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Parallized reversible digital watermarking.txt
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Parallized reversible digital watermarking.txt
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PARALLIZED REVERSIBLE DIGITAL WATERMARKING OPENCV
#include "opencv2/core/core.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include "vector"
#include"math.h"
#include"stdlib.h"
#include "iostream"
#include <stdio.h>
#include "omp.h"
using namespace cv;
using namespace std;
const int threads= 2;
int LN, RN;
const double huge_val = 999;
struct histograms
{
double error;
int count;
};
struct Mat_overhead
{
Mat watermarked_image;
vector<int> overhead;
int len_wm;
};
struct LM_RM
{
int LM;
int RM;
Mat error_histogram;
};
struct errors
{
Mat x;
Mat e;
};
int rounding( double value )
{
double intpart, fractpart;
fractpart = modf(value, &intpart);
//for +ve numbers, when fraction is 0.5, odd numbers are rounded up
//and even numbers are rounded down
//and vice versa for -ve numbers
if (value > 0)
{
if(fractpart<0.5)
return (int)intpart;
else
return (int)(intpart+1);
}
else
{
if(fractpart>-0.5)
return (int)intpart;
else
return (int)(intpart-1);
}
//if ((fabs(fractpart) != 0.5) || ((((int)intpart) % 2) != 0))
// return (int)(value + (value >= 0 ? 0.5 : -0.5)); //(value >= 0 ? 0.5 : -0.5)
//else
// return (int)intpart;
}
string type2str(int type) {
string r;
uchar depth = type & CV_MAT_DEPTH_MASK;
uchar chans = 1 + (type >> CV_CN_SHIFT);
switch ( depth ) {
case CV_8U: r = "8U"; break;
case CV_8S: r = "8S"; break;
case CV_16U: r = "16U"; break;
case CV_16S: r = "16S"; break;
case CV_32S: r = "32S"; break;
case CV_32F: r = "32F"; break;
case CV_64F: r = "64F"; break;
default: r = "User"; break;
}
r += "C";
r += (chans+'0');
return r;
}
class Means1 : public cv:: ParallelLoopBody
{
private:
Mat p;
int i;
double **i_x; double **i_e;
public:
Means1 (double **i_xx, double **i_ee, int ii, Mat pp) : i_x(i_xx), i_e(i_ee), i(ii), p(pp){}
// void operator()( const cv::Range &r ) const {}
void operator()( const cv::Range &r ) const
{
int j; double v;
double x_45, x_135, u, sigma_e45, sigma_e135, w45, w135;
double S45_1, S45_2, S45_3, S135_1, S135_2, S135_3;
for( j = r.start; j < r.end; ++j)
{
x_45 = ( i_x[2*i][2*j+2] + i_x[2*i+2][2*j] ) / 2;
x_135 = ( i_x[2*i][2*j] + i_x[2*i+2][2*j+2] ) / 2;
u =( x_45+x_135)/2;
// cout<<"index: "<<2*i+1<<" , "<<2*j+1<<endl;
S45_1 = i_x[2*i][2*j+2];
S45_2=x_45;
S45_3= i_x[2*i+2][2*j];
S135_1= i_x[2*i][2*j];
S135_2= x_135;
S135_3= i_x[ 2*i+2][ 2*j+2];
//cout <<S45_1<<" "<<S45_2<<" "<<S45_3<<endl;
sigma_e45 = ( (S45_1 - u)*(S45_1 - u) + (S45_2 - u)*(S45_2 - u) + (S45_3 - u)*(S45_3 - u) ) / 3;
sigma_e135 = ( (S135_1 - u)*(S135_1 - u) + (S135_2 - u)*(S135_2 - u) + (S135_3 - u)*(S135_3 - u) ) / 3;
w45 = sigma_e135 / ( sigma_e45 + sigma_e135 );
w135 = 1 - w45;
if( (sigma_e45 == 0) && (sigma_e135 == 0) )
i_x[2*i+1][2*j+1] = u;
else
i_x[2*i+1][2*j+1] =rounding( w45*x_45 + w135*x_135 );
i_e[2*i+1][2*j+1] = i_x[2*i+1][2*j+1] - p.at<double>((2*i+1),(2*j+1));
}
}
};
class Means2 : public cv:: ParallelLoopBody
{
private:
Mat s;
int i;
double **i_x;
double **i_e;
public:
Means2(Mat ss, int ii, double **i_xx, double **i_ee) : s(ss), i(ii), i_x(i_xx), i_e(i_ee) {}
void operator()( const cv::Range &r ) const
{
int j;
double S0_1, S0_2, S0_3, S90_1, S90_2, S90_3; double x_0, x_90, u, sigma_e0, sigma_e90, w0, w90;
for( j = r.start; j < r.end; ++j)
{
if( (i+j)%2 == 1 )
{
x_0 = (i_x[i][j-1] + i_x[i][j+1] ) / 2;
x_90 = ( i_x[i-1][j] + i_x[i+1][j] ) / 2;
u = ( i_x[i][j-1] + i_x[i][j+1] + i_x[i-1][j] + i_x[i+1][j] ) / 4;
S0_1 = i_x[i][j-1];
S0_2= x_0;
S0_3= i_x[i][j+1];
S90_1 = i_x[i-1][j];
S90_2= x_90;
S90_3 = i_x[i+1][j];
sigma_e0 = ( (S0_1 - u)*(S0_1 - u) + (S0_2 - u)*(S0_2 - u) + (S0_3 - u)*(S0_3 - u) ) / 3;
sigma_e90 = ( (S90_1 - u)*(S90_1 - u) + (S90_2 - u)*(S90_2 - u) + (S90_3 - u)*(S90_3 - u) ) / 3;
w0 = sigma_e90 / ( sigma_e0 + sigma_e90 );
w90 = 1 - w0;
if( (sigma_e0 == 0) && (sigma_e90 == 0) )
i_x[i][j] = u;
else
i_x[i][j] = rounding(( w0*x_0 + w90*x_90 ));
i_e[i][j] = i_x[i][j] - s.at<double>(i,j) ;
}
}
}
};
class Equality : public cv:: ParallelLoopBody
{
private:
int i , nr, nc;
double **matrix;
Mat p;
public:
Equality( double **m, int ii, int nrr, int ncc, Mat pp) : matrix(m), i(ii), nr(nrr), nc(ncc), p(pp) {}
void operator()( const cv::Range &r ) const
{
int j;
for( j = r.start; j < r.end; ++j)
{
if( ( i == 0 ) || ( j == 0) || ( i == nr-1 ) || ( j == nc-1 ) )
matrix[i][j]=p.at<double>(i,j);
}
}
};
class DownSample : public cv:: ParallelLoopBody
{
private:
int i;
double **matrix;
Mat p;
public:
DownSample( double **m, int ii, Mat pp) : matrix(m), i(ii), p(pp) {}
void operator()( const cv::Range &r ) const
{
int j;
for( j = r.start; j < r.end; ++j)
{
if ( ( i%2 == 0 ) && (j%2 == 0 ) )
matrix[i][j]=p.at<double>(i,j);
}
}
};
class Ones_init : public cv:: ParallelLoopBody
{
private:
int i , flag;
double **matrix;
public:
Ones_init( double **m, int ii, int flagg) : matrix(m), i(ii), flag(flagg) {}
void operator()( const cv::Range &r ) const
{
int j;
for( j = r.start; j < r.end; ++j)
{
matrix[i][j]=flag;
}
}
};
errors Interpolated( Mat p)
{
//Interpolate
int i, j;
int nr= p.size().height;
int nc= p.size().width;
const int a=nr;
const int b= nc;
double **img_x= new double*[a];
double **img_e= new double* [a];
for( i = 0; i < 512; ++i)
{
img_x[i] = new double[b];
img_e[i] = new double[b];
}
errors error_em;
cvSetNumThreads(threads);
error_em.x = Mat_<double>(nr,nc);
//error_em.x= -1 * Mat::ones(nr, nc, CV_64FC1); //img_xneeeds to be initialised.
for (i = 0; i<nr; i++)
parallel_for_(cv::Range(0,nc), Ones_init( img_x, i, -1) );
//Create Margin
for (i = 0; i<nr; i++)
parallel_for_(cv::Range(0,nc), Equality( img_x, i, nr, nc, p) );
// Down Sample => Get the Low Resolution Pixels
for (i = 0; i<nr;i++)
parallel_for_(cv::Range(0,nc), DownSample( img_x, i, p) );
//Error Matrix
error_em.e = Mat_<double>(nr,nc);
//error_em.e = huge_val* Mat::ones( nr, nc, CV_64FC1);
for (i = 0; i<nr; i++)
parallel_for_(cv::Range(0,nc), Ones_init( img_e, i, 999) );
// STEP I (center high resolution pixels)
for (i = 0; i<(nr/2 - 1); i++)
parallel_for_( cv::Range(0,(nr/2-1)), Means1(img_x, img_e, i, p) );
// STEP II (residual high resolution pixels)
//cout<<" NO > OF THREDS: "<<getNumThreads();
for (i = 1; i<(nr-1); i++)
parallel_for_( cv::Range(1,(nr-1)), Means2(p, i , img_x, img_e) );
for( i=0; i < nr; i++)
{
for( j=0; j < nc; j++)
{
error_em.x.at<double>(i,j) = img_x[i][j];
error_em.e.at<double>(i,j) = img_e[i][j];
}
}
//long long int sum=0;
//for(i=0;i<nr;i++)
// {
// for(j=0;i<nc;j++)
// sum+=error_em.x.at<double>(i,j);
//}
//cout<<" Sum of interpolated matrix: "<<sum<<endl;
return error_em; //Started comment
}
std::vector<double> unique(const cv::Mat& input, bool sort = false)
{
std::vector<double> out;
for (int y = 0; y < input.rows; ++y)
{
const double* row_ptr = input.ptr<double>(y);
for (int x = 0; x < input.cols; ++x)
{
double value = row_ptr[x];
if ( std::find(out.begin(), out.end(), value) == out.end() )
out.push_back(value);
}
}
if (sort)
std::sort(out.begin(), out.end());
return out;
}
LM_RM createHistogram(Mat e_hist)
{
int i, j, k;
int nr= e_hist.size().height;
int nc= e_hist.size().width;
double max_err = 0;
double min_err = 0;
//double min_err = e_hist.at<double>(2,2);
//cout<<"MAX ERROR: "<<max_err<<endl; cout<<"Min ERROR: "<<min_err<<endl;
LM_RM lm_rm;
//cout<<e_hist; //getting 999
//cout<<lm_rm.error_histogram; // getting 999
lm_rm.error_histogram= Mat_<double>(nr, nc);
//Calculating unique element
std::vector<double> unik = unique (e_hist, true);
int histSize = unik.size();
//for(i=0;i<unik.size();i++)
//cout << unik[i]<<" "; // Unique elements in the range of -90 to 78, 999
Mat x_hist=Mat_<double>(nr,nc);
for( i=0; i < nr; i++)
{
for( j = 0; j < nc; j++)
x_hist.at<double>(i,j)=e_hist.at<double>(i,j);
}
//x_hist=e_hist;
Mat new_hist = Mat_<double>(nr,nc);
new_hist=e_hist;
// Finding max and min error
for (i = 0; i< nr; i++)
{
for (j = 0; j<nc; j++)
{
if( e_hist.at<double>(i,j) == huge_val ) //Matrix type has to be double
x_hist.at<double>(i,j) = 0;
else if( e_hist.at<double>(i,j) > max_err )
max_err = e_hist.at<double>(i,j);
else if( e_hist.at<double>(i,j) < min_err )
min_err = e_hist.at<double>(i,j);
}
}
//cout<<"MAX ERROR: "<<max_err<<endl; cout<<"Min ERROR: "<<min_err<<endl;
histograms *histogram= new histograms[histSize];
for (i = 0; i<unik.size(); i++)
{
histogram[i].error = unik[i];
histogram[i].count = 0;
}
//Create histogram
for (i = 0; i<nr; i++)
{
for (j = 0; j<nc; j++)
{
if( e_hist.at<double>(i,j) == huge_val )
;
else
{
for (k = 0; k<unik.size(); k++)
{
if( e_hist.at<double>(i,j) == histogram[k].error )
histogram[k].count = histogram[k].count + 1;
}
}
}
}
for(i=0;i<nr; i++)
{
for(j=0;j<nc;j++)
lm_rm.error_histogram.at<double>(i,j)=e_hist.at<double>(i,j);
}
//Display Histogram
//cout<<"Histogram:"<<endl;
//for(i=0;i<unik.size();i++)
//{
// cout<<histogram[i].error <<" "<< histogram[i].count<<endl;
//} //OK
//Compute LM RM
int max_count = -1;
for (i = 0; i<unik.size(); i++)
{
//X(i) = histogram(1,i).error; % For Plot
// Y(i) = histogram(1,i).count; % For Plot
if( histogram[i].count > max_count )
{
max_count = histogram[i].count;
lm_rm.LM = histogram[i].error;
}
}
int second_max_count = -1;
for (i = 0; i<unik.size(); i++)
{
if( histogram[i].count == max_count )
;
else
{
if( histogram[i].count > second_max_count )
{
second_max_count = histogram[i].count;
lm_rm.RM = histogram[i].error;
}
}
}
//cout<<"LM: "<<lm_rm.LM<< "RM: "<<lm_rm.RM<<endl; //LM=0, RM=-2
/*
//Calculate LE and RE
histograms *LE= new histograms[unik.size()] ;
histograms *RE= new histograms[unik.size()];
int posLE = 0;
int posRE = 0;
for (i = 0; i<unik.size(); i++)
{
if( histogram[i].error <= lm_rm.LM )
{
posLE = posLE + 1;
LE[posLE].error = histogram[i].error;
LE[posLE].count = histogram[i].count;
}
if( histogram[i].error >= lm_rm.RM )
{
posRE = posRE + 1;
RE[posRE].error = histogram[i].error;
RE[posRE].count = histogram[i].count;
}
}
//Compute LN RN
int mincount_LE = LE[1].count;
LN = LE[1].error;
for (j = 0; j<posLE; j++)
{
if( LE[j].count < mincount_LE )
{
mincount_LE = LE[j].count;
LN = LE[j].error;
}
}
int mincount_RE = RE[1].count;
RN = RE[1].error;
for (j = 0; j<posRE; j++)
{
if( RE[j].count < mincount_RE )
{
mincount_RE = RE[j].count;
RN = RE[j].error;
}
} */
//cout<<"LN: "<<LN<<"RN: "<<RN<<endl;
//for"(i=0;i<unik.size();i++)
//{ cout<<"LE error: "<<LE[i].error<<" LE count: "<<LE[i].count<<endl;
//cout<<"RE error: "<<RE[i].error<<" RE count: "<<RE[i].count<<endl;
//}
//cout<<lm_rm.error_histogram;
return lm_rm; //started comment
}
vector<int> EightBits(int I)
{
vector<int> bitstring(8); int i=0;
//[bitstring] = EightBits(I) converts integer I into its 8-bit binary
//encoding, bitstring.
//Example, EightBits(2) returns bitstring = 00000010
//Input: I: an integer
//Output: bitstring: a 1X8 array of 0s and 1s
//binary encoding of I consisting of 8 or lesser number of bits
//bin = dec2bin(I8);
if(I<0)
I=-I;
int bin[8];
while(I>0)
{
bin[i]=I%2;
I=I/2;
i++; //will signify no. of bits occupied
}
int j;
//If number of bits < 8, shift each bit right so that the rightmost bit occupies the 8th position.
//Shift each bit of bin right by (8 - nc) positions
for (j = 0; j<i; j++)
bitstring[ 7-j] = bin[j];
//Fill in the remaining (8 - nc) left bits by zeros.
for (j = 1; j<(8 - i); j++)
bitstring[j] = 0;
return bitstring;
}
Mat_overhead EmbedWatermarkInterpolation(Mat p, vector<int> &watermark_original)
{
int i, j;
int nr= p.size().height;
int nc= p.size().width;
LM_RM lm_rm;
errors err;
vector<int> watermark; //to be embedded
//int64 t= getTickCount();
err = Interpolated(p);
//cout<<"Time taken: "<< ( ((double)(getTickCount())-t)/ getTickFrequency() );
//long long int sume=0, sumx=0;
//for(i=0;i<nr;i++)
//{
// for(j=0;j<nc; j++)
// { sume+=err.e.at<double>(i,j);
// sumx+=err.x.at<double>(i,j);
// }
//}
//cout<<"Checking during embedding"<<endl;
//cout<<"Sum error matrix: "<<sume<<endl<<"Sum interpolated matrix: "<<sumx<<endl;
cout<<"WM_HI";
lm_rm=createHistogram(err.e);
Mat e_new= Mat_<double>(nr,nc);
for( i =0 ; i < nr; i++)
{
for( j=0; j < nc; j++)
e_new.at<double>(i,j)=err.e.at<double>(i,j);
}
//Create bitstream to be embedded-------------------------------------------
//Location Map for overflow or underflow.
int len_locmap = 0; //Total no. of pixels with values 0, 255, 1, 254.
for (i = 0; i<nr; i++)
{
for (j = 0; j<nc; j++)
{
//Only 254 or 1 can change to 255 and 0 respectively
// So we take max length (for 0,255,1,254)
// actual loc map consists of those pixel positions which are either
// 0, 255 or have changed to 0, 255.
// So actual length may be smaller than len_locmap.
if( (p.at<double>(i,j) == 0 ) || ( p.at<double>(i,j) == 255 ) || ( p.at<double>(i,j) == 1 ) || ( p.at<double>(i,j) == 254 ) )
len_locmap = len_locmap + 1;
}
}
//cout<<"LENLOCMAP: "<<len_locmap<<endl;
Mat_overhead ob1;
ob1.watermarked_image= Mat_<double>(nr,nc);
//watermarked_image = zeros(nr,nc);
for( i =0 ; i < nr; i++)
{
for( j=0; j < nc; j++)
ob1.watermarked_image.at<double>(i,j)=p.at<double>(i,j);
}
int poswm = 0; // To keep track of bits to be embedded
int cnt = 0; // To find Maximum Embedding capacity
vector<int> locmap; // To prevent overflow/underflow
//cout<< "LM ANND RM: "<<lm_rm.LM<<" "<<lm_rm.RM<<endl;
// Get Maximum Capacity----------
// cout<<"RM: "<<lm_rm.RM;
for( i=0; i<nr; i++)
{
for (j = 0; j<nc; j++)
{
if( ( p.at<double>(i,j) == 0 ) || ( p.at<double>(i,j) == 255 ) ) ;
else
{
if( err.e.at<double>(i,j) == huge_val ) ;
else if( err.e.at<double>(i,j) <= (double)lm_rm.LM )
{
if( err.e.at<double>(i,j) == (double)lm_rm.LM )
cnt = cnt + 1;
}
else if( err.e.at<double>(i,j) >= (double)lm_rm.RM )
{
if( err.e.at<double>(i,j) == (double)lm_rm.RM )
cnt = cnt + 1;
}
}
}
}
//cout<< " Wtaermark size: "<<watermark_original.size()<<endl;;
//cout<<" Length of location map: "<<len_locmap<<endl;
//cout<<"Count: "<<cnt<<endl;
//for(i=0;i<watermark_original.size();i++)
//cout<<watermark[i];
if( watermark_original.size() > ( cnt - 18 - len_locmap ) ) //original watermrk
{
for( i=0; i < ( cnt - 18 - len_locmap ) ; i++)
{
watermark.push_back(watermark_original[i]);
//cout<<watermark[i];
}
}
ob1.len_wm = watermark.size();
//cout<<"Watermark size: "<<ob1.len_wm;
//cout<<"Maximum embedding capacity: "<<cnt - 18 - len_locmap <<endl<<endl;
//Store just 18 bits for 2 signed integers along with 'len_locmap' bits for overflow/underflow.
int k = 1; double v;
for (i = 0; i<nr; i++)
{
for (j = 0; j<nc; j++)
{
if( (i == 0) || (j == 0) || (i == 7) || (j == 7) )
{
if( (i%2==0) && (j%2==1) )
{
if( k <= ( 18 + len_locmap ) )
{
if (p.at<double>(i,j)<0)
v=-p.at<double>(i,j);
else
v=p.at<double>(i,j);
watermark.push_back( ( (int) (v ) ) %2 ); //LSB= (int)(p.at<double>(i,j))%2
k = k + 1;
}
}
else if( (i%2==1) && (j%2==0) )
{
if( k <= ( 18 + len_locmap ) )
{
if (p.at<double>(i,j)<0)
v=-p.at<double>(i,j);
else
v=p.at<double>(i,j);
watermark.push_back( ( (int) (v ) )%2 );
k = k + 1;
}
}
}
}
}
//cout<<" k: "<<k<<endl;
// Embed--------------------------------------------------------------------
int ncwm = watermark.size(); int b, sign_e;
for (i = 0;i<nr; i++)
{
for (j = 0; j<nc; j++)
{
if( ( p.at<double>(i,j) == 0 ) || ( p.at<double>(i,j) == 255 ) )
locmap.push_back(0);
else
{
if( lm_rm.error_histogram.at<double>(i,j) == huge_val ) // Do not Embed (Low resolution or marginal pixels)
ob1.watermarked_image.at<double>(i,j) = p.at<double>(i,j);
else if( lm_rm.error_histogram.at<double>(i,j) <= lm_rm.LM )
{
sign_e = -1; // sign(e) = -1 if e in LE i.e. <= LM
if( lm_rm.error_histogram.at<double>(i,j) == lm_rm.LM ) // Embed next bit
{
//cnt = cnt + 1;
if( poswm < ncwm ) // More bits to embed
{
poswm = poswm + 1;
b = watermark[poswm-1];
}
else
b = 0; // No more bits => e will be same
e_new.at<double>(i,j) = lm_rm.error_histogram.at<double>(i,j) + sign_e * b;
}
else if( lm_rm.error_histogram.at<double>(i,j) < lm_rm.LM ) // Embed 1
e_new.at<double>(i,j) = lm_rm.error_histogram.at<double>(i,j) + sign_e * 1;
ob1.watermarked_image.at<double>(i,j) = err.x.at<double>(i,j) - e_new.at<double>(i,j);
// update locmap
if( ( ob1.watermarked_image.at<double>(i,j) == 0 ) || ( ob1.watermarked_image.at<double>(i,j) == 255 ) )
locmap.push_back( 1 );
}
else if( lm_rm.error_histogram.at<double>(i,j) >= lm_rm.RM )
{
sign_e = 1; // sign(e) = 1 if e in RE i.e. <= RM
if( lm_rm.error_histogram.at<double>(i,j) == lm_rm.RM ) // Embed next bit
{
//cnt = cnt + 1;
if( poswm < ncwm ) // More bits to embed
{
poswm = poswm + 1;
b = watermark[poswm-1];
}
else
b = 0; // No more bits => e will be same
e_new.at<double>(i,j) =lm_rm.error_histogram.at<double>(i,j) + sign_e * b;
}
else if( lm_rm.error_histogram.at<double>(i,j) > lm_rm.RM ) // Embed 1
e_new.at<double>(i,j) = lm_rm.error_histogram.at<double>(i,j) + sign_e * 1;
ob1.watermarked_image.at<double>(i,j) = err.x.at<double>(i,j) - e_new.at<double>(i,j);
//update locmap
if( ( ob1.watermarked_image.at<double>(i,j) == 0 ) || ( ob1.watermarked_image.at<double>(i,j) == 255 ) )
locmap.push_back(1);
}
}
}
}
//cout<<lm_rm.error_histogram;
//cout<< "LOCMAP length: "<<locmap.size();
///for(i=0;i<locmap.size();i++)
// cout<<locmap[i];
//cout<<endl;
//cout<<" LM"<<lm_rm.LM<<" RM "<<lm_rm.RM; //LM=0, RM=1
// GET binary representations of LM and RM----------------
vector<int> temp = EightBits(lm_rm.LM);
vector<int> LM_bin(9);
for(i=0 ; i<9; i++)
LM_bin[i]=0;
if( lm_rm.LM < 0 )
LM_bin[0] = 1;
else
LM_bin[0] = 0;
for (i = 0; i<8; i++)
{
if( temp[i] == 0 )
LM_bin[i+1] = 0;
else if( temp[i] == 1 )
LM_bin[i+1] = 1;
}
temp = EightBits(lm_rm.RM);
vector<int>RM_bin(9);
for(i=0 ; i<9; i++)
RM_bin[i]=0;
if( lm_rm.RM < 0 )
RM_bin[0] = 1;
else
RM_bin[0] = 0;
for (i = 0; i<8; i++)
{
if( temp[i] == 0 )
RM_bin[i+1] = 0;
else if( temp[i] == 1 )
RM_bin[i+1] = 1;
}
// cout<< "RM BIN: ";
//for(i=0;i<9;i++)
// cout<<RM_bin[i]<< lm_rm.RM;
// Concatenate binary reps of LM and RM and locmap
vector<int> b_vect;
// cout<< "LM PART: ";
for(i=0; i<9;i++)
{
b_vect.push_back(LM_bin[i]);
// cout<<b_vect[i];
}
//cout<<endl;
//cout<< "RM PART: ";
for(i=0; i<9;i++)
{
b_vect.push_back(RM_bin[i]);
//cout<<b_vect[i];
}
//cout<<endl;
//b_vect.push_back(LM_bin);
for(i=0; i<locmap.size();i++)
b_vect.push_back(locmap[i]);
ob1.overhead = b_vect;
//cout<<"Overhead:"<<endl;
//for(i=0;i<ob1.overhead.size();i++)
// cout<<ob1.overhead[i];
//cout<<endl;
//cout<<endl<<"Original overhead size: "<<ob1.overhead.size()<<endl;
//long long int aaa=0;
//for(i=0;i<nr;i++)
//{
// for(j=0;j<nc;j++)
// aaa+=ob1.watermarked_image.at<double>(i,j);
//}
//cout<<endl<<" Embed watermarked imaage sum original (YCoCg): "<<aaa<<endl;
return ob1;
}
int bi2de(vector<int> bin)
{
int i=7, dec = 0, rem, num, base = 1;
while (i>=0)
{
dec = dec + bin[i] * base;
//cout<<dec<<endl;
base = base * 2;
i--;
}
return dec;
}
Mat YCoCg2RGB( Mat watermarked_image_ee)
{
int nr= watermarked_image_ee.size().height;
int nc= watermarked_image_ee.size().width;
watermarked_image_ee.convertTo(watermarked_image_ee, CV_64FC3);
// Split into Y, Co, Cg
Mat Y = Mat_<double>(nr, nc);
Mat Co = Mat_<double>(nr, nc);
Mat Cg = Mat_<double>(nr, nc);
Mat rgb_image;
Mat YCoCg[3];
split(watermarked_image_ee, YCoCg);
Y= YCoCg[0];
Co = YCoCg[1];
Cg= YCoCg[2];
Mat R = Mat_<double>(nr, nc);
Mat G = Mat_<double>(nr, nc);
Mat B = Mat_<double>(nr, nc);
Mat t = Mat_<double>(nr, nc);
int i, j;
for(i=0;i<nr;i++)
{
for (j=0;j<nc; j++)
{ t.at<double>(i,j) = (double)(Y.at<double>(i,j)) - (double)(floor)(0.5*Cg.at<double>(i,j));
G.at<double>(i,j) = (double)(Cg.at<double>(i,j)) + (double)(t.at<double>(i,j));
B.at<double>(i,j) = (double)(t.at<double>(i,j)) - (double)(floor)(0.5*Co.at<double>(i,j));
R.at<double>(i,j) = (double)(B.at<double>(i,j)) + (double)(Co.at<double>(i,j));
}
}
Mat YCoCg_new[3];
YCoCg_new[0] = B;
YCoCg_new[1] = G;
YCoCg_new[2] = R;
//cout<<YCoCg_new[0];
merge( YCoCg_new,3, rgb_image);
return rgb_image;
}
Mat RGB2YCoCg( Mat images)
{
int nr= images.size().height;
int nc= images.size().width;
images.convertTo(images, CV_64FC3);
//Split into R, G, B
Mat b=Mat_<double>(nr, nc);
Mat g=Mat_<double>(nr, nc);
Mat r=Mat_<double>(nr, nc);
Mat arr[3];
split(images, arr); //GIVES Lesser time and better result
b= arr[0];
g= arr[1];
r= arr[2];
Mat Co= Mat_<double>(nr, nc);
Mat t= Mat_<double>(nr, nc);
Mat Cg= Mat_<double>(nr, nc);
Mat Y= Mat_<double>(nr, nc);
int i,j;
for(i=0;i<nr;i++)
{
for (j=0;j<nc; j++)
{
Co.at<double>(i,j) = (double)(r.at<double>(i,j)) - (double)(b.at<double>(i,j));
t.at<double>(i,j) = (double)(b.at<double>(i,j)) + (double)(floor)(0.5*Co.at<double>(i,j));
Cg.at<double>(i,j) = (double)(g.at<double>(i,j)) - (double)(t.at<double>(i,j));
Y.at<double>(i,j) = (double)(t.at<double>(i,j)) + (double)(floor)(0.5*Cg.at<double>(i,j));
}
}
Mat arr_new[3];
arr_new[0]=Y;
arr_new[1]=Co;
arr_new[2]=Cg;
Mat colors;
merge( arr_new,3, colors);
//long long int sum1;
//for(i=0;i<nr;i++)
//{
// for (j=0;j<nc; j++)
// { sum1+=colors.at<Vec3d>(i,j)[0];
// }
// }
// cout<<" Sum for Y channel after extract: "<<sum1<<endl;
return colors;
}
Mat extractWatermarkInterpolation( Mat watermarked_image_e, int l, vector<int> overheads, vector<int> wmm)
{
int nr= watermarked_image_e.size().height;
int nc= watermarked_image_e.size().width;
int i, j;
errors errs;
//cout<<watermarked_image; //Some values around 1000
/*
long long sums1=0;
for( i=0; i<nr; i++)
{
for(j=0;j<nc;j++)
sums1+=watermarked_image_e.at<double>(i,j);
}
cout<<endl<<"In extract function, embedded Watermarked image sum: "<<sums1<<endl;
*/
errs= Interpolated(watermarked_image_e);
Mat e_new = Mat_<double>(nr,nc);
Mat xxx = Mat_<double>(nr,nc);
Mat eee = Mat_<double>(nr,nc);
for(i=0; i<nr; i++)
{
for(j=0; j<nc; j++)
{
e_new.at<double>(i,j) = errs.e.at<double>(i,j);
eee.at<double>(i,j) = errs.e.at<double>(i,j);
xxx.at<double>(i,j) = errs.x.at<double>(i,j);
}
}
vector<int> watermark;
Mat p=Mat_<double>(nr, nc);
for(i=0;i<nr;i++)
{
for(j=0;j<nc;j++)
p.at<double>(i,j) = watermarked_image_e.at<double>(i, j) ;
}