CN106303339A - A kind of new block overlapped motion compensation interlace-removing method - Google Patents

A kind of new block overlapped motion compensation interlace-removing method Download PDF

Info

Publication number
CN106303339A
CN106303339A CN201610701090.6A CN201610701090A CN106303339A CN 106303339 A CN106303339 A CN 106303339A CN 201610701090 A CN201610701090 A CN 201610701090A CN 106303339 A CN106303339 A CN 106303339A
Authority
CN
China
Prior art keywords
interpolation
pixel
matched piece
line
matched
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201610701090.6A
Other languages
Chinese (zh)
Other versions
CN106303339B (en
Inventor
张涛
陈有志
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.)
Tianjin University
Original Assignee
Tianjin 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 Tianjin University filed Critical Tianjin University
Priority to CN201610701090.6A priority Critical patent/CN106303339B/en
Publication of CN106303339A publication Critical patent/CN106303339A/en
Application granted granted Critical
Publication of CN106303339B publication Critical patent/CN106303339B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00Television systems
    • H04N7/01Conversion of standards, e.g. involving analogue television standards or digital television standards processed at pixel level
    • H04N7/0117Conversion of standards, e.g. involving analogue television standards or digital television standards processed at pixel level involving conversion of the spatial resolution of the incoming video signal
    • H04N7/012Conversion between an interlaced and a progressive signal
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00Details of television systems
    • H04N5/14Picture signal circuitry for video frequency region

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Graphics (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Television Systems (AREA)
  • Image Analysis (AREA)

Abstract

A kind of new block overlapped motion compensation interlace-removing method: for first of interlaced video sequence, uses field internal information to carry out interpolation and obtains rebuilding image, choose reference frame and an interpolation field;Choosing to be matched piece from interpolation field, the odd number provisional capital in be matched piece is original image vegetarian refreshments position, and even number provisional capital is interpolation pixel position, two adjacent to be matched piece of shared a line when choosing to be matched piece next time when, in longitudinal direction;From reference frame, choose rectangular search window, make the center of the position correspondence rectangular search window of match block;Best matching blocks is found in rectangular search window;Row average algorithm is utilized to obtain the interpolation of motion compensated interpolation point;The mode using medium filtering stops error propagation;Process for interpolation field border condition.The present invention solves error propagation problem based on block overlapped motion compensation de interlacing algorithm, the relatively low problem of interpolation precision and the higher problem of computation complexity, provides preferable de interlacing effect in the case of relatively low computation complexity.

Description

A kind of new block overlapped motion compensation interlace-removing method
Technical field
The present invention relates to the interlace-removing method in a kind of Video processing.Particularly relate to a kind of new block overlapped motion compensation Interlace-removing method.
Background technology
At present, the radio data system of some main flows uses interleaved format analysis processing video signal.For some Only support the playback equipment of progressive scan, relate to video signal here and turned to the form of progressive scan to change by interlacing scan Process, this form transformation process is referred to as de interlacing.Interlacing scan can cause interline flicker, crenellated phenomena, creeps and sprout wings The dysopia such as phenomenon.Therefore, de-interlaced purpose is exactly the pixel value of interpolation disappearance, and regarding of removing that interlacing scan causes Feel defect.
Studying for de interlacing, forefathers are made that extensive work, it is proposed that various de interlacing algorithms.This mainly wraps Include spatial domain interpolation, time domain interpolation, vertical time-domain filtering interpolation, based on edge interpolation, based on Power Interpolation etc..Spatial domain interpolation master If utilizing the pixel that spatial information (si) interpolation lacks, in moving region performance preferably.Time domain interpolation is believed mainly by time domain The pixel of breath interpolation disappearance, in stagnant zone performance preferably.The vertical comprehensive time-domain information of time-domain filtering interpolation and spatial information (si), The pixel of interpolation disappearance, in the performance of motion amplitude smaller area preferably.Based on edge interpolation with based on Power Interpolation all right and wrong Linear de interlacing algorithm, they can be in any case, it is provided that preferably effect.
Being the most more advanced de interlacing algorithm based on motion compensation de interlacing algorithm, it can carry in some cases For than the non-motion compensated more preferable effect of de interlacing algorithm.This algorithm finds out, generally by estimation, the letter that effectively moves Breath, by the pixel of effective movable information interpolation disappearance, thus reaches de-interlaced purpose.Main method for estimating Having Bayes's estimation, block-based motion estimation etc., wherein block-based motion estimation is due to relatively easy feasible, has obtained wide General use.
The motion compensation de interlacing algorithm overlapping based on block uses block-based motion estimation.This algorithm is at motion amplitude not Big region can provide preferable de interlacing effect, but this algorithm has, and error propagation, interpolation precision be relatively low, computation complexity More high defect.
Summary of the invention
The technical problem to be solved is to provide one and can provide relatively in the case of relatively low computation complexity The new block overlapped motion compensation interlace-removing method of good de interlacing effect.
The technical solution adopted in the present invention is: a kind of new block overlapped motion compensation interlace-removing method, including walking as follows Rapid:
1) for first of interlaced video sequence, use field internal information to carry out interpolation and obtain rebuilding image, choose Reference frame and an interpolation field, described interpolation field is to rebuild based on reference frame before, and described reference frame is and institute State front n the reconstruction image that interpolation field is the most adjacent;
2) choosing to be matched piece from interpolation field, the size of to be matched piece is m × (2n+1), and wherein m is to be matched piece Columns, (2n+1) is the line number of to be matched piece, and the odd number provisional capital in be matched piece is original image vegetarian refreshments position, and even number provisional capital is Interpolation pixel position, two adjacent to be matched piece of shared a line when choosing to be matched piece next time when, in longitudinal direction;
3) from reference frame, choose rectangular search window, make step 2) described in the corresponding described rectangle in position of to be matched piece The center of search window;
4) in rectangular search window, best matching blocks is found, including:
First, the pixel having obtained interpolation in be matched piece in original pixel and search window is only used during search Point scans for, and wherein is referred to as rebuilding pixel by the pixel having obtained interpolation in search window;
(1) choose the match block with to be matched piece of formed objects from the upper left position of search window and start search, make to treat Join the reconstruction pixel in the corresponding described match block of the original image vegetarian refreshments in block, a described match block is carried out coupling behaviour Make;
(2) level moves right a position rebuilding pixel, again chooses and the match block of to be matched piece of formed objects Carry out matching operation, until the end of this line;
(3) then move down two row, leftmost position the most again choose match block with to be matched piece of formed objects by From left to right carries out matching operation successively, until all of reconstruction pixel all completes matching operation in search window;
5) row average algorithm is utilized to obtain motion compensated interpolation point (i, interpolation I j)LA(i,j);
6) mode of medium filtering is used to stop error propagation, including: for step 4) motion compensated interpolation that obtainsWith motion compensated interpolation point (i, j) adjacent lastrow pixel value I (and i-1, j) and motion compensated interpolation point (i, j) phase Motion compensated interpolation point (i, interpolation I j) that adjacent next line pixel value I (i+1, j) and step 5) obtainsLA(i, j) totally four Individual value carries out medium filtering, medium filtering the average of two values in centre obtained be final interpolation result F (i, j), wherein, The calculation expression of final interpolation is as follows:
F ( i , j ) = m e d I ( i - 1 , j ) I ( i + 1 , j ) I ^ ( i , j ) I L A ( i , j ) ÷ 2 - - - ( 2 ) ;
7) for the process of interpolation field border condition, including: when interpolation field is odd field, for the interpolation of bottom row, It is by extending downwards a line with bottom row for axial symmetry, repeats step 2) to step 6);When interpolation field is even field, for top The interpolation of row, is by extending up a line with top line for axial symmetry, repeats step 2) to step 6).
Step 2) described in longitudinal direction on two adjacent to be matched piece of shared a line, be longitudinally upper two adjacent to be matched piece The next line in be matched piece and the lastrow in following to be matched piece above in are same a line.
Step 4) described in matching operation, including when in the pixel value rebuilding pixel in match block and to be matched piece with Rebuild the pixel value of the corresponding original image vegetarian refreshments of pixel closest to time, using described match block as best matching blocks, During in best matching blocks, the pixel value of original pixel copies to be matched piece, pixel original with best matching blocks is corresponding Interpolation pixel position, thus obtain the interpolation of motion compensation
Step 5) described in utilize row average algorithm obtain motion compensated interpolation point (i, interpolation I j)LA(i, calculating j) Expression formula is as follows:
ILA(i, j)=[I (and i-1, j)+I (i+1, j)] ÷ 2 (1)
Wherein, (i-1 is j) that ((i+1 j) is and fortune I for i, j) adjacent lastrow pixel value with motion compensated interpolation point to I Dynamic compensation interpolation point (i, j) adjacent next line pixel value.
A kind of new block overlapped motion compensation interlace-removing method of the present invention, efficiently solves traditional transporting based on block overlap The dynamic compensation error propagation problem of de interlacing algorithm, the relatively low problem of interpolation precision and the higher problem of computation complexity, it is possible to relatively Preferable de interlacing effect is provided in the case of low computation complexity.Have the advantages that
1, error propagation problem has effectively been contained so that PSNR maintains a higher scope;
2, identical in view of the parity rebuilding pixel value in original pixel value in be matched piece and search window, the most only adopt Carrying out estimation with this two classes pixel value, interpolation precision obtains certain lifting, and wherein the PSNR of second is than tradition PSNR height about 1dB based on block overlapped motion compensation de interlacing algorithm;
3, in motion estimation process, only using in search window and rebuild pixel value, therefore data volume is substantially reduced, and calculates multiple Miscellaneous degree is significantly reduced.
Accompanying drawing explanation
Fig. 1 is the block overlap schematic diagram of to be matched piece of block overlapped motion compensation interlace-removing method new in the present invention;
Fig. 2 is the schematic diagram of Block-matching mode in block overlapped motion compensation interlace-removing method new in the present invention;
Fig. 3 is the video sequence figure used by the test of block overlapped motion compensation interlace-removing method new in the present invention;
Fig. 4 is interlace-removing method of the present invention and tradition reconstructed image quality based on block overlapped motion compensation de interlacing algorithm Contrast.
Detailed description of the invention
Below in conjunction with embodiment and accompanying drawing, a kind of new block overlapped motion compensation interlace-removing method of the present invention is made in detail Describe in detail bright.
A kind of new block overlapped motion compensation interlace-removing method of the present invention, comprises the steps:
1) for first of interlaced video sequence, use field internal information to carry out interpolation and obtain rebuilding image, choose Reference frame and an interpolation field, described interpolation field is to rebuild based on reference frame before, and described reference frame is and institute State front n the reconstruction image that interpolation field is the most adjacent.
2) choosing to be matched piece from interpolation field, the size of to be matched piece is m × (2n+1), and wherein m is to be matched piece Columns, (2n+1) is the line number of to be matched piece, and the odd number provisional capital in be matched piece is original image vegetarian refreshments position, and even number provisional capital is Interpolation pixel position, when choosing to be matched piece next time when, two adjacent to be matched piece of shared a line in longitudinal direction, institute Two adjacent to be matched piece of shared a line in the longitudinal direction stated, are to be matched pieces in longitudinal upper two adjacent to be matched piece above In next line and following to be matched piece in lastrow be same a line.
3) from reference frame, choose rectangular search window, make step 2) described in the corresponding described rectangle in position of to be matched piece The center of search window.
4) in rectangular search window, best matching blocks is found, including:
First, the pixel having obtained interpolation in be matched piece in original pixel and search window is only used during search Point scans for, and wherein is referred to as rebuilding pixel by the pixel having obtained interpolation in search window;
(1) choose the match block with to be matched piece of formed objects from the upper left position of search window and start search, make to treat Join the reconstruction pixel in the corresponding described match block of the original image vegetarian refreshments in block, a described match block is carried out coupling behaviour Make;
(2) level moves right a position rebuilding pixel, again chooses and the match block of to be matched piece of formed objects Carry out matching operation, until the end of this line;
(3) then move down two row, leftmost position the most again choose match block with to be matched piece of formed objects by From left to right carries out matching operation successively, until all of reconstruction pixel all completes matching operation in search window;
Matching operation recited above, including when in the pixel value rebuilding pixel in match block and to be matched piece with reconstruction The pixel value of the original image vegetarian refreshments that pixel is corresponding closest to time, using described match block as best matching blocks, optimal Corresponding to be inserted of pixel original with best matching blocks during the pixel value of original pixel copies to be matched piece in match block Value pixel position, thus obtain the interpolation of motion compensation
Fig. 2 is the schematic diagram of coupling when the size of to be matched piece is 4 × 3, specific as follows, when D1~D8 and O1~O8 Close to time, being considered as this match block is best matching blocks, then I in be matched piece1~I4Just by R1~R4It is filled with, and then Obtain the interpolation of motion compensation.
5) row average algorithm is utilized to obtain motion compensated interpolation point (i, interpolation I j)LA(i, j), described utilization row is average Motion compensated interpolation point (i, interpolation I j) that algorithm obtainsLA(i, calculation expression j) is as follows:
ILA(i, j)=[I (and i-1, j)+I (i+1, j)] ÷ 2 (1)
Wherein, (i-1 is j) that ((i+1 j) is and fortune I for i, j) adjacent lastrow pixel value with motion compensated interpolation point to I Dynamic compensation interpolation point (i, j) adjacent next line pixel value.
6) in order to solve the problem of error propagation in primal algorithm, the mode of medium filtering is used to stop error to pass here Pass, including: for step 4) motion compensated interpolation that obtainsWith motion compensated interpolation point (i, j) adjacent lastrow picture Element value I (i-1, j) and motion compensated interpolation point (i, j) adjacent next line pixel value I (i+1, j) and step 5) obtain Motion compensated interpolation point (i, interpolation I j)LA(i, j) totally four values carry out medium filtering, medium filtering two, the centre obtained The average of value be final interpolation result F (i, j), wherein, the calculation expression of final interpolation is as follows:
F ( i , j ) = m e d I ( i - 1 , j ) I ( i + 1 , j ) I ^ ( i , j ) I L A ( i , j ) ÷ 2 - - - ( 2 ) ;
7) for the process of interpolation field border condition, including: when interpolation field is odd field, for the interpolation of bottom row, It is by extending downwards a line with bottom row for axial symmetry, repeats step 2) to step 6);When interpolation field is even field, for top The interpolation of row, is by extending up a line with top line for axial symmetry, repeats step 2) to step 6).
Fig. 4 represents the reconstructed image quality and traditional mending based on block overlapped motion that the put forward interlace-removing method of the present invention obtains Repaying the reconstructed image quality contrast that de interlacing algorithm (overlappedMC) obtains, measurement index uses PSNR parameter.Test regards Frequency sequence uses splash, and its resolution is 720 × 576.
Table 1 is multiple by the carried interlace-removing method of the present invention and traditional calculating based on block overlapped motion compensation de interlacing algorithm Miscellaneous degree contrast.The mode of calculating correction values complexity uses the various number of calculations required for one pixel of interpolation.
Table 1
The preferred forms of the inventive method be presented herein below:
1, for first of interlaced video sequence, use row average interpolation algorithm to carry out interpolation, obtain reconstruction figure Picture, chooses an interpolation field and a reference frame, and wherein reference frame is adjacent with on this interpolation field time previous heavy Build image.The calculation expression of row average algorithm is as shown in (1) formula.
2, choosing to be matched piece from interpolation field, the size of to be matched piece is that 4 × 3, lastrow and next line are The position of original pixels, middle row is missing from the position of pixel.When choosing to be matched piece next time when, two in its longitudinal direction Individual adjacent to be matched piece of shared a line, namely the next line of to be matched piece and the lastrow of following to be matched piece are above Same a line, as shown in Figure 1.
3, choosing search window from reference frame, the size of search window is 16 × 16, the position in the most to be matched piece of upper left corner The position upper left position of search window (assumes be (0,0)) of (7,7) in corresponding search window.
4, finding best matching blocks in search window, the matching criterior of employing is as follows:
S A D = Σ i = 1 8 | D i - O i | - - - ( 3 )
For match block different in search window, it is believed that the block of sad value minimum is best matching blocks, then in be matched piece I1~I4Just by R1~R4Being filled with, thus obtain the interpolation of motion compensation, Fig. 2 is relevant schematic diagram.
5, the motion compensated interpolation obtained for previous stepThe lastrow pixel value I (i-adjacent with this interpolation (i+1 j), utilizes interpolation I of this position that row average algorithm obtains for 1, j) adjacent with this interpolation next line pixel value ILA(i, J) totally four values carry out medium filtering, and its result is obtained by the average of middle two values.Wherein, this average i.e. last (i, j) is obtained interpolation result F by (2) formula, interpolation I that row average algorithm obtainsLA(i j) is obtained by (1) formula.

Claims (4)

1. a new block overlapped motion compensation interlace-removing method, it is characterised in that comprise the steps:
1) for first of interlaced video sequence, use field internal information to carry out interpolation and obtain rebuilding image, choose reference Frame and an interpolation field, described interpolation field is to rebuild based on reference frame before, and described reference frame is to treat with described Front n the reconstruction image that interpolation field is the most adjacent;
2) choosing to be matched piece from interpolation field, the size of to be matched piece is m × (2n+1), and wherein m is the row of to be matched piece Number, (2n+1) is the line number of to be matched piece, and the odd number provisional capital in be matched piece is original image vegetarian refreshments position, and even number provisional capital is to be inserted Value pixel position, two adjacent to be matched piece of shared a line when choosing to be matched piece next time when, in longitudinal direction;
3) from reference frame, choose rectangular search window, make step 2) described in the corresponding described rectangular search in position of to be matched piece The center of window;
4) in rectangular search window, best matching blocks is found, including:
First, the pixel having obtained interpolation in be matched piece in original pixel and search window is only used to click on during search Line search, wherein is referred to as rebuilding pixel by the pixel having obtained interpolation in search window;
(1) choose the match block with to be matched piece of formed objects from the upper left position of search window and start search, make to be matched piece In the corresponding described match block of original image vegetarian refreshments in reconstruction pixel, a described match block is carried out matching operation;
(2) level moves right a position rebuilding pixel, again chooses the match block with to be matched piece of formed objects and carries out Matching operation, until the end of this line;
(3) then move down two row, the most again choose the match block with to be matched piece of formed objects by left-hand at leftmost position The right side carries out matching operation successively, until all of reconstruction pixel all completes matching operation in search window;
5) row average algorithm is utilized to obtain motion compensated interpolation point (i, interpolation I j)LA(i,j);
6) mode of medium filtering is used to stop error propagation, including: for step 4) motion compensated interpolation that obtainsWith Motion compensated interpolation point (i, j) adjacent lastrow pixel value I (i-1, j) and motion compensated interpolation point (i, j) adjacent next Motion compensated interpolation point (i, interpolation I j) that row pixel value I (i+1, j) and step 5) obtainsLA(i, j) totally four values are carried out Medium filtering, medium filtering the average of two values in centre obtained be final interpolation result F (i, j), wherein, final interpolation Calculation expression as follows:
F ( i , j ) = m e d I ( i - 1 , j ) I ( i + 1 , j ) I ^ ( i , j ) I L A ( i , j ) ÷ 2 - - - ( 2 ) ;
7) for the process of interpolation field border condition, including: when interpolation field is odd field, for the interpolation of bottom row, it is logical Cross and extend downwards a line with bottom row for axial symmetry, repeat step 2) to step 6);When interpolation field is even field, for top line Interpolation, is by extending up a line with top line for axial symmetry, repeats step 2) to step 6).
A kind of new block overlapped motion compensation interlace-removing method the most according to claim 1, it is characterised in that step 2) institute Two adjacent to be matched piece of shared a line in the longitudinal direction stated, are to be matched pieces in longitudinal upper two adjacent to be matched piece above In next line and following to be matched piece in lastrow be same a line.
A kind of new block overlapped motion compensation interlace-removing method the most according to claim 1, it is characterised in that step 4) in Described matching operation, including when match block is rebuild the pixel value of pixel with to be matched piece in corresponding with rebuilding pixel Original image vegetarian refreshments pixel value closest to time, using described match block as best matching blocks, original in best matching blocks The pixel value of pixel copies to the interpolation pixel position that pixel original with best matching blocks in be matched piece is corresponding, Thus obtain the interpolation of motion compensation
A kind of new block overlapped motion compensation interlace-removing method the most according to claim 1, it is characterised in that step 5) institute The row average algorithm that utilizes stated obtains motion compensated interpolation point (i, interpolation I j)LA(i, calculation expression j) is as follows:
ILA(i, j)=[I (and i-1, j)+I (i+1, j)] ÷ 2 (1)
Wherein, (i-1 is j) that ((i+1 is j) to mend with motion to I for i, j) adjacent lastrow pixel value with motion compensated interpolation point to I Repay interpolation point (i, j) adjacent next line pixel value.
CN201610701090.6A 2016-08-19 2016-08-19 A kind of new block overlapped motion compensation interlace-removing method Active CN106303339B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610701090.6A CN106303339B (en) 2016-08-19 2016-08-19 A kind of new block overlapped motion compensation interlace-removing method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610701090.6A CN106303339B (en) 2016-08-19 2016-08-19 A kind of new block overlapped motion compensation interlace-removing method

Publications (2)

Publication Number Publication Date
CN106303339A true CN106303339A (en) 2017-01-04
CN106303339B CN106303339B (en) 2019-02-15

Family

ID=57662288

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610701090.6A Active CN106303339B (en) 2016-08-19 2016-08-19 A kind of new block overlapped motion compensation interlace-removing method

Country Status (1)

Country Link
CN (1) CN106303339B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109951713A (en) * 2019-03-11 2019-06-28 深圳信息职业技术学院 A kind of motion estimation and compensation circuit and method for video deinterlacing

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2007011732A1 (en) * 2005-07-15 2007-01-25 Enuclia Semiconductor, Inc. Video image processing with processing time allocation
US20070165957A1 (en) * 2004-06-30 2007-07-19 Koninklijke Philips Electronics, N.V. Motion estimation with video mode detection
CN101018286A (en) * 2007-02-09 2007-08-15 天津大学 De-interlacing method with the motive detection and self-adaptation weight filtering
CN101247472A (en) * 2008-03-26 2008-08-20 北京航空航天大学 De-interlacing processing method based on movement compensation
CN101360211A (en) * 2008-09-04 2009-02-04 华为技术有限公司 Interlace removing method, apparatus and system
CN101360238A (en) * 2007-07-13 2009-02-04 索尼株式会社 Image processing device, image processing method and program
CN101510985A (en) * 2009-02-27 2009-08-19 西安交通大学 Self-adapting de-interleave method for movement compensation accessory movement
CN102025960A (en) * 2010-12-07 2011-04-20 浙江大学 Motion compensation de-interlacing method based on adaptive interpolation
CN103369208A (en) * 2013-07-15 2013-10-23 青岛海信信芯科技有限公司 Self-adaptive de-interlacing method and device
CN103841427A (en) * 2012-11-27 2014-06-04 炬力集成电路设计有限公司 Method for sliding search window and device thereof

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070165957A1 (en) * 2004-06-30 2007-07-19 Koninklijke Philips Electronics, N.V. Motion estimation with video mode detection
WO2007011732A1 (en) * 2005-07-15 2007-01-25 Enuclia Semiconductor, Inc. Video image processing with processing time allocation
CN101018286A (en) * 2007-02-09 2007-08-15 天津大学 De-interlacing method with the motive detection and self-adaptation weight filtering
CN101360238A (en) * 2007-07-13 2009-02-04 索尼株式会社 Image processing device, image processing method and program
CN101247472A (en) * 2008-03-26 2008-08-20 北京航空航天大学 De-interlacing processing method based on movement compensation
CN101360211A (en) * 2008-09-04 2009-02-04 华为技术有限公司 Interlace removing method, apparatus and system
CN101510985A (en) * 2009-02-27 2009-08-19 西安交通大学 Self-adapting de-interleave method for movement compensation accessory movement
CN102025960A (en) * 2010-12-07 2011-04-20 浙江大学 Motion compensation de-interlacing method based on adaptive interpolation
CN103841427A (en) * 2012-11-27 2014-06-04 炬力集成电路设计有限公司 Method for sliding search window and device thereof
CN103369208A (en) * 2013-07-15 2013-10-23 青岛海信信芯科技有限公司 Self-adaptive de-interlacing method and device

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
岳雷飞: "视频格式转换中去隔行算法的研究", 《中国优秀硕士学位论文全文数据库 信息科技辑》 *
张丽晓: "基于运动补偿的视频格式转换算法研究", 《中国优秀硕士学位论文全文数据库 信息科技辑》 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109951713A (en) * 2019-03-11 2019-06-28 深圳信息职业技术学院 A kind of motion estimation and compensation circuit and method for video deinterlacing
CN109951713B (en) * 2019-03-11 2023-02-28 深圳信息职业技术学院 Motion estimation compensation circuit and method for video de-interlacing

Also Published As

Publication number Publication date
CN106303339B (en) 2019-02-15

Similar Documents

Publication Publication Date Title
CN110476424A (en) The method and device of the motion refinement based on two-way light stream for coding and decoding video
CN101621693B (en) Frame frequency lifting method for combining target partition and irregular block compensation
CN103404137B (en) The method and apparatus of effective sample adaptive equalization
CN102263951B (en) Quick fractal video compression and decompression method
CN105939475A (en) High quality side information production method
DE102006043707A1 (en) Method for data compression in a video sequence
CN103051857B (en) Motion compensation-based 1/4 pixel precision video image deinterlacing method
CN104539949B (en) The method and device of quick partitioning based on edge direction in HEVC screen codings
CN113055674B (en) Compressed video quality enhancement method based on two-stage multi-frame cooperation
CN108495139A (en) The Hash Block- matching of screen content coding
CN107360433A (en) A kind of interframe prediction encoding method and device
KR20090041562A (en) Frame interpolating device and frame rate up-converting apparatus having the same
CN106204456A (en) Panoramic video sequences estimation is crossed the border folding searching method
CN110519591A (en) A kind of prediction mode fast selecting method based on intraframe coding in multipurpose coding
KR101544158B1 (en) Method for searching bidirectional motion using multiple frame and image apparatus with the same technique
CN106303339A (en) A kind of new block overlapped motion compensation interlace-removing method
CN106303340B (en) A kind of bi-directional motion estimation interlace-removing method
CN103313059B (en) The decision method of occlusion areas during a kind of frame per second promotes
CN103647969B (en) A kind of object-based Fast Fractal video compress and decompression method
CN105007494B (en) Wedge-shaped Fractionation regimen selection method in a kind of frame of 3D video depths image
CN102263954B (en) Quick fractal video compression and decompression method based on object
CN105915886B (en) A kind of depth map reasoning algorithm based on video compress domain
Schnurrer et al. Analysis of mesh-based motion compensation in wavelet lifting of dynamical 3-D+ t CT data
CN104243991A (en) Side information generation method and device
CN101754023B (en) Movement estimation method for image compression

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant