图像增强基于matlab HSV空间双边滤波图像去雾【含Matlab源码 067期】.zip

clear all;%clear the values clc;%clear the command window tic strhead = '5';%the name of file strtail = '.bmp' ;% the format of the file str = strcat(strhead,strtail); img = im2double(imread(str));%read the image and convert to double. N = 15;%the size of filter sigma = [100 , 0.3];%the parameters of bilateral filter retimg = bialteral(img , N , sigma );%get the illumination image subplot(1,3,1);imshow(img);title('the original image'); subplot(1,3,2);imshow(retimg);title('the illumination image'); %% s-l img_copy = rgb2hsv(img); img_copy3 = log(img_copy(:,:,3)); retimg_copy = rgb2hsv(retimg); retimg_copy3 = log(retimg_copy(:,:,3));%only to v layer r_img = img_copy3 - retimg_copy3; r_img = exp(r_img); N = 4; sigma = [100,0.3]; retinex_img(:,:,3) = bialteral2(r_img,N,sigma);%get reflect image dim = size(img); for i = 1:dim(1) for j = 1:dim(2) img_copy(i,j,3) = img_copy(i,j,3)^(1/3); end end retinex_img(:,:,3) = retinex_img(:,:,3).*(img_copy(:,:,3)); retinex_img(:,:,1) = img_copy(:,:,1); retinex_img(:,:,2) = img_copy(:,:,2); retinex_img = hsv2rgb(retinex_img); %% Gamma-correction % dim = size(img); % for i = 1:dim(1) % for j = 1:dim(2) % for c=1:3 % img(i,j,c) = img(i,j,c)^(1/3); % end % end % end % retinex_img(:,:,1) = retinex_img(:,:,1).*(img(:,:,1)); % retinex_img(:,:,2) = retinex_img(:,:,2).*(img(:,:,2)); % retinex_img(:,:,3) = retinex_img(:,:,3).*(img(:,:,3)); subplot(1,3,3);imshow(retinex_img);title('the retinex image'); % string=strcat(strhead,'_retinex.bmp'); % imwrite(retinex_img,string,'bmp'); t=toc