// Video Image PSNR and SSIM
#include <iostream>	// for standard I/O
#include <string>   // for strings
#include <iomanip>  // for controlling float print precision
#include <sstream>  // string to number conversion

#include <opencv2/imgproc/imgproc.hpp>  // Gaussian Blur
#include <opencv2/core/core.hpp>        // Basic OpenCV structures (cv::Mat, Scalar)
#include <opencv2/highgui/highgui.hpp>  // OpenCV window I/O

using namespace std;
using namespace cv;

double getPSNR ( const Mat& I1, const Mat& I2);
Scalar getMSSIM( const Mat& I1, const Mat& I2);

static void help()
{
    cout
        << "\n--------------------------------------------------------------------------" << endl
        << "This program shows how to read a video file with OpenCV. In addition, it tests the"
        << " similarity of two input videos first with PSNR, and for the frames below a PSNR "  << endl
        << "trigger value, also with MSSIM."<< endl
        << "Usage:"                                                                       << endl
        << "./video-source referenceVideo useCaseTestVideo PSNR_Trigger_Value Wait_Between_Frames " << endl
        << "--------------------------------------------------------------------------"   << endl
        << endl;
}
int main(int argc, char *argv[])
{
    help();
    if (argc != 5)
    {
        cout << "Not enough parameters" << endl;
        return -1;
    }
    stringstream conv;

    const string sourceReference = argv[1],sourceCompareWith = argv[2];
    int psnrTriggerValue, delay;
    conv << argv[3] << argv[4];		  // put in the strings
    conv >> psnrTriggerValue >> delay;// take out the numbers

    char c;
    int frameNum = -1;			// Frame counter

    VideoCapture captRefrnc(sourceReference),
                 captUndTst(sourceCompareWith);

    if ( !captRefrnc.isOpened())
    {
        cout  << "Could not open reference " << sourceReference << endl;
        return -1;
    }

    if( !captUndTst.isOpened())
    {
        cout  << "Could not open case test " << sourceCompareWith << endl;
        return -1;
    }

    Size refS = Size((int) captRefrnc.get(CV_CAP_PROP_FRAME_WIDTH),
                     (int) captRefrnc.get(CV_CAP_PROP_FRAME_HEIGHT)),
         uTSi = Size((int) captUndTst.get(CV_CAP_PROP_FRAME_WIDTH),
                     (int) captUndTst.get(CV_CAP_PROP_FRAME_HEIGHT));

    if (refS != uTSi)
    {
        cout << "Inputs have different size!!! Closing." << endl;
        return -1;
    }

    const char* WIN_UT = "Under Test";
    const char* WIN_RF = "Reference";

    // Windows
            namedWindow(WIN_RF, CV_WINDOW_AUTOSIZE );
            namedWindow(WIN_UT, CV_WINDOW_AUTOSIZE );
            cvMoveWindow(WIN_RF, 400       ,            0);		 //750,  2 (bernat =0)
            cvMoveWindow(WIN_UT, refS.width,            0);		 //1500, 2

    cout << "Frame resolution: Width=" << refS.width << "  Height=" << refS.height
         << " of nr#: " << captRefrnc.get(CV_CAP_PROP_FRAME_COUNT) << endl;

    cout << "PSNR trigger value " <<
          setiosflags(ios::fixed) << setprecision(3) << psnrTriggerValue << endl;

    Mat frameReference, frameUnderTest;
    double psnrV;
    Scalar mssimV;

    for(;;) //Show the image captured in the window and repeat
    {
        captRefrnc >> frameReference;
        captUndTst >> frameUnderTest;

        if( frameReference.empty()  || frameUnderTest.empty())
        {
            cout << " < < <  Game over!  > > > ";
            break;
        }

        ++frameNum;
        cout <<"Frame:" << frameNum;

        ///////////////////////////////// PSNR ////////////////////////////////////////////////////
        psnrV = getPSNR(frameReference,frameUnderTest);					//get PSNR
        cout << setiosflags(ios::fixed) << setprecision(3) << psnrV << "dB";

        //////////////////////////////////// MSSIM /////////////////////////////////////////////////
        if (psnrV < psnrTriggerValue)
        {
            mssimV = getMSSIM(frameReference,frameUnderTest);

            cout << " MSSIM: "
                 << "R" << setiosflags(ios::fixed) << setprecision(3) << mssimV.val[2] * 100
                 << "G" << setiosflags(ios::fixed) << setprecision(3) << mssimV.val[1] * 100
                 << "B" << setiosflags(ios::fixed) << setprecision(3) << mssimV.val[0] * 100;
        }

       cout << endl;

        ////////////////////////////////// Show Image /////////////////////////////////////////////
        imshow( WIN_RF, frameReference);
        imshow( WIN_UT, frameUnderTest);

        c = (char)cvWaitKey(delay);
        if (c == 27) break;
    }

    return 0;
}

double getPSNR(const Mat& I1, const Mat& I2)
{
    Mat s1;
    absdiff(I1, I2, s1);       // |I1 - I2|
    s1.convertTo(s1, CV_32F);  // cannot make a square on 8 bits
    s1 = s1.mul(s1);           // |I1 - I2|^2

    Scalar s = sum(s1);         // sum elements per channel

    double sse = s.val[0] + s.val[1] + s.val[2]; // sum channels

    if( sse <= 1e-10) // for small values return zero
        return 0;
    else
    {
        double  mse =sse /(double)(I1.channels() * I1.total());
        double psnr = 10.0*log10((255*255)/mse);
        return psnr;
    }
}

Scalar getMSSIM( const Mat& i1, const Mat& i2)
{
    const double C1 = 6.5025, C2 = 58.5225;
    /***************************** INITS **********************************/
    int d     = CV_32F;

    Mat I1, I2;
    i1.convertTo(I1, d);           // cannot calculate on one byte large values
    i2.convertTo(I2, d);

    Mat I2_2   = I2.mul(I2);        // I2^2
    Mat I1_2   = I1.mul(I1);        // I1^2
    Mat I1_I2  = I1.mul(I2);        // I1 * I2

    /*************************** END INITS **********************************/

    Mat mu1, mu2;   // PRELIMINARY COMPUTING
    GaussianBlur(I1, mu1, Size(11, 11), 1.5);
    GaussianBlur(I2, mu2, Size(11, 11), 1.5);

    Mat mu1_2   =   mu1.mul(mu1);
    Mat mu2_2   =   mu2.mul(mu2);
    Mat mu1_mu2 =   mu1.mul(mu2);

    Mat sigma1_2, sigma2_2, sigma12;

    GaussianBlur(I1_2, sigma1_2, Size(11, 11), 1.5);
    sigma1_2 -= mu1_2;

    GaussianBlur(I2_2, sigma2_2, Size(11, 11), 1.5);
    sigma2_2 -= mu2_2;

    GaussianBlur(I1_I2, sigma12, Size(11, 11), 1.5);
    sigma12 -= mu1_mu2;

    ///////////////////////////////// FORMULA ////////////////////////////////
    Mat t1, t2, t3;

    t1 = 2 * mu1_mu2 + C1;
    t2 = 2 * sigma12 + C2;
    t3 = t1.mul(t2);              // t3 = ((2*mu1_mu2 + C1).*(2*sigma12 + C2))

    t1 = mu1_2 + mu2_2 + C1;
    t2 = sigma1_2 + sigma2_2 + C2;
    t1 = t1.mul(t2);               // t1 =((mu1_2 + mu2_2 + C1).*(sigma1_2 + sigma2_2 + C2))

    Mat ssim_map;
    divide(t3, t1, ssim_map);      // ssim_map =  t3./t1;

    Scalar mssim = mean( ssim_map ); // mssim = average of ssim map
    return mssim;
}