답변 (3개)

Image Analyst
Image Analyst 2016년 10월 25일
편집: Thorsten 2016년 10월 25일

1 개 추천

Use rand() to add an offset and a slight amount of noise. ofr a grayscale image, try this:
maxGL = max(grayImage(:));
hazyImage = uint8(double(grayImage) + 240 - maxGL + 10 * rand(size(grayImage)));
figure;
subplot(1, 2, 1);
imshow(grayImage);
subplot(1, 2, 2);
imshow(hazyImage);

댓글 수: 6

hussein ali
hussein ali 2016년 10월 25일
I do not know how I thank you , thank you very much , but this does not work I have research and I need your help please
Image Analyst
Image Analyst 2016년 10월 25일
Well I think it does work but maybe you don't think it's realistic enough. In that case I invite you to look at the Vision Lab at the University of Dayton that does research into fog and haze removal. Perhaps if you know how it's removed you can learn what constitutes realistic haze and you can generate it. See this link University of Dayton Vision Lab.
hussein ali
hussein ali 2016년 10월 31일
Again many many thanks my teacher for your answer
hussein ali
hussein ali 2016년 11월 24일
my teacher Thorsten May I know why use 240 thank you
Image Analyst
Image Analyst 2016년 11월 24일
I'm not Thorsten but since the 240 was in my code I'll answer anyway. Basically I wanted to brighten the image and add a bit of noise to make it look hazy.
I subtracted maxGL to get the image all negative.
Then I added up to 10 gray levels of noise. So now the gray levels go from large negative up to as much as 10.
Then I added 240 to brighten the image. Whatever the old max was, it will now be at 240. For example it might have been at 130 - doesn't matter - now it will be at 240 so it looks brighter. Then there's still the 10 gray levels of noise on top of that so the image goes to as bright as 250 gray levels. You can change the 240 to be whatever you want, to map the old max brightness to a new level.
hussein ali
hussein ali 2017년 1월 23일
Thank you so much my teacher

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Amjad Mushtaq
Amjad Mushtaq 2022년 6월 2일
편집: Walter Roberson 2022년 9월 19일

0 개 추천

image=imread('image2.jpg');
subplot(2,2,1); imshow(image);title('imege');
a=imcomplement(image);
subplot(2,2,2);imshow(a);title('incomplement');
b=imreducehaze(a); % this is hazy filter code
subplot(2,2,3);imshow(b);title('hazy filter');

댓글 수: 1

Walter Roberson
Walter Roberson 2022년 6월 2일
Ah, but the question was how to add haze, not how to remove it.

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GNANA PRAKASH
GNANA PRAKASH 2022년 9월 19일

0 개 추천

maxGL = max(grayImage(:));
hazyImage = uint8(double(grayImage) + 240 - maxGL + 10 * rand(size(grayImage)));
figure;
subplot(1, 2, 1);
imshow(grayImage);
subplot(1, 2, 2);
imshow(hazyImage);

질문:

2016년 10월 25일

편집:

2022년 9월 19일

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