Poboljšanje kvalitete slike primjenom filtriranja

undergraduate thesis

• Title (english): Image quality enhancement using filtering techniques
• Author: Ema Popović
• Mentor: Sonja Grgić (mentor)
• Committee member: Sonja Grgić (predsjednik povjerenstva)
• Committee member: Tomislav Kos (član povjerenstva)
• Committee member: Filip Turčinović (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2020-07-06, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

Slika je jedan od glavnih medija bilježenja svijeta i okoline u dvadeset prvom stoljeću. Koristi se za prijenos informacija i treba biti dobre kvalitete. Kvaliteta slike može biti niska pri nastanku zbog neoptimalnih postavki kamere ili loše kompozicije slike. Točnim filtrom mogu se ispraviti ili barem umanjiti pogreške.
Kroz ovaj rad opisane su neki efekti mogući filtriranjem slika: zamućenje, detekcija rubova u slici, izoštravanje, poboljšanje kontrasta, uklanjanje šuma i gama-korekcija.... More Objašnjena su načela filtriranja u prostornoj i frekvencijskoj domeni. Metode postizanja različitih efekata implementirane su u programskom jeziku Python pomoću biblioteke funkcija OpenCV. Djelovanje filtriranja je isprobano na skupu slika različitih prostornih i frekvencijskih značajki.
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Abstract (english)

An image is one of the main types of media for capturing the world and one's surroundings in the twenty-first century. It is used to convey information and it should be of good quality. Image quality can be low when it is being shot because of suboptimal camera settings or poor shot composition. By using the correct filter, mistakes can be corrected or at least reduced.
This paper describes some effects possible through image filtering: image blurring, edge detection, image sharpening,... More contrast enhancement, noise reduction and gamma-correction. The principles of filtering in spatial and frequency domains are explained. Methods for achieving different effects are implemented in the programming language Python with the help of the library OpenCV. The effects of filtering are tested on a set of images with different spatial and frequency characteristics.
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• Keywords: slika; obrada slike; poboljšanje kvalitete; filtriranje; prostorna domena; frekvencijska domena; OpenCV
• Keywords (english): image; image processing; quality enhancement; filtering; spatial domain; frequency domain; OpenCV
• Language: croatian
• URN:NBN: urn:nbn:hr:168:327844
• Study programme: Title: Computing; Study programme type: university; Study level: undergraduate; Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2023-01-14 09:42:13