SOL9 Sample: VideoImageSharpening

SOL9 2.0 Samples

1 Screenshot


2 Source code

/*
 * VideoImageSharpening.cpp 
 * Copyright (c) 2015 Antillia.com TOSHIYUKI ARAI. ALL RIGHTS RESERVED. 
 */


//2017/07/25
//This is a simple example to capture video input and display the captured frames
//to an original image view and a sharpened (blurred) image view.

// See: "http://docs.opencv.org/2.4/doc/tutorials/core/adding_images/adding_images.html"
//  Adding (blending) two images using OpenCV

#define _CONSOLE_

#include <sol/ModuleFileName.h>
#include <sol/LabeledTrackBar.h>
#include <sol/FileDialog.h>
#include <sol/opencv/OpenCVVideoApplication.h>

#include <sol/opencv/OpenCVVideoCaptureView.h>
#include <sol/opencv/OpenCVNamedWindow.h>

namespace SOL {

class MainView :public OpenCVVideoCaptureView {

private:
  ////////////////////////////////////////////////////////////////////////////////////////
  //Inner class starts.
  class OriginalImageView :public OpenCVNamedWindow {
  private:
    cv::Mat originalImage;
    
  public:
    void display()
    {
      show(originalImage);
    }
    
  public:
    OriginalImageView(View* parent, const char* name, Args& args)
    :OpenCVNamedWindow(parent, name, args)
    {
    }
    
    void setImage(cv::Mat image)
    {
      originalImage = image;
    }
  };
  
  class BlurredImageView :public OpenCVNamedWindow {
  private:
    cv::Mat originalImage;
    cv::Mat blurredImage;
  public:
    void display()
    {
      show(blurredImage);
    }
    
  public:
    BlurredImageView(View* parent, const char* name, Args& args)
    :OpenCVNamedWindow(parent, name, args)
    {
    }
    
    ~BlurredImageView()
    {
    }
    
    void setImage(cv::Mat& image)
    {
      originalImage = image;
    }
    
    void blur(int ksize, int sigma)
    {
      //void GaussianBlur(const Mat& src, Mat& dst, Size ksize, 
      //       double sigmaX, 
      //       double sigmaY  = 0, 
      //       int borderType = BORDER_DEFAULT)
      cv::Mat newImage = cv::Mat::zeros(originalImage.size(), originalImage.type() );
      cv::GaussianBlur(originalImage, newImage, cv::Size(ksize, ksize), 
            (double)sigma, //sigmaX, 
            (double)sigma, //sigmaY
            BORDER_DEFAULT);
      
      // void addWeighted(InputArray src1, double alpha, InputArray src2, 
      //             double beta, double gamma, OutputArray dst, int dtype=-1)
      double alpha = 2.5;
      double beta  = 1.0 - alpha;
      cv::addWeighted(originalImage, alpha, newImage, beta, 0.0, newImage);
      
      blurredImage = newImage;
      refresh();
    }
  };
  //Inner class ends.
  ////////////////////////////////////////////////////////////////////////////////////////
    
  SmartPtr<OriginalImageView>  originalImage;
  SmartPtr<BlurredImageView> blurredImage;
  int                        ksize;    
  SmartPtr<LabeledTrackBar>  ksizeTrackBar;
  int                        sigma;  
  SmartPtr<LabeledTrackBar>  sigmaTrackBar;


  //Horizontal Scroll event by TrackBars
  void trackBarScrolled(Action& action)
  {
    ksize = ksizeTrackBar->getPosition();
    sigma = sigmaTrackBar->getPosition();

    ksize = (ksize/2)*2 +1;
  }
  
  void resize(int w, int h)
  {
    if (originalImage && blurredImage &&  ksizeTrackBar && sigmaTrackBar) {
      originalImage   -> reshape(2,            2,  (w-160)/2-1,    h-4);
      blurredImage    -> reshape((w-160)/2+1,  2,  (w-160)/2-1,    h-4);
      ksizeTrackBar   -> reshape(w-155 + 10,  40, 140, 60);
      sigmaTrackBar   -> reshape(w-155 + 10, 140, 140, 60);
    }
  }


  void confirm(Action& action)
  {
    int rc = MessageBox(NULL, "Are you sure to close this window?", "Confirmation", 
                MB_OKCANCEL|MB_ICONEXCLAMATION);
    if (rc == IDOK) {
      exit(action);
    }
  }
  
public:
  MainView(OpenCVVideoApplication& applet, const char* name, Args& args)
  :OpenCVVideoCaptureView(applet, name, args)
  {
    try {
      Args ar;
      originalImage = new OriginalImageView(this, "cvwindow1", ar); 
      
      ar.reset();
      blurredImage = new BlurredImageView(this, "cvwindow2", ar); 

      ksize = 23;
      sigma = 18;
      ar.reset();
      ar.set(XmNminimum, 0);
      ar.set(XmNmaximum, 31);
      ar.set(XmNposition, ksize);
      ksizeTrackBar = new LabeledTrackBar(this, "KernelSize", ar);
      ksizeTrackBar -> addCallback(XmNtrackBarScrollCallback, this,
        (Callback)&MainView::trackBarScrolled, NULL);
      
      ar.reset();
      ar.set(XmNminimum, 0);
      ar.set(XmNmaximum, 30);
      ar.set(XmNposition, sigma);
      ar.set(XmNdisplayOddValue, false);
      sigmaTrackBar = new LabeledTrackBar(this, "SigmaSize", ar);
      sigmaTrackBar -> addCallback(XmNtrackBarScrollCallback, this,
        (Callback)&MainView::trackBarScrolled, NULL);
      
      addCallback(XmNmenuCallback, IDM_EXIT, this,
          (Callback)&MainView::confirm, NULL);

      ksize = (ksize/2)*2 +1;   

    } catch (Exception& ex) {
      caught(ex);
    }
  }

  ~MainView()
  {
  }

  virtual void render()
  {
    cv::Mat frame;
    if (readVideoFrame(frame)) {
      if (!frame.empty() && originalImage && blurredImage) {
        originalImage -> setImage(frame);
        originalImage -> display();
        blurredImage  -> setImage(frame);
        blurredImage  -> blur(ksize, sigma);
        blurredImage  -> display();        
      }
    }    
  }
};
}

//
void main(int argc, char** argv) 
{
  try {
    ModuleFileName module(argv[0]);
    
    const char*  name = module.getAppName();
        
    OpenCVVideoApplication applet(name, argc, argv);

    Args args;
    args.set(XmNwidth,  900);
    args.set(XmNheight, 440);
    args.set(XmNvideoDeviceIndex, 0);
    args.set(XmNcaptureAutoStart, true);

    MainView view(applet, name, args);
    view.realize();

    applet.run(view);
    
  } catch (SOL::Exception& ex) {
    caught(ex);
  }
}


Last modified: 2 Dec. 2017

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