crta
Hrvatska znanstvena Sekcija img
bibliografija
3 gif
 Naslovna
 O projektu
 FAQ
 Kontakt
4 gif
Pregledavanje radova
Jednostavno pretraživanje
Napredno pretraživanje
Skupni podaci
Upis novih radova
Upute
Ispravci prijavljenih radova
Ostale bibliografije
Slični projekti
 Bibliografske baze podataka

Pregled bibliografske jedinice broj: 697616

Zbornik radova

Autori: Tralic, Dijana; Rosin, Paul; Sun, Xianfang; Grgic, Sonja
Naslov: Detection of Duplicated Image Regions using Cellular Automata
( Detection of Duplicated Image Regions using Cellular Automata )
Izvornik: Proceedings IWSSIP 2014 / Mustra, Mario ; Tralic, Dijana ; Grgic, Mislav ; Zovko-Cihlar, Branka (ur.). - Zagreb : Fakultet elektortehnike i računarstva , 2014. 167-170 (ISBN: 978-953-184-191-7).
ISSN: 2157-8672
Skup: 21st International Conference on Systems, Signals and Image Processing IWSSIP 2014
Mjesto i datum: Dubrovnik, Hrvatska, 12.-15. svibanj
Ključne riječi: Image Forensics; Copy-Move Forgery; Cellular Automata; Post-processing
( Image Forensics; Copy-Move Forgery; Cellular Automata; Post-processing )
Sažetak:
A common image forgery method is copy-move forgery (CMF), where part of an image is copied and moved to a new location. Identification of CMF can be conducted by detection of duplicated regions in the image. This paper presents a new approach for CMF detection where cellular automata (CA) are used. The main idea is to divide an image into overlapping blocks and use CA to learn a set of rules. Those rules appropriately describe the intensity changes in every block and are used as features for detection of duplicated areas in the image. Use of CA for image processing implies use of pixels’ intensities as cell states, leading to a combinatorial explosion in the number of possible rules and subsets of those rules. Therefore, we propose a reduced description based on a proper binary representation using local binary patterns (LBPs). For detection of plain CMF, where no transformation of the copied area is applied, sufficient detection is accomplished by 1D CA. The main issue of the proposed method is its sensitivity to post-processing methods, such as the addition of noise or blurring. Coping with that is possible by pre-processing of the image using an averaging filter.
Vrsta sudjelovanja: Predavanje
Vrsta prezentacije u zborniku: Cjeloviti rad (više od 1500 riječi)
Vrsta recenzije: Međunarodna recenzija
Izvorni jezik: eng
Kategorija: Znanstveni
Znanstvena područja:
Elektrotehnika,Računarstvo
Upisao u CROSBI: Dijana Tralić (dijana.tralic@fer.hr), 20. Svi. 2014. u 16:10 sati



Verzija za printanje   za tiskati


upomoc
foot_4