bibtype J - Journal Article
ARLID 0346813
utime 20240103193814.6
mtime 20100914235959.9
WOS 000280022200001
DOI 10.1016/j.image.2010.05.003
title (primary) (eng) A bibliography on blind methods for identifying image forgery
specification
page_count 11 s.
serial
ARLID cav_un_epca*0255077
ISSN 0923-5965
title Signal Processing-Image Communication
volume_id 25
volume 6 (2010)
page_num 389-399
publisher
name Elsevier
keyword Image forensics
keyword Digital forgery
keyword Image tampering
keyword Blind forgery detection
keyword Multimedia security
author (primary)
ARLID cav_un_auth*0101189
name1 Saic
name2 Stanislav
full_dept (cz) Zpracování obrazové informace
full_dept (eng) Department of Image Processing
department (cz) ZOI
department (eng) ZOI
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*0206076
name1 Mahdian
name2 Babak
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
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/2010/ZOI/saic-0346813.pdf
cas_special
project
project_id GA102/08/0470
agency GA ČR
country CZ
ARLID cav_un_auth*0239565
research CEZ:AV0Z10750506
abstract (eng) Verifying the integrity of digital images and detecting the traces of tampering without using any protecting pre-extracted or pre-embedded information have become an important and hot research field. The popularity of this field and the rapid growth in papers published during the last years have put considerable need on creating a complete bibliography addressing published papers in this area. In this paper, an extensive list of blind methods for detecting image forgery is presented. By the word blind we refer to those methods that use only the image function. An attempt has been made to make this paper complete by listing most of the existing references and by providing a detailed classification group.
reportyear 2011
RIV IN
mrcbC52 4 A 4a 20231122134130.6
permalink http://hdl.handle.net/11104/0187737
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mrcbTft \nSoubory v repozitáři: saic-0346813.pdf
mrcbU34 000280022200001 WOS
mrcbU63 cav_un_epca*0255077 Signal Processing-Image Communication 0923-5965 1879-2677 Roč. 25 č. 6 2010 389 399 Elsevier