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PixelandPRNUFeatures_TrainingSet.m
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PixelandPRNUFeatures_TrainingSet.m
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clc
close all
clear
%% This script first resizes the near-duplicate sets created from the LFW dataset to 96x96 and
%% extracts the pixel intensity features and the sensor pattern nosie (PRNU) features from them
% Make sure the Functions/ and Filter/ folder is added to the working directory to ensure PRNU extraction
addpath('Functions/')
addpath('Filter/')
qmf = MakeONFilter('Daubechies',8);
L = 4;
% IPT1
imageDir = 'TRAININGSET\IPT1';
cd(imageDir)
images = dir('*.bmp');
cd('Directory where Filter\ and Functions\ are located')
for i=1:length(images)
i
filename = images(i).name;
img = imresize(double(imread(fullfile(imageDir,filename))),[96,96]);
img = img(:,:,1);
PixelFeatures(i,:) = img(:);
Noisex_fft = PhaseNoiseExtractFromImage_Enhanced(img,qmf,2,L);
%% use this for Basic SPN, enhanced Basic SPN
Noiseresidual_spatial = single(Noisex_fft);
Noiseresidual_testimage = double(Noiseresidual_spatial);
PRNUFeatures(i,:) = Noiseresidual_testimage(:);
FileName{i} = filename;
end
cd('Results\TRAININGSET\FeatsIPT1')
save('PixelFeatures_IPT1.mat','FileName','PixelFeatures')
save('PRNUFeatures_IPT1.mat','PRNUFeatures')
clear images PixelFeatures PRNUFeatures FileName
% IPT2
imageDir = 'TRAININGSET\IPT2';
cd(imageDir)
images = dir('*.bmp');
cd('Directory where Filter\ and Functions\ are located')
for i=1:length(images)
i
filename = images(i).name;
img = imresize(double(imread(fullfile(imageDir,filename))),[96,96]);
img = img(:,:,1);
PixelFeatures(i,:) = img(:);
Noisex_fft = PhaseNoiseExtractFromImage_Enhanced(img,qmf,2,L);
%% use this for Basic SPN, enhanced Basic SPN
Noiseresidual_spatial = single(Noisex_fft);
Noiseresidual_testimage = double(Noiseresidual_spatial);
PRNUFeatures(i,:) = Noiseresidual_testimage(:);
FileName{i} = filename;
end
cd('Results\TRAININGSET\FeatsIPT2')
save('PixelFeatures_IPT2.mat','FileName','PixelFeatures')
save('PRNUFeatures_IPT2.mat','PRNUFeatures')
clear images PixelFeatures PRNUFeatures FileName
% IPT3
imageDir = 'TRAININGSET\IPT3';
cd(imageDir)
images = dir('*.bmp');
cd('Directory where Filter\ and Functions\ are located')
for i=1:length(images)
i
filename = images(i).name;
img = imresize(double(imread(fullfile(imageDir,filename))),[96,96]);
img = img(:,:,1);
PixelFeatures(i,:) = img(:);
Noisex_fft = PhaseNoiseExtractFromImage_Enhanced(img,qmf,2,L);
%% use this for Basic SPN, enhanced Basic SPN
Noiseresidual_spatial = single(Noisex_fft);
Noiseresidual_testimage = double(Noiseresidual_spatial);
PRNUFeatures(i,:) = Noiseresidual_testimage(:);
FileName{i} = filename;
end
cd('Results\TRAININGSET\FeatsIPT3')
save('PixelFeatures_IPT3_Res.mat','FileName','PixelFeatures')
save('PRNUFeatures_IPT3_Res.mat','PRNUFeatures')
clear images PixelFeatures PRNUFeatures FileName
% IPT4
imageDir = 'TRAININGSET\IPT4';
cd(imageDir)
images = dir('*.bmp');
cd('Directory where Filter\ and Functions\ are located')
for i=1:length(images)
i
filename = images(i).name;
img = imresize(double(imread(fullfile(imageDir,filename))),[96,96]);
img = img(:,:,1);
PixelFeatures(i,:) = img(:);
Noisex_fft = PhaseNoiseExtractFromImage_Enhanced(img,qmf,2,L);
%% use this for Basic SPN, enhanced Basic SPN
Noiseresidual_spatial = single(Noisex_fft);
Noiseresidual_testimage = double(Noiseresidual_spatial);
PRNUFeatures(i,:) = Noiseresidual_testimage(:);
FileName{i} = filename;
end
cd('Results\TRAININGSET\FeatsIPT4')
save('PixelFeatures_IPT4.mat','FileName','PixelFeatures')
save('PRNUFeatures_IPT4.mat','PRNUFeatures')
clear images PixelFeatures PRNUFeatures FileName
% IPT5
imageDir = 'TRAININGSET\IPT5';
cd(imageDir)
images = dir('*.bmp');
cd('Directory where Filter\ and Functions\ are located')
for i=1:length(images)
i
filename = images(i).name;
img = imresize(double(imread(fullfile(imageDir,filename))),[96,96]);
img = img(:,:,1);
PixelFeatures(i,:) = img(:);
Noisex_fft = PhaseNoiseExtractFromImage_Enhanced(img,qmf,2,L);
%% use this for Basic SPN, enhanced Basic SPN
Noiseresidual_spatial = single(Noisex_fft);
Noiseresidual_testimage = double(Noiseresidual_spatial);
PRNUFeatures(i,:) = Noiseresidual_testimage(:);
FileName{i} = filename;
end
cd('Results\TRAININGSET\FeatsIPT5')
save('PixelFeatures_IPT5.mat','FileName','PixelFeatures')
save('PRNUFeatures_IPT5.mat','PRNUFeatures')
clear images PixelFeatures PRNUFeatures FileName
% IPT6
imageDir = 'TRAININGSET\IPT6';
cd(imageDir)
images = dir('*.bmp');
cd('Directory where Filter\ and Functions\ are located')
for i=1:length(images)
i
filename = images(i).name;
img = imresize(double(imread(fullfile(imageDir,filename))),[96,96]);
img = img(:,:,1);
PixelFeatures(i,:) = img(:);
Noisex_fft = PhaseNoiseExtractFromImage_Enhanced(img,qmf,2,L);
%% use this for Basic SPN, enhanced Basic SPN
Noiseresidual_spatial = single(Noisex_fft);
Noiseresidual_testimage = double(Noiseresidual_spatial);
PRNUFeatures(i,:) = Noiseresidual_testimage(:);
FileName{i} = filename;
end
cd('Results\FeatsIPT6')
save('PixelFeatures_IPT6.mat','FileName','PixelFeatures')
save('PRNUFeatures_IPT6.mat','PRNUFeatures')
clear images PixelFeatures PRNUFeatures FileName