| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0450605 |
| utime |
20240103211217.6 |
| mtime |
20160229235959.9 |
| SCOPUS |
84956675312 |
| WOS |
000371977800127 |
| DOI |
10.1109/ICIP.2015.7350872 |
| title
(primary) (eng) |
Identification of Aliasing-Based Patterns in Re-Captured LCD Screens |
| specification |
| page_count |
5 s. |
| media_type |
C |
|
| serial |
| ARLID |
cav_un_epca*0450645 |
| ISBN |
978-1-4799-8339-1 |
| ISSN |
1522-4880 |
| title
|
Proceedings of the 2015 IEEE International Conference on Image Processing, ICIP 2015 |
| page_num |
616-620 |
| publisher |
| place |
Piscataway |
| name |
IEEE |
| year |
2015 |
|
|
| keyword |
Image and Video Recapturing |
| keyword |
Cyclostationary |
| keyword |
Aliasing |
| keyword |
Spectral analysis |
| keyword |
CFA |
| keyword |
Image forensics |
| author
(primary) |
| ARLID |
cav_un_auth*0206076 |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept (eng) |
Department of Image Processing |
| department (cz) |
ZOI |
| department (eng) |
ZOI |
| full_dept |
Department of Image Processing |
| name1 |
Mahdian |
| name2 |
Babak |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0283562 |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept |
Department of Image Processing |
| department (cz) |
ZOI |
| department |
ZOI |
| full_dept |
Department of Image Processing |
| name1 |
Novozámský |
| name2 |
Adam |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| author
|
| ARLID |
cav_un_auth*0101189 |
| full_dept (cz) |
Zpracování obrazové informace |
| full_dept |
Department of Image Processing |
| department (cz) |
ZOI |
| department |
ZOI |
| full_dept |
Department of Image Processing |
| name1 |
Saic |
| name2 |
Stanislav |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| project |
| ARLID |
cav_un_auth*0292615 |
| project_id |
GA13-28462S |
| agency |
GA ČR |
|
| abstract
(eng) |
In this paper we address the problem of identification of pictures and videos re-captured from LCD screens. We show that they often exhibit detectable periodic patterns that are caused by regular sampling grid of LCD screen and aliasing. We develop a method capable of detecting these patterns by using the theory of cyclostationarity. The term cyclostationarity refers to a special class of signals which exhibit periodicity in their statistics. Such signals have a frequency spectrum correlated with a shifted version of itself. Experimental results quantifying the performance of the developed method are also shown. |
| action |
| ARLID |
cav_un_auth*0322185 |
| name |
IEEE International Conference on Image Processing 2015, ICIP 2015 |
| dates |
27.09.2015-30.09.2015 |
| place |
Québec City |
| country |
CA |
|
| RIV |
IN |
| reportyear |
2016 |
| presentation_type |
PR |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0251928 |
| confidential |
S |
| mrcbC86 |
n.a. Proceedings Paper Engineering Electrical Electronic|Imaging Science Photographic Technology |
| arlyear |
2015 |
| mrcbU14 |
84956675312 SCOPUS |
| mrcbU34 |
000371977800127 WOS |
| mrcbU63 |
cav_un_epca*0450645 Proceedings of the 2015 IEEE International Conference on Image Processing, ICIP 2015 978-1-4799-8339-1 1522-4880 616 620 Piscataway IEEE 2015 |
|