SVD based image manipulation detection

Gokhan Gul; Ismail  Avcibas; Fatih Kurugollu

doi:10.1109/ICIP.2010.5652854

SVD based image manipulation detection

Gokhan Gul, Ismail Avcibas, Fatih Kurugollu

School of Electronics, Electrical Engineering and Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

17 Citations (Scopus)

Abstract

In this paper we present a novel method based on singular value decomposition (SVD) for forensic analysis of digital images. We show that image tampering distorts linear dependencies of image rows/columns and derived features can be accurate enough to detect image manipulations and digital forgeries. Extensive experiments show that the proposed approach can outperform the counterparts in the literature.

Original language	English
Title of host publication	2010 IEEE International Conference on Image Processing: proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1765-1768
Number of pages	4
ISBN (Electronic)	9781424479948, 9781424479931
ISBN (Print)	9781424479924
DOIs	https://doi.org/10.1109/ICIP.2010.5652854
Publication status	Published - 03 Dec 2010
Event	2010 IEEE 17th International Conference on Image Processing - Hong Kong, Hong Kong Duration: 26 Sept 2010 → 29 Sept 2010

Publication series

Name	IEEE International Conference on Image Processing
Publisher	IEEE
ISSN (Print)	1522-4880
ISSN (Electronic)	2381-8549

Conference

Conference	2010 IEEE 17th International Conference on Image Processing
Country/Territory	Hong Kong
City	Hong Kong
Period	26/09/2010 → 29/09/2010

Keywords

SVD
image manipulation detection
singular value decomposition

Access to Document

10.1109/ICIP.2010.5652854Licence: Unspecified

R1118ECI: Centre for Secure Information Technologies (CSIT)
McCanny, J. V. (PI), Cowan, C. (CoI), Crookes, D. (CoI), Fusco, V. (CoI), Linton, D. (CoI), Liu, W. (CoI), Miller, P. (CoI), O'Neill, M. (CoI), Scanlon, W. (CoI) & Sezer, S. (CoI)
01/08/2009 → 30/06/2014
Project: Research

Cite this

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title = "SVD based image manipulation detection",

abstract = "In this paper we present a novel method based on singular value decomposition (SVD) for forensic analysis of digital images. We show that image tampering distorts linear dependencies of image rows/columns and derived features can be accurate enough to detect image manipulations and digital forgeries. Extensive experiments show that the proposed approach can outperform the counterparts in the literature.",

keywords = "SVD, image manipulation detection, singular value decomposition",

author = "Gokhan Gul and Ismail Avcibas and Fatih Kurugollu",

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language = "English",

isbn = "9781424479924",

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publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Gul, G, Avcibas, I & Kurugollu, F 2010, SVD based image manipulation detection. in 2010 IEEE International Conference on Image Processing: proceedings. IEEE International Conference on Image Processing, Institute of Electrical and Electronics Engineers Inc., pp. 1765-1768, 2010 IEEE 17th International Conference on Image Processing , Hong Kong, Hong Kong, 26/09/2010. https://doi.org/10.1109/ICIP.2010.5652854

SVD based image manipulation detection. / Gul, Gokhan; Avcibas, Ismail ; Kurugollu, Fatih.
2010 IEEE International Conference on Image Processing: proceedings. Institute of Electrical and Electronics Engineers Inc., 2010. p. 1765-1768 (IEEE International Conference on Image Processing).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

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AU - Kurugollu, Fatih

PY - 2010/12/3

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N2 - In this paper we present a novel method based on singular value decomposition (SVD) for forensic analysis of digital images. We show that image tampering distorts linear dependencies of image rows/columns and derived features can be accurate enough to detect image manipulations and digital forgeries. Extensive experiments show that the proposed approach can outperform the counterparts in the literature.

AB - In this paper we present a novel method based on singular value decomposition (SVD) for forensic analysis of digital images. We show that image tampering distorts linear dependencies of image rows/columns and derived features can be accurate enough to detect image manipulations and digital forgeries. Extensive experiments show that the proposed approach can outperform the counterparts in the literature.

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KW - image manipulation detection

KW - singular value decomposition

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DO - 10.1109/ICIP.2010.5652854

M3 - Conference contribution

SN - 9781424479924

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BT - 2010 IEEE International Conference on Image Processing: proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2010 IEEE 17th International Conference on Image Processing

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SVD based image manipulation detection

Abstract

Publication series

Conference

Keywords

Access to Document

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Projects

R1118ECI: Centre for Secure Information Technologies (CSIT)

Cite this