nQuantCpp includes top 6 color quantization algorithms for visual c++ producing high quality optimized images.
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Updated
Oct 15, 2026 - C++
nQuantCpp includes top 6 color quantization algorithms for visual c++ producing high quality optimized images.
Experiments with structure-aware, error diffusion dithering algorithms, and other ways to improve beyond Floyd-Steinberg.
DitherMe creates Watch Dogs 2 DedSec-style dithered images and GIFs, replicating the iconic glitchy hacker aesthetic
Fast pairwise nearest neighbor based algorithm with C# console
Fast pairwise nearest neighbor based algorithm with javascript
nQuantGpp includes top 10 color quantization algorithms for g++ producing high quality optimized images.
Fast pairwise nearest neighbor based algorithm with Java Swing
Dither Go: A fast and the most correct image dithering library for Python
Dither images and video with 24 algorithms, 11 palettes and a stackable effects pipeline. Browser app, desktop builds and a TypeScript library.
Fast pairwise nearest neighbor based algorithm with android
Coursework for EE569 (Digital Image Processing) at USC for the Spring 2021 Semester
Agent skill (SKILL.md) that maximizes document quality and readability over fax — converts a PDF to a 1-bit CCITT-G4 PDF/TIFF that arrives LEGIBLE after Group-3 transmission, with 17 halftone methods and a multi-up comparison preview. For Claude and OpenAI Codex.
Pixelates image the old-fashioned way.
Generate halftone stego images and extract payloads from them.
Android app for pick and crop an image and apply - FloydSteinberg - Error Diffusion algorithm
Dithering for E Ink Spectra 6 panels that models dot gain, compared side by side with the paperlesspaper app's dithering.
Dithering with Pascal Cellular Automata as probabilistic rules
Palette-structure-aware error diffusion dithering in Oklab: dither against a small, designer-chosen palette and keep the error where the eye cannot see it.
My homework submissions for the digital image processing class @ USC
Conversão de imagens para tons binários preservando a percepção visual através de difusão de erro. Inclui exemplos em RGB e grayscale com Pillow, NumPy e Matplotlib.
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