Material methods for recreating pixel information
A series of material explorations recreating by hand computational methods for reading, transmitting and displaying visual information.
This brief entitled “Computational Futures” encouraged us to explore hypothetical situations that challenge existing forms of and relationships between computation and the material world around us. The first part of the project involved material explorations informed by computational structures and procedures.
This part of the Computation and Materiality class resulted in both this project and my User Logic project.
Initial Workshop Experiments
In the initial workshop for this project, we created a visualization of a hypothetical sorting machine or amalgamating machine. Jeremy Eichenbaum and myself designed a Karma Kalculator. The remainder of the experiments involved manually encoding, transmitting and decoding images, and performing procedural group experiments.
Building on the image-transmission experiments from our initial workshop, I explored a variety of procedural methods for recreating and/or transmitting pixel information.
Pixel as Language
My first experiment involved describing a range of gradients to partipants and asking them to supply me with a square of some material which they felt matched the description I’d given them. For example, dark grey, black, almost white, etc.
This gave me a gradient from white to black to create images with:
Pixel as Angle
Taking an enlarged image, I manually converted it to pixel values by deciding how dark/bright each pixel was (from 0 to 5).
I then developed a system of folding square cuts in paper to angles which reflected these numbers.
Pixel as Depth
This brief experiment imagined a material version of a 3d-scanner.
Pixel as Tea
This experiment imagined pixels translated into durations for brewing tea. Each pixel would be brewed for a particular amount of time creating a range of shades from clear to dark brown.
There is something I found really engaging about the procedural nature of making the various experiments that make up this project. Perhaps some of the same enjoyment that I get from writing code, although here I get to step away from the computer and use my hands.
Although just material explorations, I feel that these computational models of physical making may be worth coming back to again in future, particularly as a way of starting material research for a larger project.