双边滤波Matlab实现The Bilateral Filter

双边滤波与一般的高斯滤波的不同就是:双边滤波既利用了位置信息<or 几何信息——高斯滤波只用了位置信息>又利用了像素信息来定义滤波窗口的权重。

双边滤波Matlab实现The Bilateral Filter


像素值越接近,权重越大。双边滤波会去除图像的细节信息,又能保持边界。

双边滤波Matlab实现The Bilateral Filter


对于彩色图像,像素值的接近与否不能使用RGB空间值,双边滤波的原始文献建议使用CIE颜色空间。

代码如下: 

function resultI = BilateralFilt2(I,d,sigma)
%%%
%Author:LiFeiteng
%Version:1.0——灰色图像  Time:2013/05/01
%Version:1.1——灰色/彩色图像  Time:2013/05/02  2013/05/05
%d 半窗口宽度
I = double(I);
if size(I,3)==1
    resultI = BilateralFiltGray(I,d,sigma);
elseif size(I,3)==3
    resultI = BilateralFiltColor(I,d,sigma);
else
    error('Incorrect image size')   
end
end

function resultI = BilateralFiltGray(I,d,sigma)

[m n] = size(I);
newI = ReflectEdge(I,d);
resultI = zeros(m,n);
width = 2*d+1;
%Distance
D = fspecial('gaussian',[width,width],sigma(1));
S = zeros(width,width);%pix Similarity
h = waitbar(0,'Applying bilateral filter...');
set(h,'Name','Bilateral Filter Progress');
for i=1+d:m+d
    for j=1+d:n+d
        pixValue = newI(i-d:i+d,j-d:j+d);
        subValue = pixValue-newI(i,j);
        S = exp(-subValue.^2/(2*sigma(2)^2));
        H = S.*D;
        resultI(i-d,j-d) = sum(pixValue(:).*H(:))/sum(H(:));
    end
    waitbar(i/m);
end
close(h);
end

function resultI = BilateralFiltColor(I,d,sigma)
I = applycform(I,makecform('srgb2lab'));
[m n ~] = size(I);
newI = ReflectEdge(I,d);
resultI = zeros(m,n,3);
width = 2*d+1;
%Distance
D = fspecial('gaussian',[width,width],sigma(1));
% [X,Y] = meshgrid(-d:d,-d:d);
% D = exp(-(X.^2+Y.^2)/(2*sigma(1)^2));
S = zeros(width,width);%pix Similarity
h = waitbar(0,'Applying bilateral filter...');
set(h,'Name','Bilateral Filter Progress');
sigma_r = 100*sigma(2);
for i=1+d:m+d
    for j=1+d:n+d
        pixValue = newI(i-d:i+d,j-d:j+d,1:3);
        %subValue = pixValue-repmat(newI(i,j,1:3),width,width);
        dL = pixValue(:,:,1)-newI(i,j,1);
        da = pixValue(:,:,2)-newI(i,j,2);
        db = pixValue(:,:,3)-newI(i,j,3);
        S = exp(-(dL.^2+da.^2+db.^2)/(2*sigma_r^2));
        H = S.*D;
        H = H./sum(H(:));
        resultI(i-d,j-d,1) = sum(sum(pixValue(:,:,1).*H));
        resultI(i-d,j-d,2) = sum(sum(pixValue(:,:,2).*H));   
        resultI(i-d,j-d,3) = sum(sum(pixValue(:,:,3).*H));   
    end
    waitbar(i/m);
end
close(h);
resultI = applycform(resultI,makecform('lab2srgb'));
end

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