nQuantCpp includes top 6 color quantization algorithms for visual c++ producing high quality optimized images.
-
Updated
Dec 9, 2025 - 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.
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
Coursework for EE569 (Digital Image Processing) at USC for the Spring 2021 Semester
Dither Go: A fast and the most correct image dithering library
Fast pairwise nearest neighbor based algorithm with android
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 with Pascal Cellular Automata as probabilistic rules
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.
Color manipulation exercise. Digital media 2nd semester, 3rd exercise
My homework submissions for the digital image processing class @ USC
This repository has codes for converting greyscale images to binary images using various methods in such a way that, to the human eye, they still look a lot like images having various intensity levels.
Add a description, image, and links to the error-diffusion topic page so that developers can more easily learn about it.
To associate your repository with the error-diffusion topic, visit your repo's landing page and select "manage topics."