By encoding repeated data sequences with their run lengths, QRLE achieves efficient and accurate data recovery on quantum computers, while exponentially reducing both qubit costs and runtime ...

Data compression is a challenging and increasingly important problem. As the amount of data generated daily continues to increase, efficient transmission and storage have never been more critical. In ...

The concept has existed for centuries, but modern digital steganography makes it possible to hide data within digital files in ways that are virtually undetectable. In this article, we’ll explore ...

A Python implementation of JPEG image compression using the Discrete Cosine Transform (DCT) and Run-Length Encoding (RLE) to reduce image sizes while maintaining quality.

Images are among the most common and popular representations of data. Digital images are used for professional and personal use ranging from official documents to social media. Thus, any Organization ...

Like chroma subsampling, this doesn’t offer any compression on its own but allows the subsequent run-length encoding to be more effective, giving more (lossless) compression.

This repository is a collection of fundamental digital image processing operations and algorithms performed on greyscale images, or Portable Grey Map (PGM) files, using different data structures in ...