Adding Random valued impulse noise to an image
function [ image_noisy ] = addRVIN( image_input, ND, noise_width )
%ADDRVIN adds Random valued impulse noise to an image
% image_input Input noise free image
% ND is noise density that ranges from 0 to 1
% noise_width is width of random valued impulse noise
[~,x] = imhist(image_input);
init_width = x(noise_width);
image_noisy = image_input;
Narr = rand(size(image_noisy));
p = ND/2;
% image_noisy = (image_input + p*rand(size(image_input)))/(1+p);
image_rand = rand(size(image_input));
range_init = init_width;
image_randInit = image_rand*range_init;
% image_noisy(Narr<ND/2) = (init_width + image_rand(Narr<ND/2));
image_noisy(Narr<ND/2) = (image_randInit(Narr<ND/2));
% image_noisy(Narr<ND/2) = (noise_width + p*rand(size(image_input)))/(1+p);
image_randFinal = image_rand*range_init+ x(end) - x(noise_width+1);
image_noisy((Narr>=ND/2)&(Narr<ND)) = image_randFinal((Narr>=ND/2)&(Narr<ND));
% figure, imhist(image_input)
% figure, imhist(image_noisy)
end
Zitieren als
Sajid Khan (2024). Adding Random valued impulse noise to an image (https://www.mathworks.com/matlabcentral/fileexchange/56324-adding-random-valued-impulse-noise-to-an-image), MATLAB Central File Exchange. Abgerufen .
Kompatibilität der MATLAB-Version
Plattform-Kompatibilität
Windows macOS LinuxKategorien
- Image Processing and Computer Vision > Image Processing Toolbox > Image Filtering and Enhancement > Image Arithmetic >
Tags
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Live Editor erkunden
Erstellen Sie Skripte mit Code, Ausgabe und formatiertem Text in einem einzigen ausführbaren Dokument.
Version | Veröffentlicht | Versionshinweise | |
---|---|---|---|
1.0.0.0 | Histogram added |