bibtype C - Conference Paper (international conference)
ARLID 0311913
utime 20240103190357.2
mtime 20090326235959.9
WOS 000258497100067
title (primary) (eng) Detection of Resampling Supplemented with Noise Inconsistencies Analysis for Image Forensics
specification
page_count 11 s.
serial
ARLID cav_un_epca*0311912
ISBN 978-0-7695-3243-1
title Selected Papers of the Sixth International Conference on Computational Science and Applications
page_num 546-556
publisher
place Los Alamitos, CA
name IEEE Computer Society
year 2008
editor
name1 Gavrilova
name2 Marina
editor
name1 Gervasi
name2 Osvaldo
editor
name1 Lagana
name2 Antonio
editor
name1 Mun
name2 Youngsong
editor
name1 Iglesias
name2 Andrés
title (cze) Detekce převzorkování a analýza šumových nehomogenit pro soudní ověření fotografií
keyword Interpolation
keyword resampling
keyword image forgery
author (primary)
ARLID cav_un_auth*0206076
name1 Mahdian
name2 Babak
institution UTIA-B
full_dept Department of Image Processing
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101189
name1 Saic
name2 Stanislav
institution UTIA-B
full_dept Department of Image Processing
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2008/ZOI/saic-detection%20of%20resampling%20supplemented%20with%20noise%20inconsistencies%20analysis%20for%20image%20forensics.pdf
cas_special
project
project_id GA102/08/0470
agency GA ČR
ARLID cav_un_auth*0239565
research CEZ:AV0Z10750506
abstract (eng) When two or more images are spliced together, to create high quality and consistent image forgeries, almost always geometric transformations such as scaling or rotation are needed. These procedures are typically based on a resampling and interpolation step. In this paper, we introduce a blind method capable of finding traces of resampling and interpolation. We also propose a novel method capable of dividing an investigated image into various partitions with homogenous noise levels.
abstract (cze) V případě, kdy dva nebo více obrazů jsou skládány dohromady, a požadujeme kvalitní a reálný výsledek, pak většinou je třeba aplikovat geometrické transformace. Tyto procedury jsou založeny na převzorkování a následné interpolaci. V tomto příspěvku představujeme pasivní metodu umožňující nalést stopy po převzorkování a interpolaci. Je také navržena metoda, která rozděluje obraz na části s homogenní úrovní šumu
action
ARLID cav_un_auth*0242144
name Sixth International Conference on Computational Science and Applications
place Perugia
dates 30.06.2008-03.07.2008
country IT
reportyear 2009
RIV IN
permalink http://hdl.handle.net/11104/0163126
arlyear 2008
mrcbU34 000258497100067 WOS
mrcbU63 cav_un_epca*0311912 Selected Papers of the Sixth International Conference on Computational Science and Applications 978-0-7695-3243-1 546 556 Los Alamitos, CA IEEE Computer Society 2008
mrcbU67 Gavrilova Marina 340
mrcbU67 Gervasi Osvaldo 340
mrcbU67 Lagana Antonio 340
mrcbU67 Mun Youngsong 340
mrcbU67 Iglesias Andrés 340