| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0381682 |
| utime |
20240103201331.2 |
| mtime |
20121105235959.9 |
| DOI |
10.1145/2093698.2093874 |
| title
(primary) (eng) |
Image Tampering Detection Using Methods Based on JPEG Compression Artifacts: A Real-Life Experiment |
| specification |
| page_count |
5 s. |
| media_type |
E |
|
| serial |
| ARLID |
cav_un_epca*0370269 |
| ISBN |
978-1-4503-0913-4 |
| title
|
Proceedings of ISABEL'11 |
| publisher |
| place |
Barcelona |
| name |
ACM |
| year |
2011 |
|
|
| keyword |
forensic image |
| keyword |
JPEG detection |
| author
(primary) |
| ARLID |
cav_un_auth*0206076 |
| name1 |
Mahdian |
| name2 |
Babak |
| 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*0101189 |
| name1 |
Saic |
| name2 |
Stanislav |
| 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 |
|
| cas_special |
| project |
| project_id |
GPP202/10/P509 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0263484 |
|
| project |
| project_id |
VG20102013064 |
| agency |
GA MV |
| ARLID |
cav_un_auth*0273814 |
|
| research |
CEZ:AV0Z10750506 |
| abstract
(eng) |
In this paper we analyze the synergy between forensic image head data consistency analysis and detection of doubles JPEG compression artifacts. We show that image head consistency testing is an eective method for detecting digital images that have been modied. On the other hand, when it is not combined with other forensic methods such as double JPEG detection, a high number of altered photos remained undetected. The same can also be claimed about double JPEG detection. When employed separately without conjunction with other methods, the majority of altered photos remained undetected. In this paper, a quantitative study on this topic is carried out. We show that combining various image forensic methods is a must. |
| action |
| ARLID |
cav_un_auth*0284374 |
| name |
ISABEL '11 Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies |
| place |
Barcelona |
| dates |
26.10.2011-29.10.2011 |
| country |
ES |
|
| reportyear |
2013 |
| RIV |
JC |
| num_of_auth |
2 |
| presentation_type |
PR |
| permalink |
http://hdl.handle.net/11104/0212097 |
| arlyear |
2011 |
| mrcbU63 |
cav_un_epca*0370269 Proceedings of ISABEL'11 978-1-4503-0913-4 176-1-176-5 Barcelona ACM 2011 |
|