CN104202554A - Intra-field anti-aliasing and deinterlacing method - Google Patents
Intra-field anti-aliasing and deinterlacing method Download PDFInfo
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Abstract
The invention discloses an intra-field anti-aliasing and deinterlacing method. The method is characterized in that an interpolation point P (x, y) is selected, with x and y being a row number and a column number of a to-be-interpolated point in an image; first, two rows of related pixels above and below the to-be-interpolated point are selected, and smoothing and filtering are performed to form vectors UPPER and UNDER; second, the vectors UPPER and UNDER are used as input of direction models, and direction relevancy values DR(i), i<[-5, 5], of eleven direction models are calculated; a maximum Dmax is found from the direction relevancy values DR(i), and screening is performed; third, a direction estimated value D'(x, y) of the to-be-interpolated point is calculated with direction values of two points on the left and right of the to-be-interpolated point; fourth, a search range is selected according to the direction estimated value D'(x, y) of the to-be-interpolated point; fifth, within the search range, a direction relevancy DR(k), k<(search range), of each direction model is calculated; a maximum is found from the direction relevancies DR (k), and the direction model corresponding to the maximum is an interpolation direction DI of the to-be-interpolated point.
Description
Technical field
The present invention relates to a kind of Computer Image Processing method, particularly an interior de-interlaced method of reverse sawtooth.
Background technology
In prior art, and the immediate scheme of the technology of the present invention: edge self-adaption interpolation method.1, to be inserted some position selected several detection sides to; 2, detection side, make progress, two corresponding pixel values are done difference computing, and result takes absolute value; 3, compare order of magnitude, find out that direction of absolute value minimum, as interpolation direction; 4, in interpolation direction, choose related pixel, add certain weight, calculate interpolation result.Adopt above-mentioned mode to have that row copies, the low side method such as average interpolation in the ranks, image border sawtooth effect is serious, and image vertical definition is not good; Edge self-adaption interpolation method, easily causes edge direction erroneous judgement, and then introduces noise; Interframe movement detects, and operand is large, and resource consumption is large, once and detect mistake, easily introduce the shortcoming of noise.
Summary of the invention
For above-mentioned the deficiencies in the prior art part, the invention provides a de-interlaced method of interior reverse sawtooth, effectively solved the problem that above-mentioned prior art exists.
To achieve these goals, the technical solution used in the present invention is: the de-interlaced method of reverse sawtooth in, it is P (x, y) that this method is established interpolation point, wherein x, y be respectively to be inserted in image line number, the columns at place;
The first step: choose to be inserted some lastrow related pixel: P (x-1, j-4), P (x-1, j-3), P (x-1, j-2), P (x-1, j-1), P (x-1, j), P (x-1, j+1), P (x-1, j+2), P (x-1, j+3), P (x-1, j+4), it is carried out to smothing filtering, obtain vectorial UPPER; Choose to be inserted some next line related pixel: P (x+1, j-4), P (x+1, j-3), P (x+1, j-2), P (x+1, j-1), P (x+1, j), P (x+1, j+1), P (x+1, j+2), P (x+1, j+3), P (x+1, j+4), it is carried out to smothing filtering, obtain vectorial UNDER.
Second step: by vectorial UPPER, UNDER, as the input of direction model, calculates the directional dependency value DR (i) of 11 direction models, i ∈ [5,5].Find out maximum Dmax in DR (i), then do following screening:
If DR (0)=Dmax, D (x, y)=0;
Else if, DR (1)=Dmax and DR (1) >DR (1), D (x, y)=1;
Else if, DR (1)=Dmax and DR (1) >DR (1), D (x, y)=-1;
Else if, DR (2)=Dmax and DR (2) >DR (2), D (x, y)=2;
Else if, DR (2)=Dmax and DR (2) >DR (2), D (x, y)=-2;
Else if, DR (3)=Dmax and DR (3) >DR (3), D (x, y)=3;
Else if, DR (3)=Dmax and DR (3) >DR (3), D (x, y)=-3;
Else if, DR (4)=Dmax and DR (4) >DR (4), D (x, y)=4;
Else if, DR (4)=Dmax and DR (4) >DR (4), D (x, y)=-4;
Else if, DR (5)=Dmax and DR (5) >DR (5), D (x, y)=5;
Else if, DR (5)=Dmax and DR (5) >DR (5), D (x, y)=-5;
Otherwise D=0;
Each point to be inserted, all calculates direction value D (x, y), wherein x, y be respectively to be inserted in image line number, the columns at place.
The 3rd step: with the direction value of to be inserted each two points of left and right, calculate the direction estimated value D ' (x, y) of point to be inserted, concrete formula is:
D’(x,y)＝D(x,y-2)+D(x,y-1)+D(x,y+1)+D(x,y+2)；
The 4th step: according to be inserted some direction estimated value D ' (x, y), choose hunting zone, concrete grammar is:
If D ' (x, y)≤-16, choose-5 ,-4 ,-3 ,-2 ,-1,0 direction model, as hunting zone;
D ' (x, y)≤-12, choose-4 ,-3 ,-2 else if, and-1,0 direction model, as hunting zone;
D ' (x, y) >=12, choose 4,3,2,1 else if, and 0 direction model, as hunting zone;
D ' (x, y) >=16, choose 5,4,3,2 else if, and 1,0 direction model, as hunting zone;
Otherwise, choose-3 ,-2 ,-1,0,1,2,3 direction models, as hunting zone.
As preferably, described calculating result to be inserted, concrete grammar is:
If, DI=0, P (x, y)=(UPPER (5)+UNDER (5))/2;
If, DI=-1 or-2, P (x, y)=(UPPER (4)+UPPER (5)+UNDER (5)+UNDER (6))/4;
If, DI=1 or 2, P (x, y)=(UPPER (5)+UPPER (6)+UNDER (4)+UNDER (5))/4;
If, DI=3, P (x, y)=(UPPER (6)+UNDER (4))/2;
If, DI=-3, P (x, y)=(UPPER (4)+UNDER (6))/2;
If, DI=4, P (x, y)=(UPPER (7)+UNDER (3))/2;
If, DI=-4, P (x, y)=(UPPER (3)+UNDER (7))/2;
If, DI=5, P (x, y)=(UPPER (8)+UNDER (2))/2;
If, DI=-5, P (x, y)=(UPPER (2)+UNDER (8))/2.
Compared with prior art, this beneficial effect of the invention: the present invention by the improvement in method make in field accurately, adaptive direction detects, and avoids interframe movement to detect a large amount of logical resources of required consumption.Effectively suppress the noise that edge sawtooth effect and direction erroneous judgement are introduced, obtain fine and smooth, soft image border.
Accompanying drawing explanation
Fig. 1 is the design diagram of direction model.
Embodiment
Below in conjunction with drawings and the specific embodiments, the present invention is described in further detail.
Referring to Fig. 1, the de-interlaced method of reverse sawtooth in, it is P (x, y) that this method is established interpolation point, wherein x, y be respectively to be inserted in image line number, the columns at place;
The first step: choose to be inserted some lastrow related pixel: P (x-1, j-4), P (x-1, j-3), P (x-1, j-2), P (x-1, j-1), P (x-1, j), P (x-1, j+1), P (x-1, j+2), P (x-1, j+3), P (x-1, j+4), it is carried out to smothing filtering, obtain vectorial UPPER; Choose to be inserted some next line related pixel: P (x+1, j-4), P (x+1, j-3), P (x+1, j-2), P (x+1, j-1), P (x+1, j), P (x+1, j+1), P (x+1, j+2), P (x+1, j+3), P (x+1, j+4), it is carried out to smothing filtering, obtain vectorial UNDER.Second step: by vectorial UPPER, UNDER (refers to and formulates 11 directions and give a numbering (5～5) as direction model, when a direction is detected, set a pixel extraction template, three pairs of specific pixel that extraction the party makes progress are carried out pixel interdependence calculating, wherein A0 and B0 are paired, A1 and B1 are paired, A2 and B2 are paired) input, the directional dependency that calculates 11 direction models (refers in direction model, three pairs of pixel interdependences and value, with DR, represent, be specially: DR=R (A0, B0)+R (A1, B1)+R (A2, B2) 11 directional dependency, be expressed as DR (i), i ∈ [5, 5]) value DR (i), i ∈ [5, 5].Find out maximum Dmax in DR (i), then do following screening:
If DR (0)=Dmax, D (x, y)=0;
Else if, DR (1)=Dmax and DR (1) >DR (1), D (x, y)=1;
Else if, DR (1)=Dmax and DR (1) >DR (1), D (x, y)=-1;
Else if, DR (2)=Dmax and DR (2) >DR (2), D (x, y)=2;
Else if, DR (2)=Dmax and DR (2) >DR (2), D (x, y)=-2;
Else if, DR (3)=Dmax and DR (3) >DR (3), D (x, y)=3;
Else if, DR (3)=Dmax and DR (3) >DR (3), D (x, y)=-3;
Else if, DR (4)=Dmax and DR (4) >DR (4), D (x, y)=4;
Else if, DR (4)=Dmax and DR (4) >DR (4), D (x, y)=-4;
Else if, DR (5)=Dmax and DR (5) >DR (5), D (x, y)=5;
Else if, DR (5)=Dmax and DR (5) >DR (5), D (x, y)=-5;
Otherwise D=0;
Each point to be inserted, all calculate direction value and (refer to the directional dependency that goes out 11 direction models to be inserted some position calculation, find out maximum wherein, the direction numbering that this direction model is corresponding, is the direction value of this point to be inserted, with D (x, y) represent, x, y are respectively to be inserted some place line number, columns) D (x, y), wherein x, y be respectively to be inserted in image line number, the columns at place.
The 3rd step: with the direction value of to be inserted each two points of left and right, calculate direction estimated value the D ' (x of point to be inserted, y) (refer to the direction value sum to be inserted left and right each two points in position, with D ' (x, y) represent, be specially: D ' (x, y)=D (x, y-2)+D (x, y-1)+D (x, y+1)+D (x, y+2) wherein x, y is respectively to be inserted some place line number, columns), concrete formula is: D ' (x, y)=D (x, y-2)+D (x, y-1)+D (x, y+1)+D (x, y+2);
The 4th step: according to be inserted some direction estimated value D ' (x, y), choose hunting zone, concrete grammar is:
If D ' (x, y)≤-16, choose-5 ,-4 ,-3 ,-2 ,-1,0 direction model, as hunting zone;
D ' (x, y)≤-12, choose-4 ,-3 ,-2 else if, and-1,0 direction model, as hunting zone;
D ' (x, y) >=12, choose 4,3,2,1 else if, and 0 direction model, as hunting zone;
D ' (x, y) >=16, choose 5,4,3,2 else if, and 1,0 direction model, as hunting zone;
Otherwise, choose-3 ,-2 ,-1,0,1,2,3 direction models, as hunting zone.
In the present embodiment, described calculating result to be inserted, concrete grammar is:
If, DI=0, P (x, y)=(UPPER (5)+UNDER (5))/2;
If, DI=-1 or-2, P (x, y)=(UPPER (4)+UPPER (5)+UNDER (5)+UNDER (6))/4;
If, DI=1 or 2, P (x, y)=(UPPER (5)+UPPER (6)+UNDER (4)+UNDER (5))/4;
If, DI=3, P (x, y)=(UPPER (6)+UNDER (4))/2;
If, DI=-3, P (x, y)=(UPPER (4)+UNDER (6))/2;
If, DI=4, P (x, y)=(UPPER (7)+UNDER (3))/2;
If, DI=-4, P (x, y)=(UPPER (3)+UNDER (7))/2;
If, DI=5, P (x, y)=(UPPER (8)+UNDER (2))/2;
If, DI=-5, P (x, y)=(UPPER (2)+UNDER (8))/2.
Claims (2)
1. a de-interlaced method of interior reverse sawtooth, is characterized in that: it is P (x, y) that this method is established interpolation point, wherein x, y be respectively to be inserted in image line number, the columns at place;
The first step: choose to be inserted some lastrow related pixel: P (x-1, j-4), P (x-1, j-3), P (x-1, j-2), P (x-1, j-1), P (x-1, j), P (x-1, j+1), P (x-1, j+2), P (x-1, j+3), P (x-1, j+4), it is carried out to smothing filtering, obtain vectorial UPPER; Choose to be inserted some next line related pixel: P (x+1, j-4), P (x+1, j-3), P (x+1, j-2), P (x+1, j-1), P (x+1, j), P (x+1, j+1), P (x+1, j+2), P (x+1, j+3), P (x+1, j+4), it is carried out to smothing filtering, obtain vectorial UNDER;
Second step: by vectorial UPPER, UNDER, as the input of direction model, calculates the directional dependency value DR (i) of 11 direction models, i ∈ [5,5].Find out maximum Dmax in DR (i), then do following screening:
If DR (0)=Dmax, D (x, y)=0;
Else if, DR (1)=Dmax and DR (1) >DR (1), D (x, y)=1;
Else if, DR (1)=Dmax and DR (1) >DR (1), D (x, y)=-1;
Else if, DR (2)=Dmax and DR (2) >DR (2), D (x, y)=2;
Else if, DR (2)=Dmax and DR (2) >DR (2), D (x, y)=-2;
Else if, DR (3)=Dmax and DR (3) >DR (3), D (x, y)=3;
Else if, DR (3)=Dmax and DR (3) >DR (3), D (x, y)=-3;
Else if, DR (4)=Dmax and DR (4) >DR (4), D (x, y)=4;
Else if, DR (4)=Dmax and DR (4) >DR (4), D (x, y)=-4;
Else if, DR (5)=Dmax and DR (5) >DR (5), D (x, y)=5;
Else if, DR (5)=Dmax and DR (5) >DR (5), D (x, y)=-5;
Otherwise D=0;
Each point to be inserted, all calculates direction value D (x, y), wherein x, y be respectively to be inserted in image line number, the columns at place;
The 3rd step: with the direction value of to be inserted each two points of left and right, calculate the direction estimated value D ' (x, y) of point to be inserted, concrete formula is:
D’(x,y)＝D(x,y-2)+D(x,y-1)+D(x,y+1)+D(x,y+2)；
The 4th step: according to be inserted some direction estimated value D ' (x, y), choose hunting zone, concrete grammar is:
If D ' (x, y)≤-16, choose-5 ,-4 ,-3 ,-2 ,-1,0 direction model, as hunting zone;
D ' (x, y)≤-12, choose-4 ,-3 ,-2 else if, and-1,0 direction model, as hunting zone;
D ' (x, y) >=12, choose 4,3,2,1 else if, and 0 direction model, as hunting zone;
D ' (x, y) >=16, choose 5,4,3,2 else if, and 1,0 direction model, as hunting zone;
Otherwise, choose-3 ,-2 ,-1,0,1,2,3 direction models, as hunting zone;
The 5th step: in hunting zone, calculate the directional dependency DR (k) of all directions model, k ∈ " hunting zone ".Find out maximum in DR (k), the direction model that it is corresponding, is the interpolation direction DI of point to be inserted.
2. the de-interlaced method of reverse sawtooth according to claim 1, is characterized in that: described calculating result to be inserted, and concrete grammar is:
If, DI=0, P (x, y)=(UPPER (5)+UNDER (5))/2;
If, DI=-1 or-2, P (x, y)=(UPPER (4)+UPPER (5)+UNDER (5)+UNDER (6))/4;
If, DI=1 or 2, P (x, y)=(UPPER (5)+UPPER (6)+UNDER (4)+UNDER (5))/4;
If, DI=3, P (x, y)=(UPPER (6)+UNDER (4))/2;
If, DI=-3, P (x, y)=(UPPER (4)+UNDER (6))/2;
If, DI=4, P (x, y)=(UPPER (7)+UNDER (3))/2;
If, DI=-4, P (x, y)=(UPPER (3)+UNDER (7))/2;
If, DI=5, P (x, y)=(UPPER (8)+UNDER (2))/2;
If, DI=-5, P (x, y)=(UPPER (2)+UNDER (8))/2.
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Application publication date: 20141210 |