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CoMoFoD - New Database for Copy-Move Forgery Detection


Tralić, Dijana; Župančić, Ivan; Grgić, Sonja; Grgić, Mislav
CoMoFoD - New Database for Copy-Move Forgery Detection // Proceedings ELMAR-2013 / Božek, Jelena ; Grgić, Mislav ; Zovko-Cihlar, Branka (ur.).
Zagreb: Croatian Society Electronics in Marine, 2013. str. 49-54 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
CoMoFoD - New Database for Copy-Move Forgery Detection

Autori
Tralić, Dijana ; Župančić, Ivan ; Grgić, Sonja ; Grgić, Mislav

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings ELMAR-2013 / Božek, Jelena ; Grgić, Mislav ; Zovko-Cihlar, Branka - Zagreb : Croatian Society Electronics in Marine, 2013, 49-54

ISBN
978-953-7044-14-5

Skup
55th International Symposium ELMAR-2013

Mjesto i datum
Zadar, Hrvatska, 25.-27.9.2013

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Digital Image Forensics; Copy-paste Forgery; Benchmark Database; Postprocessing Methods; CoMoFoD

Sažetak
Due to the availability of many sophisticated image processing tools, a digital image forgery is nowadays very often used. One of the common forgery method is a copy-move forgery, where part of an image is copied to another location in the same image with the aim of hiding or adding some image content. Numerous algorithms have been proposed for a copy-move forgery detection (CMFD), but there exist only few benchmarking databases for algorithms evaluation. We developed new database for a CMFD that consist of 260 forged image sets. Every image set includes forged image, two masks and original image. Images are grouped in 5 categories according to applied manipulation: translation, rotation, scaling, combination and distortion. Also, postprocessing methods, such as JPEG compression, blurring, noise adding, color reduction etc., are applied at all forged and original images. In this paper we present database organization and content, creation of forged images, postprocessing methods, and database testing. CoMoFoD database is available at http://www.vcl.fer.hr/comofod

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo



POVEZANOST RADA


Projekt / tema
036-0361630-1635 - Upravljanje kvalitetom slike u radiodifuziji digitalnog videosignala (Sonja Grgić, )
036-0982560-1643 - Inteligentno određivanje značajki slike u sustavima za otkrivanje znanja (Mislav Grgić, )

Ustanove
Fakultet elektrotehnike i računarstva, Zagreb