Fast and high quality image quantization and palette generation in the sRGB, Oklab, or CIELAB color spaces.

Optimization Problems Toolbox

Bio-Inspired Fossil Image Segmentation for Paleontology

Implementations of Machine Learning algorithms in Python

Image Segmentation and Quantization by Neural Gas Network (NGN)

TypeScript implementation of Android 12 Material You dynamic theme engine (named Monet).

🖼️ Imaging (artmaster88, bmp, nonlzw-gif, icon ImageIO SPIs, resizing filters, quantizeing filters)

Firefly Algorithm Image Color Quantization Using Clustering

KS Image Suite combines various graphical modules into a single project. Including finding similar images, agressive image compression and modules related to scanning images.

PyTorch implementation of 'SDEdit' (Meng et al., 2021) from scratch and applying it to 'DDPM' on CelebA at 64 × 64

Cultural-Algorithm-Image-Quantization

This demonstrates the concepts of image quantization and dithering.

Reduce Colors in any Image using KMeans Clustering

Image quantization is a lossy compression technique achieved by compressing a range of values to a single quantum value.

Several problems covering fundamental concepts of Image Processing with MATLAB

Reduce color information from 24-bit to 8-bit, using K-Means++ clustering algorithm

The idea of Image Quantization is to reduce the number of colors in a full resolution digital color image (24 bits per pixel) to a smaller set of representative colors called color palette using graph.

Coding solutions to multiple computer vision problems like image color quantization, object detection, and image segmentation.

3 distinct machine learning task

Versatile Fiji-imagej macro for 2D quantification of each marker inside your immunofluorescence staining in less of 1 minute per image. Control critical steps for segmentation.