JPEG XL image format reference implementation
-
Updated
Nov 9, 2024 - C++
JPEG XL image format reference implementation
Fast In-Memory Data Compression Algorithm (inline C/C++) 460+MB/s compress, 2800+MB/s decompress, ratio% better than LZ4, Snappy, and Zstd@-1
JNI binding for Zstd
This project is a team assignment for the "Multimedia Systems" course, offered in the 6th semester of the 2023 academic year at the University of Piraeus, Department of Informatics.
CharLS, a C++ JPEG-LS library implementation
A lossless compression algorithm implemented in Rust, inspired by Huffman coding
This project is a team assignment for the "Multimedia Systems" course, offered in the 6th semester of the 2023 academic year at the University of Piraeus, Department of Informatics.
In this code we implement the IEEE 1857.2 lossless audio coding extension using 3 different source coding techniques : 1) Arithmetic Coding (benchmark)
A small web app for lossless compression for text files
An implementation of a Huffman Encoding algorithm that generates a Huffman table for a given text file
This repository contains a C implementation of the Huffman coding algorithm, which is an efficient method for lossless data compression. The code constructs a Huffman tree based on the frequency of characters in a given message and generates a unique binary code for each character, minimizing the overall space required to store the message.
huff.py is a compression tool, used compress/decompress files.
A flexible Python tool for compressing data files with gzip, perfect for efficiently storing or transmitting large amounts of data without compromising quality.
Lepton is a tool and file format for losslessly compressing JPEGs by an average of 22%.
arithmetic encoder decoder, C port of Amir Said's FastAC
Data Compression using Arithmetic Encoding in Python
Free Lossless Image Format
Add a description, image, and links to the lossless-compression-algorithm topic page so that developers can more easily learn about it.
To associate your repository with the lossless-compression-algorithm topic, visit your repo's landing page and select "manage topics."