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Photo Response Non-Uniformity (PRNU) based camera attribution is an effectivemethod to determine the source camera of visual media (an image or a video). Toapply this method, images or videos need to be obtained from a camera to createa "camera fingerprint" which then can be compared against the PRNU of the querymedia whose origin is under question. The fingerprint extraction process can betime-consuming when a large number of video frames or images have to bedenoised. This may need to be done when the individual images have beensubjected to high compression or other geometric processing such as videostabilization. This paper investigates a simple, yet effective and efficienttechnique to create a camera fingerprint when so many still images need to bedenoised. The technique utilizes Spatial Domain Averaged (SDA) frames. AnSDA-frame is the arithmetic mean of multiple still images. When it is used forfingerprint extraction, the number of denoising operations can be significantlydecreased with little or no performance loss. Experimental results show thatthe proposed method can work more than 50 times faster than conventionalmethods while providing similar matching results.

Camera Fingerprint Extraction via Spatial Domain Averaged Frames