Add salt or pepper or random valued impulse noise to image
% Add salt or pepper noise to image of certain density
% image_noisy = pepperOrSalt(image_orig, ND, type_noise, min_val, max_val)
% image_noisy = image after adding salt or pepper or both salt and pepper noise
% image_orig = image after adding salt or pepper or both salt and pepper noise
% ND = noise density, default value is 0.2(20% noise)
% type_noise = decides whether to add salt or pepper or both type of noise,
% value of 1 for pepper, 2 for salt and 3 for both salt and pepper noise.
% Default value is 3(both salt and pepper will be added in case od default value)
% min_val = the value of minimum noise. Value of 0 for pepper noise.
% Different value should be assigned to min_val in case of random valued
% impulse noise
% max_val = the value of maximum noise. Value of 1 for pepper noise in case of image with range [0,1]
% whereas value of 255 should be assigned in case of image with range
% [0,255].
% Different value should be assigned to max_val in case of random valued
% impulse noise
%%
function img = pepperOrSalt(varargin)
if length(varargin) == 1
img = varargin{1};
ND = 0.2;
type_noise = 3;
class_img = class(img);
min_val = 0;
if(isa(class_img ,'uint8'))
max_val = 255;
else
max_val = 255;
end
elseif length(varargin) < 3
img = varargin{1};
ND = varargin{2};
type_noise = 3;
class_img = class(img);
min_val = 0;
if(isa(class_img ,'uint8'))
max_val = 255;
else
max_val = 1;
end
elseif length(varargin) == 3
img = varargin{1};
ND = varargin{2};
type_noise = varargin{3};
class_img = class(img);
min_val = 0;
if(isa(class_img ,'uint8'))
max_val = 255;
else
max_val = 1;
end
elseif length(varargin) == 4
img = varargin{1};
ND = varargin{2};
type_noise = varargin{3};
min_val = varargin{4};
class_img = class(img);
if(isa(class_img ,'uint8'))
max_val = 255;
else
max_val = 1;
end
max_val = max(img(:));
elseif length(varargin) >= 5
img = varargin{1};
ND = varargin{2};
type_noise = varargin{3};
min_val = varargin{4};
max_val = varargin{5};
else
disp('not enough input parameter');
img = 0;
return;
end
Narr = rand(size(img));
if type_noise == 1
img(Narr<ND) = min_val;
elseif type_noise == 2
img(Narr<ND) = max_val;
else
img(Narr<ND/2) = min_val;
img((Narr>=ND/2)&(Narr<ND)) = max_val;
end
Zitieren als
Sajid Khan (2024). Add salt or pepper or random valued impulse noise to image (https://www.mathworks.com/matlabcentral/fileexchange/46256-add-salt-or-pepper-or-random-valued-impulse-noise-to-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
Quellenangaben
Inspiriert: rving(varargin)
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 |