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In-depth explorations of algorithmic art, generative techniques, and the intersection of code and creativity.
Use these sections to discover artworks, read technical context, and navigate the full algorithmic art ecosystem.
How do apps like Spotify determine a background color from an album cover? A practical guide to extracting the most meaningful color from any image.
Technical deep-dive into implementing a performant Mandelbrot/Julia set explorer with WebGL and progressive rendering.
When you have only a handful of colors, clever pixel placement can trick the eye into seeing thousands. A deep dive into error-diffusion dithering and the algorithms behind the illusion.
How do you reduce 16.7 million colors to 16 without losing the soul of an image? A deep dive into Median Cut, K-Means, and the color-space geometry that makes it all work.
Where Euclidean RGB distance fails because it ignores human biology, CIELAB succeeds. How the ΔE formula measures color differences in a way that feels human.
A common mistake when calculating RGB distance is ignoring gamma. Why you must linearize RGB values before doing math, and what goes wrong when you don't.
From image processing utility to creative medium — how applying matrices to noise fields unlocked a new visual language.