【图像去噪】基于高斯、均值、中值、双边滤波实现图像去噪含Matlab源码

function B = bfltColor(A,w,sigma_d,sigma_r)%将输入的sRGB图像转换为CIELab颜色空间% Convert input sRGB image to CIELab color space.if exist('applycform','file')   A = applycform(A,makecform('srgb2lab'));else   A = colorspace('Lab<-RGB',A);end%预先计算高斯域权重。% Pre-compute Gaussian domain weights.[X,Y] = meshgrid(-w:w,-w:w);G = exp(-(X.^2+Y.^2)/(2*sigma_d^2));%重缩放范围方差（使用最大亮度）。% Rescale range variance (using maximum luminance).sigma_r = 100*sigma_r;%创建waitbar。% Create waitbar.h = waitbar(0,'Applying bilateral filter...');set(h,'Name','Bilateral Filter Progress');%应用双边滤波器。% Apply bilateral filter.dim = size(A);B = zeros(dim);for i = 1:dim(1)   for j = 1:dim(2)                 %提取局部区域。         % Extract local region.         iMin = max(i-w,1);         iMax = min(i+w,dim(1));         jMin = max(j-w,1);         jMax = min(j+w,dim(2));         I = A(iMin:iMax,jMin:jMax,:);                  %计算高斯距离权重。         % Compute Gaussian range weights.         dL = I(:,:,1)-A(i,j,1);         da = I(:,:,2)-A(i,j,2);         db = I(:,:,3)-A(i,j,3);         H = exp(-(dL.^2+da.^2+db.^2)/(2*sigma_r^2));                  %计算双边滤波器响应。         % Calculate bilateral filter response.         F = H.*G((iMin:iMax)-i+w+1,(jMin:jMax)-j+w+1);         norm_F = sum(F(:));         B(i,j,1) = sum(sum(F.*I(:,:,1)))/norm_F;         B(i,j,2) = sum(sum(F.*I(:,:,2)))/norm_F;         B(i,j,3) = sum(sum(F.*I(:,:,3)))/norm_F;   end   waitbar(i/dim(1));end%将过滤后的图像转换回sRGB颜色空间。% Convert filtered image back to sRGB color space.if exist('applycform','file')   B = applycform(B,makecform('lab2srgb'));else     B = colorspace('RGB<-Lab',B);end% Close waitbar.close(h);