color-quantization
There are 67 repositories under color-quantization topic.
dbohdan/hicolor
🎨 Convert images to 15/16-bit RGB color with dithering
mcychan/nQuantCpp
nQuantCpp includes top 6 color quantization algorithms for visual c++ producing high quality optimized images.
zygisS22/color-palette-extraction
Create a color palette using median cut with Javascript
esimov/colorquant
Go library for color quantization and dithering
blenderskool/pigmnts
🎨 Color palette generator from an image using WebAssesmbly and Rust
okaneco/rscolorq
Spatial color quantization in Rust
hou-yz/color_distillation
[CVPR 2020] "Learning to Structure an Image with Few Colors". Critical structure for network recognition. #explainable-ai
tessarin/dither
Small image utility featuring an implementation of the median-cut color quantization algorithm and Floyd-Steinberg dithering in C.
qq15725/modern-gif
🚀 JavaScript GIF Codec.
dstein64/k-means-quantization-js
Apply color quantization to images using k-means clustering.
Eroica/Paletti
Paletti reduces an image into fewer colors to simplify it visually or to create color palettes.
Pavankunchala/Deep-Learning
This repo provides projects on deep-learning mainly using Tensorflow 2.0
mcychan/nQuant.cs
Fast pairwise nearest neighbor based algorithm with C# console
mcychan/PnnQuant.js
Fast pairwise nearest neighbor based algorithm with javascript
olvb/colorcrush
Color quantization with octrees and dithering
safakozdek/Color-Quantization
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.
haroldo-ok/RgbQuant-SMS.js
RgbQuant.js adapted for quantizing images for the Sega Master System hardware
redwarp/kmeans-gpu
K-means clustering for image color quantization running on GPU
JuliaSzymanska/Artificial-Intelligence
Implementing Artificial Neural Network training process in Python
sanjanprakash/Color-based-Image-Segmentation-using-K-Means-clustering
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.
agarun/kume
Visualizing dominant colors and color quantization with k-means clustering
ogus/kmeans-quantizer
A color quantization tool for images based on k-means clustering
zluo01/color-thief
A high performance Golang module for grabbing the color palette from an image.
shuaiey/image-color-palette
Generate the color palette from an image with different methods, using Javascript and react.
csharpseattle/DominantColors
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.
gurkandemir/Color-Quantizer
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.
mcychan/nQuantGpp
nQuantGpp includes top 10 color quantization algorithms for g++ producing high quality optimized images.
mcychan/nQuant.android
Fast pairwise nearest neighbor based algorithm with android
nicoladileo/INCKmeans
Incremental KMeans for Color Quantization
nikola/MMCQ
Javascript module for color quantization, based on Leptonica.
adityaguptai/Color-Quantization-using-K-Means
Color Quantization using K-Means(Machine learning)
hack3ric/pixelate
Pixelates image the old-fashioned way.
longod/pixelism
Real-time GPU Color Quantization
muratcanakcay/Computer-Graphics
My work in C#/WPF for the 6th Semester "Computer Graphics" class in the Computer Science B.S. program at Politechnika Warszawa. Image Processing, Rasterization & 3D-Modeling
Roodaki/Kmeans-Color-Quantization
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.
kaydotdev/sqic
Lossy Image Compression with Stochastic Quantization