Novel Smoothing Algorithm:Morley Pinturia Naturaleza Muerta Smoothing Algorithm(Cluster Bomb Smoothing)

Cells

In the cellular automata the Morley Algorithm allows for a static "object" to occur in the above formation, however that is not the focus of this post. Instead we will be using the above geometry in order to create a basic smoothing algorithm using PImage in Processing. This post continues the Algorithm outlined in the previous post Statistically Viable Time Based Smoothing and Deconvolution Algorithm

PImage img;
int a, b,r,u;

 This sets up the image variable and the 4 vars we will be using.

void setup() {
  size(500, 500);
  img = loadImage("cat.jpg");
  a = 1;
  b = 1;
  r=img.width;
  u=0;
  imageMode(CENTER);
  noStroke();
  background(0);
}

Loading the image and setting up our variables. a & b are for rect sides or in terms of the above image they are the size of the white pieces.

void draw() { 

  float pixel = map(11, 0, width, a, b); //creating pixel variable
  int x = int((img.width)-r); // sets the x pt equal to image width minus the

                              //size of the r val which paints the image

  int y= int(u);//u as the y val due, tis necessary due to language syntax
  color pix = img.get(x, y);//captures pixel color
  fill(pix, 128);//color,alphamask

  rect(x-1, y, pixel, pixel);
  rect(x+1, y, pixel, pixel);
  rect(x, y-1, pixel, pixel);
  rect(x, y+1, pixel, pixel);//these rect lines create our Cells diagram
  r=r-1;//moves painting along the x axis
  println(r);//outputs current pos
Now there must be an if statement in order to move along the y axis once a row is completed:

if(r==1000){
  r=img.width;
   u=u+1;
}
}
And so the symphony all together:

PImage img;
int a, b,r,u;

void setup() {
  size(500, 500);
  img = loadImage("cat.jpg");
  a = 1;
  b = 1;
  r=img.width;
  u=0;
  imageMode(CENTER);
  noStroke();
  background(0);
}

void draw() { 

  float pixel = map(11, 0, width, a, b);
  int x = int((img.width)-r);
  int y= int(u);
  color pix = img.get(x, y);
  fill(pix, 128);
  rect(x-1, y, pixel, pixel);
  rect(x+1, y, pixel, pixel);
  rect(x, y-1, pixel, pixel);
  rect(x, y+1, pixel, pixel);  
  r=r-1;
  println(r);
  
if(r==1000){
  r=img.width;
   u=u+1;
}
}

The Cat's Ear without smoothing

The Cat's Ear with Cluster Smoothing

A place where the smoothing is perhaps most noticeable is in blue background, notice the falloff occurs quickly on the smoothed image but not nearly as quickly on the non-smoothed image. That is because the novel method ensures blending of the regions which guarantees blending and the elimination of noise in the image.