degrade.m

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function ifbl = degrade(im, LEN, THETA, noisetype, M, V)
%Function to degrade image
%Inputs: im, LEN, THETA, Noise type, M & V
%Returns: ifbl
%
%Description:
%im:    It is the input image
%LEN:   It is the no. of pixels by which we can blur the image
%       eg.: (1 - 100)  (Less Blur - More blur)
%THETA: It is the angle at which we have to blur the image
%       eg.: (0 - 180)
%noisetype: It is the type of noise we can consider
%     We are considering 'salt & pepper', 'gaussian', 'poisson' & 'speckle'
%M:   This is
%     Mean when noisetype is 'gaussian' & 
%     Density when noisetype is 'salt & pepper'.
%     Default is 0 for 'gaussian'
%     Default is 0.05 for 'salt & pepper'
%V:   This is the variance to the image
%     Default is 0.01
%ifbl: This is the blurred image in spatial domain
%
%Example:
%       ifbl = degrade(im, 30, 20, 'salt & pepper')
%       This call blurs the image with length 30 and angle 20.
%       'salt & pepper' noise is added to the image.

%Converting the image to grayshade by eliminating hue and saturation
if size(im, 3) == 3,
    im = rgb2gray(im);
end

%Converting to double
imd = im2double(im);

%Converting the image to frequency domain
imf = fft2(imd);

%Create PSF of degradation
PSF = fspecial('motion',LEN,THETA);

%Convert psf to otf of desired size
%OTF is Optical Transfer Function
%fbl is blurred image in frequency domain
OTF = psf2otf(PSF,size(im));

%Blurring the image
fbl = OTF.*imf;

%Converting back to spatial domain
ifbl = abs(ifft2(fbl));

%Checking if the image is in the range 0 to 1
for i = 1:size(ifbl, 1)
    for j = 1:size(ifbl, 2)
        if ifbl(i, j) >= 1
            ifbl(i, j) = 0.999999;
        end
        if ifbl(i, j) <= 0
            ifbl(i, j) = 0.000001;
        end
    end
end        

%Adding noise
if nargin>3
    if nargin==4      %using default values
        ifbl = imnoise(ifbl, noisetype);
    elseif nargin==5  %specifying additional parameters explicitly
        ifbl = imnoise(ifbl, noisetype, M);
    elseif nargin==6  %specifying additional parameters explicitly
        ifbl = imnoise(ifbl, noisetype, M, V);
    end
end