import processing.core.*; 

import java.applet.*; 
import java.awt.*; 
import java.awt.image.*; 
import java.awt.event.*; 
import java.io.*; 
import java.net.*; 
import java.text.*; 
import java.util.*; 
import java.util.zip.*; 
import java.util.regex.*; 

public class Convolution extends PApplet {

/**
 * Convolution
 * by Daniel Shiffman.  
 * 
 * Applies a convolution matrix to a portion of the index.  
 * Move mouse to apply filter to different parts of the image. 
 */

PImage img;
int w = 80;

// It's possible to convolve the image with 
// many different matrices

  float[][] matrix = { { -1, -1, -1 },
                       { -1,  9, -1 },
                       { -1, -1, -1 } }; 

public void setup() {
  size(200, 200);
  frameRate(30);
  img = loadImage("end.jpg");
}

public void draw() {
  // We're only going to process a portion of the image
  // so let's set the whole image as the background first
  image(img,0,0);
  // Where is the small rectangle we will process
  int xstart = constrain(mouseX-w/2,0,img.width);
  int ystart = constrain(mouseY-w/2,0,img.height);
  int xend = constrain(mouseX+w/2,0,img.width);
  int yend = constrain(mouseY+w/2,0,img.height);
  int matrixsize = 3;
  loadPixels();
  // Begin our loop for every pixel
  for (int x = xstart; x < xend; x++) {
    for (int y = ystart; y < yend; y++ ) {
      int c = convolution(x,y,matrix,matrixsize,img);
      int loc = x + y*img.width;
      pixels[loc] = c;
    }
  }
  updatePixels();
}

public int convolution(int x, int y, float[][] matrix,int matrixsize, PImage img)
{
  float rtotal = 0.0f;
  float gtotal = 0.0f;
  float btotal = 0.0f;
  int offset = matrixsize / 2;
  for (int i = 0; i < matrixsize; i++){
    for (int j= 0; j < matrixsize; j++){
      // What pixel are we testing
      int xloc = x+i-offset;
      int yloc = y+j-offset;
      int loc = xloc + img.width*yloc;
      // Make sure we haven't walked off our image, we could do better here
      loc = constrain(loc,0,img.pixels.length-1);
      // Calculate the convolution
      rtotal += (red(img.pixels[loc]) * matrix[i][j]);
      gtotal += (green(img.pixels[loc]) * matrix[i][j]);
      btotal += (blue(img.pixels[loc]) * matrix[i][j]);
    }
  }
  // Make sure RGB is within range
  rtotal = constrain(rtotal,0,255);
  gtotal = constrain(gtotal,0,255);
  btotal = constrain(btotal,0,255);
  // Return the resulting color
  return color(rtotal,gtotal,btotal);
}


  static public void main(String args[]) {
    PApplet.main(new String[] { "Convolution" });
  }
}