Joined: 20 Jun 2012
|Posted: 06/27/2012, 05:32 pm Post subject: Determining Digital Image Origin Using Sensor Imperfections
|"In this paper, we demonstrate that it is possible to use the sensor’s pattern noise for digital camera identification from images. The pattern noise is extracted from the images using a wavelet-based de-noising filter. For each camera under investigation, we first determine its reference pattern, which serves as a unique identification fingerprint.
This could be done using the process of flat-fielding, if we have the camera in possession, or by averaging the noise obtained from multiple images, which is the option taken in this paper.
To identify the camera from a given image, we consider the reference pattern noise as a high-frequency spread spectrum watermark, whose presence in the image is established using a correlation detector. Using this approach, we were able to identify the correct camera out of 9 cameras without a single misclassification for several thousand images.
Furthermore, it is possible to perform reliable identification even from images that underwent subsequent JPEG compression and/or resizing. These claims are supported by experiments on 9 different cameras including two cameras of exactly the same model."
Jan Lukáš, Jessica Fridrich, and Miroslav Goljan
Department of Electrical and Computer Engineering
SUNY Binghamton, Binghamton, NY 13902-6000
Read and download the whole article here