JPEG Compression Model in Copy-move Forgery Detection

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

JPEG Compression Model in Copy-move Forgery Detection

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

JPEG Compression Model in Copy-move Forgery Detection

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20205 - Automation and control systems

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings of the Seventh International Conference on Image Processing Theory, Tools and Applications

ISBN

978-1-5386-1843-1

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

65

Název nakladatele

IEEE

Místo vydání

Montreal

Místo konání akce

Montreal

Datum konání akce

28. 11. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000428743900063