Detection of Copy-move Image Modification Using JPEG Compression Model

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F18%3A00483329" target="_blank" >RIV/67985556:_____/18:00483329 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1016/j.forsciint.2017.11.031" target="_blank" >http://dx.doi.org/10.1016/j.forsciint.2017.11.031</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.forsciint.2017.11.031" target="_blank" >10.1016/j.forsciint.2017.11.031</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Detection of Copy-move Image Modification Using JPEG Compression Model

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Detection of Copy-move Image Modification Using JPEG Compression Model

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

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

2018

Kód důvěrnosti údajů

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

Název periodika

Forensic Science International

ISSN

0379-0738

e-ISSN

—

Svazek periodika

283

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

IE - Irsko

Počet stran výsledku

11

Strana od-do

47-57

Kód UT WoS článku

000424296400012

EID výsledku v databázi Scopus

2-s2.0-85038026758