JPEG Compression Model in Copy-move Forgery Detection
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F17%3A00482763" target="_blank" >RIV/67985556:_____/17:00482763 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/IPTA.2017.8310139" target="_blank" >http://dx.doi.org/10.1109/IPTA.2017.8310139</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/IPTA.2017.8310139" target="_blank" >10.1109/IPTA.2017.8310139</a>
Alternative languages
Result language
angličtina
Original language name
JPEG Compression Model in Copy-move Forgery Detection
Original language description
The integrity of visual data is important for the credibility of news media and especially when used as an evidence in court or during criminal investigation. The common way to manipulate image content is copying an object and pasting in another location of the same image. In this paper, we describe a new idea for the detection of this type of forgery in JPEG images, where the compression significantly degrades detection by popular algorithms. We derive a JPEG-based constraint that any pair of patches must satisfy to be considered a valid candidate for tampered area. We propose also efficient algorithm to verify the constraint that 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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the Seventh International Conference on Image Processing Theory, Tools and Applications
ISBN
978-1-5386-1843-1
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
65
Publisher name
IEEE
Place of publication
Montreal
Event location
Montreal
Event date
Nov 28, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000428743900063