See attached demo.
image processing sinusoidal periodic noise
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how i add a sinusoidal periodic noise to image with a radius 50% from its maximum spectrum frequency (not located on the
u
nor
v
axes).and Show the original and resulting images and how to estimate the noise type (assume you do not know the noise and you do not have the original clean image) and how i can remove the added noise with filter
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Answers (1)
Image Analyst
on 1 Jun 2020
2 Comments
Image Analyst
on 21 Sep 2021
Try this:
rows = 1080;
columns = 1920;
amplitude = 150;% Brightness difference from peak to valley.
offset = 50;%黑暗。
period = 500;
% Create column vector.
y = (1 : rows)';
cosVector = uint8(amplitude * (1 + cos(2 * pi * y / period)) / 2 + offset);
% Replicate it to turn it into a 2-D image.
horizontalBandsImage = repmat(cosVector, [1, columns]);
subplot(2, 2, 1);
imshow(horizontalBandsImage);
axis('on','image');
impixelinfo;
% Create column vector.
x = 1 : columns;
cosVector = uint8(amplitude * (1 + cos(2 * pi * x / period)) / 2 + offset);
% Replicate it to turn it into a 2-D image.
verticalBandsImage = repmat(cosVector, [rows, 1]);
subplot(2, 2, 2);
imshow(verticalBandsImage);
axis('on','image');
impixelinfo;
subplot(2, 2, 3:4);
histogram(verticalBandsImage, 0:255);
gridon;
title('Histogram','FontSize', 15);
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