How can I add 20 frames of noise N1 to N20 such that resulting noise in NA1

I want to Add the 20 frames of noise N1…N20 together. The result noise image is NA1. I.e.

NA1=N1+N2+…+N20. I want to Show NA1 (you may want to enhance it for display purpose), and the histogram distribution. What type of distribution does this look like? Using statistical theorem to explain.

[DGM]

You'll need to describe what kind of images you're working with. Are N1 ... N20 individual arrays? Are they parts of an N-D array? If they're an N-D array, are frames arranged on dim3 or dim4? What are their numeric class?

In order to provide a demonstrative answer to the second part, one would need to know how the noise images were supposed to be generated. None of that is communicated. I don't know what the rest of the homework assignment was.

[Meghraj Kc]

Image type is lena type image

The allocated frame is 512x512

[DGM]

That doesn't answer any of the questions.

If the images are separate arrays, you can add them together rather explicitly as in your post.

% NA1 = N1+N2+N3+ ... N20;

If the images are pages/frames of an N-D array, then you can just use sum() along the appropriate dimension

% images arranged on dim3 of an array called N
NA1 = sum(N,3);

In either case, if the images are integer-class arrays, the result will be clipped. You could either do this by converting to floating point or by using a wider integer class. Depending on what you started with and what your analysis requires, this can be done different ways, some of which may require extra steps to get the image displayed correctly.