For over a decade, researchers have considered boson sampling—a quantum computing protocol involving light particles—as a key ...

Scikit-image is a Python library that is built on top of NumPy and SciPy and offers a wide range of image processing capabilities, including image filtering, segmentation, and feature extraction.

Colour quantization, the process of reducing the number of distinct colours in an image while maintaining visual fidelity, is a cornerstone of digital image processing and computer graphics.

Python is one of the most popular programming languages for Natural Language Processing (NLP) tasks. With its vast collection of libraries, Python offers a wide range of tools for NLP.

With the rapid development of neural networks, learned image compression (LIC) has surpassed traditional methods in the field of image compression. However, current LIC frameworks rely on ...

Color quantization is the process of reducing the number of distinct colors used in an image while preserving its visual appearance as much as possible. This technique is widely used in image ...

In this work, we study the properties of sampling sets on families of large graphs by leveraging the theory of graphons and graph limits. We extend to graphon signals the notion of removable and ...

This project provides a graphical interface to perform color quantization on images using MiniBatch K-Means clustering. It allows users to reduce the number of colors in an image, making it simpler ...