How can I obtain 20 frames of noise?

Each noise has a mean of 40 and standard deviation of 25. How can I show any one copy of the noise to enhance it for display purpose and the histogram distribution of that noise.

Answer 1

[William Rose]

@Rahul Shah, do your frames have one or two dimensions? I will assume you mean 2D frames. Let's assume each frame is 32x32. The mean and s.d. you have specified will cause some array values to be negative. If the values represent image intensities, then negative values are non-sensical, and you should adjust the mean and SD accordingly.

mn=40;
sd=25;
A=mn*ones(32,32,20)+sd*sqrt(12)*(rand(32,32,20)-0.5);
B=reshape(A,[32*32*20,1]);
fprintf('A: mean=%.3f, s.d.=%.3f, min=%.3f, max=%.3f\n',mean(B),std(B),min(B),max(B));

A: mean=39.958, s.d.=24.929, min=-3.300, max=83.301

A9=A(:,:,9); %frame 9
histogram(A9)

image(A9)

Try.

[William Rose]

rand() produces noise with distribution ~U(0,1). Such noise has and . I first subtracted 0.5 from rand() so that the added noise would have zero mean. Then I multipled (rand()-0.5) by in order to get noise with .

[Rahul Shah]

Thank you so much.

[William Rose]

@Rahul Shah, you're welcome. Good luck!