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master's thesis
Uklanjanje impulsnog šuma iz slike primjenom selektivnog medijan filtra s detekcijom šuma
2016. urn:nbn:hr:200:543002
Matijas, Adriana
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Communications
Laboratory for High Frequency Measurements

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Matijas, A. (2016). Uklanjanje impulsnog šuma iz slike primjenom selektivnog medijan filtra s detekcijom šuma (Master's thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:543002

Matijas, Adriana. "Uklanjanje impulsnog šuma iz slike primjenom selektivnog medijan filtra s detekcijom šuma." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2016. https://urn.nsk.hr/urn:nbn:hr:200:543002

Matijas, Adriana. "Uklanjanje impulsnog šuma iz slike primjenom selektivnog medijan filtra s detekcijom šuma." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2016. https://urn.nsk.hr/urn:nbn:hr:200:543002

Matijas, A. (2016). 'Uklanjanje impulsnog šuma iz slike primjenom selektivnog medijan filtra s detekcijom šuma', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 19 January 2021, https://urn.nsk.hr/urn:nbn:hr:200:543002

Matijas A. Uklanjanje impulsnog šuma iz slike primjenom selektivnog medijan filtra s detekcijom šuma [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2016 [cited 2021 January 19] Available at: https://urn.nsk.hr/urn:nbn:hr:200:543002

A. Matijas, "Uklanjanje impulsnog šuma iz slike primjenom selektivnog medijan filtra s detekcijom šuma", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2016. Available at: https://urn.nsk.hr/urn:nbn:hr:200:543002

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Metadata
TitleUklanjanje impulsnog šuma iz slike primjenom selektivnog medijan filtra s detekcijom šuma
Title (english)Impulse Noise Removal in Image by Applying Selective Median Filter with Noise Detection
AuthorAdriana Matijas
MentorSnježana Rimac-Drlje (mentor)
Committee memberSnježana Rimac-Drlje (predsjednik povjerenstva)
Committee memberMario Vranješ (član povjerenstva)
Committee memberIrena Galić (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Communications)
(Laboratory for High Frequency Measurements)
Osijek
Defense date and country2016-10-12, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Process Computing
Abstract
Standardni medijan filter poznat je kao učinkovito riješenje problema uklanjanja šumova iz slika, međutim kada se radi o slikama koje su teže oštećene šumma, standardni medijan filter gubi na učinkovitosti. U ovom je radu napravljen program za uklanjanje impulsnog sol i papar šuma primjenom medijan filtra, adaptivog medijan filtra i adaptivog medijan filtra s BDND algoritmom. Analizirana je kvaliteta slika nakon uklanjanja impulsnog šuma navedenim algoritmima te je utvrđeno da adaptivni medijan filtar učinkovito otklanja šum u slikama s manje detalja i s izraženim rubovima. Za slike s mnoštvom detalja najbolje rezultate pokazuje adaptivni medijan filtar s BDND algoritmom, ali ovaj način otklanjanja šuma zahtjeva značajno više procesorskog vremena i nije pogodan kod visokih postotaka šumom oštećenih elemenata slike.
Abstract (english)
Standard median filter is known as an effective solution in noise removing from corrupted images, however when it comes to badly corrupted images standard median filter loses its effectiveness. In this paper a program has been made to remove salt and pepper noise by applying a median filter, adaptive median filter and adaptive median filter with BDND algorithm. Quality of the image has been analyzed after removing the impulse noise using mentioned algorithms and found that adaptive median filter effectively eliminates noise in images with less details and with pronounced edges. For pictures with lot of details best results shows adaptive median filter with BDND algorithm, but this method of eliminating noise requires significantly more processing time and is not suitable for the large percentage of damaged picture elements
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:543002
Study programmeTitle: Graduate University Study Programme in Computer Engineering
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2016-12-02 13:01:12