Blind detection of digital forgery image based on the edge width

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Image composite is the most commonly approach in digital image forgery, and artificial blur operation used to conceal the combination edge of the image, which will change the features of the edge. We analyzed the characteristics of the fuzzy edge, and give a definition of edge width depend on the number of pixels. A novel method based on the edge width of blind detection is proposed to detect the forged digital images, the edge width will increase after the artificial blur operation, the proposed method make use of this character to detect the forgery area. The results of experiments demonstrate that the proposed method can detect the artificial blurred edge of digital image effectively, and is help to identify the forged image and locate the forgery area.

Original languageEnglish
Title of host publicationIntelligent Science and Intelligent Data Engineering - Second Sino-Foreign-Interchange Workshop, IScIDE 2011, Revised Selected Papers
Pages546-553
Number of pages8
DOIs
StatePublished - 2012
Event2nd Sino-Foreign-Interchange Workshop on Intelligent Science and Intelligent Data Engineering, IScIDE 2011 - Xi'an, China
Duration: 23 Oct 201125 Oct 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7202 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd Sino-Foreign-Interchange Workshop on Intelligent Science and Intelligent Data Engineering, IScIDE 2011
Country/TerritoryChina
CityXi'an
Period23/10/1125/10/11

Keywords

  • artificial blur
  • edge width
  • forged image

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