/**EDARE blurr() method , variation on Daniel Shiffmans blur code
 *takes as argument x and y of image, name of image, width and height you would like it to be
 *
 */

PImage a, img2;
//you dont have to worry about anything but caling the method
//called blurr()
//supplying these arguments:
//x and y of image, name of image, width and height of image as you would like it drawn

void setup(){
  size(500, 500); 
  background(255);

  a = loadImage("trees.jpg"); // Load the images into the program 
  img2 = loadImage("face.jpg"); 

}
void draw(){
  // Load the pixels for each image:

  img2.loadPixels();
  a.loadPixels();

  image(a, 10, 10, 80, 80); //smallest image

  image(img2, 100, 100, 120, 120); //second image


  image(a,250, 250, 200, 200); //biggest image


  image(img2, 10, 370, 120, 120); //bottom left this will never be affected

  int aa = millis()/1000;  //our simple but efective timer


  //do some conditional blurs:
  if((aa > 5) &&( aa<12)) { //after 5 seconds do this, stop at 12 seconds

    //call blurr() method x and y of image, name of image, width and height:
    blurr(10, 10, a, 80, 80); //blur smallest
  }

  if((aa > 12) &&( aa<26)) { //after 12 seconds do this, stop at 25 seconds

    //call blurr() method x and y of image, name of image, width and height:
    blurr(100, 100, img2, 120, 120); //blur middle image
  }

  if((aa > 27) &&( aa<37)) {
    //call blurr() method x and y of image, name of image, width and height:
    blurr(250, 250, a, 200, 200); //blur biggest


  }

}

///////////////////SUPER IMPRTOVED BLURR METHOD TAKES WHATEVER IMAGE WE NAME AND
//BLURS IT, adapt the convolution kernel for other fab effects!

//x and y of image, name of image, width and height:
void blurr(int xp, int yp, PImage img, int size1, int size2){

  float v = 1.0/9.0;
  float[][] kernel = { 
    { 
      v, v, v                     }
    ,
    { 
      v, v, v                     }
    ,
    { 
      v, v, v                     } 
  };

  PImage edgeImg = createImage(img.width, img.height, RGB);
  // Loop through every pixel in the image.
  for (int y = 1; y < img.height-1; y++) { // Skip top and bottom edges
    for (int x = 1; x < img.width-1; x++) { // Skip left and right edges
      //here I make it work with colour images:
      float sum = 0; // Kernel sum for this pixel
      float sum2 = 0; // Kernel sum for this pixel
      float sum3 = 0; // Kernel sum for this pixel
      for (int ky = -1; ky <= 1; ky++) {
        for (int kx = -1; kx <= 1; kx++) {
          // Calculate the adjacent pixel for this kernel point
          int pos = (y + ky)*img.width + (x + kx);
          // Image is grayscale, red/green/blue are identical
          float val = red(img.pixels[pos]);
          float val2 = green(img.pixels[pos]);
          float val3 = blue(img.pixels[pos]);
          // Multiply adjacent pixels based on the kernel values
          sum += kernel[ky+1][kx+1] * val;
          sum2 += kernel[ky+1][kx+1] * val2;
          sum3 += kernel[ky+1][kx+1] * val3;
        }
      }
      // For this pixel in the new image, set the gray value
      // based on the sum from the kernel
      edgeImg.pixels[y*img.width + x] = color(sum, sum2, sum3);
    }
  }
  // State that there are changes to edgeImg.pixels[]
  edgeImg.updatePixels();
  image(edgeImg, xp, yp, size1, size2); // Draw the new image
}
///end of blurr() methodddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddddd