How to remove gaussian noise?
55 visualizaciones (últimos 30 días)
Mostrar comentarios más antiguos
Abirami
el 1 de Nov. de 2014
Comentada: Image Analyst
el 28 de Dic. de 2020
Hello, I'm working on image encryption. I need to see how well my encryption is so i thght of adding noise and testing it.I added gaussian noise with the following code.My problem is i dont know how to remove it before applying decryption algorithm.i get decimal values, I want to get whole numbers in the resulting matrix.
I=imread('leena.bmp');
M =0;
V=0.01;
imshow(I);
title('Original Image');
J = imnoise(I,'gaussian',M,V);
figure,imshow(J);
title('Gaussian Noise');
i'm planning to add other noises as well like poisson noise, speckle noise and salt and pepper noise. Is there any possibility that a code exists for removing all these noises separately? please help..thanks in advance
Respuesta aceptada
Image Analyst
el 1 de Nov. de 2014
For Gaussian noise, the maximum likelihood de-noised answer would just be a local mean, which you can do with conv2():
denoisedImage = conv2(double(noisyImage), ones(3)/9, 'same');
If you want to do Salt and Pepper noise, then see my attached demos where I use a modified median filter.
12 comentarios
Image Analyst
el 13 de Ag. de 2020
If you check the documentation you'll see that it's the window size of the window that scans across the image.
Más respuestas (1)
lakpa tamang
el 15 de Dic. de 2019
Image Analyst.. can you explain how does the denoising works actually.. mathamatically?
3 comentarios
RAJSHREE SRIVASTAVA
el 28 de Dic. de 2020
Image analyst , I am trying to excute the last file of
But I am getting error : salt_and_pepper_noise_removal_grayscale
Undefined function or variable 'salt_and_pepper_noise_removal_grayscale'.
Please do help
Image Analyst
el 28 de Dic. de 2020
How are you trying to run it? Is it open in the editor window? Did you click the green run triangle? Then it will run. I just ran it again to make sure everything works fine, and it does.
Ver también
Productos
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!