CN103747269A - Filter interpolation method and filter - Google Patents
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Abstract
The application discloses a filter interpolation method which comprises the following steps: acquiring serial information of video data series; determining an interpolation filter used according to the serial information and scheduled rules; and determining pixel precision and inserting a sub-pixel point according to the pixel precision and coefficients of the interpolation filter. The application also discloses a filter. In a specific implementation mode of the application, the interpolation filter used is determined according to the serial information and the scheduled rules, and the inserted sub-pixel point is calculated according to the pixel precision and the coefficients of the tap interpolation filter. According to the serial information, the number of taps of the interpolation filter can be selected automatically, and the sub-pixel point can be inserted adaptively. Thus, coding performance is raised, and interpolation calculation complexity is reduced.
Description
Technical field
The application relates to field of video image processing, relates in particular to a kind of filter interpolation method and filter.
Background technology
Along with numerous popularizing gradually as high definition digital products such as Digital Television, internet high-resolution video, digital camera, Digital Video, existing video encoding and decoding standard can not meet the demands, especially for high resolution video, as the very high resolution of 4K * 2K.Therefore, people expect to adapt to the exploitation of the high-performance video coding standard of new generation of ultra high-definition video.
In video coding and decoding technology, image element interpolation technology can improve the accuracy of motion prediction, thereby the raising of whole encoding and decoding performance is had to very large positive role.Image element interpolation is just used in MPEG-1, only limits to half-pix estimation, although than whole pixel motion estimation will well still precision and performance be also not high; From MPEG-4ASP, start to have improved interpolation precision, use the interpolation of 1/4 pixel precision; H.264/AVC adopted 6 tap filters to obtain 1/2 pixel, then with average filter, obtained 1/4 pixel, performance has had large increase; In AVS Jizhun Profile, be also to have adopted 4 tap filters to obtain 1/2 pixel, and then draw 1/4 pixel; In the high-performance video encoding and decoding standard HEVC of future generation (High Efficiency Video Coding) that JCT-VC (the Joint Collaborative Team on Video Coding) is working out recently, for further improving interpolation performance, adopted the detachable interpolation filter based on DCT of high-performance, than H.264/AVC having reduced a lot of code checks, can obviously improve coding efficiency, but the complexity of its interpolation calculation is higher.
Summary of the invention
The technical problem that the application will solve is for the deficiencies in the prior art, and a kind of filter interpolation method and filter are provided.
According to the application's first aspect, the application provides a kind of filter interpolation method, comprising:
Obtain the sequence information of video data sequences;
According to described sequence information and pre-defined rule, determine the interpolation filter using;
Determine pixel precision, and according to the coefficient of described pixel precision and described tap interpolation filter, insert a minute pixel.
In said method, described sequence information comprises resolution, frequency domain or texture.
In said method, described sequence information is resolution, and described pre-defined rule comprises:
For the high video data sequences of resolution, adopt the interpolation filter of low tap;
For the low video data sequences of resolution, adopt the interpolation filter of high tap.
In said method, described pre-defined rule at least also comprises:
When the resolution of described video data sequences is more than or equal to 2560 * 1600, adopt 4 tap interpolation filters;
When the resolution of described video data sequences is less than 2560 * 1600 and while being more than or equal to 1280 * 720, adopt 6 tap interpolation filters;
When the resolution of described video data sequences is less than 1280 * 720, adopt 10 tap interpolation filters.
In said method, described pixel precision is 1/4 pixel precision, and within described minute, pixel has 15.
In said method, the interpolation coefficient of described 4 tap interpolation filters comprises: coefficient corresponding to 1/4 pixel for 6,56,15 ,-1}; Coefficient corresponding to 2/4 pixel be 4,36,36 ,-4}; Coefficient corresponding to 3/4 pixel be 1,15,56 ,-6}.
In said method, the interpolation coefficient of described 6 tap interpolation filters comprises: coefficient corresponding to 1/4 pixel is { 2 ,-9,57,17 ,-4,1}; Coefficient corresponding to 2/4 pixel be 2 ,-9,39,39 ,-9,2}; Coefficient corresponding to 3/4 pixel be 1 ,-4,17,57 ,-9,2}.
In said method, the interpolation coefficient of described 10 tap interpolation filters comprises: coefficient corresponding to 1/4 pixel is { 1 ,-2,4 ,-10,57,19 ,-7,3 ,-1,0}; Coefficient corresponding to 2/4 pixel be 1 ,-2,5 ,-12,40,40 ,-12,5 ,-2,1}, coefficient corresponding to 3/4 pixel be 0 ,-1,3 ,-7,19,57 ,-10,4 ,-2,1}.
In said method, described insertion divides pixel, specifically comprises:
Whole pixel to horizontal arest neighbors, the coefficient of the described tap interpolation filter that use 1/4,2/4 and 3/4 position is corresponding, calculates laterally minute pixel;
Whole pixel to longitudinal arest neighbors, the coefficient of the described tap interpolation filter that use 1/4,2/4 and 3/4 position is corresponding, calculates longitudinally minute pixel;
For remaining minute pixel, the first whole pixel to horizontal arest neighbors, use respectively the coefficient of described tap interpolation filter corresponding to 1/4,2/4 and 3/4 position, calculate median, again to median described in each, use respectively the coefficient of described tap interpolation filter corresponding to 1/4,2/4 and 3/4 position, calculate described remaining minute pixel.
According to the application's second aspect, the application provides a kind of filter, adopts above-mentioned filter interpolation method, and video image is processed.
Owing to having adopted above technical scheme, the beneficial effect that the application possesses is:
(1) in the application's embodiment, owing to determining according to sequence information and pre-defined rule the tap interpolation filter using, and according to the coefficient of pixel precision and tap interpolation filter, insert a minute pixel, the application can select the tap number of interpolation filter automatically according to sequence information, inserts adaptively a minute pixel, improve coding efficiency, reduced the complexity of its interpolation calculation.
(2) in the application's embodiment, because sequence information comprises resolution, according to different resolution, select adaptively the interpolation filter of different taps, high-resolution video sequence is used low tap filter, and the video sequence of low resolution is used high tap filter, due to low tap filter better performances under high-resolution, and therefore high tap filter better performances under low resolution adopts the adaptive strategy of resolution can reach best coding efficiency.
Accompanying drawing explanation
Fig. 1 is the application's flow chart in one embodiment of filter interpolation method;
Fig. 2 is the application's interpolation schematic diagram in one embodiment of filter interpolation method;
Fig. 3 is the application's actual interpolation process schematic diagram.
Embodiment
Below by embodiment, by reference to the accompanying drawings the application is described in further detail.
Embodiment mono-:
As shown in Figure 1, the application's filter interpolation method, its a kind of execution mode, comprises the following steps:
Step 102: the sequence information that obtains video data sequences; Sequence information can comprise the information such as resolution, frequency domain or texture.
Step 104: determine the tap interpolation filter using according to described sequence information and pre-defined rule;
Step 106: determine pixel precision, and according to the coefficient of described pixel precision and described tap interpolation filter, insert a minute pixel.
The application's filter interpolation method, its another kind of execution mode, comprises the following steps:
Step 202: the resolution of obtaining video data sequences.Before this step, can also comprise step:
In the data head of video data sequences, increase the syntactic element for flag sequence information.In the present embodiment, increase the syntactic element for flag sequence information.
Step 204: determine the tap interpolation filter using according to resolution and pre-defined rule.
In one embodiment, pre-defined rule comprises:
For the high video data sequences of resolution, adopt the interpolation filter of low tap;
For the low video data sequences of resolution, adopt the interpolation filter of high tap.
In another embodiment, pre-defined rule at least can also comprise:
When the resolution of video data sequences is more than or equal to 2560 * 1600, adopt 4 tap interpolation filters;
When the resolution of video data sequences is less than 2560 * 1600 and while being more than or equal to 1280 * 720, adopt 6 tap interpolation filters;
When the resolution of video data sequences is less than 1280 * 720, adopt 10 tap interpolation filters.
Step 206: determine pixel precision, and according to the coefficient of pixel precision and tap interpolation filter, insert a minute pixel.In present embodiment, pixel precision is 1/4 pixel precision, and a minute pixel for insertion has 15.
The interpolation coefficient of 4 tap interpolation filters comprises: coefficient corresponding to 1/4 pixel for 6,56,15 ,-1}; Coefficient corresponding to 2/4 pixel be 4,36,36 ,-4}; Coefficient corresponding to 3/4 pixel be 1,15,56 ,-6}.
The coefficient of 4 tap interpolation filters is as shown in table 1:
| Divide location of pixels | Filter coefficient | Multiplication | Addition number | |
| 1/4 | {-6，56，15，-1} | 3 | 3 | |
| 2/4 | {-4，36，36，-4} | 4 | 3 | |
| 3/4 | {-1，15，56，-6} | 3 | 3 |
Table 1
The interpolation coefficient of 6 tap interpolation filters comprises: coefficient corresponding to 1/4 pixel is { 2 ,-9,57,17 ,-4,1}; Coefficient corresponding to 2/4 pixel be 2 ,-9,39,39 ,-9,2}; Coefficient corresponding to 3/4 pixel be 1 ,-4,17,57 ,-9,2}.
The coefficient of 6 tap interpolation filters is as shown in table 2:
| Divide location of pixels | Filter coefficient | Multiplication | Addition number | |
| 1/4 | {2，-9，57，17，-4，1} | 5 | 5 | |
| 2/4 | {2，-9，39，39，-9，2} | 6 | 5 | |
| 3/4 | {1，-4，17，57，-9，2} | 5 | 5 |
Table 2
The interpolation coefficient of 10 tap interpolation filters comprises: coefficient corresponding to 1/4 pixel is { 1 ,-2,4 ,-10,57,19 ,-7,3 ,-1,0}; Coefficient corresponding to 2/4 pixel be 1 ,-2,5 ,-12,40,40 ,-12,5 ,-2,1}, coefficient corresponding to 3/4 pixel be 0 ,-1,3 ,-7,19,57 ,-10,4 ,-2,1}.
The coefficient of 10 tap interpolation filters is as shown in table 3:
Table 3
The application's filter interpolation method, inserts a minute pixel, specifically can comprise:
Whole pixel to horizontal arest neighbors, the coefficient of the described tap interpolation filter that use 1/4,2/4 and 3/4 position is corresponding, calculates laterally minute pixel;
Whole pixel to longitudinal arest neighbors, the coefficient of the described tap interpolation filter that use 1/4,2/4 and 3/4 position is corresponding, calculates longitudinally minute pixel;
For remaining minute pixel, the first whole pixel to horizontal arest neighbors, use respectively the coefficient of described tap interpolation filter corresponding to 1/4,2/4 and 3/4 position, calculate median, again to median described in each, use respectively the coefficient of described tap interpolation filter corresponding to 1/4,2/4 and 3/4 position, calculate described remaining minute pixel.
The application's filter interpolation method, take 6 tap filters as example, and process is as follows: to the whole pixel of horizontal arest neighbors, use 6 tap filtering interpolations to obtain a minute pixel a
00, b
00, c
00; To the whole pixel of longitudinal arest neighbors, use 6 tap filtering interpolations to obtain a minute pixel d
00, h
00, n
00; For remaining minute pixel, be first to the whole pixel of horizontal arest neighbors, to use 6 tap filtering interpolations to obtain median, and then median is used to longitudinal 6 tap filtering interpolations.
The application's filter interpolation method, the calculating of its interpolation point, as shown in Figure 3, specifically comprises:
The first step: according to shown in table 4, judge minute pixel of wanted interpolation by the coordinate of x and y.Wherein, table 4 is minute pixel and a coordinate position mapping table.
| X coordinate | 0 | 0 | 0 | 0? | 1 | 1 | 1 | 1 | 2 | 2 | 2 | 2 | 3 | 3 | 3? | 3 |
| Y coordinate | 0 | 1 | 2 | 3 | 0 | 1 | 2 | 3 | 0 | 1 | 2 | 3 | 0 | 1 | 2 | 3 |
| Divide pixel | A | d | h | n | a | e | i | p | b | f | j | q | c | g | ?k | r |
Table 4
That inserts divides pixel as shown in Figure 2, the position A of capitalization representative
0,0, A
0,1, A
1,0and A
1,1for known whole pixel, the position of lowercase representative is minute pixel that needs interpolation to obtain.
Second step: by the judgement of previous step, enter respectively corresponding image element interpolation processing procedure.As for a minute pixel a, only need to carry out 6 horizontal tap filtering interpolations, use filter coefficient corresponding to 1/4 position; For a minute pixel e, first carry out 6 horizontal tap filtering interpolations, use filter coefficient corresponding to 1/4 position, and then carry out 6 tap filtering interpolations longitudinally, use filter coefficient corresponding to 1/4 position.
The interpolation process of each point is as follows:
(1) divide pixel a
00, b
00, c
00interpolation: the whole pixel of horizontal arest neighbors is used to 6 tap filtering interpolations, uses respectively 1/4,2/4,3/4 filter coefficient corresponding to position, calculate corresponding minute pixel a
00, b
00, c
00, computing formula is as follows:
a
0,0＝(2×A
-2,0-9×A
-1,0+57×A
0,0+17×A
1,0-4×A
2,0+A
3,0)＞＞shift1
b
0,0＝(2×A
-2,0-9×A
-1,0+39×A
0,0+39×A
1,0-9×A
2,0+2×A
3,0)＞＞shift1
c
0,0＝(A
-2,0-4×A
-1,0+17×A
0,0+57×A
1,0-9×A
2,0+2×A
3,0)＞＞shift1
(2) divide pixel d
00, h
00, n
00interpolation: the whole pixel of longitudinal arest neighbors is used to 6 tap filtering interpolations, uses respectively 1/4,2/4,3/4 filter coefficient corresponding to position, calculate corresponding minute pixel d
00, h
00, n
00, computing formula is as follows:
d
0,0＝(2×A
0,-2-9×A
0,-1+57×A
0,0+17×A
0,1-4×A
0,2+A
0,3)＞＞shift1
h
0,0＝(2×A
0,-2-9×A
0,-1+39×A
0,0+39×A
0,1-9×A
0,2+2×A
0,3)＞＞shift1
n
0,0＝(A
0,-2-4×A
0,-1+17×A
0,0+57×A
0,1-9×A
0,2+2×A
0,3)＞＞shift1
(3) divide pixel e
0,0, i
0,0, p
0,0interpolation: first the whole pixel of horizontal arest neighbors is used to 6 tap filtering interpolations, uses filter coefficient corresponding to 1/4 position, thereby obtain median a '
0, i(wherein i=-3～4), a '
0, iwith a
0, idifference is a '
0, ithere is no last shift1 shifting function; And then to median a '
0, iuse longitudinal 6 tap filtering interpolations, use respectively 1/4,2/4,3/4 filter coefficient corresponding to position, calculate corresponding minute pixel e
0,0, i
0,0, p
0,0, computing formula is as follows: '
e
0,0＝(2×a'
0,-2-9×a'
0,-1+57×a'
0,0+17×a'
0,1-4×a'
0,2+a'
0,3)＞＞shift2
i
0,0＝(2×a'
0,-2-9×a'
0,-1+39×a'
0,0+39×a'
0,1-9×a'
0,2+2×a'
0,3)＞＞shift2
p
0,0＝(a'
0,-2-4×a'
0,-1+17×a'
0,0+57×a'
0,1-9×a'
0,2+2×a'
0,3)＞＞shift2
(4) divide pixel f
0,0, j
0,0, q
0,0interpolation: first the whole pixel of horizontal arest neighbors is used to 6 tap filtering interpolations, uses filter coefficient corresponding to 2/4 position, thereby obtain median b '
0, i(wherein i=-3～4); And then to median b '
0, iuse longitudinal 6 tap filtering interpolations, use respectively 1/4,2/4,3/4 filter coefficient corresponding to position, calculate corresponding minute pixel f
0,0, j
0,0, q
0,0, computing formula is as follows:
f
0,0＝(2×b'
0,-2-9×b'
0,-1+57×b'
0,0+17×b'
0,1-4×b'
0,2+b'
0,3)＞＞shift2
j
0,0＝(2×b'
0,-2-9×b'
0,-1+39×b'
0,0+39×b'
0,1-9×b'
0,2+2×b'
0,3)＞＞shift2
q
0,0＝(b'
0,-2-4×b'
0,-1+17×b'
0,0+57×b'
0,1-9×b'
0,2+2×b'
0,3)＞＞shift2
(5) divide pixel g
0,0, k
0,0, r
0,0interpolation: first the whole pixel of horizontal arest neighbors is used to 6 tap filtering interpolations, uses filter coefficient corresponding to 3/4 position, thereby obtain median c '
0, i(wherein i=-3～4); And then to median c '
0, iuse longitudinal 6 tap filtering interpolations, use respectively 1/4,2/4,3/4 filter coefficient corresponding to position, calculate corresponding minute pixel g
0,0, k
0,0, r
0,0, computing formula is as follows:
g
0,0＝(2×c'
0,-2-9×c'
0,-1+57×c'
0,0+17×c'
0,1-4×c'
0,2+c'
0,3)＞＞shift2
k
0,0＝(2×c'
0,-2-9×c'
0,-1+39×c'
0,0+39×c'
0,1-9×c'
0,2+2×c'
0,3)＞＞shift2
r
0,0＝(c'
0,-2-4×c'
0,-1+17×c'
0,0+57×c'
0,1-9×c'
0,2+2×c'
0,3)＞＞shift2
In above-mentioned formula, " >> " represents to move to right, shift1=6, shift2=12.Like this, 15 minutes all pixels all by interpolation out.
The application's filter interpolation method and the contrast of the brightness interpolating of HEVC, the coding of each resolution video all obviously improves, its Y, U, V code check have reduced respectively-1.0% ,-0.6% ,-0.6%, especially for very the raising of HD video (2560x1600 resolution) performance is especially obvious.Table 5 is the application's filtering interpolation method and the code check comparing result table of HEVC luminance interpolating method.
Table 5
The maximum memory access pixel comparison result of table 6 the application's filter interpolation method and HEVC luminance interpolating method.
Table 6
Table 7 is the application's filter interpolation method and the multiplication number comparing result of HEVC luminance interpolating method.
Table 7
Table 8 is addition number comparing results of method of the present invention and HEVC luminance interpolating method.
Table 8
Under high-resolution, adopt low tap filter, can obviously reduce memory access and computation complexity.The computation complexity of contrast the present invention and HEVC, and table 6～8 known (W and L represent the wide of an image block and long); Memory access, multiplication number and the addition number of 4 tap filters and the filter of the relative HEVC of 6 tap filter has significantly reduction, and especially the multiplication number of 4 taps and addition number only account for respectively 1/3rd left and right of HEVC; The complexity of 10 tap filters promotes a lot compared with HEVC, still, for the Video coding of low resolution, impact is little.Therefore adopt method of the present invention can significantly reduce the coding and decoding complexity of high-definition picture, thereby accelerate the speed of coding.
Embodiment bis-:
The application's filter, adopts the filter interpolation method in embodiment mono-, and video image is processed.
Above content is the further description of the application being done in conjunction with concrete execution mode, can not assert that the application's concrete enforcement is confined to these explanations.For the application person of an ordinary skill in the technical field, not departing under the prerequisite of the application's design, can also make some simple deduction or replace.
Claims (10)
1. a filter interpolation method, is characterized in that, comprising:
Obtain the sequence information of video data sequences;
According to described sequence information and pre-defined rule, determine the interpolation filter using;
Determine pixel precision, and according to the coefficient of described pixel precision and described interpolation filter, insert a minute pixel.
2. filter interpolation method as claimed in claim 1, is characterized in that, described sequence information comprises resolution, frequency domain or texture.
3. filter interpolation method as claimed in claim 2, is characterized in that, described sequence information is resolution, and described pre-defined rule comprises:
For the high video data sequences of resolution, adopt the interpolation filter of low tap;
For the low video data sequences of resolution, adopt the interpolation filter of high tap.
4. filter interpolation method as claimed in claim 3, is characterized in that, described pre-defined rule at least also comprises:
When the resolution of described video data sequences is more than or equal to 2560 * 1600, adopt 4 tap interpolation filters;
When the resolution of described video data sequences is less than 2560 * 1600 and while being more than or equal to 1280 * 720, adopt 6 tap interpolation filters;
When the resolution of described video data sequences is less than 1280 * 720, adopt 10 tap interpolation filters.
5. filter interpolation method as claimed in claim 4, is characterized in that, described pixel precision is 1/4 pixel precision, and within described minute, pixel has 15.
6. filter interpolation method as claimed in claim 5, is characterized in that, the interpolation coefficient of described 4 tap interpolation filters comprises: coefficient corresponding to 1/4 pixel for 6,56,15 ,-1}; Coefficient corresponding to 2/4 pixel be 4,36,36 ,-4}; Coefficient corresponding to 3/4 pixel be 1,15,56 ,-6}.
7. filter interpolation method as claimed in claim 5, is characterized in that, the interpolation coefficient of described 6 tap interpolation filters comprises: coefficient corresponding to 1/4 pixel is { 2 ,-9,57,17 ,-4,1}; Coefficient corresponding to 2/4 pixel be 2 ,-9,39,39 ,-9,2}; Coefficient corresponding to 3/4 pixel be 1 ,-4,17,57 ,-9,2}.
8. filter interpolation method as claimed in claim 5, is characterized in that, the interpolation coefficient of described 10 tap interpolation filters comprises: coefficient corresponding to 1/4 pixel is { 1 ,-2,4 ,-10,57,19 ,-7,3 ,-1,0}; Coefficient corresponding to 2/4 pixel be 1 ,-2,5 ,-12,40,40 ,-12,5 ,-2,1}, coefficient corresponding to 3/4 pixel be 0 ,-1,3 ,-7,19,57 ,-10,4 ,-2,1}.
9. Sub-Pixel Motion Estimation Interpolation Method as claimed in claim 5, is characterized in that, described insertion divides pixel, specifically comprises:
Whole pixel to horizontal arest neighbors, the coefficient of the described tap interpolation filter that use 1/4,2/4 and 3/4 position is corresponding, calculates laterally minute pixel;
Whole pixel to longitudinal arest neighbors, the coefficient of the described tap interpolation filter that use 1/4,2/4 and 3/4 position is corresponding, calculates longitudinally minute pixel;
For remaining minute pixel, the first whole pixel to horizontal arest neighbors, use respectively the coefficient of described tap interpolation filter corresponding to 1/4,2/4 and 3/4 position, calculate median, again to median described in each, use respectively the coefficient of described tap interpolation filter corresponding to 1/4,2/4 and 3/4 position, calculate described remaining minute pixel.
10. a filter, adopts filter interpolation method as claimed in any one of claims 1-9 wherein, and video image is processed.
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| CN106331702A (en) * | 2015-06-30 | 2017-01-11 | 阿里巴巴集团控股有限公司 | Sub-pixel interpolation filtering method and equipment |
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| CN106331702A (en) * | 2015-06-30 | 2017-01-11 | 阿里巴巴集团控股有限公司 | Sub-pixel interpolation filtering method and equipment |
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