Improvements on sensor noise based source camera identification

Y. Sutcu, S. Bayram, H. T. Sencar, N. Memon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In [1], a novel method for identifying the source camera of a digital image is proposed. The method is based on first extracting imaging sensor's pattern noise from many images and later verifying its presence in a given image through a correlative procedure. In this paper, we investigate the performance of this method in a more realistic setting and provide results concerning its detection performance. To improve the applicability of the method as a forensic tool, we propose an enhancement over it by also verifying that class properties of the image in question are in agreement with those of the camera. For this purpose, we identify and compare characteristics due to demosaicing operation. Our results show that the enhanced method offers a significant improvement in the performance.

Original languageEnglish (US)
Title of host publicationProceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007
PublisherIEEE Computer Society
Pages24-27
Number of pages4
ISBN (Print)1424410177, 9781424410170
DOIs
StatePublished - 2007
EventIEEE International Conference onMultimedia and Expo, ICME 2007 - Beijing, China
Duration: Jul 2 2007Jul 5 2007

Publication series

NameProceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007

Other

OtherIEEE International Conference onMultimedia and Expo, ICME 2007
CountryChina
CityBeijing
Period7/2/077/5/07

Keywords

  • Demosaicing artifacts
  • Image forensics
  • Pattern noise
  • Source digital camera identification

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Software

Fingerprint Dive into the research topics of 'Improvements on sensor noise based source camera identification'. Together they form a unique fingerprint.

Cite this