Digital image forgery detection by edge analysis

Reza Moradi Rad; Koksheik Wong

doi:10.1109/ICCE-TW.2015.7216848

Digital image forgery detection by edge analysis

Reza Moradi Rad, Koksheik Wong

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other › peer-review

5 Citations (Scopus)

Abstract

The advent of user-friendly yet powerful editing softwares has cast doubt on the authenticity of digital images. Therefore, developing reliable detection techniques is of great importance to verify the originality of a given image. In this work, a forgery detection technique based on the analysis of edge information is proposed. Unlike the conventional methods, the proposed technique is not restricted to the traces left by the act of double compression, but instead it allows the input image to be singly compressed or uncompressed. Experimental results confirmed that proposed method is able to localize forged area when the forged image is not double compressed.

Original language	English
Title of host publication	2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	19-20
Number of pages	2
ISBN (Electronic)	9781479987443
DOIs	https://doi.org/10.1109/ICCE-TW.2015.7216848
Publication status	Published - 20 Aug 2015
Externally published	Yes
Event	IEEE International Conference on Consumer Electronics-Taiwan 2015 - Taipei, Taiwan Duration: 6 Jun 2015 → 8 Jun 2015 Conference number: 2nd https://ieeexplore.ieee.org/xpl/conhome/7170113/proceeding (Proceedings)

Conference

Conference	IEEE International Conference on Consumer Electronics-Taiwan 2015
Abbreviated title	ICCE-TW 2015
Country/Territory	Taiwan
City	Taipei
Period	6/06/15 → 8/06/15
Internet address	https://ieeexplore.ieee.org/xpl/conhome/7170113/proceeding (Proceedings)

Keywords

Digital images
Discrete cosine transforms
Forgery
Image coding
Image edge detection
Security
Splicing

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10.1109/ICCE-TW.2015.7216848

Cite this

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title = "Digital image forgery detection by edge analysis",

abstract = "The advent of user-friendly yet powerful editing softwares has cast doubt on the authenticity of digital images. Therefore, developing reliable detection techniques is of great importance to verify the originality of a given image. In this work, a forgery detection technique based on the analysis of edge information is proposed. Unlike the conventional methods, the proposed technique is not restricted to the traces left by the act of double compression, but instead it allows the input image to be singly compressed or uncompressed. Experimental results confirmed that proposed method is able to localize forged area when the forged image is not double compressed.",

keywords = "Digital images, Discrete cosine transforms, Forgery, Image coding, Image edge detection, Security, Splicing",

author = "Rad, {Reza Moradi} and Koksheik Wong",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.; IEEE International Conference on Consumer Electronics-Taiwan 2015, ICCE-TW 2015 ; Conference date: 06-06-2015 Through 08-06-2015",

year = "2015",

month = aug,

day = "20",

doi = "10.1109/ICCE-TW.2015.7216848",

language = "English",

pages = "19--20",

booktitle = "2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

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}

TY - GEN

T1 - Digital image forgery detection by edge analysis

AU - Rad, Reza Moradi

AU - Wong, Koksheik

N1 - Conference code: 2nd

PY - 2015/8/20

Y1 - 2015/8/20

N2 - The advent of user-friendly yet powerful editing softwares has cast doubt on the authenticity of digital images. Therefore, developing reliable detection techniques is of great importance to verify the originality of a given image. In this work, a forgery detection technique based on the analysis of edge information is proposed. Unlike the conventional methods, the proposed technique is not restricted to the traces left by the act of double compression, but instead it allows the input image to be singly compressed or uncompressed. Experimental results confirmed that proposed method is able to localize forged area when the forged image is not double compressed.

AB - The advent of user-friendly yet powerful editing softwares has cast doubt on the authenticity of digital images. Therefore, developing reliable detection techniques is of great importance to verify the originality of a given image. In this work, a forgery detection technique based on the analysis of edge information is proposed. Unlike the conventional methods, the proposed technique is not restricted to the traces left by the act of double compression, but instead it allows the input image to be singly compressed or uncompressed. Experimental results confirmed that proposed method is able to localize forged area when the forged image is not double compressed.

KW - Digital images

KW - Discrete cosine transforms

KW - Forgery

KW - Image coding

KW - Image edge detection

KW - Security

KW - Splicing

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U2 - 10.1109/ICCE-TW.2015.7216848

DO - 10.1109/ICCE-TW.2015.7216848

M3 - Conference Paper

AN - SCOPUS:84959563386

SP - 19

EP - 20

BT - 2015 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2015

PB - IEEE, Institute of Electrical and Electronics Engineers

T2 - IEEE International Conference on Consumer Electronics-Taiwan 2015

Y2 - 6 June 2015 through 8 June 2015

ER -

Digital image forgery detection by edge analysis

Abstract

Conference

Keywords

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