EP2056284A1 - Flüssigkristallanzeige und -vorrichtung - Google Patents

Flüssigkristallanzeige und -vorrichtung Download PDF

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Publication number
EP2056284A1
EP2056284A1 EP07021495A EP07021495A EP2056284A1 EP 2056284 A1 EP2056284 A1 EP 2056284A1 EP 07021495 A EP07021495 A EP 07021495A EP 07021495 A EP07021495 A EP 07021495A EP 2056284 A1 EP2056284 A1 EP 2056284A1
Authority
EP
European Patent Office
Prior art keywords
image
brightness
liquid crystal
segment
backlight
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
EP07021495A
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English (en)
French (fr)
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EP2056284B1 (de
Inventor
Mingsheng Qiao
Weidong Liu
Xingfeng Chen
Guopeng Huang
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hisense Electric Co Ltd
Hisense Group Co Ltd
Hisense Beijing Electric Co Ltd
Original Assignee
Hisense Electric Co Ltd
Hisense Group Co Ltd
Hisense Beijing Electric Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Hisense Electric Co Ltd, Hisense Group Co Ltd, Hisense Beijing Electric Co Ltd filed Critical Hisense Electric Co Ltd
Priority to DE602007007220T priority Critical patent/DE602007007220D1/de
Priority to AT07021495T priority patent/ATE471552T1/de
Priority to EP10151060A priority patent/EP2178075A1/de
Priority to EP07021495A priority patent/EP2056284B1/de
Priority to ES07021495T priority patent/ES2347700T3/es
Priority to DK07021495.2T priority patent/DK2056284T3/da
Publication of EP2056284A1 publication Critical patent/EP2056284A1/de
Application granted granted Critical
Publication of EP2056284B1 publication Critical patent/EP2056284B1/de
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Anticipated expiration legal-status Critical

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    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G3/00—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes
    • G09G3/20—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters
    • G09G3/34—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters by control of light from an independent source
    • G09G3/3406—Control of illumination source
    • G09G3/342—Control of illumination source using several illumination sources separately controlled corresponding to different display panel areas, e.g. along one dimension such as lines
    • G09G3/3426—Control of illumination source using several illumination sources separately controlled corresponding to different display panel areas, e.g. along one dimension such as lines the different display panel areas being distributed in two dimensions, e.g. matrix
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G2320/00—Control of display operating conditions
    • G09G2320/06—Adjustment of display parameters
    • G09G2320/0626—Adjustment of display parameters for control of overall brightness
    • G09G2320/0646—Modulation of illumination source brightness and image signal correlated to each other
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G2360/00—Aspects of the architecture of display systems
    • G09G2360/16—Calculation or use of calculated indices related to luminance levels in display data

Definitions

  • the present invention relates to a display method and the corresponding display apparatuses, especially to a liquid crystal display method and the corresponding liquid crystal display apparatuses.
  • the liquid crystal display (LCD) of a liquid crystal display device cannot radiate by itself, however it belongs to backlight display device.
  • the LCD device displays or recovers the image by the fine particles, which are uniformly arranged in the screen, "interdicting" and "turning on” the light emitted by the backlight.
  • the backlight works as long as the LCD is switched on, even if the displayed image is completely black. That is, the backlight of a LCD television radiates all the time.
  • the lightness of the backlight should be strong enough to make the lightness of liquid crystal TV high enough to perfectly display the image, which not only shorten the lifetime of the backlight of the LCD device, but also easily cause asthenopia of the watcher.
  • the contrast and color saturation of the displayed image will be decreased if the lightness of the backlight decreases.
  • U.S. prior application US7113164 disclosed a technology scheme for adjusting the lightness of the LED backlight area. Although this technology scheme solves the problem of contrast and saturation of LCD to some extent, but it also has some deficiencies: since the division of the backlight is fixed and don't change, only the lightness of the pixels in fixed segments can be adjusted, and adjustment can not be done according to changes in different displayed image, therefore it can not meet the display requirement of image which constantly changes.
  • the present invention provides a LCD method, which can adjust the backlight segments according to the difference of the displaying images to satisfy the display requirement of the image which constantly changes.
  • the present invention provides a liquid crystal display method comprising:
  • an LCD apparatus comprising:
  • the LCD method of the present invention divides the image and backlight according to the image signal, and adjusts the brightness of the divided image segment and backlight segment to not only decrease the power consumption of LCD, but also increase the contrast of the image signal, thereby improving the display effect of LCD.
  • the LCD apparatus comprises an image input interface 110, an image processing device 120, an LCD screen 130 and a backlight 140, and wherein the image processing device 120 comprises an image analysis unit 121, a division unit 122, a liquid crystal interface unit 123, a backlight driver 124 and a CPU 125.
  • the image processing device 120 may consist of several separated components or they are integrated into a single chip to become one-body architecture.
  • the LCD apparatuses can be LCD TV, LCD, palmtop computer or cell phone and so on.
  • the working process of the apparatuses is as follows.
  • the image input interface 110 receives image signal and sends it to the image processing device 120.
  • the image signal can be either a digital signal or an analog signal, such as RGB, CVSB or S-video signal. If it is an analog signal, it will firstly be A/D converted by the image input interface 110 to become a digital signal, and then be sent to the image processing device 120.
  • RGB signal analysis will be described as an example of image processing device 120.
  • One channel of RGB signal received by the image processing device 120 will be sent to the image analysis unit 121 for analyzing.
  • the analysis of image signal can be done in many ways; it can analyze the image signal directly in spatial domain or in frequency domain. For example, directly calculate the brightness of the image signal via methods such as Fourier transform, Laplace transform, etc., or analyze the spectrum of the image signal via other methods.
  • the image analysis unit 121 transforms the received a single frame of RGB signal to YUV formatted digital signal to extract the brightness signal in the RGB signal; therefore, this procedure can be replaced by extracting the brightness information of the RGB signal.
  • YUV signal is usually used as image signal format, wherein "Y” represents brightness, while “U” and “V” represent chroma, which describe the image color and saturation to indicate the color of the pixel.
  • the brightness is constructed by RGB input signal by overlapping the specific part of the RGB. Chroma defines hue and saturation, which are represented respectively by Cr and Cb.
  • the image analysis unit 121 divides the whole image into several segments, wherein the segments can be rectangle, triangle, hexagon, rhomb, cross or other irregular graphics, and the shape and size of all segments can be the same or different.
  • the image analysis unit 121 divides the image into M rectangle segments with the same size, wherein M is a natural number, whose value can be determined by the size of the image signal.
  • M is a natural number, whose value can be determined by the size of the image signal.
  • M is a natural number, whose value can be determined by the size of the image signal.
  • Each divided rectangle segments comprises several pixel dots of the image; each pixel has the corresponding YUV information. If the number of pixel dots included in each rectangle segment is A, then the number of Y-components included in each rectangle segment is A.
  • the image analysis unit 121 can calculate or statistics the brightness information of each rectangle segment. For illustration, the brightness information of each rectangle segment is indicated as y1, y2, ...,yM respectively.
  • the brightness information can be the maximal brightness, average brightness, the difference between the maximal brightness and the minimal brightness or other brightness information of each rectangle segment.
  • the calculation and statistics of the brightness information can be performed in many ways, which will not be illustrated in detail here.
  • the image analysis unit 121 sends the brightness analysis result to the division unit 122, which will divides the image according to the analysis result comprising the brightness information of each rectangle segment.
  • the image dividing is actually a procedure of combination, namely combining several rectangle segments according to the brightness information of each rectangular segment, it comprises that several rectangle segments, whose brightness information y1, y2, Vietnamese, yM meet a certain condition are combined into an image segment according to a certain division rule; the rectangular segments which meet another condition are combined into another image segment, and the like. Until all rectangular segments are combined into their corresponding image segments.
  • the combined image segments are indicated as P1, P2,..., Px, wherein x is the number of segments, whose maximal value is M. Generally, x is larger, the effect of the embodiment is better, and the corresponding process will be more complex. If the number of segments is 4, then the divided image may be shown as Figure 2(b) , the divided image can be continuous or discontinuous.
  • supposing the predetermined rule is: dividing the image according to the maximal brightness, and the maximum brightness is divided into 4 grades of 0-63, 64-127, 128-191 and 192-255, each grade corresponds to an image segment.
  • the working process of the division unit 122 is as follows: firstly the division unit 122 receives the brightness information of each rectangular segment.
  • the division unit 122 compares the maximal brightness of each rectangular segment with the brightness grade in the division rule: that is ,the rectangular segments, whose maximal brightness is in the range of 0-63, are combined into the first image segment which is indicated as P1; those rectangular segments, whose maximal brightness is in the range of 64-127, are combined into the second image segment, which is indicated as P2; the rectangular segments, whose maximal brightness is in the range of 128-191, are combined into the third image segment, which is indicated as P3; the rectangular segments, whose maximal brightness is in the range of 192-255, are combined into the fourth image segment, which is indicated as P4. Finally, the division unit 122 sends the relative information of P1, P2, P3 and P4 to CPU 125.
  • the process according to the dynamic division rule comprises a further step of determining division rule after the division unit 122 receives the brightness analysis result from the image analysis unit 121.
  • the difference between the process according to the dynamic division rule and the process according to the predetermined division rule is determining dividing threshold. For division according to the maximal brightness; in division rule of the previous example of predetermined division rule it uses three constant thresholds 63, 127 and 191 to divide the whole brightness area into 4 segments with the essential same size, while in dynamic division rule it will determine similar thresholds according to the image itself.
  • one method is determining three thresholds by calculating the weighted average brightness of the brightness histogram, and the procedure comprises as follows: calculating the brightness histogram of the image; calculating the weighted average brightness of the histogram and indicating it as Ya1; calculating the weighted average brightness of the image whose brightness is in the range of 0-Ya1 and indicating it as Ya2; calculating the weighted average brightness of the image whose brightness is in the range of Ya1-255 and indicating it as Ya3.
  • Such three calculated weighted average brightness can be used to determine three thresholds for the dynamic division rule, and the division rule can be determined as: dividing according to the maximal brightness and the range of maximal brightness is divided into 4 grades as 0-Ya2, Ya2-Ya1, Ya1-Ya3 and Ya3-255. Each grade corresponds to an image segment. Then the division unit 122 compares the maximal brightness of each rectangular segment with the brightness grade in the division rule, and then the rectangular segments, whose maximal brightness is in the ranges of 0-Ya2, Ya2-Ya1, Ya1-Ya3 and Ya3-255, are respectively combined into four image segments.
  • histogram represents the statistics relationship between each brightness and its occurring probability
  • the size of the segments determined by calculating the weighted average brightness of the histogram will be close to each other. For example, For whole image whose picture is relatively dark, since the occurring probability of the low brightness is relatively high, for the segment divided according to the aforesaid predetermined rule, the number of the rectangular segments whose maximal brightness in the ranges of 0-63 and 64-127 will be relatively bigger, the corresponding area of P1 and P2 will be larger, while the number of rectangular segments, whose maximal brightness is in the ranges of 128-191 and 192-255 will be smaller, the corresponding area of P1 and P2 will relatively smaller. Yet the area of the four image segments divided according to the aforesaid dynamic division rule will be close to each other.
  • the division unit 122 divides the backlight according to the image division result.
  • the divided backlight segments are indicated as B1, B2,..., Bx (x represents the number of the segments).
  • the backlight segments correspond to the image segments, and the division methods of backlight and image are totally same.
  • the shape, size, and position of B1 and P1 are same. It should be noted that terms of division, dividing mentioned in the present invention should be understood as symbolically dividing of the image or backlight, while not as dividing in physics or circuit.
  • the CPU 125 determines the brightness adjustment rule of each backlight segment according to the division result and sends the division result and the corresponding adjustment rule of each backlight segment to the liquid crystal interface unit 123 and the backlight driver 124.
  • the CPU 125 of the present invention calculate the brightness normalized coefficient of each image segment according to the maximal brightness of each image segment to determine the adjustment rule of each backlight segment.
  • the working process of CPU 125 will be illustrated by taking the backlight segment B 1 for example: the corresponding image segment of the backlight segment B 1 is P1, suppose the maximal brightness of the image in the image segment P1 is Lp1, while the maximal brightness of the brightness signal is defined as Lmax, then Lp1 to Lmax ratio can be calculated to determine a numerical value, which can be used as the brightness normalized coefficient of the backlight segment B1.
  • the value of Lmax is generally 255, and the calculation of brightness normalized coefficient is not limited into this calculation method.
  • CPU 125 calculates the brightness normalized coefficients of B2, B3,...,Bx and indicates them as u2, u3,..., ux. After that, CPU 125 sends the brightness normalized coefficient of each backlight segment to the backlight driver 124 and the liquid crystal interface unit 123.
  • the backlight driver 124 generates the driving signal of each backlight segment according to the brightness adjustment rule determined by CPU 125 for the backlight 140.
  • the common backlight driver which can not be adjusted according to the difference of the displaying picture, usually work with the maximal brightness, and the driving signal of each backlight from the corresponding backlight driver is the same.
  • the backlight driver 124 of the present invention can send different driving signals to different backlights according to different backlight segments.
  • the working process of the backlight driver 124 will be illustrated by taking the brightness adjustment rule determined by the aforesaid brightness normalized coefficient for example. It comprises: after the backlight driver 124 receives the brightness normalized coefficient of each backlight segment, the driving signal of each backlight segment is adjusted according to the brightness normalized coefficient of each backlight segment.
  • the backlight driver 124 uses PWM (pulse width modulation) signal to drive the backlight, the duty cycle of the corresponding PWM signal should be adjusted.
  • the duty cycle of the corresponding PWM signal of iB is Db
  • the backlight driver 124 adjusts the duty cycle of the driving signal of the backlight segment B1 to Db ⁇ u1.
  • the backlight driver 124 adjust the driving signal of each segment B2,B3,...,Bx by the same method.
  • the backlight driver 124 sends the adjusted driving signal of each segment to the backlight 140 to control the brightness of the backlight 140.
  • the backlight 140 After the backlight 140 receives the adjusted driving signal, it transforms the driving signal into the corresponding driving current and sends it to the backlight LED of the corresponding backlight segment. Since the driving signals of the corresponding backlight segments are different, the brightness of each segment in the backlight 140 will be correspondingly different. Since the value of brightness normalized coefficient is usually less than 1 (the maximal value is 1), the brightness of the backlight in each segment will less than the brightness Lb when the backlight work in the normal condition. Therefore, the LCD device of the present invention can effectively decrease the power consumption of the backlight.
  • the liquid crystal interface unit 123 adjusts the image signal itself according to brightness adjustment rule determined by the CPU 125 and the division result.
  • the working process of the liquid crystal interface unit 123 will be illustrated by still taking the brightness adjustment rule determined by the aforesaid brightness normalized coefficient for example.
  • the liquid crystal interface unit 123 adjusts the image brightness of P1, and dividing the brightness of all pixels in the image segment P by u1 to obtain new brightness information.
  • image brightness of other each image segments is similarly adjusted by the liquid crystal interface unit 123.
  • the liquid crystal interface unit 123 transforms the adjusted image signal into the signal conforming to LCD screen interface specification and sends it to LCD screen 130 for displaying.
  • the liquid crystal interface unit 123 can refer a configurable two-dimensional reference table to perform the chroma optimizing process for the image signal in each image segment.
  • the values of the- parameters in the aforesaid configurable two-dimensional reference table are experimental values obtained by a lot of subjective evaluating.
  • each functional unit in the image processing device 120 is only defined according to its function for illustration. Actually, these units can be combined into a chip or a software program.
  • the backlight 140 can also be a component of LCD screen 130.
  • Figure 3 is a schematic diagram of the second embodiment of the present invention. It is different from Figure 1 that the image processing device 120 of LCD apparatuses of the second embodiment still comprises a memory 126.
  • the memory 126 is used to store the data process result of each unit in the image processing device 120; therefore, each unit of the image processing device 120 can perform the corresponding process through calling the stored data in the memory 126.
  • the schematic diagram of the third embodiment of the present invention is a schematic diagram of a LCD method.
  • step 410 receives the image signal; wherein the image signal can be either digital signal or analog signal. If it is a analog signal, it is subjected to A/D convert to become digital signal.
  • step 420 divides the whole image into several segments, wherein the several segments can be several rectangle, other several kinds of shapes, or even combination of several kinds of graph. And the sizes of all segments can be same or different. Preferably, the present invention divides the image into rectangles with the same size.
  • step 430 analyze the brightness of the image signal in each segment by various methods, such as calculating the average brightness of each segment, the difference of the maximum brightness and the minimum brightness of each segment, or the maximum brightness of each segment.
  • calculating the average brightness of each segment for example, aforesaid each rectangular segment corresponds to a brightness average value, this value can be mathematic average or weighted average, and the weighted average value can more accurately represent the brightness information of each segment.
  • step 440 several segments are combined according to the analysis method and analysis result obtained from step 430.
  • the aforesaid several brightness values are divided into several grades, the rectangular segments whose brightness average values are in the same range are combined into a segments, therefore several image segments are formed, so the procedure of image division can be finished.
  • the classification of grades using constant brightness value is easy to perform, but for most of image signals, this classification is not the perfect one.
  • the method of the present invention groups all segments according to the brightness histogram.
  • the advantage of using the brightness histogram to divide is that more levels can be divided for those images whose brightness is more concentrated (such as the whole picture is relatively dark or light).
  • step 450 generally the backlight segments are same as the image segments for easy handling.
  • the adjustment for the brightness of the backlights in different backlight segments may by performed in the following steps it comprises: calculating the brightness normalized coefficient of each backlight segment; generating the driving signal according to the brightness normalized coefficient.
  • the calculation of the brightness normalized coefficient is illustrated above, and is omitted here.
  • a driving signal is generated for the corresponding backlight segment.
  • the driving signal can be a driving current or driving voltage. Take driving current for example, the strength of the driving current equals to the multiplication of the preliminary current by the brightness normalized coefficient, and the preliminary current represents the maximum working current of the backlight segment.
  • the decrease of the backlight driving current can effectively decrease the power consumption of LCD apparatuses.
  • Step 470 adjusts the image in each image segment. Since step 460 adjusts the brightness of the backlight segments, in order to properly display the original image, the image signal must be adjusted. Since the brightness of the backlight segment is decreased, the image brightness of the corresponding image segment should increase. Suppose the maximum brightness of an image segment is 50, and the maximum brightness after adjustment is 255, then the brightness range of the image segment changes from the original 0-50 to 0-255, and the contrast of the image signal is largely increased. Therefore, the problem of low contrast and unclear levels of the present LCD in low brightness can be solved. Besides just mathematical operation for the brightness of the corresponding image, there are many methods for adjusting the image signal in the image segment, such as image enhancement algorithm of histogram equalization, which can effectively increases the information amount of image and can perfectly display the image signal.
  • the schematic diagram of the fourth embodiment of the present invention is the schematic diagram of another LCD method.
  • the embodiment shown in Figure 5 comprises a further step 520 of transforming the image signal to YUV signal.
  • steps 530, 540, 550, 560 and 570 Please refer to the relative steps in Figure 4 for steps 530, 540, 550, 560 and 570, the difference between them is that the image signal should be firstly formatively transformed and the transformed YUV signal directly comprises the brightness information of the image signal. During the procedure relating to brightness analysis and calculation, the steps in this embodiment are much more easily to be handled than the relative steps in Figure 2 .
  • the embodiment shown in Figure 5 comprises a further step 580 of optimizing the chroma of the YUV signal in each image segment.
  • Step 580 optimizes the chroma signal of the YUV signal.
  • the chroma of the image signal is optimally processed by referring a configurable two-dimensional reference table.
  • the parameter values in the configurable two-dimensional reference table are experimental values obtained by a lot of subjective evaluating.
  • the schematic diagram of the fifth embodiment of the present invention is the schematic diagram of another LCD method.
  • the LCD method of this embodiment uses the edge detection method to analyze the image and divides the image according to the edge detection result.
  • the LCD method of the present embodiment comprises: step 620 to process edge detection of the image signal and step 630 to divide the image into at least two image segments according to the edge detection result.
  • edge detection There are many methods for edge detection of the image, and the typical edge detection is based on the original image, and each pixel of the image detects its gray jump change in a certain scopes.
  • the change rule of the first order or second order directional derivative near the edge is used to detect the edge.
  • edge detection methods comprises: difference edge detection, gradient edge detection, Roberts edge detection operator, Sobel edge detection operator, Prewitt edge detection operator and Laplace edge detection operator.
  • Step 620 can be realized by using any one of them. Take difference edge detection for example, the first order derivative operator of the image pixel gray can be used to get the high value where the gray rapidly changes. Its value at a certain point represents the "edge intensity" of that point; threshold can be set for these values to definitely detect the edge element in the image.
  • Step 630 connects each edge element to form a closed region according to the result of the edge detection, and the region forms a segment of the image.
  • the area of some formed image segments maybe too small, in order to easily handle, step 630 can set a certain rule to combine the image segment comprising fewer pixels with certain adjacent image segment to form a new image segment.
  • steps 640, 650 and 660 can be realized with reference to the aforesaid methods.

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Computer Hardware Design (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Liquid Crystal Display Device Control (AREA)
  • Control Of Indicators Other Than Cathode Ray Tubes (AREA)
  • Liquid Crystal (AREA)
  • Liquid Crystal Substances (AREA)
  • Indicating Measured Values (AREA)
EP07021495A 2007-11-05 2007-11-05 Flüssigkristallanzeige und -vorrichtung Not-in-force EP2056284B1 (de)

Priority Applications (6)

Application Number Priority Date Filing Date Title
DE602007007220T DE602007007220D1 (de) 2007-11-05 2007-11-05 Flüssigkristallanzeige und -vorrichtung
AT07021495T ATE471552T1 (de) 2007-11-05 2007-11-05 Flüssigkristallanzeige und -vorrichtung
EP10151060A EP2178075A1 (de) 2007-11-05 2007-11-05 Flüssigkristallanzeigeverfahren und -vorrichtung
EP07021495A EP2056284B1 (de) 2007-11-05 2007-11-05 Flüssigkristallanzeige und -vorrichtung
ES07021495T ES2347700T3 (es) 2007-11-05 2007-11-05 Procedimiento y aparato de visualizacion de cristal liquido.
DK07021495.2T DK2056284T3 (da) 2007-11-05 2007-11-05 Fremgangsmåde og indretning til flydende krystal display

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EP07021495A EP2056284B1 (de) 2007-11-05 2007-11-05 Flüssigkristallanzeige und -vorrichtung

Related Child Applications (1)

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EP10151060.0 Division-Into 2010-01-19

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EP2056284B1 EP2056284B1 (de) 2010-06-16

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AT (1) ATE471552T1 (de)
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ES (1) ES2347700T3 (de)

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CN108039152B (zh) * 2017-12-14 2020-11-13 深圳Tcl新技术有限公司 背光驱动控制方法、设备及计算机可读存储介质

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CN101673521A (zh) * 2009-08-18 2010-03-17 北京巨数数字技术开发有限公司 一种液晶显示装置和数字图像信号处理的方法
CN101673521B (zh) * 2009-08-18 2014-01-01 北京巨数数字技术开发有限公司 一种液晶显示装置和数字图像信号处理的方法
CN102713734A (zh) * 2009-12-21 2012-10-03 夏普株式会社 补偿lcd显示系统和方法
CN102713734B (zh) * 2009-12-21 2015-08-26 夏普株式会社 补偿lcd显示系统和方法
CN113643651A (zh) * 2021-07-13 2021-11-12 深圳市洲明科技股份有限公司 一种图像增强方法、装置、计算机设备和存储介质

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EP2056284B1 (de) 2010-06-16
DK2056284T3 (da) 2010-10-11

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