how calculate the Background noise in an image?
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how can i calculate the Background noise in an image?
Answers (2)
Image Analyst
on 14 Jul 2015
0 votes
Take a picture of the background and compute the standard deviation of it. How about that? Or do the same to a smooth part of the image. Should work if you have additive Gaussian noise, but there are lots of different kinds of noise. Can you post an image and say what you want to do with this information?
13 Comments
dziri halima
on 14 Jul 2015
Image Analyst
on 14 Jul 2015
Edited: Image Analyst
on 14 Jul 2015
stDev = std(backgroundImage(:));
dziri halima
on 23 Jul 2015
Image Analyst
on 23 Jul 2015
Please give the error message. ALL OF IT. I need all the red text, not just a small chunk of it like you did. Maybe backgroundImage needs to be cast as double, or maybe you are not using that same name for the variable in your image. Maybe you used "grayImage" or the hated "I" or some other name. I won't know until you post the entire error.
dziri halima
on 23 Jul 2015
Image Analyst
on 23 Jul 2015
Did you see my latest comment??? I asked you for something in it.
dziri halima
on 23 Jul 2015
Image Analyst
on 23 Jul 2015
Exactly like I suggested before: "you are not using that same name for the variable in your image." What is your background image called?
dziri halima
on 23 Jul 2015
Edited: Image Analyst
on 23 Jul 2015
Image Analyst
on 23 Jul 2015
That looks right. Perhaps in the code you misspelled backgroundImage as bachgroundImage or something????
dziri halima
on 23 Jul 2015
Image Analyst
on 23 Jul 2015
There's additive Gaussian noise, Poisson noise, 1/f noise, shot noise, and other kind of stochastic noise. In addition there are systematic noises like fixed pattern noise, quantization noise, etc. The Internet is a better source of education for you than I am, so I encourage you to learn more about noise. I'm not able to give you a course on noise here in the Answers forum for many reasons.
dziri halima
on 23 Jul 2015
Muhammad Usman Saleem
on 23 Jul 2015
0 votes
what kind of noise you are talking about?
4 Comments
dziri halima
on 23 Jul 2015
Muhammad Usman Saleem
on 23 Jul 2015
share image please?
dziri halima
on 23 Jul 2015
Muhammad Usman Saleem
on 24 Jul 2015
i am sharing with you my two lectures , please read it your solution is here. (if you resolve the matter please accept my answer)
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