| bibtype |
J -
Journal Article
|
| ARLID |
0483329 |
| utime |
20240103215204.3 |
| mtime |
20171218235959.9 |
| SCOPUS |
85038026758 |
| WOS |
000424296400012 |
| DOI |
10.1016/j.forsciint.2017.11.031 |
| title
(primary) (eng) |
Detection of Copy-move Image Modification Using JPEG Compression Model |
| specification |
| page_count |
11 s. |
| media_type |
P |
|
| serial |
| ARLID |
cav_un_epca*0256627 |
| ISSN |
0379-0738 |
| title
|
Forensic Science International |
| volume_id |
283 |
| volume |
1 (2018) |
| page_num |
47-57 |
| publisher |
|
|
| keyword |
Copy-move modification |
| keyword |
Forgery |
| keyword |
Image tampering |
| keyword |
Quantization constraint set |
| author
(primary) |
| ARLID |
cav_un_auth*0283562 |
| name1 |
Novozámský |
| name2 |
Adam |
| 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*0108377 |
| name1 |
Šorel |
| name2 |
Michal |
| 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 |
| ARLID |
cav_un_auth*0338628 |
| project_id |
GA16-13830S |
| agency |
GA ČR |
| country |
CZ |
|
| project |
| ARLID |
cav_un_auth*0314467 |
| project_id |
GA15-16928S |
| agency |
GA ČR |
|
| abstract
(eng) |
The so-called copy-move forgery, based on copying an object and pasting in another location of the same image, is a common way to manipulate image content. In this paper, we address the problem of copy-move forgery detection in JPEG images. The main problem with JPEG compression is that the same pixels, after moving to a different position and storing in the JPEG format, have different values. The majority of existing algorithms is based on matching pairs of similar patches, which generates many false matches. In many cases they cannot be eliminated by postprocessing, causing the failure of detection. To overcome this problem, we derive a JPEG-based constraint that any pair of patches must satisfy to be considered a valid candidate and propose an efficient algorithm to verify the constraint. The constraint can be integrated into most existing methods. Experiments show significant improvement of detection, especially for difficult cases, such as small objects, objects covered by textureless areas and repeated patterns. |
| RIV |
JD |
| FORD0 |
10000 |
| FORD1 |
10200 |
| FORD2 |
10201 |
| reportyear |
2019 |
| num_of_auth |
2 |
| mrcbC52 |
4 A hod 4ah 20231122142908.7 |
| inst_support |
RVO:67985556 |
| permalink |
http://hdl.handle.net/11104/0278697 |
| mrcbC64 |
1 Department of Image Processing UTIA-B 10200 COMPUTER SCIENCE, THEORY & METHODS |
| confidential |
S |
| mrcbC86 |
1 Article Medicine Legal |
| mrcbT16-e |
MEDICINELEGAL |
| mrcbT16-j |
0.513 |
| mrcbT16-s |
0.879 |
| mrcbT16-B |
55.496 |
| mrcbT16-D |
Q2 |
| mrcbT16-E |
Q2 |
| arlyear |
2018 |
| mrcbTft |
\nSoubory v repozitáři: novozamsky-0483329.pdf |
| mrcbU14 |
85038026758 SCOPUS |
| mrcbU24 |
PUBMED |
| mrcbU34 |
000424296400012 WOS |
| mrcbU63 |
cav_un_epca*0256627 Forensic Science International 0379-0738 1872-6283 Roč. 283 č. 1 2018 47 57 Elsevier |
|