Tools for raster data including geophysical applications and digital elevation models
-
Updated
Sep 13, 2024 - Java
Tools for raster data including geophysical applications and digital elevation models
This repository implements the LZ77, LZ78, Huffman, Vector Quantization, and Arithmetic coding algorithms for data compression and decompression.
Coursera algorithms 2 (from Princeton Uni)
This repository contains Java code implementing the LZ-78 (Lempel-Ziv 78) data compression algorithm. The LZ-78 algorithm is a lossless data compression method that replaces repeated occurrences of data patterns with references to previously encountered patterns.
This repository contains a Java implementation of the LZ-77 data compression algorithm. LZ-77 is a lossless data compression method that replaces repetitive sequences of characters with references to previously occurring data. It achieves compression by storing the position and length of a match in a sliding window of previously processed data.
Image compression algorithm using Vector Quantization
Compress image to pixels by vector quantizations
java implementation for Adaptive Huffman Compression thecnique (lossless)
Huffman code is a particular type of optimal prefix code that is commonly used for lossless data compression. It's usually implemented via a greedy approach.
Multi-thread ZX0 data compressor in Java
My 2nd attempt to reinvent the wheel of files compression, slightly worked
My first attempt to reinvent the wheel of files compression
Repository for the lab work of Algorithms and Data Structures Course.
Huffman Coding
Add a description, image, and links to the data-compression topic page so that developers can more easily learn about it.
To associate your repository with the data-compression topic, visit your repo's landing page and select "manage topics."