CN109168004A - A kind of interpolation method and device of motion compensation - Google Patents
A kind of interpolation method and device of motion compensation Download PDFInfo
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- CN109168004A CN109168004A CN201811132288.2A CN201811132288A CN109168004A CN 109168004 A CN109168004 A CN 109168004A CN 201811132288 A CN201811132288 A CN 201811132288A CN 109168004 A CN109168004 A CN 109168004A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/50—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding
- H04N19/503—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding involving temporal prediction
- H04N19/51—Motion estimation or motion compensation
- H04N19/567—Motion estimation based on rate distortion criteria
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/50—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding
- H04N19/587—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding involving temporal sub-sampling or interpolation, e.g. decimation or subsequent interpolation of pictures in a video sequence
Abstract
The interpolation method and device of a kind of motion compensation provided in an embodiment of the present invention, method comprise determining that be predicted piece of sub-pixel point to be predicted；For each sub-pixel point to be predicted, the pixel average of the associated target pixel points of sub-pixel point to be predicted is obtained, the pixel average of target pixel points is determined as the first direction of sub-pixel point to be predicted estimating pixel value；Pixel value and original image will be estimated based on first direction, to be predicted piece of rate distortion costs being calculated, pixel value and original image are estimated with based on second direction, to be predicted piece of rate distortion costs being calculated are compared, it selects to be predicted piece of the lesser direction of rate distortion costs to estimate pixel value, is determined as the pixel value of sub-pixel point to be predicted.The embodiment of the present invention as the pixel value of sub-pixel point to be predicted, therefore can reduce the rate distortion costs for the prediction block estimated out by selecting the lesser direction of rate distortion costs to estimate pixel value.
Description
Technical field
The present invention relates to technical field of video coding, more particularly to the interpolation method and device of a kind of motion compensation.
Background technique
With universal and video website flow the rapidly growth of high-resolution equipment, technical staff uses inter-prediction mould
Formula carries out inter motion compensation method, prediction reference frame image using encoded image.Carrying out inter motion compensation prediction
In the process, reference frame image is divided into multiple prediction blocks, first determines pixel and pixel in prediction block in encoded image
Prediction block is being estimated if the pixel originated in prediction block is corresponding with the sub-pixel point in encoded image in corresponding position
In pixel during need pixel value using sub-pixel point, and practical in reference frame image, sub-pixel point is not
In the presence of needing to estimate the pixel value in sub-pixel point using horizontal and vertical interpolation method.
The prior art uses horizontal and vertical interpolation method, and it is as follows to calculate the pixel value process in sub-pixel point position:
As shown in Figure 1, including multiple whole pixels in figure, whole pixel is indicated with diamond shape；Each whole pixel exist and
Whole pixel is in same row or the sub-pixel point with a line, and the sub-pixel point of half is indicated with square；Four/
One sub-pixel point indicates that sub-pixel point reality is simultaneously not present with circle.
For being in sub-pixel such as e, f and g with a line with whole pixel, using Horizontal interpolation method, according to preset
The weight of sub-pixel point calculates the pixel value of e, f and g；For being in the sub-pixel point of same row with whole pixel, such as d is used
Vertical Interpolation Methods calculate the pixel value of e, f and g according to the weight of preset sub-pixel point；For neither existing with whole pixel
With a line again not in the sub-pixel point of same row, such as a；It is calculated first with sub-pixel point a using Horizontal interpolation method same
Column, and the pixel value with whole pixel in the sub-pixel point with a line, such as h, i, j, e, k, m, n and q；Then using vertical
Interpolation method utilizes the pixel value of the calculated for pixel values sub-pixel point a of h, i, j, e, k, m, n and q.
The prior art is estimated in the method for prediction block sub-pixel point, and the whole picture on Horizontal interpolation and vertical interpolation direction is used
Vegetarian refreshments estimates the sub-pixel point in prediction block, and during actually estimating in prediction block more sub-pixel point not horizontal or
Vertical direction causes the prediction block sub-pixel point estimated out often to differ larger with the sub-pixel point in real image, therefore
The rate distortion costs for the prediction block estimated out are higher.
Summary of the invention
The interpolation method and device for being designed to provide a kind of motion compensation of the embodiment of the present invention, pass through preset interpolation
The first direction that direction determines estimates pixel value, and first direction is then estimated to be predicted piece of the rate that calculated for pixel values goes out and is distorted
Cost with by second direction estimate calculated for pixel values go out to be predicted piece of rate distortion costs be compared, selection rate be distorted generation
Pixel value is estimated in the lesser direction of valence, as the pixel value of sub-pixel point to be predicted, therefore can reduce the prediction block estimated out
Rate distortion costs.Specific technical solution is as follows:
In a first aspect, a kind of interpolation method of motion compensation provided in an embodiment of the present invention, comprising:
Determine to be predicted piece of sub-pixel point to be predicted；
For each sub-pixel point to be predicted, the pixel for obtaining the associated target pixel points of sub-pixel point to be predicted is average
Value, the target pixel points are by being in same pre- in addition to the sub-pixel point to be predicted, and with the sub-pixel point to be predicted
If interpolation direction on pixel determine, the preset interpolation direction be centered on the sub-pixel point to be predicted point,
It is less than 180 degree greater than 0 degree and is not 90 degree of direction；Target pixel points are the whole pixel institute adjacent with sub-pixel point to be predicted
The pixel being expert at；
By the pixel average of target pixel points, it is determined as the first direction of sub-pixel point to be predicted estimating pixel value；
Pixel value and original image will be estimated based on first direction, to be predicted piece of rate distortion costs being calculated, with
Pixel value and original image are estimated based on second direction, to be predicted piece of rate distortion costs being calculated are compared, selection
Pixel value is estimated in the lesser direction of to be predicted piece of rate distortion costs, is determined as the pixel value of sub-pixel point to be predicted.
Optionally, for each sub-pixel point to be predicted, the associated target pixel points of sub-pixel point to be predicted are obtained
Pixel average, comprising:
For each sub-pixel point to be predicted, on preset interpolation direction, if there is with the sub-pixel point to be predicted
Whole pixel on a line then will be determined as target with the whole pixel of the sub-pixel o'clock to be predicted on a line
Pixel；
If on preset interpolation direction, there is no with the whole pixel of the sub-pixel o'clock to be predicted on a line
Point, by remaining sub-pixel point conduct with the sub-pixel o'clock to be predicted on a line, in addition to the sub-pixel point to be predicted
Target pixel points；Target pixel points are the whole pixel of the row pixel adjacent with sub-pixel point to be predicted；
Based on target pixel points, the pixel average of target pixel points is calculated.
Optionally, using following steps, determine that second direction estimates pixel value:
For each sub-pixel point to be predicted, if the sub-pixel point to be predicted and whole pixel are used and are hung down in same column
Straight interpolation method, by the weight of the pixel value of the whole pixel with the sub-pixel point same column to be predicted and preset sub-pixel point into
Row is multiplied；
If the sub-pixel point to be predicted is being gone together with whole pixel, Horizontal interpolation method is used, it will be to be predicted with this
The pixel value of the whole pixel of sub-pixel point colleague is multiplied with the weight of preset sub-pixel point；
By the cumulative of product and with default accuracy value 2NIt is added, will add up result and move to right N+1 binary digit, will shift
The second direction that addition result afterwards is determined as sub-pixel point to be predicted estimates pixel value；The value of N and preset sub-pixel point
Weight is cumulative and corresponds.
A kind of interpolation method of motion compensation provided in an embodiment of the present invention further include:
For each sub-pixel point to be predicted, if the sub-pixel point to be predicted and whole pixel are not going together or are not existing
Same column then uses Horizontal interpolation method, calculates with the sub-pixel point to be predicted in same column, and with whole pixel in the sub- picture gone together
The pixel value of vegetarian refreshments；
Using Vertical Interpolation Methods, will with the sub-pixel point same column to be predicted, and with whole pixel in the sub-pixel gone together
Point pixel value be multiplied with the weight of preset sub-pixel point, by product add up and with default accuracy value 2MCarry out phase
Add, will add up result and move to right M+1 binary digit；
By the addition result after displacement, it is determined as second direction and estimates pixel value；The value of M is 2N+1, the value of N and default
Sub-pixel point weight it is cumulative and correspond；
Optionally, using following steps, the pixel value of target pixel points is determined:
Using Horizontal interpolation method, by the pixel value for the whole pixel gone together with target pixel points and preset sub-pixel point
Weight be multiplied；
By the cumulative of the weight product of the pixel value for the whole pixel gone together with target pixel points and preset sub-pixel point
With with default accuracy value 2NIt is added, will add up result and move to right N+1 binary digit；
By the addition result after displacement, it is determined as the pixel value of target pixel points；The power of the value of N and preset sub-pixel point
It adds up and corresponds again.
Second aspect, a kind of interpolating apparatus of motion compensation provided in an embodiment of the present invention, comprising:
Pixel determining module, for determining to be predicted piece of sub-pixel point to be predicted；
Module is obtained, for being directed to each sub-pixel point to be predicted, obtains the associated target picture of sub-pixel point to be predicted
The pixel average of vegetarian refreshments, target pixel points be by addition to the sub-pixel point to be predicted, and with the sub-pixel point to be predicted
What pixel on same preset interpolation direction determined, preset interpolation direction, which is with the sub-pixel point to be predicted, is
Heart point is less than 180 degree greater than 0 degree and is not 90 degree of direction；Target pixel points are the whole picture adjacent with sub-pixel point to be predicted
Vegetarian refreshments pixel of the row；
Module is estimated, for by the pixel average of target pixel points, being determined as the first party of sub-pixel point to be predicted
To estimating pixel value；
Pixel value determining module estimates pixel value and original image for that will be based on first direction, be calculated to pre-
The rate distortion costs for surveying block estimate pixel value and original image with based on second direction, and to be predicted piece of rate being calculated is lost
True cost is compared, and is selected to be predicted piece of the lesser direction of rate distortion costs to estimate pixel value, is determined as sub- picture to be predicted
The pixel value of vegetarian refreshments.
Optionally, module is obtained to be specifically used for:
For each sub-pixel point to be predicted, on preset interpolation direction, if there is with the sub-pixel point to be predicted
Whole pixel on a line then will be determined as target with the whole pixel of the sub-pixel o'clock to be predicted on a line
Pixel；
If on preset interpolation direction, there is no with the whole pixel of the sub-pixel o'clock to be predicted on a line
Point, by remaining sub-pixel point conduct with the sub-pixel o'clock to be predicted on a line, in addition to the sub-pixel point to be predicted
Target pixel points；Target pixel points are the whole pixel of the row pixel adjacent with sub-pixel point to be predicted；
Based on target pixel points, the pixel average of target pixel points is calculated.
A kind of interpolating apparatus of motion compensation provided in an embodiment of the present invention further include:
Second direction estimates module, is specifically used for:
For each sub-pixel point to be predicted, if the sub-pixel point to be predicted and whole pixel are used and are hung down in same column
Straight interpolation method, by the weight of the pixel value of the whole pixel with the sub-pixel point same column to be predicted and preset sub-pixel point into
Row is multiplied；
If the sub-pixel point to be predicted is being gone together with whole pixel, Horizontal interpolation method is used, it will be to be predicted with this
The pixel value of the whole pixel of sub-pixel point colleague is multiplied with the weight of preset sub-pixel point；
By the cumulative of product and with default accuracy value 2NIt is added, will add up result and move to right N+1 binary digit, will shift
The second direction that addition result afterwards is determined as sub-pixel point to be predicted estimates pixel value；The value of N and preset sub-pixel point
Weight is cumulative and corresponds.
A kind of interpolating apparatus of motion compensation provided in an embodiment of the present invention includes:
Computing module is specifically used for:
For each sub-pixel point to be predicted, if the sub-pixel point to be predicted and whole pixel are not going together or are not existing
Same column then uses Horizontal interpolation method, calculates with the sub-pixel point to be predicted in same column, and with whole pixel in the sub- picture gone together
The pixel value of vegetarian refreshments；
Using Vertical Interpolation Methods, will with the sub-pixel point same column to be predicted, and with whole pixel in the sub-pixel gone together
Point pixel value be multiplied with the weight of preset sub-pixel point, by product add up and with default accuracy value 2MCarry out phase
Add, will add up result and move to right M+1 binary digit；
By the addition result after displacement, it is determined as second direction and estimates pixel value；The value of M is 2N+1, the value of N and default
Sub-pixel point weight it is cumulative and correspond；
A kind of interpolating apparatus of motion compensation provided in an embodiment of the present invention includes:
Target pixel points determining module, is specifically used for:
Using Horizontal interpolation method, by the pixel value for the whole pixel gone together with target pixel points and preset sub-pixel point
Weight be multiplied；
By the cumulative of the weight product of the pixel value for the whole pixel gone together with target pixel points and preset sub-pixel point
With with default accuracy value 2NIt is added, will add up result and move to right N+1 binary digit；
By the addition result after displacement, it is determined as the pixel value of target pixel points；The power of the value of N and preset sub-pixel point
It adds up and corresponds again.
At the another aspect that the present invention is implemented, a kind of computer readable storage medium is additionally provided, it is described computer-readable
Instruction is stored in storage medium, when run on a computer, so that computer executes any of the above-described movement and mends
The interpolation method repaid.
At the another aspect that the present invention is implemented, the embodiment of the invention also provides a kind of, and the computer program comprising instruction is produced
Product, when run on a computer, so that computer executes the interpolation method of any of the above-described motion compensation.
The interpolation method and device of a kind of motion compensation provided in an embodiment of the present invention, by be predicted piece of determination to pre-
Survey sub-pixel point；For each sub-pixel point to be predicted, the pixel of the associated target pixel points of sub-pixel point to be predicted is obtained
Average value is determined as the pixel average of target pixel points that the first direction of sub-pixel point to be predicted is estimated pixel value；It will
Estimate pixel value and original image based on first direction, to be predicted piece of rate distortion costs being calculated, be based on second party
To pixel value and original image is estimated, to be predicted piece of rate distortion costs being calculated are compared, and select to be predicted piece
Pixel value is estimated in the lesser direction of rate distortion costs, is determined as the pixel value of sub-pixel point to be predicted.
The pixel value of sub-pixel point to be predicted is directly calculated using horizontally or vertically interpolation method compared with the prior art,
The embodiment of the present invention estimates pixel value by the first direction that preset interpolation direction determines, first direction is then estimated pixel
It is worth calculated to be predicted piece of rate distortion costs and estimates to be predicted piece of the rate mistake that calculated for pixel values goes out with by second direction
True cost is compared, and the lesser direction of rate distortion costs is selected to estimate pixel value, as the pixel value of sub-pixel point to be predicted,
Therefore the rate distortion costs for the prediction block estimated out can be reduced.
Certainly, implement any of the products of the present invention or method it is not absolutely required at the same reach all the above excellent
Point.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described.
Fig. 1 is the structure chart of pixel in reference frame image provided in an embodiment of the present invention；
Fig. 2 is a kind of flow chart of the interpolation method of motion compensation provided in an embodiment of the present invention；
Fig. 3 is the flow chart of the pixel average provided in an embodiment of the present invention for calculating target pixel points；
Fig. 4 selects the structure related like vegetarian refreshments for sub-pixel to be predicted on preset interpolation direction provided in an embodiment of the present invention
Figure；
Fig. 5 is the flow chart that determining second direction provided in an embodiment of the present invention estimates pixel value；
Fig. 6 is the flow chart of determining target pixel points provided in an embodiment of the present invention；
Fig. 7 is a kind of structure chart of the interpolating apparatus of motion compensation provided in an embodiment of the present invention；
Fig. 8 is the structure chart of a kind of electronic equipment provided in an embodiment of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention is described.
The interpolation method and device of a kind of motion compensation provided in an embodiment of the present invention, by be predicted piece of determination to pre-
Survey sub-pixel point；For each sub-pixel point to be predicted, the pixel of the associated target pixel points of sub-pixel point to be predicted is obtained
Average value is determined as the pixel average of target pixel points that the first direction of sub-pixel point to be predicted is estimated pixel value；It will
Estimate pixel value and original image based on first direction, to be predicted piece of rate distortion costs being calculated, be based on second party
To pixel value and original image is estimated, to be predicted piece of rate distortion costs being calculated are compared, and select to be predicted piece
Pixel value is estimated in the lesser direction of rate distortion costs, is determined as the pixel value of sub-pixel point to be predicted.
The pixel value of sub-pixel point to be predicted is directly calculated using horizontally or vertically interpolation method compared with the prior art,
The embodiment of the present invention estimates pixel value by the first direction that preset interpolation direction determines, first direction is then estimated pixel
It is worth calculated to be predicted piece of rate distortion costs and estimates to be predicted piece of the rate mistake that calculated for pixel values goes out with by second direction
True cost is compared, and the lesser direction of rate distortion costs is selected to estimate pixel value, as the pixel value of sub-pixel point to be predicted,
Therefore the rate distortion costs for the prediction block estimated out can be reduced.
It continues with and a kind of interpolation method of motion compensation provided in an embodiment of the present invention is briefly described.
A kind of interpolation method of motion compensation provided in an embodiment of the present invention, is applied to electronic equipment, and further electronics is set
Standby can be mobile phone, computer, server, intelligent mobile terminal equipment, wearable intelligent mobile terminal equipment etc..It does not do herein
It limits, it is any that electronic equipment of the invention may be implemented, it all belongs to the scope of protection of the present invention.
As shown in Fig. 2, the embodiment of the invention provides a kind of interpolation methods of motion compensation, comprising:
S201 determines to be predicted piece of sub-pixel point to be predicted；
S202 obtains the picture of the associated target pixel points of sub-pixel point to be predicted for each sub-pixel point to be predicted
Plain average value, target pixel points are by being in same in addition to the sub-pixel point to be predicted, and with the sub-pixel point to be predicted
What the pixel on preset interpolation direction determined, preset interpolation direction is the point centered on the sub-pixel point to be predicted, greatly
It is less than 180 degree in 0 degree and is not 90 degree of direction；Target pixel points are the whole pixel place adjacent with sub-pixel point to be predicted
Capable pixel；
Wherein, preset interpolation direction is the direction artificially set according to industry experience.
As shown in figure 4, be directed to sub-pixel point a to be predicted, it is assumed that preset interpolation direction is 45 degree, then with sub- picture to be predicted
Row where the vegetarian refreshments a adjacent whole pixel row and whole pixel M of the row where whole pixel O, v2、q2Default
45 degree of interpolation direction on, and be expert in whole pixel.Therefore v2、q2For target pixel points.
In order to reduce the rate distortion costs for the prediction block estimated out, as shown in figure 3, above-mentioned S202 can be using following step
Suddenly, determine that first direction estimates pixel value:
S301: be directed to each sub-pixel point to be predicted, on preset interpolation direction, if there is with the sub- picture to be predicted
Whole pixel of the vegetarian refreshments on a line will then be determined as with the whole pixel of the sub-pixel o'clock to be predicted on a line
Target pixel points；
Wherein, horizontal line is row, and vertical line is column.With reference to such as 4, for sub-pixel point b to be predicted, it is assumed that preset interpolation
Direction is 26.6 degree, on 26.6 degree of preset interpolation direction, with the whole pixel of the sub-pixel point b to be predicted on a line
Point is T, M, then whole pixel T, M is determined as target pixel points.
S302: if on preset interpolation direction, there is no whole on a line with the sub-pixel o'clock to be predicted
Pixel, by remaining sub-pixel point with the sub-pixel o'clock to be predicted on a line, in addition to the sub-pixel point to be predicted
As target pixel points；Target pixel points are the whole pixel of the row pixel adjacent with sub-pixel point to be predicted；
With reference to such as 4, for sub-pixel point a to be predicted, it is assumed that preset interpolation direction is 45 degree, in preset interpolation direction
On 45 degree, whole pixel is not present on a line with the sub-pixel point a to be predicted, then will exist with sub-pixel point b to be predicted
On one line, and the whole pixel of the row pixel v adjacent with sub-pixel point b to be predicted2、q2, as object pixel
Point.
For sub-pixel point d to be predicted, it is assumed that preset interpolation direction is 135 degree, 135 degree of preset interpolation direction
On, whole pixel is not present on a line with the sub-pixel point d to be predicted, then it will be with sub-pixel point d to be predicted at one
On line, and the whole pixel of the row pixel q adjacent with sub-pixel point d to be predicted2、f2, as target pixel points.
S303: target pixel points are based on, the pixel average of target pixel points is calculated.
S203 is determined as the pixel average of target pixel points that the first direction of sub-pixel point to be predicted is estimated picture
Element value；
In order to reduce the rate distortion costs for the prediction block estimated out, above-mentioned S203 can be using following at least one possible
Implementation determines that first direction estimates pixel value:
In a kind of possible embodiment, Mean Value Formulas can be used, the pixel value of target pixel points is sought putting down
Mean value, by the pixel average of target pixel points, the first direction for being determined as sub-pixel point to be predicted estimates pixel value, to improve
The first direction of sub-pixel point to be predicted estimates the efficiency of pixel value.
With reference to Fig. 4, it is assumed that c, b are sub-pixel points to be predicted, and c, b are used on same preset 45 degree of interpolation direction
Mean Value FormulasWherein, y1, y2 are represented on preset interpolation direction, the pixel value of target pixel points, and the first of c
Estimate pixel value in directionThe first direction of b estimates pixel value
In alternatively possible embodiment, first judge on same preset interpolation direction with the presence or absence of more than one
Sub-pixel point to be predicted calculate being averaged for the pixel value of target pixel points if it does, two-way interpolation method can be used
Value, then by the pixel average of target pixel points, the first direction for being determined as sub-pixel point to be predicted estimates pixel value, to mention
The first direction that height calculates sub-pixel point to be predicted estimates the accuracy rate of pixel value.
With reference to Fig. 4, it is assumed that c, b are sub-pixel points to be predicted, and c, b are used on same preset 45 degree of interpolation direction
Two-way interpolation calculation formulaWherein, x1 is represented on preset interpolation direction, with sub-pixel point to be predicted
Apart from farther away target pixel points at a distance from sub-pixel point to be predicted, x2 is represented on preset interpolation direction, and to be predicted
At a distance from sub-pixel point to be predicted, y1 is represented on preset interpolation direction the target pixel points that sub-pixel point is closer,
The pixel value for the target pixel points being closer with sub-pixel point to be predicted, y2 is represented on preset interpolation direction, and to pre-
Survey pixel value of the sub-pixel point apart from farther away target pixel points.By taking sub-pixel point b to be predicted as an example, the first direction of b is estimated
Pixel value is
S204 will estimate pixel value and original image based on first direction, to be predicted piece of the rate distortion generation being calculated
Valence estimates pixel value and original image with based on second direction, and to be predicted piece of rate distortion costs being calculated are compared,
It selects to be predicted piece of the lesser direction of rate distortion costs to estimate pixel value, is determined as the pixel value of sub-pixel point to be predicted.
The embodiment of the present invention estimates pixel value by the first direction that preset interpolation direction determines, then by first direction
Estimate calculated for pixel values go out to be predicted piece of rate distortion costs with by second direction estimate calculated for pixel values out it is to be predicted
The rate distortion costs of block are compared, and select the lesser direction of rate distortion costs to estimate pixel value, as sub-pixel point to be predicted
Pixel value, therefore the rate distortion costs for the prediction block estimated out can be reduced.
In order to reduce the rate distortion costs for the prediction block estimated out, as shown in figure 5, determining second party using following steps
To estimating pixel value:
S501, for each sub-pixel point to be predicted, if the sub-pixel point to be predicted and whole pixel make in same column
With Vertical Interpolation Methods, by the power of the pixel value of the whole pixel with the sub-pixel point same column to be predicted and preset sub-pixel point
It is multiplied again；
Wherein, the weight of preset sub-pixel point is the weight for including: a quarter sub-pixel point, 2/4ths sub-pixels
Weight, the weight of 3/4ths sub-pixel points and the weight of other sub-pixel points of point.
Such as: the weight of a quarter sub-pixel point are as follows:-Isosorbide-5-Nitrae, -10,58,17, -5,1,0；2/4ths sub-pixel points
Weight are as follows:-Isosorbide-5-Nitrae, -11,40,40, -11,4, -1；The weight of 3/4ths sub-pixel points are as follows: 0,1, -5,17,58, -10,
4, -1.
S502 uses Horizontal interpolation method, will wait for this if the sub-pixel point to be predicted is being gone together with whole pixel
The pixel value of the whole pixel of prediction sub-pixel point colleague is multiplied with the weight of preset sub-pixel point；
S503, by the cumulative of product and with default accuracy value 2NIt is added, will add up result and move to right N+1 binary digit,
The second direction that addition result after displacement is determined as sub-pixel point to be predicted is estimated into pixel value；
Wherein, the value of N and the weight of preset sub-pixel point are added up and are corresponded；2N+1Equal to preset sub-pixel point
Weight it is cumulative and.
Such as: the weight of a quarter sub-pixel point are as follows:-Isosorbide-5-Nitrae, -10,58,17, -5,1,0；2/4ths sub-pixel points
Weight are as follows:-Isosorbide-5-Nitrae, -11,40,40, -11,4, -1；The weight of 3/4ths sub-pixel points are as follows: 0,1, -5,17,58, -10,
4, -1: the weight of cumulative and 2/4ths sub-pixel points of the weight of a quarter sub-pixel point cumulative and and 3/4ths
The weight of sub-pixel point cumulative and 64 are equal to, therefore, the value of N is 5.Assuming that the weight of preset sub-pixel point it is cumulative and
It is 128, then the value of N is 6.
S504, if the sub-pixel point to be predicted and whole pixel are not being gone together or not in same column, inserted using horizontal
Value method, calculate with the sub-pixel point to be predicted in same column, and with whole pixel the sub-pixel point gone together pixel value；
S505, using Vertical Interpolation Methods, will with the sub-pixel point same column to be predicted, and with whole pixel in the son gone together
The pixel value of pixel is multiplied with the weight of preset sub-pixel point, by the cumulative of product and with default accuracy value 2MIt carries out
It is added, will add up result and move to right M+1 binary digit；
Addition result after displacement is determined as second direction and estimates pixel value by S506；The value of M is 2N+1, the value of N
It adds up and corresponds with the weight of preset sub-pixel point.
It is four parts of 2 sub-pixel points with reference to Fig. 1, a, the value of N is 5, then the value of M is 11.Assuming that a is son to be predicted
Pixel, a and whole pixel are neither being gone together nor in same column, it is assumed that the pixel value of A, B, C, D, E, F, G, H are as follows: 10,20,5,
30,60,50,40,80.It using Horizontal interpolation method, calculates with the sub-pixel point to be predicted in same column, and with whole pixel same
The pixel value of capable sub-pixel point h, i, j, e, k, m, n and q.Then Vertical Interpolation Methods are used, sub-pixel point to be predicted is same
The pixel value of whole pixel h, i, j, e, k, m, n and q of column and weight-Isosorbide-5-Nitrae of preset 2/4ths sub-pixels point, -11,
40,40, -11,4, -1 product cumulative and 12 binary digits are moved to right, the addition result after displacement is determined as sub- picture to be predicted
The second direction of vegetarian refreshments estimates pixel value.
Present embodiment by judge sub-pixel point to be predicted whether the distribution situation with whole pixel, according to son to be predicted
Pixel and whole pixel go together, sub-pixel to be predicted point and whole pixel same column, sub-pixel to be predicted point and whole pixel not
Three kinds of situations of colleague and different lines, the second direction for calculating sub-pixel point to be predicted are estimated pixel value, be can be improved to be predicted
The second direction of sub-pixel point estimates the accuracy rate of pixel value.
In order to reduce the rate distortion costs for the prediction block estimated out, as shown in fig. 6, determining target picture using following steps
The pixel value of vegetarian refreshments:
S601, using Horizontal interpolation method, by the pixel value for the whole pixel gone together with target pixel points and preset son
The weight of pixel is multiplied；
S602, by the weight product of the pixel value for the whole pixel gone together with target pixel points and preset sub-pixel point
It is cumulative and, with default accuracy value 2NIt is added, will add up result and move to right N+1 binary digit；
Addition result after displacement is determined as the pixel value of target pixel points by S603；The value of N and preset sub-pixel
The weight of point is cumulative and corresponds.
Present embodiment passes through the pixel value and preset sub-pixel point of the whole pixel that will be gone together with target pixel points
Weight product cumulative and, calculate the pixel value of target pixel points, can quickly obtain the pixel value of target pixel points.
It continues with and a kind of interpolating apparatus of motion compensation provided in an embodiment of the present invention is briefly described.
As shown in fig. 7, a kind of interpolating apparatus of motion compensation provided in an embodiment of the present invention, described device include:
Pixel determining module 701, for determining to be predicted piece of sub-pixel point to be predicted；
Module 702 is obtained, for being directed to each sub-pixel point to be predicted, obtains the associated target of sub-pixel point to be predicted
The pixel average of pixel, target pixel points be by addition to the sub-pixel point to be predicted, and with the sub-pixel to be predicted
Pixel of the point on same preset interpolation direction determines that preset interpolation direction is to be with the sub-pixel point to be predicted
Central point is less than 180 degree greater than 0 degree and is not 90 degree of direction；Target pixel points are adjacent with sub-pixel point to be predicted whole
Pixel pixel of the row；
Module 703 is estimated, for by the pixel average of target pixel points, being determined as the first of sub-pixel point to be predicted
Estimate pixel value in direction；
Pixel value determining module 704 estimates pixel value and original image for that will be based on first direction, be calculated to
The rate distortion costs of prediction block estimate pixel value and original image with based on second direction, to be predicted piece of rate being calculated
Distortion cost is compared, and is selected to be predicted piece of the lesser direction of rate distortion costs to estimate pixel value, is determined as son to be predicted
The pixel value of pixel.
Optionally, module is obtained to be specifically used for:
For each sub-pixel point to be predicted, on preset interpolation direction, if there is with the sub-pixel point to be predicted
Whole pixel on a line then will be determined as target with the whole pixel of the sub-pixel o'clock to be predicted on a line
Pixel；
If on preset interpolation direction, there is no with the whole pixel of the sub-pixel o'clock to be predicted on a line
Point, by remaining sub-pixel point conduct with the sub-pixel o'clock to be predicted on a line, in addition to the sub-pixel point to be predicted
Target pixel points；Target pixel points are the whole pixel of the row pixel adjacent with sub-pixel point to be predicted；
Based on target pixel points, the pixel average of target pixel points is calculated.
Optionally, the interpolating apparatus of a kind of motion compensation provided in an embodiment of the present invention further include:
Second direction estimates module, is specifically used for:
For each sub-pixel point to be predicted, if the sub-pixel point to be predicted and whole pixel are used and are hung down in same column
Straight interpolation method, by the weight of the pixel value of the whole pixel with the sub-pixel point same column to be predicted and preset sub-pixel point into
Row is multiplied；
If the sub-pixel point to be predicted is being gone together with whole pixel, Horizontal interpolation method is used, it will be to be predicted with this
The pixel value of the whole pixel of sub-pixel point colleague is multiplied with the weight of preset sub-pixel point；
By the cumulative of product and with default accuracy value 2NIt is added, will add up result and move to right N+1 binary digit, will shift
The second direction that addition result afterwards is determined as sub-pixel point to be predicted estimates pixel value；The value of N and preset sub-pixel point
Weight is cumulative and corresponds.
Optionally, the interpolating apparatus of a kind of motion compensation provided in an embodiment of the present invention further include:
Computing module is specifically used for:
For each sub-pixel point to be predicted, if the sub-pixel point to be predicted and whole pixel are not going together or are not existing
Same column then uses Horizontal interpolation method, calculates with the sub-pixel point to be predicted in same column, and with whole pixel in the sub- picture gone together
The pixel value of vegetarian refreshments；
Using Vertical Interpolation Methods, will with the sub-pixel point same column to be predicted, and with whole pixel in the sub-pixel gone together
Point pixel value be multiplied with the weight of preset sub-pixel point, by product add up and with default accuracy value 2MCarry out phase
Add, will add up result and move to right M+1 binary digit；
By the addition result after displacement, it is determined as second direction and estimates pixel value；The value of M is 2N+1, the value of N and default
Sub-pixel point weight it is cumulative and correspond；
Optionally, the interpolating apparatus of a kind of motion compensation provided in an embodiment of the present invention further include:
Target pixel points determining module, is specifically used for:
Using Horizontal interpolation method, by the pixel value for the whole pixel gone together with target pixel points and preset sub-pixel point
Weight be multiplied；
By the cumulative of the weight product of the pixel value for the whole pixel gone together with target pixel points and preset sub-pixel point
With with default accuracy value 2NIt is added, will add up result and move to right N+1 binary digit；
By the addition result after displacement, it is determined as the pixel value of target pixel points；The power of the value of N and preset sub-pixel point
It adds up and corresponds again.
The embodiment of the invention also provides a kind of electronic equipment, as shown in figure 8, include processor 801, communication interface 802,
Memory 803 and communication bus 804, wherein processor 801, communication interface 802, memory 803 are complete by communication bus 804
At mutual communication,
Memory 803, for storing computer program；
Processor 801 when for executing the program stored on memory 803, realizes following steps:
Determine to be predicted piece of sub-pixel point to be predicted；
For each sub-pixel point to be predicted, the pixel for obtaining the associated target pixel points of sub-pixel point to be predicted is average
Value, target pixel points are by being in same preset in addition to the sub-pixel point to be predicted, and with the sub-pixel point to be predicted
What the pixel on interpolation direction determined, preset interpolation direction is the point centered on the sub-pixel point to be predicted, is greater than 0 degree small
It in 180 degree and is not 90 degree of direction；Target pixel points are the whole pixel of the row picture adjacent with sub-pixel point to be predicted
Vegetarian refreshments；
By the pixel average of target pixel points, it is determined as the first direction of sub-pixel point to be predicted estimating pixel value；
Pixel value and original image will be estimated based on first direction, to be predicted piece of rate distortion costs being calculated, with
Pixel value and original image are estimated based on second direction, to be predicted piece of rate distortion costs being calculated are compared, selection
Pixel value is estimated in the lesser direction of to be predicted piece of rate distortion costs, is determined as the pixel value of sub-pixel point to be predicted.
The communication bus that above-mentioned electronic equipment is mentioned can be Peripheral Component Interconnect standard (Peripheral Component
Interconnect, abbreviation PCI) bus or expanding the industrial standard structure (Extended Industry Standard
Architecture, abbreviation EISA) bus etc..The communication bus can be divided into address bus, data/address bus, control bus etc..
Only to be indicated with a thick line in figure, it is not intended that an only bus or a type of bus convenient for indicating.
Communication interface is for the communication between above-mentioned electronic equipment and other equipment.
Memory may include random access memory (Random Access Memory, abbreviation RAM), also may include
Nonvolatile memory (non-volatile memory), for example, at least a magnetic disk storage.Optionally, memory may be used also
To be storage device that at least one is located remotely from aforementioned processor.
Above-mentioned processor can be general processor, including central processing unit (Central Processing Unit,
Abbreviation CPU), network processing unit (Network Processor, abbreviation NP) etc.；It can also be digital signal processor
(Digital Signal Processing, abbreviation DSP), specific integrated circuit (Application Specific
Integrated Circuit, abbreviation ASIC), field programmable gate array (Field-Programmable Gate Array,
Abbreviation FPGA) either other programmable logic device, discrete gate or transistor logic, discrete hardware components.
In another embodiment provided by the invention, a kind of computer readable storage medium is additionally provided, which can
It reads to be stored with instruction in storage medium, when run on a computer, so that computer executes any institute in above-described embodiment
A kind of interpolation method for the motion compensation stated.
In another embodiment provided by the invention, a kind of computer program product comprising instruction is additionally provided, when it
When running on computers, so that computer executes a kind of interpolation method of any motion compensation in above-described embodiment.
In the above-described embodiments, can come wholly or partly by software, hardware, firmware or any combination thereof real
It is existing.When implemented in software, it can entirely or partly realize in the form of a computer program product.The computer program
Product includes one or more computer instructions.When loading on computers and executing the computer program instructions, all or
It partly generates according to process or function described in the embodiment of the present invention.The computer can be general purpose computer, dedicated meter
Calculation machine, computer network or other programmable devices.The computer instruction can store in computer readable storage medium
In, or from a computer readable storage medium to the transmission of another computer readable storage medium, for example, the computer
Instruction can pass through wired (such as coaxial cable, optical fiber, number from a web-site, computer, server or data center
User's line (DSL)) or wireless (such as infrared, wireless, microwave etc.) mode to another web-site, computer, server or
Data center is transmitted.The computer readable storage medium can be any usable medium that computer can access or
It is comprising data storage devices such as one or more usable mediums integrated server, data centers.The usable medium can be with
It is magnetic medium, (for example, floppy disk, hard disk, tape), optical medium (for example, DVD) or semiconductor medium (such as solid state hard disk
Solid State Disk (SSD)) etc..
It should be noted that, in this document, relational terms such as first and second and the like are used merely to a reality
Body or operation are distinguished with another entity or operation, are deposited without necessarily requiring or implying between these entities or operation
In any actual relationship or order or sequence.Moreover, the terms "include", "comprise" or its any other variant are intended to
Non-exclusive inclusion, so that the process, method, article or equipment including a series of elements is not only wanted including those
Element, but also including other elements that are not explicitly listed, or further include for this process, method, article or equipment
Intrinsic element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that
There is also other identical elements in process, method, article or equipment including the element.
Each embodiment in this specification is all made of relevant mode and describes, same and similar portion between each embodiment
Dividing may refer to each other, and each embodiment focuses on the differences from other embodiments.Especially for device reality
For applying example, since it is substantially similar to the method embodiment, so being described relatively simple, related place is referring to embodiment of the method
Part explanation.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the scope of the present invention.It is all
Any modification, equivalent replacement, improvement and so within the spirit and principles in the present invention, are all contained in protection scope of the present invention
It is interior.
Claims (10)
1. a kind of interpolation method of motion compensation, which is characterized in that the described method includes:
Determine to be predicted piece of sub-pixel point to be predicted；
For each sub-pixel point to be predicted, the pixel average of the associated target pixel points of sub-pixel point to be predicted is obtained,
The target pixel points are by being in same preset in addition to the sub-pixel point to be predicted, and with the sub-pixel point to be predicted
What the pixel on interpolation direction determined, the preset interpolation direction is the point centered on the sub-pixel point to be predicted, is greater than 0
Spend less than 180 degree and the direction for being 90 degree；The target pixel points are the whole pixel institute adjacent with sub-pixel point to be predicted
The pixel being expert at；
By the pixel average of target pixel points, it is determined as the first direction of sub-pixel point to be predicted estimating pixel value；
Pixel value and original image will be estimated based on first direction, to be predicted piece of rate distortion costs being calculated and are based on
Second direction estimates pixel value and original image, and to be predicted piece of rate distortion costs being calculated are compared, and selects to pre-
Pixel value is estimated in the lesser direction of rate distortion costs for surveying block, is determined as the pixel value of sub-pixel point to be predicted.
2. obtaining should be to the method according to claim 1, wherein described be directed to each sub-pixel point to be predicted
Predict the pixel average of the associated target pixel points of sub-pixel point, comprising:
For each sub-pixel point to be predicted, on preset interpolation direction, if there is with the sub-pixel o'clock to be predicted one
Whole pixel on line, then will be determined as object pixel with the whole pixel of the sub-pixel o'clock to be predicted on a line
Point；
If on preset interpolation direction, there is no with the whole pixel of the sub-pixel o'clock to be predicted on a line, will
With the sub-pixel o'clock to be predicted on a line, remaining sub-pixel point in addition to the sub-pixel point to be predicted is as target picture
Vegetarian refreshments；The target pixel points are the whole pixel of the row pixel adjacent with sub-pixel point to be predicted；
Based on the target pixel points, the pixel average of target pixel points is calculated.
3. the method according to claim 1, wherein determining that second direction estimates pixel value using following steps:
For each sub-pixel point to be predicted, if the sub-pixel point to be predicted and whole pixel are inserted in same column using vertical
The weight of the pixel value of whole pixel with the sub-pixel point same column to be predicted and preset sub-pixel point is carried out phase by value method
Multiply；
If the sub-pixel point to be predicted is being gone together with whole pixel, Horizontal interpolation method is used, it will be with the sub- picture to be predicted
The pixel value of the whole pixel of vegetarian refreshments colleague is multiplied with the weight of preset sub-pixel point；
By the cumulative of product and with default accuracy value 2NIt is added, will add up result and move to right N+1 binary digit, after displacement
The second direction that addition result is determined as sub-pixel point to be predicted estimates pixel value；The weight of the value of N and preset sub-pixel point
Cumulative and one-to-one correspondence.
4. according to the method described in claim 3, it is characterized in that, the method also includes:
For each sub-pixel point to be predicted, if the sub-pixel point to be predicted and whole pixel are not being gone together or not same
Column then use Horizontal interpolation method, calculate with the sub-pixel point to be predicted in same column, and with whole pixel in the sub-pixel gone together
The pixel value of point；
Using Vertical Interpolation Methods, will with the sub-pixel point same column to be predicted, and with whole pixel in the sub-pixel point gone together
Pixel value is multiplied with the weight of preset sub-pixel point, by the cumulative of product and with default accuracy value 2MIt is added, it will
Addition result moves to right M+1 binary digit；
By the addition result after displacement, it is determined as second direction and estimates pixel value；The value of M is 2N+1, the value of N and preset son
The weight of pixel is cumulative and corresponds.
5. the method according to claim 1, wherein determining the pixel value of target pixel points using following steps:
Using Horizontal interpolation method, by the power of the pixel value for the whole pixel gone together with target pixel points and preset sub-pixel point
It is multiplied again；
By the cumulative of the weight product of the pixel value for the whole pixel gone together with target pixel points and preset sub-pixel point and, with
Default accuracy value 2NIt is added, will add up result and move to right N+1 binary digit；
By the addition result after displacement, it is determined as the pixel value of the target pixel points；The power of the value of N and preset sub-pixel point
It adds up and corresponds again.
6. a kind of interpolating apparatus of motion compensation, which is characterized in that described device includes:
Pixel determining module, for determining to be predicted piece of sub-pixel point to be predicted；
Module is obtained, for being directed to each sub-pixel point to be predicted, obtains the associated target pixel points of sub-pixel point to be predicted
Pixel average, the target pixel points be by addition to the sub-pixel point to be predicted, and with the sub-pixel point to be predicted
What the pixel on same preset interpolation direction determined, the preset interpolation direction is with the sub-pixel point to be predicted
Centered on point, 180 degree is less than greater than 0 degree and is not 90 degree of direction；The target pixel points be and sub-pixel point phase to be predicted
Adjacent whole pixel pixel of the row；
Module is estimated, it is for being determined as the pixel average of target pixel points that the first direction of sub-pixel point to be predicted is pre-
Estimate pixel value；
Pixel value determining module estimates pixel value and original image for that will be based on first direction, to be predicted piece be calculated
Rate distortion costs, and pixel value and original image are estimated based on second direction, to be predicted piece of the rate distortion generation being calculated
Valence is compared, and is selected to be predicted piece of the lesser direction of rate distortion costs to estimate pixel value, is determined as sub-pixel point to be predicted
Pixel value.
7. device according to claim 6, which is characterized in that the acquisition module is specifically used for:
For each sub-pixel point to be predicted, on preset interpolation direction, if there is with the sub-pixel o'clock to be predicted one
Whole pixel on line, then will be determined as object pixel with the whole pixel of the sub-pixel o'clock to be predicted on a line
Point；
If on preset interpolation direction, there is no with the whole pixel of the sub-pixel o'clock to be predicted on a line, will
With the sub-pixel o'clock to be predicted on a line, remaining sub-pixel point in addition to the sub-pixel point to be predicted is as target picture
Vegetarian refreshments；The target pixel points are the whole pixel of the row pixel adjacent with sub-pixel point to be predicted；
Based on the target pixel points, the pixel average of target pixel points is calculated.
8. device according to claim 6, which is characterized in that described device further include: second direction estimates module, specifically
For:
For each sub-pixel point to be predicted, if the sub-pixel point to be predicted and whole pixel are inserted in same column using vertical
The weight of the pixel value of whole pixel with the sub-pixel point same column to be predicted and preset sub-pixel point is carried out phase by value method
Multiply；
If the sub-pixel point to be predicted is being gone together with whole pixel, Horizontal interpolation method is used, it will be with the sub- picture to be predicted
The pixel value of the whole pixel of vegetarian refreshments colleague is multiplied with the weight of preset sub-pixel point；
By the cumulative of product and with default accuracy value 2NIt is added, will add up result and move to right N+1 binary digit, after displacement
The second direction that addition result is determined as sub-pixel point to be predicted estimates pixel value；The weight of the value of N and preset sub-pixel point
Cumulative and one-to-one correspondence.
9. device according to claim 8, which is characterized in that described device further include:
Computing module is specifically used for:
For each sub-pixel point to be predicted, if the sub-pixel point to be predicted and whole pixel are not being gone together or not same
Column then use Horizontal interpolation method, calculate with the sub-pixel point to be predicted in same column, and with whole pixel in the sub-pixel gone together
The pixel value of point；
Using Vertical Interpolation Methods, will with the sub-pixel point same column to be predicted, and with whole pixel in the sub-pixel point gone together
Pixel value is multiplied with the weight of preset sub-pixel point, by the cumulative of product and with default accuracy value 2MIt is added, it will
Addition result moves to right M+1 binary digit；
By the addition result after displacement, it is determined as second direction and estimates pixel value；The value of M is 2N+1, the value of N and preset son
The weight of pixel is cumulative and corresponds.
10. device according to claim 6, which is characterized in that described device further include:
Target pixel points determining module, is specifically used for:
Using Horizontal interpolation method, by the power of the pixel value for the whole pixel gone together with target pixel points and preset sub-pixel point
It is multiplied again；
By the cumulative of the weight product of the pixel value for the whole pixel gone together with target pixel points and preset sub-pixel point and, with
Default accuracy value 2NIt is added, will add up result and move to right N+1 binary digit；
By the addition result after displacement, it is determined as the pixel value of the target pixel points；The power of the value of N and preset sub-pixel point
It adds up and corresponds again.
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