Suppose I have a matrix of size(3,3).This is up-scaled by 2 making it (6,6).So there would be a number of vacant values between each element of the initial (3,3) matrix.Then how do you fill up the 0 values in addmatrixR by bicubic/liner interpolation
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MSP
el 17 de Jul. de 2017
prevR=magic(3)
m=1;
k1=1
addRmatrix= zeros(2*size(prevR,1),2*size(prevR,2))
for i=1:size(prevR,1);
for j=1:size(prevR,2);
addRmatrix(m,k1)= prevR(i,j);
k1=k1+2 ;
end
m=m+2;
k1=1;
end
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Respuesta aceptada
Stephen23
el 17 de Jul. de 2017
Editada: Stephen23
el 17 de Jul. de 2017
>> M = magic(3)
M =
8 1 6
3 5 7
4 9 2
>> interp2(M,1)
ans =
8.0000 4.5000 1.0000 3.5000 6.0000
5.5000 4.2500 3.0000 4.7500 6.5000
3.0000 4.0000 5.0000 6.0000 7.0000
3.5000 5.2500 7.0000 5.7500 4.5000
4.0000 6.5000 9.0000 5.5000 2.0000
Or the simplest of all:
>> interp2(M)
ans =
8.0000 4.5000 1.0000 3.5000 6.0000
5.5000 4.2500 3.0000 4.7500 6.5000
3.0000 4.0000 5.0000 6.0000 7.0000
3.5000 5.2500 7.0000 5.7500 4.5000
4.0000 6.5000 9.0000 5.5000 2.0000
If you need to specify the sample points, then do something like this:
>> [Xi,Yi] = meshgrid(1:1.0:S(2),1:1.0:S(1));
>> [Xo,Yo] = meshgrid(1:0.5:S(2),1:0.5:S(1));
>> out = interp2(Xi,Yi, M, Xo,Yo)
out =
8.0000 4.5000 1.0000 3.5000 6.0000
5.5000 4.2500 3.0000 4.7500 6.5000
3.0000 4.0000 5.0000 6.0000 7.0000
3.5000 5.2500 7.0000 5.7500 4.5000
4.0000 6.5000 9.0000 5.5000 2.0000
4 comentarios
Stephen23
el 17 de Jul. de 2017
Editada: Stephen23
el 17 de Jul. de 2017
@MSP: Xi and Yi are sample locations of the input data values: I defined these arbitrarily to be with steps of one. Xo and Yo are the sample locations of the output data values: I defined these to have half the step size of the input steps (steps of 0.5).
Más respuestas (1)
C.J. Harris
el 17 de Jul. de 2017
Just use interp2 on the original matrix, like so:
prevR = magic(3)
ans =
8 1 6
3 5 7
4 9 2
addRmatrix = interp2(prevR,1)
ans =
8.0000 4.5000 1.0000 3.5000 6.0000
5.5000 4.2500 3.0000 4.7500 6.5000
3.0000 4.0000 5.0000 6.0000 7.0000
3.5000 5.2500 7.0000 5.7500 4.5000
4.0000 6.5000 9.0000 5.5000 2.0000
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