Cloud Flare

Easing Functions

Mathematical functions that control the rate of change over time or space, creating natural-looking acceleration and deceleration in animations, transitions, and gradients.

Image Kernels

Small matrices that define local image transformations, serving as the fundamental building blocks for filters, effects, and feature detection in digital image processing.

Manifold Learning (in Color Space)

A machine learning approach where colors are viewed not as points in a simple cube, but as lying on a complex curved surface (manifold). Distance along the manifold produces more natural color transitions than straight-line distance.

Bit Depth & Color Precision

The number of bits used to represent each channel (or pixel) in a digital image, directly determining how many distinct colors can be encoded. Common depths are 1-bit (2 colors), 8-bit per channel (16.7 million), and 16-bit per channel (trillions).