SVD based image manipulation detection

Gokhan Gul, Ismail Avcibas, Fatih Kurugollu

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publication2010 IEEE International Conference on Image Processing: proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1765-1768
Number of pages4
ISBN (Electronic)9781424479948, 9781424479931
ISBN (Print)9781424479924
DOIs
Publication statusPublished - 03 Dec 2010
Event2010 IEEE 17th International Conference on Image Processing - Hong Kong, Hong Kong
Duration: 26 Sept 201029 Sept 2010

Publication series

NameIEEE International Conference on Image Processing
PublisherIEEE
ISSN (Print)1522-4880
ISSN (Electronic)2381-8549

Conference

Conference2010 IEEE 17th International Conference on Image Processing
Country/TerritoryHong Kong
CityHong Kong
Period26/09/201029/09/2010

Keywords

  • SVD
  • image manipulation detection
  • singular value decomposition

Fingerprint

Dive into the research topics of 'SVD based image manipulation detection'. Together they form a unique fingerprint.

Cite this