Identifying digital cameras using CFA interpolation

Sevinc Bayram, Husrev Sencar, Nasir Memon

Research output: Contribution to journalArticle

Abstract

In an earlier work [4], we proposed a technique for identifying digital camera models based on trace evidence left by their proprietary interpolation algorithms. This work improves on our previous approach by incorporating methods to better detect interpolation artifacts in smooth image parts. To identify the source camera model of a digital image, new features that can detect traces of low-order interpolation are introduced and used in conjunction with a support vector machine based multi-class classifier. Experimental results are presented for source camera identification from among multiple digital camera models.

Original languageEnglish (US)
Pages (from-to)289-299
Number of pages11
JournalIFIP International Federation for Information Processing
Volume222
StatePublished - 2006

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Interpolation
Support vector machine
Classifier

Keywords

  • Color filter arrays
  • Digital cameras
  • Image forensics
  • Interpolation

ASJC Scopus subject areas

  • Information Systems and Management

Cite this

Identifying digital cameras using CFA interpolation. / Bayram, Sevinc; Sencar, Husrev; Memon, Nasir.

In: IFIP International Federation for Information Processing, Vol. 222, 2006, p. 289-299.

Research output: Contribution to journalArticle

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