Hazy image equation implementation.

Question

Silpa K 2019-10-20

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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/486426-hazy-image-equation-implementation

评论： Thiago Henrique Gomes Lobato 2019-10-25

I have an hazy image equation. When I am try to implement that equattion I only get a black image only.

This is my equation. How can I implement this equation in matlab correctly.Please help me.

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KALYAN ACHARJYA 2019-10-20

Can you define A and t(x)?

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Answer 1

Thiago Henrique Gomes Lobato 2019-10-20

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此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/486426-hazy-image-equation-implementation#answer_397304

编辑：Thiago Henrique Gomes Lobato 2019-10-20

在 MATLAB Online 中打开

Can it be possible that you are just making a wrong conversion of your image data? With the code below I show an example of what would be a right and wrong conversion, besides this the code seems to work :

rng default
% Image and parameters
I = imread('cameraman.tif');
A = 0.5;
t = randn(size(I)); % t must have same dimensions as I
t = abs(t)/max(abs(t(:)))*0.7+0.3; % Normalize so no division by zero value possible
Hazy = @(I,A,t) (I-A*(1-t))./t; % Define your function, make sure it is element-wise
% Wrong Image conversion 
J1 = Hazy(double(I),A,t);
% Right image conversion
J2 = Hazy(im2double(I),A,t);
figure,
subplot(1,3,1)
imshow(J1)
subplot(1,3,2)
imshow(I)
subplot(1,3,3)
imshow(J2)

If you have a RGB image, make sure to apply it individually to every third dimension of your image matrix.

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Silpa K 2019-10-23

Sir, the following link is provided my dataset.

I use the '7.1.09' this image from that.

The link is http://sipi.usc.edu/database/database.php?volume=misc&image=24#top

Thiago Henrique Gomes Lobato 2019-10-25

在 MATLAB Online 中打开

The problem was that you was defining your filter as a function of the image values before converting to normalize doubles, so your t had some crazy negative values and produced the black image. The following code works:

clc
clear
rng default
% Image and parameters
M= imread('5.3.02.tiff');
I=im2double(M);
tot = sum(double(I(:)));
[K L] = size(I);
A=((1./(K*L))*tot);
SD=std2(I);
t1= (I./A);
t2= SD * t1;
t= 1-t2;
Hazy = @(I,A,t) (I-A*(1-t))./t; % Define your function, make sure it is element-wise
J1 = Hazy(I,A,t);
figure,
subplot(1,2,1)
imshow(J1,[])
subplot(1,2,2)
imshow(I,[])