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Stiskanje podatkov s pomočjo algoritmov Lempel-Ziv-Welch in Huffman
ID PETERNEL, ERIK (Author), ID Šter, Branko (Mentor) More about this mentor... This link opens in a new window

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Abstract
Področje stiskanja podatkov predstavlja eno izmed pomembnejših vej v informacijski teoriji. Stremi k reduciranju količine podatkov za zapis oziroma prenos neke informacije. V diplomski nalogi so na kratko predstavljeni osnovni algoritmi in principi stiskanja. Kasneje se osredotočimo na algoritem Lempel-Ziv-Welch, ki za stiskanje uporablja slovar in algoritem Huffman, ki za namene stiskanja uporablja statistiko. Oba našteta algoritma nato tudi implementiramo. Za izpeljavo tega uporabimo programski jezik C in operacijski sistem Linux. Da bi bila uporaba implementacije čim enostavnejša, s pomočjo odprtokodne knjižnice GTK ustvarimo preprost uporabniški vmesnik. V zaključni fazi algoritma preizkusimo na nekaj različnih primerih podatkov, npr. besedilo, slika, binarna datoteka, ipd., in vzporedno beležimo rezultate za kasnejšo analizo.

Language:Slovenian
Keywords:stiskanje, razširjanje, algoritem, podatki, programski jezik C, Huffman, Lempel-Ziv-Welch
Work type:Bachelor thesis/paper
Typology:2.11 - Undergraduate Thesis
Organization:FRI - Faculty of Computer and Information Science
Year:2023
PID:20.500.12556/RUL-144841 This link opens in a new window
COBISS.SI-ID:148115971 This link opens in a new window
Publication date in RUL:16.03.2023
Views:417
Downloads:52
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Secondary language

Language:English
Title:Data compression using Lempel-Ziv-Welch and Huffman algorithm
Abstract:
Data compression represents one of the most important fields of information theory. It seeks to reduce the quantity of data used to store or transmit information. The thesis starts with a brief description of algorithms and principles used for data compression. Continues with the main focus on two algorithms – Lempel-Ziv-Welch and Huffman, where each one represents a different type of compression technique. Algorithms are then implemented in the C programming language. In order to make implementation simple to use, a graphical interface is designed with the help of the GTK open source library. Finally, both algorithms are tested on several types of files such as text, image, binary file, etc. Results are then used for a more in-depth analysis.

Keywords:compressing, decompressing, algorithm, data, C programming language, Huffman, Lempel-Ziv-Welch

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