plot noise

Hi,

Please, what the name of the function that plot this noise, I want to understand the work of this function, what is the appropriate titles of the horizontal and vertical coordinates after the plot the noise?

% Noisy step

step = 1+[ones([32 64]) ; zeros([32 64])];

noise = 0.1 * randn(size(step));

im = (step + noise);

im = double(im);

figure(1), clf;

subplot(1,2,1); imshow(im,[0,3]);

figure(2); clf; ; 

plot(im(:,32));

Answer 1

[Sanchari]

Hello Ahmed,

The code provided here generates and plots a noisy step image. Here is a breakdown of the code and the appropriate titles for the horizontal and vertical coordinates:

1. Generating the Step Image: The following code creates a 64x64 matrix "step" where the top half (32 rows) is filled with ones, and the bottom half (32 rows) is filled with zeros. Adding 1 to the entire matrix makes the top half filled with 2s and the bottom half filled with 1s.

step = 1 + [ones([32 64]) ; zeros([32 64])];

2. Adding Noise: This adds Gaussian noise with a standard deviation of 0.1 to the step image. The "randn" function generates normally distributed random numbers. The resulting noisy image is stored in "im".

noise = 0.1 * randn(size(step));
im = (step + noise);
im = double(im);

3. Displaying the Noisy Step Image: This displays the noisy step image using the "imshow" function. The [0, 3] range specifies the display range for the image.

figure(1), clf;
subplot(1,2,1); imshow(im, [0, 3]);

4. Plotting a Column of the Noisy Image: This plots the values of the 32nd column of the noisy image. The "plot" function is used to create the plot.

figure(2); clf;
plot(im(:,32));

When plotting the noisy step image and the column of the noisy image, appropriate titles for the horizontal and vertical coordinates can help in understanding the data. Here's a sample code including the same:

% Generate the step image
step = 1 + [ones([32 64]) ; zeros([32 64])];

% Add Gaussian noise
noise = 0.1 * randn(size(step));
im = (step + noise);
im = double(im);

% Display the noisy step image
figure(1), clf;
subplot(1,2,1);
imshow(im, [0, 3]);
title('Noisy Step Image');
xlabel('Pixel Column');
ylabel('Pixel Row');

% Plot the values of the 32nd column of the noisy image
figure(2); clf;
plot(im(:,32));
title('Intensity Values of the 32nd Column');
xlabel('Pixel Row Index');
ylabel('Intensity Value');

Output for the above code:

Hope this helps!