huffman-coding

Python implementation of Huffman coding .

Compression suite for data frames and tabular data files, csv, excel etc. Using LZHW algorithm.

mp3 steganography library

Optimize any image by chroma subsampling and optimized huffman coding in Python. Basically, using JPEG algorithm!

Arithmetic coding library with statistical models like PPM and Context mixing (demonstrating core principles of probabilistic inference, ensemble learning in AI)

Adaptive Huffman coding algorithm in Python.

A lossless image compression and decompression algorithm utilizing the Huffman coding technique to efficiently reduce image file sizes while maintaining image quality.

Image steganography and compressing

Huffman encoding of Bitmap images

A parallel implementation of the bzip2 data compressor in python, this data compression pipeline is using algorithms like Burrows–Wheeler transform (BWT) and Move to front (MTF) to improve the Huffman compression. For now, this tool only will be focused on compressing .csv files, and other files on tabular format.

A JPEG compressor (only algorithm without header) in Python.

This repository serves as a valuable resource for researchers, developers, and enthusiasts working with AUVs, providing a range of image processing algorithms and tools tailored to enhance visual perception and analysis in underwater scenarios.

Implementation of Huffman Coding using Python

A program to compress and decompress files

Implementation of Compression and Learning Algorithms

The Huffman graphical tree is a visualization of the Huffman coding algorithm, which is a popular data compression technique. The Huffman coding algorithm assigns variable-length codes to characters based on their frequencies in a given text or dataset. This allows more frequent characters to have shorter codes

The algorithm design project contains Huffman coding, a lossless algorithm to reduce image file size.

This project addresses image's efficiency storage challenge by introducing a novel, efficient lossless compression method using Huffman coding. This method not only simplifies implementation but also reduces memory consumption, making it well-suited for resource-limited environments and aiming to revolutionize streamlined image data management.

Huffman encoding and decoding tree in python