Title
Detekcija namerno izazvanih promena u sadržaju slike
Creator
Pavlović, Aleksandra S., 1985- 33424487
Copyright date
2019
Object Links
Select license
Autorstvo-Nekomercijalno-Bez prerade 3.0 Srbija (CC BY-NC-ND 3.0)
License description
Dozvoljavate samo preuzimanje i distribuciju dela, ako/dok se pravilno naznačava ime autora, bez ikakvih promena dela i bez prava komercijalnog korišćenja dela. Ova licenca je najstroža CC licenca. Osnovni opis Licence: http://creativecommons.org/licenses/by-nc-nd/3.0/rs/deed.sr_LATN. Sadržaj ugovora u celini: http://creativecommons.org/licenses/by-nc-nd/3.0/rs/legalcode.sr-Latn
Language
Serbian
Cobiss-ID
Theses Type
Doktorska disertacija
description
Datum odbrane: 19.06.2019.
Other responsibilities
mentor
Reljin, Irini, 1952- 12385383
član komisije
Prokin, Milan, 1963- 16263271
član komisije
Samčović, Andreja, 1963- 12639335
član komisije
Šumarac-Pavlović, Dragana, 1967- 22233447
član komisije
Gavrovska, Ana, 1983-
2825831
Academic Expertise
Tehničko-tehnološke nauke
University
Univerzitet u Beogradu
Faculty
Elektrotehnički fakultet
Alternative title
Detection of intentionally made changes in image content
Publisher
[A. Pavlović]
Format
126 listova
description
Telekomunikacije, obrada slike, forenzika slike - Forenzika slike / Telecommunications, Image processing, Image forensics - Image forensics
Abstract (sr)
Digital images and video signals represent the most frequently transmitted contents. Namely, with the development of modern digital cameras and smartphones, the use of multimedia content increases every day. They are used in everyday life, for getting information and also as authenticated proofs or corroboratory evidence in different areas like: forensic studies, law enforcement, journalism and others...
Abstract (sr)
Multifraktalna analiza se pokazala kao dobar alat za analizu postojećih slika, kao i segmentaciju određenih regiona, izdvajanje ivica, uglova slike i slično. Kako kopirani i nalepljeni delovi imaju sličnu strukturu, može se primeniti multifraktalna analiza, koja u osnovi analizira samosličnost. Multifraktalni spektar daje globalni opis slike (ili, opštije, fenomena koji se ispituje). Vrednost Hölder-ovog eksponenta zavisi od položaja u strukturi i opisuje lokalnu regularnost signala. Naime, različiti objekti na slici imaju različite spektre, različite pozicije maksimuma, minimuma, prve nule itd, što se pokazalo kao interesantan skup različitih parametara pomoću kojih se mogu detektovati namerne promene na slikama...
Authors Key words
obrada slike, klasterovanje, forenzika slike, CMFD (copy-move forgery detection), multifraktalni spektar, Hölder-ov eksponent, metaheuristika, semi-metrika
Authors Key words
image processing, clustering, image forensics, CMFD (copy-move forgery detection), multifractal spectrum, Hölder exponent, metaheuristic method, semi-metric
Type
Tekst
Abstract (sr)
Digital images and video signals represent the most frequently transmitted contents. Namely, with the development of modern digital cameras and smartphones, the use of multimedia content increases every day. They are used in everyday life, for getting information and also as authenticated proofs or corroboratory evidence in different areas like: forensic studies, law enforcement, journalism and others...
“Data exchange” service offers individual users metadata transfer in several different formats. Citation formats are offered for transfers in texts as for the transfer into internet pages. Citation formats include permanent links that guarantee access to cited sources. For use are commonly structured metadata schemes : Dublin Core xml and ETUB-MS xml, local adaptation of international ETD-MS scheme intended for use in academic documents.
