WO2015139219A1 - 一种液晶显示装置的驱动方法和一种液晶显示装置 - Google Patents

一种液晶显示装置的驱动方法和一种液晶显示装置 Download PDF

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Publication number
WO2015139219A1
WO2015139219A1 PCT/CN2014/073666 CN2014073666W WO2015139219A1 WO 2015139219 A1 WO2015139219 A1 WO 2015139219A1 CN 2014073666 W CN2014073666 W CN 2014073666W WO 2015139219 A1 WO2015139219 A1 WO 2015139219A1
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Prior art keywords
difference value
image
eye image
display device
liquid crystal
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PCT/CN2014/073666
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English (en)
French (fr)
Inventor
陈伟
谭小平
谢剑军
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TCL China Star Optoelectronics Technology Co Ltd
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Shenzhen China Star Optoelectronics Technology Co Ltd
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Priority to US14/360,941 priority Critical patent/US9613575B2/en
Publication of WO2015139219A1 publication Critical patent/WO2015139219A1/zh
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
    • G09G3/36—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters by control of light from an independent source using liquid crystals
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N13/00—Stereoscopic video systems; Multi-view video systems; Details thereof
    • H04N13/30—Image reproducers
    • 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
    • G09G3/001—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes using specific devices not provided for in groups G09G3/02 - G09G3/36, e.g. using an intermediate record carrier such as a film slide; Projection systems; Display of non-alphanumerical information, solely or in combination with alphanumerical information, e.g. digital display on projected diapositive as background
    • G09G3/003—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes using specific devices not provided for in groups G09G3/02 - G09G3/36, e.g. using an intermediate record carrier such as a film slide; Projection systems; Display of non-alphanumerical information, solely or in combination with alphanumerical information, e.g. digital display on projected diapositive as background to produce spatial visual effects
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N13/00—Stereoscopic video systems; Multi-view video systems; Details thereof
    • H04N2013/0074—Stereoscopic image analysis

Definitions

  • the present invention relates to the field of video processing technology, and more particularly to a driving method of a liquid crystal display device and a liquid crystal display device.
  • the source format usually includes a left and right split format, an upper and lower split format, an interlaced format, a split format, and a normal 2D video format. This requires the user to determine the 3D source format and then manually set it, due to the user's knowledge of the corresponding liquid crystal display device.
  • the lack of users makes the user do not know how to set the correct video format. Even if you know how to set it up, you may need to make multiple settings due to the lack of understanding of the video format, which is inconvenient for the user.
  • the technical problem to be solved by the present invention is to provide a driving method of a liquid crystal display device and a liquid crystal display device which are convenient for a user to enjoy a 3D video effect.
  • a driving method of a liquid crystal display device comprising the steps of:
  • A1 extracting an image frame in the video
  • ⁇ 2 The image frame is directly split into a left eye image and a right eye image according to a plurality of image arrangement manners; the color data of the left eye image and the right eye image are compared, and the difference is calculated according to the comparison result.
  • A3 Select an image arrangement manner corresponding to the maximum similarity, that is, an image arrangement manner of the one image frame, and drive the liquid crystal display device as a 3D source format of the video.
  • the color data that is, RGB three primary color data of each pixel is encoded, the similarity
  • the RGB three primary color data encoding of the pixel is directly used for comparison calculation.
  • the pixel-based RGB three primary color data encoding is calculated, and the similarity between the left eye image and the right eye image can be more accurately calculated.
  • the calculation of the similarity firstly calculates the pixel difference value of each pixel one by one, and then calculates the overall difference value of the entire frame.
  • the calculation of the pixel difference value includes an exclusive OR algorithm, and the formula of the exclusive OR algorithm is as follows:
  • P ( x, y ) XOR ( left ( x, y ), right ( x, y ) ), where left ( x, y ) is the RGB three primary color data of the pixel with coordinates (x, y ) in the left eye image. Coding, right ( x,y ) is the RGB three primary color data encoding the pixel with the coordinates (x, y ) in the right eye image, P ( x, y ) is the coordinates of the left eye image and the right eye image (x, y ) a pixel difference value between two pixels;
  • the XOR algorithm that is, XOR each bit of the RGB three primary color data of each group of pixels corresponding to the position of the left eye image and the right eye image, and outputs 0 in the same number of bits. If the value is different, the output is 1, and then the XOR result of each digit is added to obtain the pixel difference value.
  • the pixel-based RGB three primary color data encoding is calculated, and even if each bit number of the RGB three primary color data is separately compared, the similarity between the left eye image and the right eye image can be more accurately calculated.
  • the calculation of the total difference value includes an accumulation algorithm, and the formula of the accumulation algorithm is as follows:
  • KX SUM ⁇ sum[P ( x,y ) ] ⁇ ;
  • KX is the overall difference value
  • P ( x, y ) represents the pixel difference value between the two corresponding pixels of the left eye image and the right eye image (x, y ) coordinates
  • sum ( P ) represents each row or each The sum of the cumulative values of the pixel differences of a column of pixels
  • SUM [sum ( P ) ] represents the sum of all the pixel difference values.
  • the image arrangement manner includes at least two of a left and right split format, an upper and lower split format, an interlaced format, and a perforated format, and is split into a left eye image and a right eye image according to a plurality of image arrangement manners, and according to the left eye And all the pixel difference values of the image and the right eye image are obtained by an accumulation algorithm, and at least two of the first total difference value, the second total difference value, the third overall difference value, and the fourth overall difference value are respectively obtained, and the first comparison is performed.
  • the body difference value obtains the smallest overall difference value, and the image arrangement mode with the smallest overall difference value is the image arrangement mode with the largest similarity, that is, the image arrangement mode of the image frame, and then the corresponding image can be obtained.
  • the image arrangement corresponding to the minimum overall difference value that is, the image arrangement mode with the largest similarity.
  • the overall difference value is set with a threshold, and if the minimum overall difference value is less than the threshold, the image source corresponding to the image arrangement with the smallest overall difference value is used as the 3D source format of the video.
  • Driving the liquid crystal display device if the minimum overall difference value is equal to or greater than the threshold value, indicating that there is an error in the similarity judgment, starting from A1, a new image frame is extracted and re-detected. Setting the threshold ensures that when a similar error occurs in the calculation of the similarity, the driving process of the entire liquid crystal display device can know and re-extract the image frame, and perform the detection of the 3D source format again.
  • a liquid crystal display device comprising an extracting unit for extracting an image frame from a video, a splitting unit for splitting the image frame into a left eye image and a right eye image, and a left eye image and A similarity detecting unit for right eye image similarity calculation and a slice source format output unit for controlling output of a slice source format control signal corresponding to the similarity detection result.
  • the similarity detecting unit includes an identifying subunit and a difference value calculating subunit; the identifying subunit is configured to identify and collect RGB three primary color data codes of each group of pixels in a corresponding position of the left eye image and the right eye image, And the difference value calculation sub-unit is configured to encode the pixel difference values of each group of pixels according to the RGB three primary color data of each group of pixels, and accumulate the pixel difference values to obtain a left eye image and a right eye image.
  • the similarity detecting unit further includes a similarity determining subunit, the similarity determining subunit including a threshold, if the minimum overall difference value is less than the threshold And outputting, by the slice source format output unit, a control signal for controlling a 3D source format corresponding to the minimum overall difference value; if the minimum overall difference value is equal to or greater than the threshold, the flow is returned to the extraction unit , re-execute the detection.
  • the comparison of similarity based on RGB three primary color data encoding can improve the accuracy; and setting the threshold can ensure that when there is a major error in the calculation of the similarity, the liquid crystal display device can know and re-detect the 3D source format.
  • the extracting unit, the splitting unit, the similarity detecting unit, and the source format output unit are all disposed in a DDR module of the TCON chip provided by the liquid crystal display device;
  • the splitting unit includes a left and right splitting molecule Unit, upper and lower molecular units, interlaced molecular units, and interlaced molecular units. It is only necessary to use the DDR module in the TCON chip that is provided in the liquid crystal display device to complete the similarity calculation and drive the liquid crystal display device without additional adding other devices, while automatically detecting the 3D source format. , does not increase production costs.
  • the present invention splits the extracted image frames into a left eye image and a right eye image according to a plurality of image arrangement modes, and performs similarity comparison based on color data of the left eye image and the right eye image to determine a 3D source.
  • the format further drives the liquid crystal display device; the driving method can quickly and automatically recognize the source format of the 3D video when playing the 3D video, without the user's own judgment and manual setting, which brings convenience to the user.
  • FIG. 1 is a basic flow chart of a driving method of a liquid crystal display device of the present invention
  • FIG. 2 is a flow chart showing an implementation of a driving method of a liquid crystal display device of the present invention
  • FIG. 3 is a schematic diagram of splitting of an image arrangement manner into a left and right split format
  • FIG. 4 is a schematic diagram of splitting of an image arrangement manner into an upper and lower division format
  • FIG. 5 is a schematic diagram of splitting of an image arrangement manner into an interlaced format
  • FIG. 6 is a schematic diagram of splitting of an image arrangement manner into a perforated format
  • Figure 7 is a structural view of a related structure of a liquid crystal display device of the present invention.
  • Figure 8 is a related structural view of a liquid crystal display device of the present invention.
  • FIG. 9 is an operation diagram of an interlaced format insertion black driving a liquid crystal display device
  • FIG. 10 is a black-and-white operation diagram for driving a left-right split format of a liquid crystal display device
  • Fig. 11 is a black operation diagram of the upper and lower division format driving the liquid crystal display device.
  • FIG. 1 is a basic flowchart of a driving method of a liquid crystal display device according to the present invention, the method comprising the steps of:
  • A1 extracting an image frame in the video
  • A2 splitting the image frame into a left eye image and a right eye image according to a plurality of image arrangement manners respectively; comparing color data of the left eye image and the right eye image, respectively calculating different colors according to the comparison result The similarity of the image arrangement of the left eye image and the right eye image;
  • A3 Select an image arrangement manner corresponding to the maximum similarity, that is, an image arrangement manner of the one image frame, and drive the liquid crystal display device as a 3D source format of the video.
  • Extracting an image frame in the video as described above may be random, or it may be to regularly extract an image frame from the video.
  • the present invention splits the extracted image frames into a left eye image and a right eye image according to a plurality of image arrangement modes, and performs similarity comparison based on color data of the left eye image and the right eye image to determine a 3D source.
  • the driving method can quickly and automatically recognize and output the source format corresponding to the 3D video when the 3D video is played, without the user's own judgment and manual setting, which brings convenience to the user.
  • Embodiment 1
  • FIG. 2 is a flow chart showing an implementation of a driving method of a liquid crystal display device according to the present invention, the method comprising the steps of:
  • the extracted image frame is directly split into a left eye image and a right eye image according to different image arrangement manners; respectively, according to the color data of each group of pixels corresponding to the left eye image and the right eye image Pixel difference value; performing an accumulation operation according to the pixel difference value of each group of pixels, respectively obtaining an overall difference value corresponding to at least two of the left and right split format, the upper and lower split format, the interlaced format, and the interlaced format, that is, the first overall difference Value Kl, second overall difference value ⁇ 2, third overall difference value ⁇ 3, At least two of the fourth overall difference values K4;
  • ⁇ 3 comparing the first overall difference value K1, the second overall difference value ⁇ 2, the third overall difference value ⁇ 3, and the fourth overall difference value ⁇ 4 to obtain a minimum overall difference value Kmin, corresponding to the image arrangement of the minimum overall difference value Kmin, ie The source format with the greatest similarity;
  • step B4 Compare the minimum overall difference value Kmin with the preset threshold Z. If the minimum overall difference value Kmin > Z, then return to step B1 and re-execute the operation. If the minimum overall difference value Kmin ⁇ Z, perform step B5:
  • a film source format corresponding to the image arrangement mode in which the minimum overall difference value Kmin is the smallest is obtained, and the liquid crystal display device is driven as the 3D source format of the video.
  • the image arrangement manner in the step B2 as described above includes a left-right split format, an upper-and-left split format, an interlaced format, and a per-column format, and the schematic diagrams of splitting the left-eye image FL and the right-eye image FR according to the four formats are as shown in FIG. 3 to FIG. 3 is a schematic diagram of splitting of the left and right split formats, FIG. 4 is a split view of the upper and lower split formats, FIG. 5 is a split view of the interlaced format, and FIG. 6 is a split view of the split format; According to the format of the source format supported by the liquid crystal display device, it is also possible to additionally support a split format such as a frame continuous format or only a part of the split format.
  • the calculation of the pixel difference value in the step B2 as described above is a component of the similarity calculation, and the applied algorithm is an exclusive OR algorithm; wherein, the color data is the RGB three primary color data of the pixel, and the pixel difference value is based on the left eye.
  • the image and the right eye image are respectively XORed by the respective digits of the RGB three primary color data corresponding to the pixel, and the XOR algorithm is as follows:
  • Pixel difference value P ( x, y ) XOR ( left ( x, y ), right ( x, y ) );
  • left ( x, y ), right ( x, y ) corresponds to two corresponding pixels of the left eye image and the right eye image ( x, y ) coordinates; when the values of the corresponding digits are the same, the output 0; When the values at the corresponding positions are different, the output 1; Finally, the XOR result of each bit is accumulated, that is, the pixel difference value P of each pixel.
  • the exclusive-OR algorithm is used to encode the 24-bit RGB three primary color data. When the data of a pixel in the left-eye image is encoded as "FFFFFF" and the data of the pixel corresponding to the right-eye image is encoded as "FFFFF0", then each bit is encoded.
  • the number is XORed separately to get six XOR results (if XOR is used for binary, it is 24 XOR As a result, that is, "000001", the pixel difference value of the pixel is 1; of course, the algorithm is not limited to the 24-bit RGB three primary color data encoding, nor is it limited to the binary format.
  • the calculation of the overall difference value of the step B2 as described above is a component of the similarity calculation, and the applied algorithm is an accumulation algorithm; the calculation of the overall difference value corresponds to the left and right division format, the upper and lower division format, the interlaced format, and the image arrangement manner. At least two of the interlaced formats obtain at least two of a first overall difference value K1, a second overall difference value ⁇ 2, a third overall difference value ⁇ 3, and a fourth overall difference value ⁇ 4; the overall difference value is a pixel difference
  • the value is obtained by accumulating the accumulation algorithm, and the accumulation algorithm is represented by
  • KX SUM ⁇ sum[P ( x,y ) ] ⁇ ;
  • P (x,y) represents the left eye image and the right eye image (x,y) coordinates between the two corresponding pixels
  • the pixel difference value, sum ( P ) represents the sum of the pixel difference values of each row or column of pixels, and SUM [sum ( P ) ] represents the sum of all the pixel difference values.
  • the splitting of the left eye image and the right eye image, and the calculation of the pixel difference value and the overall difference value between the left and right eye images may be first divided and then calculated according to a plurality of image arrangement manners. It can also be split and calculated in an image arrangement, and the various arrangements are calculated separately by recycling.
  • the threshold Z of the step B4 as described above is preset, since there may be a failure or incomplete extraction of the frame, and other problems that may interfere with the similarity calculation, a threshold is set, if the minimum overall difference value Kmin is less than
  • the threshold value indicates that there is no major problem in the calculation of the similarity, and the image arrangement corresponding to the minimum overall difference value Kmin can be almost guaranteed, that is, the 3D source format; meanwhile, there is also a large value of the minimum overall difference value Kmin obtained. In the case, when the value reaches a certain level, it can be determined that there is a major defect in the calculation process of the similarity, and it needs to be re-detected.
  • the calculation of the similarity in this embodiment is based on each digit of the RGB three primary color data encoding of the pixel, and the data encoding is performed without any other conversion and segmentation, and the XOR comparison is directly performed, thereby avoiding data loss to the greatest extent. And image distortion to ensure the accuracy of its data source, It can guarantee that the calculation result of the similarity obtained by this data source has higher reliability. Based on the accurate similarity result, we can better guarantee the output of the correct 3D source format.
  • the detection method of the present invention directly uses the unconverted RGB three primary color data encoding to perform similarity calculation based on the input video data, and can not only automatically detect the 3D source format, but also minimize data loss and image distortion.
  • the situation improves the accuracy of 3D source format detection; at the same time, a threshold is set, which can avoid some major problems that may be encountered in the similarity calculation process and greatly affect the detection result, further improving Accuracy and reliability of 3D source format detection.
  • Embodiment 2 :
  • This embodiment is based on the first embodiment, and the difference is that the color data is the grayscale brightness of the pixel, and the pixel difference value is between the two pixels of the corresponding position on the left eye image and the right eye image.
  • the overall difference value is the sum of the pixel difference values of all the pixels on the left eye image and the right eye image.
  • the calculation of the pixel difference value as described above is performed by performing an exclusive-OR algorithm on the grayscale luminance of the three sub-pixels of the pixel, for example: the luminance levels of the three sub-pixels of red, green and blue of a pixel on the left-eye image are respectively (100,200,300), and the brightness levels of the three sub-pixels of the pixel corresponding to the position on the right eye image are (100,200,200), respectively, then XOR the two, respectively (0,0,1), two pixels
  • the pixel difference value is 1;
  • the overall difference value as described above is based on the accumulation of the pixel difference values described above, and the pixel difference values of all the pixels on the left eye image and the right eye image are accumulated, that is, the overall difference value.
  • each digit is XORed separately, and the grayscale luminances of the three sub-pixels of red, green, and blue are respectively XORed as a whole, thus reducing the amount of calculation.
  • FIG. 7 is a structural diagram of a related structure of a liquid crystal display device according to the present invention. Here, only a partial structure closely related to the automatic detection function is listed, wherein the liquid crystal display device 10 includes a drawing for extracting a picture from a video.
  • An image extraction unit 11 a split unit 12 for splitting an image frame into a left eye image and a right eye image, a similarity detection unit 13 for left eye image and right eye image similarity calculation, Controlling the output of the slice source format output unit 14 corresponding to the slice source format control signal of the similarity determination result;
  • the liquid crystal display device 10 extracts the image frame from the video by using the extracting unit 11, and according to different image arrangement modes by the splitting unit 12, The image frame is divided into a left eye image and a right eye image, and then the similarity detecting unit 13 calculates the similarity between the left eye image and the right eye image in the different image arrangement manners, and determines that the image arrangement mode with the largest similarity corresponds to
  • the source format output unit outputs a slice source format control signal of the 3D source format corresponding to the image arrangement of the maximum similarity, and drives the liquid crystal display device.
  • the splitting unit 12 and the similarity detecting unit 13 as described above may be sequential or non-sequential, including splitting the image frame into four image arrangement modes, and then calculating similarities.
  • Degree scheme also includes, split one by one, and then calculate the similarity, so split and then calculate the scheme of the loop multiple times;
  • the similarity detecting unit 13 and the source format output unit 14 as described above are all disposed on the TCON chip 20, and are specifically disposed in the DDR module 30 of the TCON chip 20. Since only the TCON chip provided by the liquid crystal display device is used, the 3D source format can be achieved by using a related algorithm stored in advance, and no other device is used for the detection of the 3D source, thereby not increasing the production cost. .
  • FIG. 8 is a related structural diagram of a liquid crystal display device according to the present invention, and FIG. 8 is a modification and supplement based on FIG. 7, wherein the similarity detecting unit 13 includes an identifying subunit 131 and a difference value calculating subunit 132; the identifying subunit 131
  • the RGB three primary color data encoding is used to identify and collect the respective groups of pixels of the left eye image and the right eye image, and the difference value calculation sub-unit 132 is configured to perform encoding according to the RGB three primary color data of each group of pixels by using an exclusive OR algorithm.
  • the similarity detecting unit 13 further includes a similarity determining sub-unit 133
  • the similarity judgment sub-unit 133 includes a threshold value, and if the minimum overall difference value is smaller than the threshold value, the slice source format output unit outputs a control signal for controlling the 3D slice source format corresponding to the minimum overall difference value; Minimum overall difference If it is equal to or greater than the threshold, the flow is transferred back to the extraction unit, and the image frame is re-extracted to perform the similarity calculation.
  • the liquid crystal display device performs the detection of the 3D source format by using the similarity correlation algorithm stored in the DDR module 30; the extraction unit 11 randomly extracts an image frame from the input video, and then, by means of the left and right splitting of the molecular unit 121,
  • the disassembling unit 122, the interlacing unit 123, and the interlacing unit 124 are respectively divided into a left-eye image and a right-side partitioning format, a top-and-left partitioning format, an interlaced format, and an interlaced format, respectively, corresponding to different 3D source formats.
  • the eye image is then identified by the recognition sub-unit 131 for the RGB three primary color data encoding of the corresponding pixels of the left eye image and the right eye image, and then the RGB three primary color data of the two pixels corresponding to the position is encoded as a set of data, using XOR
  • the algorithm calculates the pixel difference value, and then obtains the total difference value of the left eye image and the right eye image by accumulating the pixel difference values of the respective corresponding pixels, and generates the total difference value first total difference value Kl according to the image arrangement manner.
  • the identification sub-unit 131 as described above can identify and collect RGB three primary color data encodings of two pixels corresponding to positions in the left-eye image and the right-eye image, for example, the RGB format of 24 color components can obtain 24 digits, two sets of codes.
  • the individual digits are respectively subjected to an exclusive OR algorithm in the difference value calculation sub-unit 132, and 24 results of 1 or 0 can be obtained, and 24 results are accumulated to obtain a pixel difference value, and then all the pixel difference values are accumulated.
  • the overall difference value can be obtained; the smaller the difference value between the left eye image and the right eye image of an image arrangement mode, the more similar the image between the two images is, that is, the more likely it is the correct 3D film source format.
  • the image source format output unit 14 as described above previously stores image rows corresponding to the first overall difference value K1, the second overall difference value ⁇ 2, the third overall difference value ⁇ 3, and the fourth overall difference value ⁇ 4.
  • the scheme uses the algorithm stored in the DDR module to split the input video data into the left eye image and the right eye image directly, the RGB three primary color data encoding of the image frame is used for similarity comparison, and then the output matches the similarity.
  • the largest image arrangement is the 3D source format of the video, which does not require the user to manually set it.
  • the similarity calculation is performed directly by using the input image frame without other conversion, the other occurrences during the conversion process are avoided.
  • the problem of interference similarity calculation result is improved, and thus the accuracy of the source format detection of the liquid crystal display device is improved; in addition, since the similarity-related threshold is set, the similarity calculation error caused by the missing image frame missing is avoided. The problem further improves the accuracy of automatic detection.
  • FIG. 9 , FIG. 10 and FIG. 11 are diagrams showing a black insertion operation for driving a liquid crystal display device, respectively driving a display device according to a 3D source format of an interlaced format, an upper and lower division format, and a left and right division format, and a liquid crystal display device when driving output
  • a black insertion operation that is, inserting a frame of all black images between two left-eye images and right-eye images continuously played to prevent crosstalk between the left-eye image and the right-eye image, and There is a residual image relationship, and the short period of black insertion does not affect the playback of the video, thereby improving the film and television effect of the 3D video.

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Abstract

一种液晶显示装置的驱动方法包括步骤：A1：提取视频中的一幅图像帧；A2：分别根据多种的图像排列方式将所述图像帧直接拆分成一幅左眼图像和一幅右眼图像；比较左眼图像和右眼图像的彩色数据，根据比对结果分别计算各不同的图像排列方式的左眼图像和右眼图像的相似度；A3：选择最大相似度对应的图像排列方式，即所述一幅图像帧的图像排列方式，作为所述视频的3D片源格式，对液晶显示装置进行驱动。

Description

一种液晶显示装置的驱动方法和一种液晶显示装置
【技术领域】
本发明涉及视频处理技术领域， 更具体的说， 涉及一种液晶显示装置的驱 动方法和一种液晶显示装置。
【背景技术】
现如今， 随着 3D技术的不断发展， 各类 3D影像走入我们的生活之中， 当 用户希望能够得到良好的 3D视频效果时， 相应的液晶显示装置是必不可少的， 但是 3D的片源格式通常包括左右分割格式、 上下分割格式、 隔行格式、 隔列格 式和普通的 2D视频格式， 这需要用户自行判断 3D片源格式， 然后进行手动设 置， 由于用户对相应的液晶显示装置相关认识的匮乏， 使得用户不知道如何设 置正确的视频格式， 即使知道如何设置， 但^艮可能由于对视频格式的不了解而 需要进行多次设置， 给用户带来不便。
【发明内容】
本发明所要解决的技术问题是提供一种能够方便用户享受 3D视频效果的 液晶显示装置的驱动方法和一种液晶显示装置。
本发明的目的是通过以下技术方案来实现的：
一种液晶显示装置的驱动方法， 包括步骤：
A1: 提取视频中的一幅图像帧；
Α2: 分别根据多种的图像排列方式将所述图像帧直接拆分成一幅左眼图像 和一幅右眼图像； 比较左眼图像和右眼图像的彩色数据， 根据比对结果分别计 算各不同的图像排列方式的左眼图像和右眼图像的相似度；
A3: 选择最大相似度对应的图像排列方式， 即所述一幅图像帧的图像排列 方式， 作为所述视频的 3D片源格式， 对液晶显示装置进行驱动。
进一步的， 所述彩色数据即每个像素的 RGB三原色数据编码， 所述相似度 直接采用像素的 RGB三原色数据编码进行对比计算。 基于像素的 RGB三原色 数据编码进行计算， 可以更准确的计算左眼图像和右眼图像的相似度。
进一步的， 所述相似度的计算， 首先， 逐个计算每个像素的像素差异值， 然后， 计算整帧的总体差异值。
进一步的， 所述相似度的计算中， 像素差异值的计算包括异或算法， 所述 异或算法的公式如下：
P ( x,y ) =XOR ( left ( x,y ), right ( x,y ) ), 其中， left ( x,y ) 为左眼图像中 坐标为 （x,y ) 的像素的 RGB 三原色数据编码， right ( x,y ) 为右眼图像中坐标 为 （x,y )的像素的 RGB三原色数据编码， P ( x,y )为左眼图像和右眼图像中坐 标为 （x,y ) 的两个像素之间的像素差异值；
所述异或算法， 即对左眼图像和右眼图像对应位置的各组像素的 RGB三原 色数据编码的每个位数分别进行异或， 位数上的值相同则输出 0, 位数上的值不 同则输出 1 , 然后将各个位数上的异或结果相加即得到像素差异值。基于像素的 RGB三原色数据编码进行计算，甚至于将 RGB三原色数据编码的每个位数分别 进行比较， 可以更准确的计算左眼图像和右眼图像的相似度。
进一步的， 所述相似度的计算中， 总体差异值的计算包括累加算法， 所述 累加算法的公式如下：
KX=SUM { sum[P ( x,y ) ] } ；
其中， KX为总体差异值； P ( x,y )表示左眼图像和右眼图像（x,y )坐标的 两个对应的像素之间的像素差异值， sum ( P )表示每一行或者每一列像素的像 素差异值的累加之和， 而 SUM [sum ( P ) ]表示所有的像素差异值累加之和。
进一步的， 所述图像排列方式包括左右分割格式、 上下分割格式、 隔行格 式和隔列格式中的至少两种， 根据多种图像排列方式拆分成左眼图像和右眼图 像， 并根据左眼图像和右眼图像所有的像素差异值进行累加算法而得， 分别得 到第一总体差异值、 第二总体差异值、 第三总体差异值和第四总体差异值中的 至少两个， 比较第一总体差异值、 第二总体差异值、 第三总体差异值和第四总 体差异值得到最小总体差异值， 具备最小总体差异值的图像排列方式就是具备 最大相似度的图像排列方式， 即图像帧的图像排列方式， 继而可以得到对应的
3D片源格式。 对应于最小总体差异值的图像排列方式， 即相似度最大的图像排 列方式。
进一步的， 所述总体差异值设置有一个阀值， 若最小总体差异值小于阀值， 则具备最小总体差异值的图像排列方式相对应的片源格式， 作为所述视频的 3D 片源格式， 对液晶显示装置进行驱动； 若最小总体差异值等于或者大于阀值， 则说明相似度判断存在错误，则从 A1开始，提取新的一幅图像帧重新进行侦测。 设置阀值， 可以保证当相似度的计算出现重大错误时， 整个液晶显示装置的驱 动的流程可以知晓并重新提取图像帧， 再次进行 3D片源格式的侦测。
一种液晶显示装置， 所述液晶显示装置包括用于从视频中提取图像帧的提 取单元、 用于将图像帧拆分为左眼图像和右眼图像的拆分单元、 用于左眼图像 和右眼图像相似度计算的相似度侦测单元以及用于控制输出对应于相似度侦测 结果的片源格式控制信号的片源格式输出单元。
进一步的， 所述相似度侦测单元包括识别子单元和差异值计算子单元； 所 述识别子单元用于识别和采集左眼图像和右眼图像相应位置的各组像素的 RGB 三原色数据编码， 而所述差异值计算子单元用于根据所述各组像素的 RGB三原 色数据编码， 运用异或算法计算各组像素的像素差异值， 并将各个像素差异值 累加得到左眼图像和右眼图像的总体差异值， 并比较得到最小总体差异值； 所述相似度侦测单元还包括相似度判断子单元， 所述相似度判断子单元包 括一个阀值， 若最小总体差异值小于所述阀值， 则由所述片源格式输出单元输 出用于控制相应于最小总体差异值的 3D片源格式的控制信号；若最小总体差异 值等于或者大于所述阀值，则将流程转回至提取单元，重新执行侦测。基于 RGB 三原色数据编码进行相似度的比较可以提高准确性； 而设置阀值， 可以保证当 相似度的计算出现重大错误时，液晶显示装置可以知晓并重新进行 3D片源格式 的侦测。 进一步的， 所述提取单元、 拆分单元、 相似度侦测单元以及片源格式输出 单元都设置在所述液晶显示装置自带的 TCON芯片的 DDR模块内；所述拆分单 元包括左右拆分子单元、 上下拆分子单元、 隔行拆分子单元和隔列拆分子单元。 只需要使用液晶显示装置本身自带的 TCON芯片中的 DDR模块，即可完成相似 度的计算并驱动液晶显示装置， 而不需要额外的添加其他的设备， 在自动侦测 3D片源格式的同时， 不增加生产成本。
本发明由于对提取的图像帧进行了依据多种图像排列方式的分别拆分为左 眼图像和右眼图像， 并基于左眼图像和右眼图像的彩色数据进行相似度比较， 确定 3D片源格式， 进而驱动液晶显示装置； 该驱动方法可以在播放 3D视频的 时候，快速自动的识别 3D视频的片源格式，而不需要用户自行判断并手动设置， 给用户带来了便利。
【附图说明】
图 1是本发明一种液晶显示装置的驱动方法的基本流程图；
图 2是本发明一种液晶显示装置的驱动方法的实现流程图；
图 3是图像排列方式为左右分割格式的拆分示意图；
图 4是图像排列方式为上下分割格式的拆分示意图；
图 5是图像排列方式为隔行格式的拆分示意图；
图 6是图像排列方式为隔列格式的拆分示意图；
图 7是本发明一种液晶显示装置的相关结构筒图；
图 8是本发明一种液晶显示装置的相关结构图；
图 9是驱动液晶显示装置的隔行格式插黑操作图；
图 10是驱动液晶显示装置的左右分割格式插黑操作图；
图 11是驱动液晶显示装置的上下分割格式插黑操作图。
【具体实施方式】 如图 1 所示为本发明一种液晶显示装置的驱动方法的基本流程图， 该方法 包括步骤：
A1: 提取视频中的一幅图像帧；
A2: 分别根据多种的图像排列方式将所述图像帧直接拆分成一幅左眼图像 和一幅右眼图像； 比较左眼图像和右眼图像的彩色数据， 根据比对结果分别计 算各不同的图像排列方式的左眼图像和右眼图像的相似度；
A3: 选择最大相似度对应的图像排列方式， 即所述一幅图像帧的图像排列 方式， 作为所述视频的 3D片源格式， 对液晶显示装置进行驱动。
如上所述的提取视频中的一幅图像帧， 可以是随机的， 也可以是有规律的 从视频中提取一幅图像帧。
本发明由于对提取的图像帧进行了依据多种图像排列方式的分别拆分为左 眼图像和右眼图像， 并基于左眼图像和右眼图像的彩色数据进行相似度比较， 确定 3D片源格式； 所述驱动方法可以在播放 3D视频的时候， 快速自动的识别 并输出对应于 3D视频的片源格式， 而不需要用户自行判断并手动设置， 给用户 带来了便利。
下面结合附图和较佳的实施例对本发明作进一步说明。 实施例一：
图 2 为本发明一种液晶显示装置的驱动方法的实现流程图， 该方法包括步 骤：
B1: 提取视频中的一幅图像帧；
B2: 根据不同的图像排列方式将提取的一幅图像帧直接拆分成一幅左眼图 像和一幅右眼图像； 分别根据左眼图像和右眼图像相对应位置的各组像素的彩 色数据计算像素差异值； 根据各组像素的像素差异值， 进行累加运算， 分别得 到对应于左右分割格式、 上下分割格式、 隔行格式和隔列格式中的至少两个的 总体差异值， 即第一总体差异值 Kl、 第二总体差异值 Κ2、 第三总体差异值 Κ3、 第四总体差异值 K4中的至少两个；
Β3: 比较第一总体差异值 Kl、 第二总体差异值 Κ2、 第三总体差异值 Κ3、 第四总体差异值 Κ4得到最小总体差异值 Kmin, 对应于最小总体差异值 Kmin 的图像排列方式， 即具备最大相似度的片源格式；
B4: 将最小总体差异值 Kmin和预设的阀值 Z相比较， 若最小总体差异值 Kmin > Z, 则转回步骤 B1 , 重新执行运算， 若最小总体差异值 Kmin < Z则执行 步骤 B5:
B5: 得出判断结果，最小总体差异值 Kmin最小的图像排列方式对应的片源 格式， 作为所述视频的 3D片源格式， 对液晶显示装置进行驱动。
如上所述的步骤 B2中的图像排列方式包括左右分割格式、 上下分割格式、 隔行格式和隔列格式， 按照这四种格式拆分为左眼图像 FL和右眼图像 FR的示 意图如图 3至图 6所示， 其中图 3为左右分割格式的拆分示意图， 图 4为上下 分割格式的拆分示意图， 图 5为隔行格式的拆分示意图， 图 6为隔列格式的拆 分示意图； 当然， 按照液晶显示装置支持的片源格式的不同， 还可以再额外支 持帧连续格式等的拆分格式或只支持其中部分的拆分格式。
如上所述的步骤 B2中的像素差异值的计算是相似度计算的构成部分，所运 用的算法为异或算法； 其中， 彩色数据即像素的 RGB三原色数据编码， 而像素 差异值就是基于左眼图像和右眼图像各组对应像素的 RGB三原色数据编码的各 个位数进行异或得到的， 异或算法式子如下：
像素差异值 P ( x,y ) =XOR ( left ( x,y ), right ( x,y ) );
式子中所述 left ( x,y ), right ( x,y )对应左眼图像和右眼图像（ x,y )坐标的 两个对应的像素； 当相应位数上的值相同时，输出 0; 而相应位置上的值不同时， 输出 1; 最后将各个位数的异或结果累加， 即是每个像素的像素差异值 P。 比如： 对 24位的 RGB三原色数据编码运用异或算法， 当左眼图像中某个像素的数据 编码为 "FFFFFF" , 右眼图像对应位置的像素的数据编码为 "FFFFF0" , 则每个 位数分别进行异或得到六个异或结果（若使用二进制进行异或， 则为 24个异或 结果）， 即 "000001" , 则该像素的像素差异值为 1 ; 当然， 该算法并不局限于 24位的 RGB三原色数据编码， 也不局限于是何种进制格式。
如上所述的步骤 B2的总体差异值的计算是相似度计算的构成部分，所运用 的算法为累加算法； 总体差异值的计算对应于图像排列方式的左右分割格式、 上下分割格式、 隔行格式和隔列格式中的至少两个得到第一总体差异值 Kl、 第 二总体差异值 Κ2、 第三总体差异值 Κ3、 第四总体差异值 Κ4中的至少两个； 该 总体差异值是通过像素差异值运用累加算法累加而得到的， 累加算法式子表示
:¾口下：
KX=SUM { sum[P ( x,y ) ] } ；
其中， KX为总体差异值， X=l~4, 对应四种不同的排列方式； P ( x,y )表 示左眼图像和右眼图像（x,y ) 坐标的两个对应的像素之间的像素差异值， sum ( P )表示每一行或者每一列像素的像素差异值的累加之和， 而 SUM [sum ( P ) ] 表示所有的像素差异值累加之和。
如上所述的步骤 B2中， 左眼图像和右眼图像的拆分， 以及左右眼图像之间 的像素差异值和总体差异值的计算， 可以先按多种图像排列方式拆分后再计算， 也可以按一种图像排列方式拆分并计算后， 再循环多次把各种排列方式分别计 算出来。
如上所述的步骤 B4的阀值 Z是预先设置好的，由于可能存在提取帧失败或 者不完全， 以及其他可能干扰相似度计算的问题存在， 因而设置了阀值， 若最 小总体差异值 Kmin小于阀值，说明相似度的计算不存在重大问题， 几乎可以保 证对应于最小总体差异值 Kmin的图像排列方式， 即 3D片源格式； 同时， 也存 在求得的最小总体差异值 Kmin的值很大的情况， 当其值达到一定程度时， 可以 判定在相似度的计算过程中存在重大缺陷， 需要重新侦测。
本实施例的相似度的计算， 是基于像素的 RGB三原色数据编码的每一个位 数， 进行比较， 其数据编码不经过其他的转换和分割， 直接进行异或对比， 可 以最大程度的避免数据丟失和图像失真， 从而保证其数据来源的准确性， 也因 而能够保证由此数据来源得到的相似度的计算结果具有更高的可靠性， 基于准 确的相似度结果， 我们可以更好的保证输出的是正确的 3D片源格式。
本发明所述的侦测方法直接基于输入的视频数据， 采用未经转换的 RGB三 原色数据编码进行相似度的计算， 不仅能够自动侦测 3D片源格式， 最大程度的 减少数据丟失和图像失真等情况， 提高了 3D片源格式侦测的准确度； 同时， 设 置了一个阀值， 借助此阀值可以避免相似度计算过程中可能遇到的一些剧烈影 响侦测结果的重大问题， 进一步提高了 3D片源格式侦测的准确性和可靠性。 实施例二：
本实施例是基于实施例一进行改变的方案， 其区别点在于， 所述彩色数据 是像素的灰阶亮度， 像素差异值则是左眼图像和右眼图像上对应位置的两个像 素之间的对比， 总体差异值则是左眼图像和右眼图像上所有的像素的像素差异 值的累加。
如上所述的像素差异值的计算， 是对像素的三个子像素的灰阶亮度进行异 或算法所得， 比如： 左眼图像上某个像素的红， 绿， 蓝三个子像素的亮度等级 分别为 （ 100,200,300 ), 而右眼图像上相对应位置的像素的三个子像素的亮度等 级分别为 ( 100,200,200 ), 则对两者进行异或， 分别得到 ( 0,0,1 )则， 两个像素 的像素差异值为 1;
如上所述的总体差异值， 则是基于上述的像素差异值的累加， 左眼图像和 右眼图像上所有的像素的像素差异值累加， 即总体差异值。
不同于 RGB三原色数据编码， 每个位数分别进行异或， 而是将红， 绿， 蓝 三个子像素的灰阶亮度分别作为一个整体进行异或， 如此可以减少计算量。 实施例三：
图 7 为本发明一种液晶显示装置的相关结构筒图， 在此， 仅列出密切相关 于自动侦测功能的部分结构， 其中， 液晶显示装置 10包括用于从视频中提取图 像帧的提取单元 11、 用于将图像帧拆分为左眼图像和右眼图像的拆分单元 12、 用于左眼图像和右眼图像相似度计算的相似度侦测单元 13、 用于控制输出对应 于相似度判断结果的片源格式控制信号的片源格式输出单元 14; 液晶显示装置 10利用提取单元 11从视频中提取图像帧， 并通过拆分单元 12依据不同的图像 排列方式， 将图像帧拆分为左眼图像和右眼图像， 然后相似度侦测单元 13计算 对比不同图像排列方式下左眼图像和右眼图像的相似度， 判断具备最大相似度 的图像排列方式对应即为视频的 3D片源格式，则由片源格式输出单元输出对应 于最大相似度的图像排列方式的 3D片源格式的片源格式控制信号，对液晶显示 装置进行驱动。
如上所述的拆分单元 12和相似度侦测单元 13可以是有先后顺序的， 也可 以是没有先后顺序的， 其中包括了先将图像帧拆分为四种图像排列方式， 然后 再计算相似度的方案； 也包括了， 逐个进行拆分， 继而计算相似度， 如此拆分 再计算循环多次的方案；
如上所述的相似度侦测单元 13和片源格式输出单元 14都设置在 TCON芯 片 20上， 具体设置在 TCON芯片 20的 DDR模块 30内。 由于只使用到液晶显 示装置自带的 TCON芯片， 利用预先存储在其中的相关算法即可达到 3D片源 格式的目的， 没有增加其他的设备用于 3D片源的侦测， 因而不增加生产成本。
图 8为本发明一种液晶显示装置的相关结构图， 图 8是基于图 7 的完善和 补充， 其中相似度侦测单元 13包括识别子单元 131和差异值计算子单元 132; 识别子单元 131 用于识别和采集左眼图像和右眼图像相应位置的各组像素的 RGB三原色数据编码， 而差异值计算子单元 132用于根据所述各组像素的 RGB 三原色数据编码， 运用异或算法计算各组像素的像素差异值， 并将各个像素差 异值累加得到左眼图像和右眼图像的总体差异值， 并比较得到最小总体差异值； 相似度侦测单元 13还包括相似度判断子单元 133, 相似度判断子单元 133 包括一个阀值， 若最小总体差异值小于所述阀值， 则由片源格式输出单元输出 用于控制相应于最小总体差异值的 3D片源格式的控制信号；若最小总体差异值 等于或者大于所述阀值， 则将流程转回至提取单元， 重新提取图像帧执行相似 度的计算。
液晶显示装置利用存储在 DDR模块 30内的相似度相关算法进行 3D片源格 式的侦测； 利用提取单元 11从输入的视频中随机提取一幅图像帧， 然后， 通过 左右拆分子单元 121、 上下拆分子单元 122、 隔行拆分子单元 123和隔列拆分子 单元 124分别拆分为左右分割格式、 上下分割格式、 隔行格式和隔列格式四种 对应不同的 3D片源格式的左眼图像和右眼图像，然后通过识别子单元 131识别 其中左眼图像和右眼图像各个对应的像素的 RGB三原色数据编码， 然后， 将对 应位置的两个像素的 RGB三原色数据编码当做一组数据， 运用异或算法计算像 素差异值， 继而通过各个对应像素的像素差异值的累加， 得到左眼图像和右眼 图像的总体差异值， 并根据图像排列方式的不同生成总体差异值第一总体差异 值 Kl、 第二总体差异值 Κ2、 第三总体差异值 Κ3和第四总体差异值 Κ4, 并比 较得出最小的总体差异值最小总体差异值 Kmin,所述最小总体差异值 Kmin所对 应的图像排列方式即相似度最大的图像排列方式，然后由相似度判断子单元 133 判断该总体差异值最小总体差异值 Kmin是否小于预设的阀值， 若小于， 则由片 源格式输出单元 14输出相对应的片源格式控制信号， 对显示装置进行驱动； 若 等于或者大于， 则转回提取单元 11 , 重新提取图像帧， 重新执行运算。
如上所述的识别子单元 131 可以识别并采集左眼图像和右眼图像中对应位 置的两个像素的 RGB三原色数据编码， 比如 24个色彩分量的 RGB格式可以得 到 24个位数， 两组编码的各个位数在差异值计算子单元 132中分别进行异或算 法， 可以得到 1或 0的 24个结果， 将 24个结果进行累加即得到像素差异值， 然后， 将所有的像素差异值进行累加即可得到总体差异值； 某图像排列方式的 左眼图像和右眼图像的差异值越小， 说明该图像排列方式两图像之间越相似， 即越可能是正确的 3D片源格式。
如上所述的片源格式输出单元 14中预先存储有匹配于第一总体差异值 Kl、 第二总体差异值 Κ2、第三总体差异值 Κ3和第四总体差异值 Κ4相对应的图像排 列方式的片源格式控制信号， 当进行相似度判断时， 如： 对应于最大相似度的 最小总体差异值 1^11=第一总体差异值 K1 ,则输出相对应与左右分割格式的 3D 片源格式； 若最小总体差异值 11^11=第二总体差异值 K2, 则输出相对应于上下 分割格式的 3D片源格式； 最小总体差异值 11^11=第三总体差异值 K3 , 则输出 相对应于隔行格式的 3D片源格式；最小总体差异值 1^11=第四总体差异值 K4, 则输出相对应于隔列格式的 3D片源格式。
由于本方案由于利用存储在 DDR模块内的算法，通过将输入的视频数据直 接拆分为左眼图像和右眼图像， 采用图像帧的 RGB三原色数据编码进行相似度 对比， 继而输出匹配于相似度最大的图像排列方式为视频的 3D片源格式， 不需 要用户手动的去设置； 同时， 由于直接利用输入的图像帧进行相似度计算， 而 不经过其他的转换， 避免了转换过程中出现的其他干扰相似度计算结果的问题， 因而， 提高了液晶显示装置片源格式侦测的准确率； 另外， 由于设置了相似度 相关的阀值， 避免提取的图像帧缺失造成的相似度计算错误的重大问题， 进一 步提高了自动侦测的准确率。 实施例四：
图 9、图 10和图 11是驱动液晶显示装置的插黑操作图，分别按照隔行格式、 上下分割格式和左右分割格式的 3D片源格式对显示装置进行驱动，在驱动输出 时， 液晶显示装置还需要进行插黑的操作， 即在连续播放的两张左眼图像和右 眼图像之间， 插入一帧全黑的图像， 以防止左眼图像和右眼图像之间发生串扰， 而由于图像存在残影的关系， 插黑的这一小段时间并不会对视频的播放照成影 响， 从而提高 3D视频的影视效果。
以上内容是结合具体的优选实施方式对本发明所作的进一步详细说明， 不 能认定本发明的具体实施只局限于这些说明。 对于本发明所属技术领域的普通 技术人员来说， 在不脱离本发明构思的前提下， 还可以做出若干筒单推演或替 换， 都应当视为属于本发明的保护范围。

Claims

权利要求
1、 一种液晶显示装置的驱动方法， 包括步骤：
A1: 提取视频中的一幅图像帧；
A2: 分别根据多种的图像排列方式将所述图像帧直接拆分成一幅左眼图像 和一幅右眼图像； 比较左眼图像和右眼图像的彩色数据， 根据比对结果分别计 算各不同的图像排列方式的左眼图像和右眼图像的相似度；
A3: 选择最大相似度对应的图像排列方式， 即所述一幅图像帧的图像排列 方式， 作为所述视频的 3D片源格式， 对液晶显示装置进行驱动。
2、 如权利要求 1所述的一种液晶显示装置的驱动方法， 其中， 所述彩色数 据即每个像素的 RGB三原色数据编码， 所述相似度直接采用像素的 RGB三原 色数据编码进行对比计算。
3、 如权利要求 2所述的一种液晶显示装置的驱动方法， 其中， 所述相似度 的计算， 首先， 逐个计算每个像素的像素差异值， 然后， 计算整帧的总体差异 值。
4、 如权利要求 3所述的一种液晶显示装置的驱动方法， 其中， 所述相似度 的计算中， 像素差异值的计算包括异或算法， 所述异或算法的公式如下：
P ( x,y ) =XOR ( left ( x,y ), right ( x,y ) ), 其中， left ( x,y ) 为左眼图像中 坐标为 （x,y ) 的像素的 RGB 三原色数据编码， right ( x,y ) 为右眼图像中坐标 为 （x,y )的像素的 RGB三原色数据编码， P ( x,y )为左眼图像和右眼图像中坐 标为 （x,y ) 的两个像素之间的像素差异值；
所述异或算法， 即对左眼图像和右眼图像对应位置的各组像素的 RGB三原 色数据编码的每个位数分别进行异或， 位数上的值相同则输出 0, 位数上的值不 同则输出 1 , 然后将各个位数上的异或结果相加即得到像素差异值。
5、 如权利要求 3所述的一种液晶显示装置的驱动方法， 其中， 所述相似度 的计算中， 总体差异值的计算包括累加算法， 所述累加算法的公式如下： KX=SUM { sum[P ( x,y ) ] } ；
其中， KX为总体差异值； P ( x,y )表示左眼图像和右眼图像（x,y )坐标的 两个对应的像素之间的像素差异值， sum ( P )表示每一行或者每一列像素的像 素差异值的累加之和， 而 SUM [sum ( P ) ]表示所有的像素差异值累加之和。
6、 如权利要求 3所述的一种液晶显示装置的驱动方法， 其中， 所述图像排 列方式包括左右分割格式、 上下分割格式、 隔行格式和隔列格式中的至少两种， 根据多种图像排列方式拆分成左眼图像和右眼图像， 并根据左眼图像和右眼图 像所有的像素差异值进行累加算法而得， 分别得到第一总体差异值、 第二总体 差异值、 第三总体差异值和第四总体差异值中的至少两个， 比较第一总体差异 值、 第二总体差异值、 第三总体差异值和第四总体差异值得到最小总体差异值， 具备最小总体差异值的图像排列方式就是具备最大相似度的图像排列方式， 即 图像帧的图像排列方式， 继而可以得到对应的 3D片源格式。
7、 如权利要求 6所述的一种液晶显示装置的驱动方法， 其中， 所述总体差 异值设置有一个阀值， 若最小总体差异值小于阀值， 则具备最小总体差异值的 图像排列方式相对应的片源格式， 作为所述视频的 3D片源格式， 对液晶显示装 置进行驱动； 若最小总体差异值等于或者大于阀值， 则说明相似度判断存在错 误， 则从 A1开始， 提取新的一幅图像帧重新进行侦测。
8、 一种液晶显示装置， 所述液晶显示装置包括用于从视频中提取图像帧的 提取单元、 用于将图像帧拆分为左眼图像和右眼图像的拆分单元、 用于左眼图 像和右眼图像相似度计算的相似度侦测单元以及用于控制输出对应于相似度侦 测结果的片源格式控制信号的片源格式输出单元。
9、 如权利要求 8所述的一种液晶显示装置， 其中， 所述相似度侦测单元包 括识别子单元和差异值计算子单元； 所述识别子单元用于识别和采集左眼图像 和右眼图像相应位置的各组像素的 RGB三原色数据编码， 而所述差异值计算子 单元用于根据所述各组像素的 RGB三原色数据编码， 运用异或算法计算各组像 素的像素差异值， 并将各个像素差异值累加得到左眼图像和右眼图像的总体差 异值， 并比较得到最小总体差异值；
所述相似度侦测单元还包括相似度判断子单元， 所述相似度判断子单元包 括一个阀值， 若最小总体差异值小于所述阀值， 则由所述片源格式输出单元输 出用于控制相应于最小总体差异值的 3D片源格式的控制信号；若最小总体差异 值等于或者大于所述阀值， 则将流程转回至提取单元， 重新执行侦测。
10、 如权利要求 8所述的一种液晶显示装置， 其中， 所述提取单元、 拆分 单元、 相似度侦测单元以及片源格式输出单元都设置在所述液晶显示装置自带 的 TCON芯片的 DDR模块内； 所述拆分单元包括左右拆分子单元、上下拆分子 单元、 隔行拆分子单元和隔列拆分子单元。
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