最近邻、双三次、双线性插值,最近邻插值法和双线性插值法,matlab

function bilinear_interpolation = bilinear_interpolation(filename,R) image = imread(filename); %读入图像 %新图像 [row,col,color] = size(image); %获得图像的行列数及颜色数 row = round(row*R); %新图像行 col = round(col*R); %新图像列 image_new = zeros(row,col,color,class(image)); %新图像初始化 % 按双线性方式对新图像的行、列、颜色赋值 for i = 1:row for j = 1:col for n = 1:color x = round(i/R); y = round(j/R); if x == 0 x = x+1; end if y ==0 y = y+1; end u = i/R-floor(i/R); %求取水平方向上的权重 v = j/R-floor(j/R); %求取垂直方向上的权重 if i >= row-R || j >= col-R image_new(i,j,n) = image(x,y,n); else image_new(i,j,n) = u*v*image(x,y,n)+(1-u)*v*image(x+1,y,n)+u*(1-v)*image(x,y+1,n)+(1-u)*(1-v)*image(x+1,y+1,n); end end end end % 显示原图像 figure; imshow(image); title("Original Image"); % 显示新图像 figure; imshow(image_new); title("New Image");