noise removal from image
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I have a series of 1000 images extracted from a video. There are horizontal bright and dark noises in each image. The position of these horizontal noises are different for different images. How to get rid of such kind of noise.
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Accepted Answer
Akira Agata
on 15 Apr 2019
If the noise is exactly horizontal, one straight-forward solution would be like this:
% Read your image and convert it to gray-scale
I = imread('img.jpeg');
Igray = rgb2gray(I);
% Extract the target region
Igray = imcrop(Igray,[178 20 443 443]);
% Estimate line noise in horizontal direction
rowAvg = mean(double(Igray),2);
rowNoise = rowAvg - mean(rowAvg);
% Cancellation of noise
Igray2 = double(Igray) - rowNoise;
Igray2 = uint8(Igray2);
% Compare original and processed image
figure
subplot(1,2,1)
imshow(Igray)
title('Original image','FontSize',16)
subplot(1,2,2)
imshow(Igray2)
title('After processing','FontSize',16)
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