🎨 Convert images to 15/16-bit RGB color with dithering

off the charts color quantization 🎨

Create a color palette using median cut with Javascript

nQuantCpp includes top 6 color quantization algorithms for visual c++ producing high quality optimized images.

Go library for color quantization and dithering

🎨 Color palette generator from an image using WebAssesmbly and Rust

Spatial color quantization in Rust

🚀 JavaScript GIF Codec.

[CVPR 2020] "Learning to Structure an Image with Few Colors". Critical structure for network recognition. #explainable-ai

Small image utility featuring an implementation of the median-cut color quantization algorithm and Floyd-Steinberg dithering in C.

Paletti reduces an image into fewer colors to simplify it visually or to create color palettes.

Apply color quantization to images using k-means clustering.

This repo provides projects on deep-learning mainly using Tensorflow 2.0

Fast pairwise nearest neighbor based algorithm with C# console

Color quantization is the process of reducing number of colors used in an image while trying to maintain the visual appearance of the original image.

Color quantization with octrees and dithering

Fast pairwise nearest neighbor based algorithm with javascript

K-means clustering for image color quantization running on GPU

Implementing Artificial Neural Network training process in Python

This project is an attempt at performing color quantization using K-Means clustering. We also add our own touch by trying a different initialization strategy for the cluster centroids and qualitatively compare our results.

A color quantization tool for images based on k-means clustering

nQuantGpp includes top 10 color quantization algorithms for g++ producing high quality optimized images.

Visualizing dominant colors and color quantization with k-means clustering

Utilizing K-means clustering to reduce color complexity while maintaining visual quality by grouping similar pixels into clusters, with each cluster's centroid representing all pixels within.

A high performance Golang module for grabbing the color palette from an image.

Generate the color palette from an image with different methods, using Javascript and react.

Fast pairwise nearest neighbor based algorithm with Java Swing

Color quantization is the process of reducing number of colors used in an image while trying to maintain the visual appearance of the original image. In general, it is a form of cluster analysis, if each RGB color value is considered as a coordinate triple in the 3D colorspace.

Real-time GPU Color Quantization

This demonstrates how to find the dominant colors in an image. Included are Swift and command-line(cpp) samples. The command-line version outputs a PNG file of the palette and a PNG image quantized to the resulting palette. The Swift version uses an Objective-C Category to extend UIImage and Objective-C Bridging Header to expose the extension to Swift. A Camera preview allows the user to take a photo from which dominant colors are found.