The discrete cosine transform (DCT) remains a cornerstone of modern image and video compression techniques, enabling the decomposition of visual data into frequency components that can be ...

In this paper, we use IoT devices at the edge to perform the data compression with arithmetic coding algorithm on the Tiny Machine Learning (TinyML) framework. Our Arithmetic Codec combines a deep ...

Learn how to create efficient multimedia compression algorithms for audio, video, and image data, and how to evaluate their performance and quality.

For years, code-editing tools like Cursor, Windsurf, and GitHub’s Copilot have been the standard for AI-powered software ...

Concurrently, research in data compression has explored dynamic and forward-looking approaches that build on traditional methods such as Huffman coding.

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Recent studies in perceptual lossy compression have highlighted the advantage of stochastic coding with shared randomness between encoder and decoder, over deterministic encoding in the regime of ...

Information Theory Coursework: Data Compression Algorithms This repository contains Python implementations of three fundamental lossless data compression algorithms: Huffman Coding, Q-ary Huffman ...

This repository contains the assignments of Information Theory and Data Compression Practices Spring 2023 @ NYCU - Releases · ADNRs/Huffman-and-Arithmetic-Coding ...