Fully Homomorphic Image Preprocessing and analysis - JPEG encoding, decoding, image resizing.
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Updated
May 1, 2018 - C++
Fully Homomorphic Image Preprocessing and analysis - JPEG encoding, decoding, image resizing.
The implementation of various data compression techniques.
A BluRay PGS subtitle (.sup) parser
A C++ library to compress or expand binary data using Run-Length Encoding
Fast Run Length Encoder and Decoder
Lossless compression using Run-Length
Serialize and Deserialize Run Length Encoding
I have worked on developing the implementation of Huffman Compression Algorithm on Strings along with run time encoding. Written in C, the program works on Min Heaps and Huffman Tree data structures. It uses Huffman algorithm—create a Huffman Tree using the frequencies of each character using heap data structure—and Run-time-encoding to compression
Heuristics and metaheuristics for enhancing Run-Length Encoding in a database
C++ header-only Game of Life library
A ASCII art viewer that can also compress the files using Run Length Encoding. Written in Python using Tkinter.
Compression algorithms: Arithmetic, LZW, Run-length. Coding algorithms: Hamming, Repetition, Read-Muller
Basic seed-and-extend DNA sequence read aligner
Decode coverage.bedGraph files that use the run-length encoding format.
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.
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.
My CS Bachelor Thesis (Summer 2022)
Separating the multiplier from the UTF-8 unicode using singly linked lists
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.
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