Image tamper detection and classification using support vector machines

HD Knowles, DA Winne, CN Canagarajah, DR Bull

Research output: Contribution to journalArticle (Academic Journal)

9 Citations (Scopus)

Abstract

The use of robust watermarks for attack characterisation is an area of considerable potential which has been largely overlooked to date. The authors extend their earlier work on accurate attack characterisation using a double watermarking technique to include a larger library of attacks. It is shown that the complexity of the double watermarking technique can be reduced with only a very small performance penalty. A further reduction in the algorithm complexity can be achieved by removing the thresholding process from the watermark estimation procedure. Analysis of the nature and location of the characterisation errors for the above methods is also presented.
Translated title of the contributionImage tamper detection and classification using Support Vector Machines
Original languageEnglish
Pages (from-to)322 - 328
Number of pages7
JournalIEE Proceedings-Vision, Image and Signal Processing
Volume151
Issue number4
DOIs
Publication statusPublished - Aug 2004

Bibliographical note

Publisher: Institution of Electrical Engineers (IEE)
Rose publication type: Journal article

Sponsorship: This work is supported by Motorola, the Metropolitan
Police and EPSRC grant GR=M81885.

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