information theory is awash in theories and frameworks dictating the precise amount of information conveyed by any given message. however, the ability of the message recipient is often presupposed and a deeply implicit assumption in many of these frameworks.
here i explore the loss of information that may occur when such an implicit assumption is made explicit and called into question
background composed of many layers of low alpha polygons (each distorted in polar coordinate space) and colored by a jittered color gradient
foreground composed of arrays of bits (arranged as columns) set to a binary value based on a pareto distribution and subsequently grouped into lines
each of these images are generated from a noise based flow fields variably perturbed and increasingly constrained
these images resulted from an exploration of perlin noise after getting bored with the somewhat predictable patterns.
the baseline algorithm is the same, with only the parameters for noise generating changing. particles are started randomly and have some added behaviors (such as splitting/rejoining and deviating from course) to add depth and dynamism