Source identification of camera phones using SVD

Ahmad Ryad Soobhany, K. P. Lam, Peter Fletcher, David Collins

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

6 Citations (Scopus)

Abstract

We present a novel method to extract the sensor pattern noise (SPN) of digital images and associate them with their respective source camera phones. The method first estimates the photo response non-uniformity (PRNU) of each image by means of its energy level and then converts it to an additive noise to facilitate extraction using Singular Value Decomposition (SVD). The latter is a spectral decomposition technique that separates the PRNU from the signal subspace. The camera reference signatures of the individual cameras are computed from a sample of their respective images and compared with a mixture of image signatures from a set of known camera devices. Our studies show that it is possible to determine the source device of digital images from camera phones using such method of signature extraction, with encouraging results.

Original languageEnglish
Title of host publication2013 IEEE International Conference on Image Processing
PublisherIEEE
Pages4497-4501
Number of pages5
ISBN (Electronic)9781479923410
DOIs
Publication statusPublished - 13 Feb 2014
Event20th IEEE International Conference on Image Processing 2013 - Melbourne, Australia
Duration: 15 Sept 201318 Sept 2013

Conference

Conference20th IEEE International Conference on Image Processing 2013
Abbreviated titleICIP 2013
Country/TerritoryAustralia
CityMelbourne
Period15/09/1318/09/13

Keywords

  • Digital Image Forensics
  • PRNU
  • Sensor pattern noise
  • Singular Value Decomposition
  • Source Identification

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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