram modification as claimed in claim 5, it is characterised in that: described
Some channel is one in R, G, B three primary colours channel.
7. the low power image display driving method based on histogram modification as claimed in claim 5, it is characterised in that: described
Transfer function is to correct histogram cumulative area with the transformation relation of grayscale.
8. the low power image display driving method based on histogram modification as claimed in claim 5, it is characterised in that: described
More new formula in step (4.6) are as follows:
kr=G-1(sr)；
Wherein, krFor the updated value of grayscale, srFor cumulative area.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110277071A (en) * | 2019-08-01 | 2019-09-24 | 福州大学 | Electrowetting low power image display methods based on human-eye visual characteristic |
| CN110533605A (en) * | 2019-07-26 | 2019-12-03 | 遵义师范学院 | A kind of accurate noise scaling method |
| CN110767170A (en) * | 2019-11-05 | 2020-02-07 | 深圳市华星光电半导体显示技术有限公司 | Picture display method and picture display device |
Citations (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101075420A (en) * | 2006-05-19 | 2007-11-21 | 株式会社东芝 | Image display apparatus and image display method |
| US20080030814A1 (en) * | 2006-06-02 | 2008-02-07 | Seiko Epson Corporation Joint-Stock Company Of Japan | Image determining apparatus, image determining method, image enhancing apparatus, and image enhancing method |
| CN101719989A (en) * | 2009-11-30 | 2010-06-02 | 北京中星微电子有限公司 | Method and system for backlight compensation |
| CN102306380A (en) * | 2011-09-14 | 2012-01-04 | 山东省科学院海洋仪器仪表研究所 | Histogram debugging method of colored image and debugging system thereof |
| KR20120072476A (en) * | 2010-12-24 | 2012-07-04 | 고려대학교 산학협력단 | Apparatus and method for providing image |
| CN103295194A (en) * | 2013-05-15 | 2013-09-11 | 中山大学 | Brightness-controllable and detail-preservation tone mapping method |
| JP2014010776A (en) * | 2012-07-02 | 2014-01-20 | Canon Inc | Image processing apparatus, image processing method, and program |
| CN103810681A (en) * | 2014-03-12 | 2014-05-21 | 中国科学院上海高等研究院 | Low-power consumption contrast enhancing method |
| CN103826113A (en) * | 2014-03-12 | 2014-05-28 | 中国科学院上海高等研究院 | Color reducing method and device |
| CN104268843A (en) * | 2014-10-16 | 2015-01-07 | 桂林电子科技大学 | Image self-adaptation enhancing method based on histogram modification |
| CN105516674A (en) * | 2015-12-24 | 2016-04-20 | 潮州响石数码技术有限公司 | Monitoring device with HDR display function |
| CN105608685A (en) * | 2015-11-17 | 2016-05-25 | 江苏理工学院 | Secondary histogram equalization image enhancement method and system of histogram correction |
| CN105654438A (en) * | 2015-12-27 | 2016-06-08 | 西南技术物理研究所 | Gray scale image fitting enhancement method based on local histogram equalization |
| CN106296620A (en) * | 2016-08-14 | 2017-01-04 | 遵义师范学院 | A kind of color rendition method based on rectangular histogram translation |
| CN106531088A (en) * | 2016-12-06 | 2017-03-22 | 东南大学 | Control method for optimizing dynamic backlight of local area of liquid crystal display equipment |
| CN107680050A (en) * | 2017-09-14 | 2018-02-09 | 遵义师范学院 | A kind of color rendition method for AMOLED drivings |
| CN107767353A (en) * | 2017-12-04 | 2018-03-06 | 河南工业大学 | A kind of adapting to image defogging method based on definition evaluation |
| CN107918928A (en) * | 2017-11-10 | 2018-04-17 | 中国科学院上海高等研究院 | A kind of color rendition method |
-
2018
- 2018-07-20 CN CN201810801511.1A patent/CN109102471B/en active Active
Patent Citations (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101075420A (en) * | 2006-05-19 | 2007-11-21 | 株式会社东芝 | Image display apparatus and image display method |
| US20080030814A1 (en) * | 2006-06-02 | 2008-02-07 | Seiko Epson Corporation Joint-Stock Company Of Japan | Image determining apparatus, image determining method, image enhancing apparatus, and image enhancing method |
| CN101719989A (en) * | 2009-11-30 | 2010-06-02 | 北京中星微电子有限公司 | Method and system for backlight compensation |
| KR20120072476A (en) * | 2010-12-24 | 2012-07-04 | 고려대학교 산학협력단 | Apparatus and method for providing image |
| CN102306380A (en) * | 2011-09-14 | 2012-01-04 | 山东省科学院海洋仪器仪表研究所 | Histogram debugging method of colored image and debugging system thereof |
| JP2014010776A (en) * | 2012-07-02 | 2014-01-20 | Canon Inc | Image processing apparatus, image processing method, and program |
| CN103295194A (en) * | 2013-05-15 | 2013-09-11 | 中山大学 | Brightness-controllable and detail-preservation tone mapping method |
| CN103826113A (en) * | 2014-03-12 | 2014-05-28 | 中国科学院上海高等研究院 | Color reducing method and device |
| CN103810681A (en) * | 2014-03-12 | 2014-05-21 | 中国科学院上海高等研究院 | Low-power consumption contrast enhancing method |
| CN104268843A (en) * | 2014-10-16 | 2015-01-07 | 桂林电子科技大学 | Image self-adaptation enhancing method based on histogram modification |
| CN105608685A (en) * | 2015-11-17 | 2016-05-25 | 江苏理工学院 | Secondary histogram equalization image enhancement method and system of histogram correction |
| CN105516674A (en) * | 2015-12-24 | 2016-04-20 | 潮州响石数码技术有限公司 | Monitoring device with HDR display function |
| CN105654438A (en) * | 2015-12-27 | 2016-06-08 | 西南技术物理研究所 | Gray scale image fitting enhancement method based on local histogram equalization |
| CN106296620A (en) * | 2016-08-14 | 2017-01-04 | 遵义师范学院 | A kind of color rendition method based on rectangular histogram translation |
| CN106531088A (en) * | 2016-12-06 | 2017-03-22 | 东南大学 | Control method for optimizing dynamic backlight of local area of liquid crystal display equipment |
| CN107680050A (en) * | 2017-09-14 | 2018-02-09 | 遵义师范学院 | A kind of color rendition method for AMOLED drivings |
| CN107918928A (en) * | 2017-11-10 | 2018-04-17 | 中国科学院上海高等研究院 | A kind of color rendition method |
| CN107767353A (en) * | 2017-12-04 | 2018-03-06 | 河南工业大学 | A kind of adapting to image defogging method based on definition evaluation |
Non-Patent Citations (10)
| Title |
|---|
| CHENGQIANG HUANG 等: "A Low Power and Low Complexity Automatic White Balance Algorithm for AMOLED Driving Using Histogram Matching", 《JOURNAL OF DISPLAY TECHNOLOGY》 * |
| JING ZHANG 等: "An Image Stitching Algorithm Based on Histogram Matching and SIFT Algorithm", 《INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE》 * |
| SHANMUGALINGAM EASWARAN等: "Simplified Teaching and Understanding of Histogram Equalization in Digital Image Processing", 《AMERICAN SOCIETY FOR ENGINEERING EDUCATION》 * |
| 冯鲲鹏: "液晶显示区域动态背光系统优化的研究与实现", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
| 张懿等: "自适应图像直方图均衡算法", 《浙江大学学报(工学版)》 * |
| 张磊: "基于图像分析的液晶显示动态调光问题研究", 《中国博士学位论文全文数据库 信息科技辑》 * |
| 曾炜赫等: "动态直方图双向均衡化的图像增强方法", 《中国体视学与图像分析》 * |
| 沈国荣等: "基于矩形框判决的AMOLED低功耗图像增强算法研究及其FPGA实现", 《中国集成电路》 * |
| 王忠华等: "融合灰度变换和空间滤波的形态学红外图像增强算法", 《南昌工程学院学报》 * |
| 谭锐莘: "HDR到LDR图像的分段式对数映射算法", 《计算机应用》 * |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110533605A (en) * | 2019-07-26 | 2019-12-03 | 遵义师范学院 | A kind of accurate noise scaling method |
| CN110533605B (en) * | 2019-07-26 | 2023-06-02 | 遵义师范学院 | Accurate noise point calibration method |
| CN110277071A (en) * | 2019-08-01 | 2019-09-24 | 福州大学 | Electrowetting low power image display methods based on human-eye visual characteristic |
| CN110767170A (en) * | 2019-11-05 | 2020-02-07 | 深圳市华星光电半导体显示技术有限公司 | Picture display method and picture display device |
| CN110767170B (en) * | 2019-11-05 | 2020-11-10 | 深圳市华星光电半导体显示技术有限公司 | Picture display method and picture display device |
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