CN107886918A - A kind of video image real-time correcting method - Google Patents

A kind of video image real-time correcting method Download PDF

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Publication number
CN107886918A
CN107886918A CN201711109553.0A CN201711109553A CN107886918A CN 107886918 A CN107886918 A CN 107886918A CN 201711109553 A CN201711109553 A CN 201711109553A CN 107886918 A CN107886918 A CN 107886918A
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sub
pixel
correction factor
real
value
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CN107886918B (en
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杨建军
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SHANGHAI BENQU NETWORK TECHNOLOGY Co.,Ltd.
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Anhui Quality In Intelligent Technology Co Ltd
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    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09GARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G3/00Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes
    • G09G3/20Control 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
    • G09G3/34Control 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
    • G09G3/36Control 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
    • GPHYSICS
    • G09EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09GARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G2320/00Control of display operating conditions
    • G09G2320/02Improving the quality of display appearance
    • G09G2320/0242Compensation of deficiencies in the appearance of colours

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  • Engineering & Computer Science (AREA)
  • Chemical & Material Sciences (AREA)
  • Crystallography & Structural Chemistry (AREA)
  • Physics & Mathematics (AREA)
  • Computer Hardware Design (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Control Of Indicators Other Than Cathode Ray Tubes (AREA)
  • Liquid Crystal Display Device Control (AREA)

Abstract

The embodiments herein on it is a kind of to video playback when the method corrected in real time of image, including multiple sample frames in monitor video, calculate the global mean value of the image correction parameters of each color sub-pixel and indivedual average values respectively in the first and second sample frames, real-time correction factor is calculated according to the difference of global mean value among two sample frames and the difference of indivedual average values, and adjusts the gray value and adjustment sub-pixel driving voltage in input picture during for real-time correction factor within the first interval and the second interval respectively.This method can carry out amendment in real time to avoid the image color or brightness irregularities phenomenon caused by sub-pixel performance difference in video display process.

Description

A kind of video image real-time correcting method
Technical field
Field of the disclosure on Display Technique, more specifically, on a kind of side corrected in real time to video image Method.
Background technology
LCD display panel includes a large amount of colour elements by array arrangement and formed.Generally comprised in each colour element The sub-pixel of three or more, each sub-pixel are configurable to one kind in display green, red or blueness, and green, red Each color in color or blueness comprises at least a sub-pixel.For example, blue subpixels can be two, and red and green Respectively include a sub-pixel.In process of production, by process conditions are limited so that each sub-pixel or for TFT it is mutual Between performance difference occurs, have different brightness, contrast, the parameter such as saturation degree.In use, can in sub-pixel Because of a variety of causes such as threshold voltage shift, water inlet, high temperature, aging the parameters such as brightness, contrast, saturation degree can be occurred Change, in some instances it may even be possible to produce short circuit or open circuit etc. and form bad point.This can all make it that the color of display image is not uniform enough, is broadcasting When putting video, it may appear that some regions are detailed to have the brightness abnormal with other regions or color.For example, some regions may phase Can be colder than under, it is partially yellow or excessively dark.Due to each color sub-pixel performance change curve and differ, may only broadcast It is uneven that display can be produced when putting the specific frame of the higher grade of contrast in video, it is also possible to show the sub- picture in abnormal screen area Element can show the exception of some colors, and show then normal during other colors.Traditional display calibration method is more numerous and diverse, It can not in real time be carried out as the broadcasting of video image is synchronous, and need extra operation calibration procedure to be adjusted, and even if carried out Adjustment, it also not necessarily can guarantee that the picture for played particular video frequency has the uniformity optimized.
The content of the invention
The purpose of the embodiment of the present disclosure is the above mentioned problem for solving prior art, and provides a kind of shown to image and carry out in fact Shi Xiuzheng method, it, which is included in the picture frame continuously displayed, monitors multiple sample frames, and first in multiple sample frames is adopted The first global mean value and the every height of each color of the image correction parameters of all sub-pixels of each color are calculated in sample frame First of the image correction parameters of pixel is not worth, grey scale change of the image correction parameters for each color according only to sub-pixel And change, the figure of all sub-pixels of each color is calculated in the second sample frame after the first sample frame in multiple sample frames Second as the image correction parameters of each sub-pixel of the second global mean value and each color of corrected parameter is not worth, right Real-time correction factor is determined in each sub-pixel of each color, the real-time correction factor subtracts first equal to the second global mean value The not value of the global mean value difference of global mean value and second subtract difference between first indivedual value difference not being worth again divided by Global mean value is poor, sub-pixel real-time correction factor absolute value within the first interval when, in the second sample frame The gray value for corresponding to the sub-pixel in input image data, Yi Ji are adjusted in picture frame afterwards according to real-time correction factor When the absolute value of the real-time correction factor of sub-pixel is within the second interval more than the first interval, in the second sampling The driving voltage of the sub-pixel is adjusted in picture frame after frame according to real-time correction factor.
Above-described embodiment helps to provide the individualized amendment for being best suitable for the video image according to played video image Method, real-time correction factor is determined by the variable quantity of image correction parameters defined above, can more delicately reflect figure As the change between every frame, it will show that uneven sub-pixel is modified to closer to normal gray scale.And by repairing in real time The different sections of positive coefficient carry out different modification methods, preferably modifying factor manufacturing defect or aging can produce performance drift Sub-pixel.
In certain embodiments, sub-pixel real-time correction factor absolute value more than the 3rd of the second interval When within interval, the gray value for corresponding to the sub-pixel in input image data is adjusted in pre-defined repairing efficiency To cause the sub-pixel alternately to show maximum gradation value and minimum gradation value, the repairing efficiency in time with multiple sample frames not It is overlapping.
In certain embodiments, the image correction parameters of each sub-pixel are defined as P=g+C1g3, wherein P is image correction Parameter, g are gray value, C1For the constant less than 1.
In certain embodiments, the gray scale for corresponding to the sub-pixel in input image data is adjusted according to real-time correction factor Value includes increasing the incrementss for being proportional to real-time correction factor to gray value.
In certain embodiments, the driving voltage of the sub-pixel is adjusted according to real-time correction factor to be included increasing driving voltage Add incrementss Δ V=sgn (L) C2Ln (L), wherein sgn () are sign function, C2For positive constant, L is amendment in real time Coefficient.
In certain embodiments, a sub-pixel real-time correction factor absolute value within the second interval When, the real-time correction factors of the adjacent subpixels of same color around a sub-pixel is searched, and at least one adjacent When the real-time correction factor of sub-pixel is more than the real-time correction factor of a sub-pixel and is not at three intervals, by this The real-time correction factor of one sub-pixel is revised as the real-time correction factor of maximum absolute value at least one adjacent subpixels.
In certain embodiments, adjacent subpixels are phase in 8 nearest neighbor pixels around sub-pixel place pixel With the sub-pixel of color.
In certain embodiments, the second sample frame is the next frame of display after the first sample frame.
In certain embodiments, multiple sample frames are the multiple frames continuously displayed.
In certain embodiments, the first interval is more than 5% and less than 15%, and second interval is 15% Above and less than 50%, and the 3rd interval is more than 50%.
Embodiment of the disclosure can be used for carrying out image correction in real time when playing dynamic image so that the video played Display non-uniform phenomenon corrected, and the species of sub-pixel property abnormality is judged according to real-time correction factor, correspondingly selected Carry out gray-level correction, driving voltage amendment or repair procedure are selected, to causing to show that uneven a variety of causes can play Effect.
Brief description of the drawings
Present disclose provides accompanying drawing to illustrate some nonrestrictive examples according to disclosure principle, rather than is used for Form any restrictions.
Fig. 1 is the schematic diagram for showing sub-pixel structure in pixel.
Fig. 2 is the flow chart according to the method and step of the embodiment of the present disclosure.
Embodiment
Term first, second, third, upper and lower, left and right etc. are not intended to limit the particular location of element, appoint without in definition Where to or limitation sequentially.Preferred embodiments disclosed herein only for facilitating the understanding of those skilled in the art, and It is not limited to the scope of the present disclosure, the scope of the present disclosure is included in various equivalent under the principle of disclosed embodiment or replaced For the embodiment of property, and those skilled in the art can be from the content that the disclosure is apparently inferred to.
As shown in figure 1, each pixel of liquid crystal display generally comprises at least one red sub-pixel 10, at least one indigo plant Sub-pixels 11, and at least one green sub-pixels 12.The sub-pixel of three kinds of colors can form one as an entirety Colour element.The arrangement mode of red sub-pixel 10, blue subpixels 11 and green sub-pixels 12 can be RGB arrangement or Pentile is arranged.Because the size of pixel is smaller, the user of observation display can not apparently tell the son in pixel a long way off Pixel, but can only see a bright spot.RGB sub-pixels in pixel can have different brightness or gray scale with various, from And user is caused to see different colours.For example, when three kinds of color gray values are 0, user will be seen that black, and at three kinds When color gray value is maximum (such as 255), user will be seen that white.Due to the quantity of pixel be probably it is millions of even more It is more, it is difficult to avoid some of which pixel and sub-pixel from occurring brightness, contrast in process of production or during use, satisfy With degree etc. parameter change.This will appear as having the inequality substantially contrasted with other parts in the image observed by human eye Even region, so as to influence Consumer's Experience.Drive circuit 13 be generally matrix driving circuit, such as can include tft array with Driving voltage and driving current are provided in respectively each pixel.
Fig. 2 shows each step of the automatic correcting method according to the embodiment of the present disclosure.In step s 201, first regarding Multiple sample frames are monitored in frequency playing process.The plurality of sample frame can be the multiple frames continuously displayed, and a frame of starting can be with Random selection, can also be selected according to the predetermined time cycle.Calculated in the first sample frame in multiple sample frames every First global mean value P of the image correction parameters of kind all sub-pixels of colorG1And the image of each sub-pixel of each color The not value P of first of corrected parameteri.And each color is calculated after the first sample frame in the second sample frame of next frame and is owned Second global mean value P of the image correction parameters of sub-pixelG2And the image correction parameters of each sub-pixel of each color Second not value Pi’.Wherein image correction parameters are preferably P=g+C1g3, wherein P is image correction parameters, and g is sub-pixel ash Angle value, or can be the difference of sub-pixel gray value and common benchmark gray value, C1For the constant less than 1, and can be negative Number, but be not zero.C1There can be different values for the sub-pixel of different colours.Above-described image correction parameters can The relatively balanced amendment degree of accuracy and detection sensitivity are provided.Those skilled in the art can be according to the characteristic of display, such as LED, OLED, CRT etc. define the image correction parameters of modification, to meet different types of characteristic curve.For example, it can define P=(g-G)+C1(g-G)3, wherein G is the benchmark gray value of the color sub-pixels defined in reference picture, can also be for making P=g+C is defined with time more long display1Ln (g), to more conform to the functional relation of its gray scale and access times.
In step S202, the global mean value of two sample frames determined according to previous step is global average by second Value subtracts the first global mean value to obtain global mean value difference PG2-PG1.Similarly, each sub-pixel i image correction is joined It is several be not worth also subtracted each other to obtain indivedual value difference Pi’-Pi.It will be played more than 24 frames because video playback is per second, and display Refreshing frequency is typically in more than 60Hz, and shown image will be more approximate in every adjacent two field pictures of similar scene, because Difference between the poor and difference that is worth individually of this global mean value also should be in less scope.Now in order to carry out realtime graphic Amendment, defines real-time correction factor Li, the real-time correction factor Li=1- (Pi’-Pi)/(PG2-PG1).I.e. global mean value difference with Difference divided by global mean value between indivedual value differences is poor.If the absolute value of the real-time correction factor is substantially excessive, such as more than 100% is even up to bigger, then scene changes occurs in explanation, i.e., what adjacent two sample frames reflected just is general image Suddenly change, be now not suitable for being modified.In addition, the reason for video image is because of images themselves quality is it is possible that each The uneven noise of kind, so that correction factor change in real time is excessive, it is also not suitable for being modified in this case.If the reality When correction factor absolute value to be less than franchise horizontal, such as 5%, then explanation is in the range of calculation error or without showing It is uneven, it is not necessary to be modified.
In step 203, image correction is carried out when Real Time Correction System is in suitable scope.In some embodiments In, when real-time correction factor is between 5%-15%, there is not obvious performance degradation in sub-pixel, can be by simply The gray scale of corresponding sub-pixel in inputted video image could be adjusted to complete amendment.Can be to real-time correction factor in the model The gray value of sub-pixel in enclosing increases the incrementss for being proportional to the correction factor in real time.For example, real-time correction factor For 10% when, the gray value of sub-pixel can also increase by 10%, so as to mitigate display non-uniform phenomenon.
In step S204, carry out image correction when Real Time Correction System is in other suitable scopes.Some are implemented In example, when real-time correction factor is between 15%-50%, sub-pixel has been likely to occur the influences such as threshold voltage shift and caused very Saturation region is no longer operated in TFT, its gray value, which is shown, higher deviation has occurred.Now, it is 15%- by real-time correction factor Driving voltage increase Δ V=sgn (L) C corresponding to sub-pixel between 50%2Ln (L), wherein sgn () are sign function, C2 is positive constant, and L is real-time correction factor.Because sub-pixel performance curve generates difference with other sub-pixels, by defeated Enter image to be adjusted it cannot be guaranteed that correctly correcting deviation, so needing directly to adjust driving voltage.
In certain embodiments, if correction factor is more than 50% in real time, and less than the conjunction for ensuring not occur scene changes Suitable threshold value, then after sample frame finishes, define a repairing efficiency non-overlapping with sample frame, such as 500 milliseconds, 5 seconds Deng.In repairing efficiency adjust input image data in correspond to the sub-pixel gray value with cause the sub-pixel alternately show Maximum gradation value, such as 255 and minimum gradation value, such as 0.At this moment real-time correction factor is excessive, illustrate sub-pixel occur compared with Big performance change, such as there is recoverable bad point.Recoverable bad point for example breaks down because of lcd segment, and causes Sub-pixel breaks down and only shows a kind of wrong gray scale.Now by certain frequency (such as maximum refreshing frequency) alternately Maximum gray scale and minimal gray are shown, high frequency alternately shows the lcd segment that can be stimulated corresponding to the sub-pixel, drive circuit Deng may repair the sub-pixel makes its normal display again.
, can be to the sub- picture of neighbour in some embodiments of relatively large deviation occurs in the gray value of the multiple sub-pixels of neighbour Element carries out the amendment of uniformity, further to increase the uniformity of image in regional area.An if sub-pixel i0Reality When correction factor absolute value more than 15%, during less than 50%, search the adjacent son of same color around a sub-pixel Pixel i1,…,i8Real-time correction factor.Wherein, it is i0Around the pixel of place in 8 nearest neighbor pixels same color sub- picture Element.Only at least one adjacent subpixels i1,…,i8Real-time correction factor be more than i0Real-time correction factor again smaller than 50% When, by the i0Real-time correction factor be revised as at least one adjacent subpixels i1,…,i8The real-time amendment of middle maximum absolute value Coefficient.So, it is possible to reduce the appearance of uneven color lump or noise.
Described above is only example embodiment of the principle of the present invention with the scope of, and those skilled in the art are reading this Other equivalent integers being readily apparent that after text should also belong within scope of the invention.The some characteristics of the description present invention or side The specific term or particular values used during face is also not construed as implying that the scope of the present invention is only limitted to the particular meaning.

Claims (10)

  1. A kind of 1. method corrected in real time to image display, it is characterised in that including:
    Multiple sample frames are monitored in the picture frame continuously displayed;
    The of the image correction parameters of all sub-pixels of each color is calculated in the first sample frame in the multiple sample frame First of the described image corrected parameter of one global mean value and each sub-pixel of each color is not worth, described image amendment Parameter changes for each color according only to the grey scale change of sub-pixel;
    All sub- pictures of each color are calculated in the second sample frame after first sample frame in the multiple sample frame The of second global mean value of the image correction parameters of element and the described image corrected parameter of each sub-pixel of each color Two are not worth;
    Real-time correction factor is determined for each sub-pixel of each color, it is global average that the real-time correction factor is equal to described second Value subtract first global mean value global mean value it is poor with described second not value subtract described first be not worth it is individual Difference between other value difference is again divided by the global mean value is poor;
    Sub-pixel it is described in real time correction factor absolute value within the first interval when, second sample frame it According to the gray value for corresponding to the sub-pixel in the adjustment input image data of correction factor in real time in picture frame afterwards;And
    Sub-pixel it is described in real time correction factor absolute value the second interval more than first interval it When interior, the driving electricity of the sub-pixel is adjusted according to the correction factor in real time in the picture frame after second sample frame Pressure.
  2. 2. the method described in claim 1, it is characterised in that be additionally included in the absolute value of the correction factor in real time of sub-pixel When within the 3rd interval more than second interval, the input is adjusted in pre-defined repairing efficiency Corresponding to the gray value of the sub-pixel to cause the sub-pixel alternately to show maximum gradation value and minimum gradation value in view data, The repairing efficiency is not overlapping with the multiple sample frame in time.
  3. 3. the method described in claim 2, it is characterised in that the described image corrected parameter of wherein each sub-pixel is defined as:
    P=g+C1g3, wherein P is image correction parameters, and g is gray value, C1For the constant less than 1.
  4. 4. the method described in claim 3, it is characterised in that according to right in the adjustment input image data of correction factor in real time It should include increasing the gray value one increments for being proportional to the correction factor in real time in the gray value of the sub-pixel.
  5. 5. the method described in claim 4, it is characterised in that the driving electricity of the sub-pixel is adjusted according to the correction factor in real time Briquetting includes increases incrementss Δ V=sgn (L) C by driving voltage2Ln (| L |), wherein sgn () are sign function, C2For Positive constant, L are the real-time correction factor.
  6. 6. the method described in claim 5, it is characterised in that be additionally included in the exhausted of the correction factor in real time of a sub-pixel During to being worth within second interval, the reality of the adjacent subpixels of same color around a sub-pixel is searched When correction factor, and at least one adjacent subpixels it is described in real time correction factor be more than a sub-pixel institute When stating real-time correction factor and being not at three interval, by the correction factor modification in real time of a sub-pixel For the real-time correction factor of maximum absolute value at least one adjacent subpixels.
  7. 7. the method described in claim 6, it is characterised in that the adjacent subpixels are around sub-pixel place pixel 8 The sub-pixel of same color in individual nearest neighbor pixels.
  8. 8. the method described in claim 7, it is characterised in that second sample frame is display after first sample frame Next frame.
  9. 9. the method described in claim 8, it is characterised in that the multiple sample frame is the multiple frames continuously displayed.
  10. 10. the method described in claim 9, it is characterised in that first interval is more than 5% and less than 15%, described Second interval is more than 15% and less than 50%, and the 3rd interval is more than 50%.
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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1573797A (en) * 2003-06-20 2005-02-02 德国空间宇航中心 Method and apparatus for improving the identification and/or re-identification of objects in image processing
US20080019598A1 (en) * 2006-07-18 2008-01-24 Mitsubishi Electric Corporation Image processing apparatus and method, and image coding apparatus and method
CN102426698A (en) * 2011-11-04 2012-04-25 中国航空工业集团公司洛阳电光设备研究所 Method for enhancing infrared image
CN105205806A (en) * 2015-08-19 2015-12-30 广东科杰机械自动化有限公司 Machine vision based precision compensation method

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1573797A (en) * 2003-06-20 2005-02-02 德国空间宇航中心 Method and apparatus for improving the identification and/or re-identification of objects in image processing
US20080019598A1 (en) * 2006-07-18 2008-01-24 Mitsubishi Electric Corporation Image processing apparatus and method, and image coding apparatus and method
CN102426698A (en) * 2011-11-04 2012-04-25 中国航空工业集团公司洛阳电光设备研究所 Method for enhancing infrared image
CN105205806A (en) * 2015-08-19 2015-12-30 广东科杰机械自动化有限公司 Machine vision based precision compensation method

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