【图像处理】使用多重融合技术进行单图像去雾（Matlab实现）

原创已于 2024-08-21 11:26:12 修改 · 406 阅读

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#图像处理 #matlab #人工智能

于 2024-08-21 10:51:08 首次发布

“在代码的海洋里，有无尽的知识等待你去发现。我就是那艘领航的船，带你乘风破浪，驶向代码的彼岸。

💥💥💞💞欢迎来到本博客❤️❤️💥💥

🏆博主优势：🌞🌞🌞博客内容尽量做到思维缜密，逻辑清晰，为了方便读者。

⛳️座右铭：行百里者，半于九十。

📋📋📋本文目录如下：🎁🎁🎁

💥1 概述

使用多重融合技术进行单图像去雾是一种处理图像的技术，旨在改善雾天拍摄的照片的质量。这种方法结合了多种去雾算法和技术，通过分析和融合不同的处理结果来获得更加自然和清晰的无雾图像。在雾天或其他低能见度条件下拍摄的照片往往受到大气散射的影响，导致图像模糊不清、色彩失真。单图像去雾的目标是在没有额外信息的情况下，仅通过修改原始图像来恢复清晰的无雾图像。使用多重融合技术进行单图像去雾能够综合多种算法的优点，通过融合不同算法的输出来克服单一算法的局限性，从而获得更好的去雾效果。这种技术在实际应用中具有较高的灵活性和鲁棒性，适用于各种雾天环境下的图像处理。

📚2 运行结果

主函数部分代码：

clc
close all
clear all
im = im2double(imread('../data/hazed6.jpg'));
imshow(im);
title('Original Hazy Image');

% Inputs that are derrived from the Hazy image
firstInput = whiteBalance( im );
figure;subplot(1,2,1);imshow(firstInput);title('First Input');
secondInput = enhanceContrast( im );
subplot(1,2,2);imshow(secondInput);title('Second Input');

%Weight maps of the First Input
luminanceWeightmap1 = luminanceWeightmap(firstInput);
figure;subplot(1,3,1);imshow(luminanceWeightmap1);title('luminanceWeightmap of First input');
chromaticWeightmap1 = chromaticWeightmap(firstInput);
subplot(1,3,2);imshow(chromaticWeightmap1);title('chromaticWeightmap of First input');
saliencyWeightmap1 = saliencyWeightmap(firstInput);
subplot(1,3,3);imshow(saliencyWeightmap1);title('saliencyWeightmap of First input');

%Resultant Weight map of the first input
resultedWeightmap1 = luminanceWeightmap1 .* chromaticWeightmap1 .* saliencyWeightmap1 ;

%Weightmaps of the Second Input
luminanceWeightmap2 = luminanceWeightmap(secondInput);
figure;subplot(1,3,1);imshow(luminanceWeightmap2);title('luminanceWeightmap of Second input');
chromaticWeightmap2 = chromaticWeightmap(secondInput);
subplot(1,3,2);imshow(chromaticWeightmap2);title('chromaticWeightmap of Second input');
saliencyWeightmap2 = saliencyWeightmap(secondInput);
subplot(1,3,3);imshow(saliencyWeightmap2);title('saliencyWeightmap of Second input');

%Resultant Weight map of the second input
resultedWeightmap2 = luminanceWeightmap2 .* chromaticWeightmap2 .* saliencyWeightmap2 ;

%Normalized Weight maps of the Inputs
normaizedWeightmap1 = resultedWeightmap1 ./ (resultedWeightmap1 + resultedWeightmap2);
normaizedWeightmap2 = resultedWeightmap2 ./ (resultedWeightmap1 + resultedWeightmap2);


%Generating Gaussian Pyramid for normalized weight maps
gaussianPyramid1 = genPyr(normaizedWeightmap1,'gauss',5);
gaussianPyramid2 = genPyr(normaizedWeightmap2,'gauss',5);

for i = 1 : 5
    tempImg = [];
    for j = 1 : size(im,3)
        laplacianPyramid1 = genPyr(firstInput(:,:,j),'laplace',5); %Generating Laplacian Pyramid for derrived inputs
        laplacianPyramid2 = genPyr(secondInput(:,:,j),'laplace',5);
        rowSize = min([size(laplacianPyramid1{i},1),size(laplacianPyramid2{i},1),size(gaussianPyramid1{i},1),size(gaussianPyramid2{i},1)]);
        columnSize = min([size(laplacianPyramid1{i},2),size(laplacianPyramid2{i},2),size(gaussianPyramid1{i},2),size(gaussianPyramid2{i},2)]);
        tempImg(:,:,j) = laplacianPyramid1{i}(1:rowSize , 1:columnSize) .* gaussianPyramid1{i}(1:rowSize, 1:columnSize) + laplacianPyramid2{i}(1:rowSize, 1:columnSize) .* gaussianPyramid2{i}(1:rowSize, 1:columnSize);
    end
    fusedPyramid1{i} = tempImg;
end