基本信息

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   源码介绍

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基于引导滤波的图像融合

function q = guidedfilter(I, p, r, eps)

%   - guidance image: I (should be a gray-scale/single channel image)
%   - filtering input image: p (should be a gray-scale/single channel image)
%   - local window radius: r
%   - regularization parameter: eps

[hei, wid] = size(I);
N = boxfilter(ones(hei, wid), r); 

mean_I = boxfilter(I, r) ./ N;
mean_p = boxfilter(p, r) ./ N;
mean_Ip = boxfilter(I.*p, r) ./ N;
% this is the covariance of (I, p) in each local patch.
cov_Ip = mean_Ip - mean_I .* mean_p; 

mean_II = boxfilter(I.*I, r) ./ N;
var_I = mean_II - mean_I .* mean_I;

a = cov_Ip ./ (var_I eps); 
b = mean_p - a .* mean_I; 

mean_a = boxfilter(a, r) ./ N;
mean_b = boxfilter(b, r) ./ N;

q = mean_a .* I mean_b; 
end