CN102082896B - Method for treating video of liquid crystal display device - Google Patents

Method for treating video of liquid crystal display device Download PDF

Info

Publication number
CN102082896B
CN102082896B CN201110053110.0A CN201110053110A CN102082896B CN 102082896 B CN102082896 B CN 102082896B CN 201110053110 A CN201110053110 A CN 201110053110A CN 102082896 B CN102082896 B CN 102082896B
Authority
CN
China
Prior art keywords
video
frame
motion
liquid crystal
motion picture
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.)
Expired - Fee Related
Application number
CN201110053110.0A
Other languages
Chinese (zh)
Other versions
CN102082896A (en
Inventor
庞志勇
陈弟虎
谭洪舟
桂海田
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.)
Sun Yat Sen University
National Sun Yat Sen University
Original Assignee
National Sun Yat Sen University
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 National Sun Yat Sen University filed Critical National Sun Yat Sen University
Priority to CN201110053110.0A priority Critical patent/CN102082896B/en
Publication of CN102082896A publication Critical patent/CN102082896A/en
Application granted granted Critical
Publication of CN102082896B publication Critical patent/CN102082896B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • Television Systems (AREA)

Abstract

The invention discloses a method for treating a video of a liquid crystal display device, and in the method, interleaving and frame erasure techniques are utilized to lower the video image moving velocity so as to efficiently reduce the streaking phenomenon of the liquid crystal display device. The method comprises the following steps: 1) receiving and caching a to-be-displayed video signal; 2) estimating the motion of a continuous two-frame video and dividing a continuous three-frame video into a video with a smaller motion frame, a video with a proper motion frame and a video with a bigger motion frame; 3) performing frame erasure treatment on the video with the smaller motion frame, eliminating the middle frame of the continuous three-frame video, performing no treatment on the video with the proper motion frame, and performing interleaving treatment on the video with the bigger motion frame by using the interleaving technique based on bidirectional motion estimation and the motion compensation; and 4) finishing integrating the interleaved video and the frame-erased video with the original video and keeping a frame rate of the output video signal equal to the frame rate of the received video signal. The method is suitable for the current mainstream 50Hz/60Hz liquid crystal display device as well as high-class liquid crystal display devices, such as the 100HZ/120HZ/200HZ/240HZ liquid crystal display devices, and the like.

Description

The method for processing video frequency of liquid crystal display
Technical field
The present invention relates to a kind of method for processing video frequency, specifically, relate to a kind of video processing technique of the conditions of streaking for liquid crystal display.
Background technology
Liquid crystal display (LCD) is as a kind of technology with the fastest developing speed in flat display technology, smooth solution along with problems such as its brightness, contrast and visual angles, its coloury advantage is not fully exerted, aspect the display effect of still image and text, catching up with the display effect that has even surpassed ripe CRT, its application has obtained great popularization.In recent years, be used in the development rapidly of LCD panel maximization on PC and TV, at present, with LCD panel, dealer just actively improves dynamic image quality, and the pictograph demonstration aspect of LCD to motion also exists one to be difficult to the defect solving, the problem that Here it is trails.
Research in recent years shows, causes LCD to show that the reason of moving image hangover mainly contains following four aspects: 1) the slow-response process of LCD display material; 2) " sampling-maintenance " characteristic that LCD shows keeps the display brightness of each pixel exactly within the refresh cycle showing; 3) human visual system's (HVS) motion tracking characteristic; 4) human visual system's (HVS) low-frequency filter characteristics.
At present, scholar both domestic and external proposes various ways and improves the situation that this LCD shows moving image hangover, mainly comprises: (1) improves the response speed of liquid crystal pixel; (2) improve the retention performance of LCD; (3) adopt image processing techniques.(1), (2) raising physical property is always limited, for example can not allow the response time of liquid crystal material infinitely small, generally can be between 100-200ms, adopt various technology can bring up to several milliseconds, response speed although it is so can have been improved conditions of streaking better, and, for video image, frame per second is generally between 20-30, at this moment, the retention performance of liquid crystal is the principal element that causes hangover.Even if it is zero that research shows the response time of liquid crystal material, when showing dynamic video, still have conditions of streaking.
In recent years, liquid crystal display frequency doubling technology (claiming again frame rate up-conversion), from original 50HZ/60HZ, brings up to 100HZ/120HZ by liquid crystal display display, even 200HZ/240HZ, has solved to a certain extent liquid crystal display and has shown the conditions of streaking that dynamic video occurs.Why frequency doubling technology can improve conditions of streaking, main cause is: according to Hao Pan etc., at " LCD MOTION BLUR MODELING AND ANALYSIS ", the article pointed out: the width at the fuzzy edge of liquid crystal display dynamic video image is to be directly proportional with the movement velocity of video image pixel, the relation of blurred width w and movement velocity v is approximately: w=0.8VT, T is the frame period, v is that image edge is along x axle movement velocity, by frequency doubling technology, can reduce the movement velocity at image edge, thereby effectively reduce liquid crystal display conditions of streaking.
Liquid crystal display frequency doubling technology, refers to the time point that there is no local reference information between two frames, utilizes the signal reconstruct image of adjacent two frames.As shown in Figure 2, in figure, T represents the time interval between original sequence two successive frames to the basic principle of frequency doubling technology, is called the frame period, F t-1and F t+1for incoming frame sequence, F tfor treating interleave, suppose f infor the frame per second of input image sequence, f outfor the frame per second of output image sequence, introducing parameter k is the frame frequency lifting factor, i.e. f out=kf in, suppose F t-1in 1 A, after elapsed time T, moved a motion vector V i, moved to F t+1b point in frame, P point is is treating interleave F tin treat interpolated point.What the algorithms of different of frame rate up-conversion referred to is exactly to insert F tdistinct methods, how to obtain the pixel value that P is ordered, according to algorithm, whether carried out estimation and corresponding motion compensation, algorithm can be divided into non-motion compensation interleave and motion compensation interleave.Non-motion compensation interleave algorithm is not considered object of which movement, directly utilizes the various combination interpolations of consecutive frame to go out intermediate frame, and for example frame repeats and frame is average.Although these methods are not when there is not object of which movement in image, can access the acceptable interleave for the treatment of of quality, but transport when large when image exists object, interpolation effect can be very poor, frame repeats to produce the obvious motion jumping phenomenon of moving object, and frame on average can be significantly fuzzy in the generation of moving object edge.In order to reduce motion sudden change and fuzzy, motion compensation interleave algorithm is used object of which movement information, adopt estimation to obtain motion vector, and then motion compensated interpolation obtains treating interleave.
Although adopting liquid crystal display frequency doubling technology is a kind of good method of improving liquid crystal display conditions of streaking, but this method can increase liquid crystal display cost, and the liquid crystal display of the 50HZ/60HZ adopting for current domestic consumer's main flow is unpractical.Therefore, be necessary to propose a kind ofly can improve current main flow liquid crystal display and show that the method for conditions of streaking appears in dynamic image.
Summary of the invention
For above deficiency, the invention provides a kind of employing interleave and frame losing technology and effectively reduce video image pixel motion speed, thereby effectively reduce the method for processing video frequency of the liquid crystal display of liquid crystal display conditions of streaking, it comprises:
1) receive vision signal to be shown, carry out buffer memory;
2) vision signal of buffer memory is classified;
3) sorted vision signal is carried out to interleave and frame losing processing;
4) complete the integration of interleave video, frame losing video and original video, the frame per second of maintenance outputting video signal equals the frame per second of the vision signal of reception.
Described step 2) also comprise:
21) continuous videos receiving is carried out to block-based estimation, obtain motion vector MV(f n, f n+1) and MV(f n+1, f n+2);
22) according to motion vector MV(f n, f n+1) and MV(f n+1, f n+2), raw video signal is classified;
F wherein n, f n+1, and f n+2for three continuous frame original videos, n is natural number.
Described step 21) adopt the block-based motion estimation algorithm of full search to carry out block-based estimation to two continuous frames video, the size of piece is 16x16;
Described step 22) the continuous three frame videos that receive are classified, sorted video comprises moderate video and the very large video of motion picture of video, motion picture that motion picture is very little, and the video that described motion picture is very little refers to MV(f n, f n+1) and MV(f n+1, f n+2) value be all less than threshold values T1; The moderate video of described motion picture refers to MV(f n, f n+1) and MV(f n+1, f n+2) one of them value is greater than threshold values T1, is less than threshold values T2, another value is less than T2; The frame of video that described motion picture is very large refers to MV(f n, f n+1) and MV(f n+1, f n+2) value have at least one to be greater than threshold values T2, wherein threshold values T1 is less than threshold values T2.
Described step 3) refers to: the video that motion picture is moderate is not processed; The video very little to motion picture carries out frame losing processing, and the frame of the centre of continuous three frame videos is removed; The video very large to motion picture carries out interleave processing.
Described step 3) adopts the frame interpolation technology based on bi-directional motion estimation and motion compensation to carry out interleave processing to the very large video of motion picture.
The frame video inserting in the very large video of motion picture in described step 3) no longer participates in estimation, directly output.
It adopts a counter to carry out receiver, video, interleave and frame losing and controls, and the initial value of counter is made as 0, and maximum determines by the size of memory, and the minimum value of counter is 2, to guarantee at least to form continuous three frame videos in memory.
Beneficial effect of the present invention: the present invention, by continuous three frame videos being divided into moderate video and the very large video three types of motion picture of video, motion picture that motion picture is very little, does not process the video that motion picture is moderate; The video very little to motion picture carries out frame losing processing, and the frame of the centre of continuous three frame videos is removed; The video very large to motion picture carries out interleave processing, can effectively reduce the movement degree of picture, and then improved the conditions of streaking of liquid crystal display, in addition, the present invention is the 50HZ/60HZ liquid crystal display of applicable current main flow both, is also suitable for the liquid crystal displays such as high-end 100HZ/120HZ/200HZ/240HZ.
Accompanying drawing explanation
Fig. 1 is method for processing video frequency flow chart of the present invention;
Fig. 2 is the basic principle figure of traditional frequency doubling technology;
Fig. 3 is visual classification schematic diagram of the present invention;
Fig. 4 is video interleave of the present invention and frame losing schematic diagram;
Fig. 5 is bi-directional motion estimation theory diagram of the present invention;
Fig. 6 is that the video cycle after video interleave of the present invention and frame losing changes schematic diagram.
Embodiment
Below in conjunction with accompanying drawing, the present invention is further elaborated.
The object of the invention is the conditions of streaking that can show at demonstration dynamic video for current main flow liquid crystal display, a kind of method of improving conditions of streaking is provided, do not need to change liquid crystal display, this method can effectively be improved the quality that dynamic video shows.
As shown in Figure 1, the method for processing video frequency of liquid crystal display of the present invention comprises:
One, receive vision signal to be shown, carry out buffer memory.
Arrange one for calculating the counter of frame number, and for the memory of buffer memory video, wherein, the initial value of counter is 0, the size of maximum memory determines, the minimum value of counter is 2, to guarantee at least to form continuous three frame videos in memory.Start receiver, video, and store (vision signal), every storage one frame video, counter adds 1.
Two, the vision signal of buffer memory is classified.
In memory, after buffer memory two frame videos, counter equals 2, to being cached to the first frame video f1 and the second frame video f2 of memory, carries out block-based estimation, obtains motion vector MV(f1, f2); In memory after buffer memory the 3rd frame video f3, counter equals 3, to being cached to the second frame video f2 and the 3rd frame video f3 of memory, carry out block-based estimation, obtain motion vector MV(f2, f3), the present invention pays the utmost attention to and adopts the block-based motion estimation algorithm of full search to carry out the block-based estimation of two continuous frames video, and the size of piece is 16x16;
According to above-mentioned MV(f1, f2) and MV(f2, f3) result, contrast threshold values T1 and T2, to being cached to the continuous three frame videos of memory, classify, sorted video comprises the video that motion picture is very little (category-A), video (category-B) and the moderate video (C class) of motion picture that motion picture is very large.As shown in Figure 3, the video that described motion picture is very little refers to MV(f1, f2) and the value of MV (f2, f3) be all less than threshold values T1; The moderate video of described motion picture refers to MV(f1, f2) and one of them value of MV (f2, f3) be greater than threshold values T1, be less than threshold values T2, another value is less than T2; The frame of video that described motion picture is very large refers to MV(f1, f2) and the value of MV (f2, f3) have at least one to be greater than threshold values T2, wherein threshold values T1 is less than threshold values T2, threshold values T1 and T2 value are for different video resolutions and difference is determined according to actual conditions, and its unit is pixel/frame.
Three, sorted vision signal is carried out to interleave and frame losing processing.
As shown in Figure 4, according to the classification of continuous three frame videos in step 2, for the very little frame of video of motion picture, we take frame losing technology, a frame in the middle of removing between continuous three frames; For the very large frame of video of motion picture, we adopt frame interpolation technology, adopt based on Motion estimation and compensation frame interpolation technology; The video moderate to motion picture, does not process, and directly output, and the frame video inserting in the very large video of motion picture no longer participates in estimation, directly output.
The present invention adopts counter to control the quantity of interleave/frame losing, when counter equals 3, starts to carry out video output.Every output one frame video is deleted this frame video from memory; Every insertion one frame, counter adds 1; Often lose a frame, counter subtracts 1; Counter minimum value is 2,, when counter is 2, stops frame losing; The maximum of counter determines by the size of memory and the size of frame of video, and be set to 5 here; When counter is less than peaked time, if video belongs to the frame of video that motion picture is very large (picture motion is violent), carry out interleave.When counter equals 5, stop interleave.
The video very large to motion picture (category-B) carries out interleave processing, and we adopt the frame interpolation technology based on Motion estimation and compensation here.Wherein, if estimation adopts one-way movement to estimate, overlapping and empty problem is inevitably, adopts bi-directional motion estimation, and the motion vector of direct estimation interpolation frame, can solve overlapping and empty problem.For a piece of interpolation frame, by the piece at certain displacement place and the piece of contrary displacement place of a frame thereafter in its former frame relatively, find and make both the most similar displacements as the motion vector of this piece, bi-directional motion estimation principle as shown in Figure 5, f n-1, f nand f n+1represent respectively reference frame, interpolation frame and present frame, s is for representing the two-dimensional vector of pixel space position, the motion estimation vectors that v is each interpolated pixel, F n[s] is the pixel value of the s position, space of n frame, B i,ja piece that represents interpolation frame.Suppose that its motion vector is in [a, a], to each the candidate motion vector v within the scope of this, calculate this piece at front frame f n-1after middle movement-v and rear frame f n+1after middle movement+v the two-way absolute difference of each pixel of corresponding blocks and (SBAD:of bilateral absolute difference):
Figure 2011100531100100002DEST_PATH_IMAGE002
The v that searches SBAD minimum value in [a, a] is the estimated motion vector of this piece.
Due to, interleave device is higher to motion vector accuracy requirement, after bi-directional motion estimation, motion vector is revised, we adopt Vector median filtering to carry out motion vector refinement here, after vector correction again, need to carry out motion compensation, carry out interpolation and weigh interpolation frame, we adopt the motion compensation process of medium filtering here, interleave piece B outfor:
Figure 2011100531100100002DEST_PATH_IMAGE004
Wherein, median function is medium filtering function.
The Digital Television of current China of take is example, carries out after interleave and frame losing, and the frame per second of vision signal changes referring to Fig. 6, the frame period of input video is 16.67ms, and after carrying out interleave, video frame period becomes 8.83ms, after carrying out frame losing, video cycle becomes 33.34ms.
Four, complete the integration of interleave video and original video frame, the frame per second of maintenance outputting video signal equals the frame per second of the vision signal of reception.
When counter equals 3, start to carry out video output, the original video, frame losing video and the interleave video that are stored in memory are integrated, refresh rate 50HZ/60HZ liquid crystal display for current main flow, the speed of maintenance video output streams equals the input rate of original video stream, in the present embodiment, referring to Fig. 6, keeping the frame period of video is 16.67ms.
The process of processing with regard to instantiation key diagram picture below, such as f1 ~ f5 is for the five continuous frame videos of input, may have several situations: (K is the piece number of every frame video) below
1, first receive and store the first frame video f1 and the second frame video f2, the first frame video f1 and the second frame video f2 are carried out to estimation and obtain MV 1Kif, MV 1Kin value be all less than T1, memory receives and stores the 3rd frame video f3, then the second frame video f2 and the 3rd frame video f3 are carried out to estimation obtains MV 2Kif, MV 2Kin value be also all less than T1, be classified as category-A, the very little video of motion picture, need to carry out frame losing processing, lose the second frame video f2, counter subtracts 1, and Counter Value is 2, now carries out video output f1, receive and store video f4 simultaneously, (f3, f4) carried out to estimation; Now carry out video output f3, receive and store video f5 simultaneously; F3, f4 and f5 form new continuous three frame videos, then (f4, f5) carried out to estimation, and to f3, f4 with f5 frame is classified and corresponding processing, this hour counter is 2, and continuous three frame videos stop frame losing operation.
2, first receive and store the first frame video f1 and the second frame video f2, the first frame video f1 and the second frame video f2 are carried out to estimation and obtain MV 1Kif, MV 1Kvalue be all less than T1, memory receives and stores the 3rd frame video f3, then the second frame video f2 and the 3rd frame video f3 are carried out to estimation obtains MV 2Kif, MV 2Kin value be all greater than T1, and be less than T2, be classified as C class, the moderate video of motion picture, does not process.Because counter is 3, in memory, video frame number is 3, directly exports the first frame video f1, and receiving storage the 4th frame video f4, f2, f3 and f4 form new continuous three frame videos, then to (f3, f4) carry out estimation, and to f2, f3 with f4 frame is classified and corresponding processing.
3, first receive and store the first frame video f1 and the second frame video f2, the first frame video f1 and the second frame video f2 are carried out to estimation and obtain MV 1Kif, MV 1Kvalue be all less than T1, memory receives and stores the 3rd frame video f3, then the second frame video f2 and the 3rd frame video f3 are carried out to estimation obtains MV 2Kif, MV 2Kin value have one to be greater than T2, be classified as category-B, i.e. the very large video of motion picture, need to carry out interleave processing, between the second frame video f2 and the 3rd frame video f3, insert fa2 frame, counter adds 1, because this hour counter is 4, the video frame number in memory is 4; Export and delete f1, receive simultaneously and store f4, (f3, f4) carried out to estimation; Export and delete f2, receive simultaneously and store f5, (f4, f5) carried out to estimation; Export and delete fa2, receive simultaneously and store f6; F3, f4 and f 5 forms new continuous three frame videos, to f3, f4 with f5 frame is classified and corresponding processing.
4, first receive and store the first frame video f1 and the second frame video f2, the first frame video f1 and the second frame video f2 are carried out to estimation and obtain MV 1Kif, MV 1Kin value be all greater than T1, and be less than T2, memory receives and stores the 3rd frame video f3, then the second frame video f2 and the 3rd frame video f3 are carried out to estimation obtains MV 2Kif, MV 2Kin value be all less than T2 or T1, be classified as C class, the moderate video of motion picture, does not process, and directly exports the first frame video f1 and receives storage the 4th frame video f4.F2, f3 and f 4 forms new continuous three frame videos, then (f3, f4) carried out to estimation, and to f2, f3 with f4 frame is classified and corresponding processing.
5, first receive and store the first frame video f1 and the second frame video f2, the first frame video f1 and the second frame video f2 are carried out to estimation and obtain MV 1Kif, MV 1Kin value have one to be greater than T2, directly between the first frame video f1 and the second frame video f2, insert fa1 frame, counter adds 1, this hour counter is 3, receives and store f3, then the second frame video f2 and the 3rd frame video f3 are carried out to estimation obtains MV 2Kif, MV 2Kin value neither one be greater than T2, do not carry out Video processing, continuous three frame video f1, f2 and f3 are classified as the video that motion picture is very large (category-B).Export and delete f1 and reception and store f4; F2, f3 and f4 form new continuous three frame videos, then (f3, f4) carried out to estimation, and to f2, f3 with f4 frame is classified and corresponding processing.
6, first receive and store the first frame video f1 and the second frame video f2, the first frame video f1 and the second frame video f2 are carried out to estimation and obtain MV 1Kif, MV 1Kin value have one to be greater than T2, directly between the first frame video f1 and the second frame video f2, insert fa1 frame, counter adds 1, this hour counter is 3, receives and store f3, then the second frame video f2 and the 3rd frame video f3 are carried out to estimation obtains MV 2Kif, MV 2Kin value have one to be greater than T2, directly between the first frame video f2 and the second frame video fa3, insert fa2 frame, number devices add 1, this hour counter is 5, continuous three frame video f1, f2 and f3 are classified as the video that motion picture is very large (category-B).Export and delete f1 and reception and store f4, export and delete fa1 and reception and store f5; F3, f4 and f 5 forms new continuous three frame videos, then (f4, f5) carried out to estimation, and to f3, f4 with f5 frame is classified and corresponding processing, at this moment, even if belong to the video that motion picture is very large (category-B), also do not carry out interleave operation.
The foregoing is only better embodiment of the present invention, the present invention is not limited to above-mentioned execution mode, in implementation process, may exist local small step to change, if change of the present invention is not departed to the spirit and scope of the present invention, and within belonging to claim of the present invention and equivalent technologies scope, the present invention is also intended to comprise these changes and modification.

Claims (4)

1. a method for processing video frequency for liquid crystal display, is characterized in that, it comprises:
1) receive vision signal to be shown, carry out buffer memory;
2) vision signal of buffer memory is classified;
3) sorted vision signal is carried out to interleave and frame losing processing;
4) complete the integration of interleave video, frame losing video and original video, the frame per second of maintenance outputting video signal equals the frame per second of the vision signal of reception;
Wherein, described step 2) also comprise:
21) the continuous video receiving is carried out to block-based estimation, obtain motion vector MV(f n, f n+1) and MV(f n+1, f n+2);
22) according to motion vector MV(f n, f n+1) and MV(f n+1, f n+2), raw video signal is classified;
F wherein n, f n+1, and f n+2for three continuous frame original videos, n is natural number;
Further, described step 21) adopt the block-based motion estimation algorithm of full search to carry out block-based estimation to two continuous frames video, the size of piece is 16x16;
Described step 22) the continuous three frame videos that receive are classified, sorted video comprises moderate video and the very large video of motion picture of video, motion picture that motion picture is very little, and the video that described motion picture is very little refers to MV(f n, f n+1) and MV(f n+1, f n+2) value be all less than threshold value T1; The moderate video of described motion picture refers to MV(f n, f n+1) and MV(f n+1, f n+2) one of them value is greater than threshold value T1, is less than threshold value T2, another value is less than T2; The frame of video that described motion picture is very large refers to MV(f n, f n+1) and MV(f n+1, f n+2) value have at least one to be greater than threshold value T2, wherein threshold value T1 is less than threshold value T2;
In addition, described step 3) refers to: the video that motion picture is moderate is not processed; The video very little to motion picture carries out frame losing processing, and the frame of the centre of continuous three frame videos is removed; The video very large to motion picture carries out interleave processing.
2. the method for processing video frequency of liquid crystal display according to claim 1, is characterized in that, described step 3) adopts the frame interpolation technology based on bi-directional motion estimation and motion compensation to carry out interleave processing to the very large video of motion picture.
3. the method for processing video frequency of liquid crystal display according to claim 1, is characterized in that, the frame video inserting in the very large video of motion picture in described step 3) no longer participates in estimation, directly output.
4. the method for processing video frequency of liquid crystal display according to claim 3, it is characterized in that, it adopts a counter to carry out receiver, video, interleave and frame losing and controls, the initial value of counter is made as 0, maximum is determined by the size of memory, the minimum value of counter is 2, to guarantee at least to form continuous three frame videos in memory.
CN201110053110.0A 2011-03-04 2011-03-04 Method for treating video of liquid crystal display device Expired - Fee Related CN102082896B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201110053110.0A CN102082896B (en) 2011-03-04 2011-03-04 Method for treating video of liquid crystal display device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201110053110.0A CN102082896B (en) 2011-03-04 2011-03-04 Method for treating video of liquid crystal display device

Publications (2)

Publication Number Publication Date
CN102082896A CN102082896A (en) 2011-06-01
CN102082896B true CN102082896B (en) 2014-04-16

Family

ID=44088640

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201110053110.0A Expired - Fee Related CN102082896B (en) 2011-03-04 2011-03-04 Method for treating video of liquid crystal display device

Country Status (1)

Country Link
CN (1) CN102082896B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109474857A (en) * 2018-11-26 2019-03-15 青岛海信电器股份有限公司 A kind of image processing method and device

Families Citing this family (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103517124B (en) * 2012-06-29 2016-12-21 鸿富锦精密工业(深圳)有限公司 Video broadcasting method
CN103634599B (en) * 2012-08-28 2017-07-04 北京京东方光电科技有限公司 A kind of method for processing video frequency, device and display device
KR20150101779A (en) * 2014-02-27 2015-09-04 엘지디스플레이 주식회사 Image Display Device And Motion Blur Relieving Method Thereof
CN105828184A (en) * 2015-08-31 2016-08-03 维沃移动通信有限公司 Video processing method and mobile terminal
CN109756778B (en) * 2018-12-06 2021-09-14 中国人民解放军陆军工程大学 Frame rate conversion method based on self-adaptive motion compensation
US11403979B2 (en) 2019-06-20 2022-08-02 Apple Inc. Dynamic persistence for judder reduction
CN110855908B (en) * 2019-11-18 2022-09-27 中移(杭州)信息技术有限公司 Multi-party video screen mixing method and device, network equipment and storage medium
CN114898577B (en) * 2022-07-13 2022-09-20 环球数科集团有限公司 Road intelligent management system and method for peak road management

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1716373A (en) * 2004-06-14 2006-01-04 创世纪微芯片公司 LCD blur reduction through frame rate control
CN101189882A (en) * 2004-07-20 2008-05-28 高通股份有限公司 Method and apparatus for encoder assisted-frame rate up conversion (EA-FRUC) for video compression
CN101217657A (en) * 2008-01-08 2008-07-09 北京中星微电子有限公司 A frame rate control method and device

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP4643727B2 (en) * 2009-05-29 2011-03-02 株式会社東芝 Image processing apparatus and image processing method

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1716373A (en) * 2004-06-14 2006-01-04 创世纪微芯片公司 LCD blur reduction through frame rate control
CN101189882A (en) * 2004-07-20 2008-05-28 高通股份有限公司 Method and apparatus for encoder assisted-frame rate up conversion (EA-FRUC) for video compression
CN101217657A (en) * 2008-01-08 2008-07-09 北京中星微电子有限公司 A frame rate control method and device

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109474857A (en) * 2018-11-26 2019-03-15 青岛海信电器股份有限公司 A kind of image processing method and device
CN109474857B (en) * 2018-11-26 2021-06-01 海信视像科技股份有限公司 Image processing method and device

Also Published As

Publication number Publication date
CN102082896A (en) 2011-06-01

Similar Documents

Publication Publication Date Title
CN102082896B (en) Method for treating video of liquid crystal display device
CN105872432B (en) The apparatus and method of quick self-adapted frame rate conversion
CN102088589B (en) Frame rate conversion using bi-directional, local and global motion estimation
CN100389601C (en) Video electronic flutter-proof device
CN106210767A (en) A kind of video frame rate upconversion method and system of Intelligent lifting fluidity of motion
CN103402098B (en) A kind of video frame interpolation method based on image interpolation
US8508659B2 (en) System and method for frame rate conversion using multi-resolution temporal interpolation
CN104219533B (en) A kind of bi-directional motion estimation method and up-conversion method of video frame rate and system
CN102685437A (en) Method and monitor for compensating video image
CN103369208B (en) Self adaptation interlace-removing method and device
CN101518066A (en) Image displaying device and method, and image processing device and method
CN101803361A (en) Method an apparatus for line based vertical motion estimation and compensation
CN104717509B (en) A kind of video encoding/decoding method and device
CN101674448B (en) Video signal processing device, video signal processing method
CN103179325A (en) Self-adaptive 3D (Three-Dimensional) noise reduction method for low signal-to-noise ratio video under fixed scene
CN112488922B (en) Super-resolution processing method based on optical flow interpolation
CN109688407A (en) Reference block selection method, device, electronic equipment and the storage medium of coding unit
US10230920B1 (en) Adjusting interpolation phase for MEMC using image analysis
CN102497525B (en) Motion compensation deinterlacing method
CN103905692A (en) Simple 3D noise reduction algorithm base on motion detection
CN113411581B (en) Motion compensation method, system, storage medium and terminal for video sequence
CN102340663B (en) Image motion estimation method and device
CN105657319B (en) The method and system of candidate vector penalty value are controlled in ME based on feature dynamic
CN1549593A (en) Multi-window multi-threshold method for picture element static detection
CN102630014A (en) Bidirectional motion estimation device for production of interpolated frame based on front reference frame and rear reference frame

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20140416

Termination date: 20180304