Run-length encoding compression but barebones
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Updated
May 4, 2020 - Python
Run-length encoding compression but barebones
2-PASS COMPRESSION ALGORITHM USING RLC.
This Python repository provides an implementation for JPEG image compression with both low and high compression modes. The script employs various transformations and compression techniques to optimize the file size of JPEG images while preserving acceptable image quality.
Data Compression Techniques Implementation in MATLAB
Useful operations for bitmap indexes and run-length encoded bitmaps.
RLE compressor and decompressor for simplified PBM images in AT&T x86 assembler.
Run-length encoding (RLE) is a form of lossless data compression in which runs of data (sequences in which the same data value occurs in many consecutive data elements) are stored as a single data value and count, rather than as the original run.
uglibs is a collection of c++ libraries
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 C++, as part of an assignment and final project module for the Data Structures (CS2001) course.
A simple run-length encoding library for Python.
Given a list of list of integers that represent alternating binary cells, this script creates a text image from those values.
File compression and decompression program, run-length and Huffman compression
Review & Implementation of data structures, algorithms and problems
My CS Bachelor Thesis (Summer 2022)
npm Module for Run length encoding decoding algorithm.
Run-length encoding (RLE) is a data compression technique used to reduce the size of repeated sequences of data in an array or stream. It works by replacing consecutive repeated occurrences of a data value with a count and a single value.
A terminal program to compress files using RLE
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