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It is a code creating a new kind of image by rearranging the original. This results in an image made anonymous. Or maybe more like a vague memory, where everything is still there but over time you start to forget what it looks like. This creates a new memory, a distorted version of the original. | It is a code creating a new kind of image by rearranging the original. This results in an image made anonymous. Or maybe more like a vague memory, where everything is still there but over time you start to forget what it looks like. This creates a new memory, a distorted version of the original. | ||
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Revision as of 17:16, 2 February 2018
Project (WORK IN PROGRESS)
I ran into a couple of gifs that visualised how certain sorting algorithms worked. Normally I don’t understand algorithms, but these visualisations made it so easy and insightful to understand what is going on. Besides that I think it’s cool to see an algorithm at work like this, I also think it has some artistic value. You could call it Glitch Art.
These are some examples of different codes working on a color palette:
It is a code creating a new kind of image by rearranging the original. This results in an image made anonymous. Or maybe more like a vague memory, where everything is still there but over time you start to forget what it looks like. This creates a new memory, a distorted version of the original.
File:Examplesort1 File:Examplesort2 File:Examplesort3 File:Examplesort4
What is Pixel Sorting?
Pixel Sorting is done with a program called Processing. It takes the pixels in a digital image and places them into a semblance of order. Pixel sorting was made popular by an artist of the name Kim Asendorf. He began sorting by developing a code in Processing.
Experiment
This is a modified version of the code written bij Kim Asendorf. It is written in Processing language, and requires a folder called ‘data’ in the same location as the .pde processing file. I used it to experiment with different images to discover what would happen.
PImage img; PImage sorted; int index = 0; void setup() { size(800, 400); img = loadImage("afbeelding.jpg"); sorted = createImage(img.width, img.height, RGB); sorted = img.get(); } void draw() { println(frameRate); sorted.loadPixels(); // Selection sort! for (int y = 0; y < sorted.height; y++) { float record = -1; int selectedPixel = index; for (int x = index; x < sorted.width; x++) { int loc = y * sorted.width + x; color pix = sorted.pixels[loc]; float b = brightness(pix); if (b > record) { selectedPixel = loc; record = b; } } // Swap selectedPixel with i color temp = sorted.pixels[y * sorted.width + index]; sorted.pixels[y * sorted.width + index] = sorted.pixels[selectedPixel]; sorted.pixels[selectedPixel] = temp; } if (index < sorted.width -1) { index++; } else { save("sorted.jpg"); frameRate(0); } sorted.updatePixels(); background(0); image(img, 0, 0); image(sorted, 400, 0); }
The code results in a pixel sorting visualisation: