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Previous research showed that camera specific noise patterns, so-calledPRNU-patterns, are extracted from images and related images could be found. Inthis particular research the focus is on grouping images from a database, basedon a shared noise pattern as an identification method for cameras. Using themethod as described in this article, groups of images, created using the samecamera, could be linked from a large database of images. Using MATLABprogramming, relevant image noise patterns are extracted from images muchquicker than common methods by the use of faster noise extraction filters andimprovements to reduce the calculation costs. Relating noise patterns, with acorrelation above a certain threshold value, can quickly be matched. Hereby,from a database of images, groups of relating images could be linked and themethod could be used to scan a large number of images for suspect noisepatterns.

Camera identification by grouping images from database, based on shared noise patterns