Restauracija i poboljšanje kvalitete digitalne slike

Štirjan, Dejan

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master's thesis

Restauracija i poboljšanje kvalitete digitalne slike

2014. urn:nbn:hr:200:476560

Štirjan, Dejan

Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Communications
Laboratory for High Frequency Measurements

Cite this document

APA 6th Edition

Štirjan, D. (2014). Restauracija i poboljšanje kvalitete digitalne slike (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:476560

MLA 8th Edition

Štirjan, Dejan. "Restauracija i poboljšanje kvalitete digitalne slike." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2014. https://urn.nsk.hr/urn:nbn:hr:200:476560

Chicago 17th Edition

Harvard

Štirjan, D. (2014). 'Restauracija i poboljšanje kvalitete digitalne slike', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 10 December 2024, https://urn.nsk.hr/urn:nbn:hr:200:476560

Vancouver

Štirjan D. Restauracija i poboljšanje kvalitete digitalne slike [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2014 [cited 2024 December 10] Available at: https://urn.nsk.hr/urn:nbn:hr:200:476560

IEEE

D. Štirjan, "Restauracija i poboljšanje kvalitete digitalne slike", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2014. Available at: https://urn.nsk.hr/urn:nbn:hr:200:476560

Cite this item: https://urn.nsk.hr/urn:nbn:hr:200:476560

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Metadata

Title	Restauracija i poboljšanje kvalitete digitalne slike
Title (english)	Digital Image Restoration and Quality Enhancement
Author	Dejan Štirjan
Mentor	Snježana Rimac-Drlje (mentor)
Committee member	Snježana Rimac-Drlje (predsjednik povjerenstva)
Committee member	Mario Vranješ (član povjerenstva)
Committee member	Denis Vranješ (član povjerenstva)
Granter	Josip 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 country	2014-10-15, Croatia
Scientific / art field, discipline and subdiscipline	TECHNICAL SCIENCES Electrical Engineering Telecommunications and Informatics
Abstract	U diplomskom radu opisani su postupci za uklanjanje šuma i smanjenje zamućenja na digitalnoj slici. Opisani su osnovni (MF), Adaptivni (AMF), Izmjenični (SMF) i Modificiranim asimetričnim medijan filtrom baziranom na odlučivanju (MDBUTMF) i način na koji se koriste za uklanjanje šuma. Testiranjem na slikama na koje je dodan impulsni šuma utvrđeno je da najbolje rezultate uklanjanja šuma postiže adaptivni medijan filtar. Zamućenjem slika gubi na oštrini i detalji nestaju. U radu su opisani Inverzni, Iterativni i Wienerov filtar i njihova primjena za smanjenje zamućenja na slici. Najbolji rezultati smanjenja zamućenja prema PSNR i MSSSIM ocjeni dobiveni su primjenom Iterativnog filtra.
Abstract (english)	The procedures described in this paperwork are for removing noise and reducing blur in a digital image . Described are Basic ( MF), Adaptive ( AMF ) , Switched median (SMF ) Modified Decision Based Unsymmetric Trimmed Median filter ( MDBUTMF ) and the way which it used to remove noise . Testing of pictures added with impulse noise has been found that the best results of removing noise achieved by adaptive median filter. When picture is damaged with blur , it loses sharpness and detail disappear. This paper describes the inverse, iteration and the Wiener filter and its application to reduce blur in the picture. The best results to reducing blur according to PSNR and MS - SSIM evaluation were obtained by using an iterative filter
Keywords
Keywords (english)
Language	croatian
URN:NBN	urn:nbn:hr:200:476560
Study programme	Title: Graduate University Study Programme in Electrical Engineering; specializations in: Communications and Informatics, Power Engineering Course: Communications and Informatics Study programme type: university Study level: graduate Academic / professional title: magistar/magistra inženjer/inženjerka elektrotehnike (magistar/magistra inženjer/inženjerka elektrotehnike)
Type of resource	Text
File origin	Born digital
Access conditions	Open access
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Created on	2016-08-02 10:25:14