@inproceedings{e1f5ddabc7984bb5baa1a49cca433c22,
title = "Camera identification from cropped and sealed images",
abstract = "In this paper, we extend our camera identification technology based on sensor noise to a more general setting when the image under investigation has been simultaneously cropped and scaled. The sensor fingerprint detection is formulated using hypothesis testing as a two-channel problem and a detector is derived using the generalized likelihood ratio test. A brute force search is proposed to find the scaling factor which is then refined in a detailed search. The cropping parameters are determined from the maximum of the normalized cross-correlation between two signals. The accuracy and limitations of the proposed technique are tested on images that underwent a wide range of cropping and scaling, including images that were acquired by digital zoom. Additionally, we demonstrate that sensor noise can be used as a template to reverse-engineer in-camera geometrical processing as well as recover from later geometrical transformations, thus offering a possible application for re-synchronizing in digital watermark detection.",
keywords = "Camera identification, Digital forensic, Photo-response non-uniformity",
author = "Miroslav Goljan and Jessica Fridrich",
year = "2008",
doi = "10.1117/12.766732",
language = "English",
isbn = "9780819469915",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "Proceedings of SPIE-IS and T Electronic Imaging - Security, Forensics, Steganography, and Watermarking of Multimedia Contents X",
note = "Security, Forensics, Steganography, and Watermarking of Multimedia Contents X ; Conference date: 28-01-2008 Through 30-01-2008",
}