Floyd–Steinberg dithering
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Updated
Dec 4, 2018 - Processing
Floyd–Steinberg dithering
A simple utility to apply different kinds of image dithering using Processing
Image filtering software which uses special algorithms to manipulate images.
In this project, we are going to implement some common algorithms in image processing field specifically image dithering
This repository contains Python code implementing two popular dithering algorithms, Floyd-Steinberg and Atkinson, using the Numba library for performance optimization. These algorithms are commonly used for reducing the color palette of images while preserving visual quality.
Dithering algorithms used in EzMediaCore written in Go
Experiments with structure-aware, error diffusion dithering algorithms, and other ways to improve beyond Floyd-Steinberg.
Image dithering and interpolation project
Ordered Dithering on the GLSL fragment Shader with colors
CLI Image Processing and Editing Suite
Set of scripts to decompose an image in multiple tiles like Quadtrees, Voronoitrees, etc...
Ray casting is the use of ray–surface intersection tests to solve a variety of problems in 3D computer graphics and computational geometry.
iOS and MacCatalyst framework for dithering images and videos.
PEL (Pygame Effects Library)
Vue 2 examples of black and white dithering for; threshold, Bayer (Ordered index), Floyd Steinberg and Minimized Average Error algorithms.
Floyd-Steinberg and Burkes dithering implementations in Racket
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