Calculate Histogram deviation or MDMF

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Renjith V Ravi
Renjith V Ravi el 13 de Feb. de 2017
Editada: Renjith V Ravi el 13 de Feb. de 2017
I am trying to calculate the histogram deviation(H.D) or Maximum Deviation Measuring Factor(M.D.M.F) as mentioned in
and
Two coding,I have done.one is
clear all
close all
clc
plain = imread('lena.bmp');% Read the input image
[M N] = size(plain);
r = uint8(randi([0,256],M,N)); % Generate a random matrix for encryption
cipher = bitxor(plain,r); % Encryption
% x = double(plain);
% y = double(cipher);
x = plain;
y = cipher;
x1 = imhist(x);
y1 = imhist(y);
%then calculate the difference between the two
diff = abs(x1-y1);
%then calculate D as follows
D1 = 0;
for i = 2:255
D1 = D1+diff(i);
end;
D2 = (diff(1)+diff(256))/2;
MDMF = D1+D2/(M*N)
and the other is
clear all
close all
clc
plain = imread('lena.bmp');% Read the input image
[M N] = size(plain);
r = uint8(randi([0,256],M,N)); % Generate a random matrix for encryption
cipher = bitxor(plain,r); % Encryption
% x = double(plain);
% y = double(cipher);
x = plain;
y = cipher;
hi = imhist(x);
hr = imhist(y);
subplot(211)
imhist(x);
title('Histogram of Original Image')
subplot(212)
imhist(y);
title('Histogram of Encrypted Image')
diff = imabsdiff(hi,hr);
% z = abs(hi-hr);
d = ((diff(1)+diff(256))/2);
d1 = sum(diff(2:255));
histogram_deviation = (d+d1)/(256*256)
Please help me identify which code is correct according to the theoretical concepts

Respuestas (1)

Image Analyst
Image Analyst el 13 de Feb. de 2017
The Mathworks does not want us discussing encryption algorithms on their web site.
  1 comentario
Renjith V Ravi
Renjith V Ravi el 13 de Feb. de 2017
Editada: Renjith V Ravi el 13 de Feb. de 2017
I have edited the question.Kindly help me

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