| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0341899 |
| utime |
20240103193406.5 |
| mtime |
20100413235959.9 |
| title
(primary) (eng) |
A Cyclostationarity Analysis Applied to Image Forensics |
| specification |
| page_count |
6 s. |
| media_type |
CD |
|
| serial |
| ARLID |
cav_un_epca*0341898 |
| ISBN |
978-1-4244-5498-3 |
| ISSN |
1550-5790 |
| title
|
Proceedings of IEEE Workshop on Applications of Computer Vision (WACV 2009). |
| page_num |
279-284 |
| publisher |
| place |
Piscataway |
| name |
IEEE |
| year |
2009 |
|
|
| keyword |
cyclostationarity |
| keyword |
image processing |
| keyword |
image forgery |
| keyword |
image forensics |
| 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 |
|
| cas_special |
| project |
| project_id |
GA102/08/0470 |
| agency |
GA ČR |
| ARLID |
cav_un_auth*0239565 |
|
| research |
CEZ:AV0Z10750506 |
| abstract
(eng) |
The processing history of images plays an important role in many fields of digital image processing and computer vision. In this paper, we focus on geometrical transformations and show that images that have undergone such transformations contain hidden cyclostationary features. This makes possible employing the well–developed theory and efficient methods of cyclostationarity for blind analyzing of history of images in respect to geometrical transformations. To verify this, we also propose a cyclostationarity detection method and show how the traces of geometrical transformations in an image can be detected and the specific parameters of the transformation estimated. The method is based on the fact that a cyclostationary signal has a frequency spectrum correlated with a shifted version of itself. |
| action |
| ARLID |
cav_un_auth*0261413 |
| name |
2009 IEEE Workshop on Applications of Computer Vision (WACV 2009) |
| place |
SnowBird Utah |
| dates |
07.12. 2009-09.12.2009 |
| country |
US |
|
| reportyear |
2011 |
| RIV |
IN |
| permalink |
http://hdl.handle.net/11104/0184749 |
| arlyear |
2009 |
| mrcbU63 |
cav_un_epca*0341898 Proceedings of IEEE Workshop on Applications of Computer Vision (WACV 2009). 978-1-4244-5498-3 1550-5790 279 284 Piscataway IEEE 2009 |
|