It should probably come as no surprise to anyone that the images which we look at every day – whether printed or on a display – are simply illusions. That cat picture isn’t ...

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 ...

Image processing is manipulation of an image that has been digitised and uploaded into a computer. Software programs modify the image to make it more useful, and can for example be used to enable ...

Successive approximation (SA) quantization is part of many of the state-of-the-art image and video compression methods. We first make a review of it, starting from the classical optimality ...

The performance of variational auto-encoders (VAE) for image compression has steadily grown in recent years, thus becoming competitive with advanced visual data compression technologies. These neural ...

Generates a synthetic consumer spending dataset in CSV and Parquet formats with sampling methods (First-K, Random, Stratified). Ideal for ML data preparation workflows in Amazon SageMaker. Modular ...

A Python-based image processing GUI using Tkinter and ttkbootstrap. Supports grayscale and RGB filters, histogram analysis, point operations, thresholding, noise removal, edge detection, segmentation, ...