Image quantization is a lossy compression technique achieved by compressing a range of values to a single quantum value.
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Updated
May 21, 2022 - C#
Image quantization is a lossy compression technique achieved by compressing a range of values to a single quantum value.
Fast and high quality image quantization and palette generation in the sRGB, Oklab, or CIELAB color spaces.
Firefly Algorithm Image Color Quantization Using Clustering
Several problems covering fundamental concepts of Image Processing with MATLAB
Image processing projects I completed recently
Image Segmentation and Quantization by Neural Gas Network (NGN)
Implementations of Machine Learning algorithms in Python
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.
TypeScript implementation of Android 12 Material You dynamic theme engine (named Monet).
A university project on image quantization algorithms and the use of these algorithms in searches for similar images
Coding solutions to multiple computer vision problems like image color quantization, object detection, and image segmentation.
KS Image Suite combines various graphical modules into a single project. Including finding similar images, agressive image compression and modules related to scanning images.
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.
This demonstrates the concepts of image quantization and dithering.
Reduce Colors in any Image using KMeans Clustering
🖼️ Imaging (artmaster88, bmp, nonlzw-gif, icon ImageIO SPIs, resizing filters, quantizeing filters)
Cultural-Algorithm-Image-Quantization
3_Machine_Learning_tasks
An image quantization application.
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