Camera Fingerprint Extraction via Spatial Domain Averaged Frames

Samet Taspinar, Manoranjan Mohanty, Nasir Memon

Research output: Contribution to journalArticlepeer-review


Photo Response Non-Uniformity (PRNU) based camera attribution is an effective method to determine the source camera of a visual object (an image or a video). To apply this method, images or videos need to be obtained from a camera to create a 'camera fingerprint' which then can be compared against the PRNU of the query media whose origin is under question. The fingerprint extraction process can be time consuming when a large number of video frames or images have to be denoised. This may need to be done when the individual images have been subjected to high compression or other geometric processing such as video stabilization. This paper investigates a simple, yet effective and efficient technique to create a camera fingerprint when so many still images need to be denoised. The technique utilizes Spatial Domain Averaged (SDA) frames. An SDA-frame is the arithmetic mean of multiple still images. When it is used for fingerprint extraction, the number of denoising operations can be significantly decreased with little or no performance loss. Experimental results show that the proposed method can work more than 50 times faster than conventional methods while providing similar matching results.

Original languageEnglish (US)
Article number9056806
Pages (from-to)3270-3282
Number of pages13
JournalIEEE Transactions on Information Forensics and Security
StatePublished - 2020


  • Camera fingerprint extraction
  • Image forensics
  • PRNU
  • Video forensics

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Computer Networks and Communications


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