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Image anonymization for PRNU forensics: A set theoretic framework addressing compression resilience
2016
2016 IEEE International Conference on Image Processing (ICIP)
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Image forensics using sensor photo-response nonuniformity (PRNU) provides a powerful method for associating an image with the camera that captured the image. ...
To preserve privacy despite the availability of this powerful tool, we present a new framework for image anonymization. ...
an estimated false acceptance rate of 2.4×10 −5 . ...
doi:10.1109/icip.2016.7533092
dblp:conf/icip/ElliethyS16
fatcat:xvbwfa6zxrbvfnfb3blxxuibpe
A leak in PRNU based source identification? Questioning fingerprint uniqueness
[article]
2020
arXiv
pre-print
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Although the primary cause of high false alarm rates cannot be directly related to specific camera models, firmware nor image contents, it is evident that the effectiveness of PRNU-based source identification ...
Therefore, this paper is to be intended as a call to action for the scientific community rather than a complete treatment of the subject. ...
A threshold of 60 is commonly accepted by the research community since it guarantees a negligible false alarm rate (FAR) [7] , [17] . [24] , [18] . ...
arXiv:2009.04878v1
fatcat:jm33k7luyvhnfg3jn6paoac6ly
A leak in PRNU based source identification. Questioning fingerprint uniqueness
2021
IEEE Access
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It is evident that the effectiveness of PRNU based source identification on the most recent devices must be reconsidered in light of these results. ...
We show that the primary cause of high false alarm rates cannot be directly related to specific camera models, firmware, nor image contents. ...
ACKNOWLEDGMENT This work was partially supported by the Air Force Research Laboratory and by the Defense Advanced Research Projects Agency under Grant HR00112090136, and by the Italian Ministry of Education ...
doi:10.1109/access.2021.3070478
fatcat:nepnw4i2ljfivihibyyw2lnf5y
Mobile Camera Source Identification with SVD
[chapter]
2014
Lecture Notes in Electrical Engineering
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Based on the spectral decomposition technique of Singular Value Decomposition, the method estimates the SPN of each image in terms of its energy level by first transforming the image/signals into a linear ...
The camera reference signatures of the individual cameras are computed from a sample of their respective images and compared with a mixture of image signatures from a set of known camera devices. ...
ACKNOWLEDGMENT We are indebted to the generous support of Willy's World, UK for providing some equipment. ...
doi:10.1007/978-3-319-06773-5_18
fatcat:6yhzarxwqbhw3hh5kl7mu4gzhm
On the SPN Estimation in Image Forensics: A Systematic Empirical Evaluation
2017
IEEE Transactions on Information Forensics and Security
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As a second metric to provide a more complete picture, we evaluate the false positive (or negative) rate at the point where the false positive and false negative rates are equal in the ROC curve, which ...
The PRNU noise appears in every image as a very weak signal, and its reliable estimation is crucial for the success rate of the forensic application. ...
doi:10.1109/tifs.2016.2640938
fatcat:jfloyoohrzctje2nourc5bkuxi
Source Camera Model Identification Using Features from Contaminated Sensor Noise
[chapter]
2016
Lecture Notes in Computer Science
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This paper presents a new approach of camera model identification. ...
It is based on using the noise residual extracted from an image by applying a wavelet-based denoising filter in a machine learning framework. ...
The effectiveness of the method for source camera model identification, was tested on a set of images from the Dresden data-base. ...
doi:10.1007/978-3-319-31960-5_8
fatcat:sej6nk3jmjb5rmf3dalcoqp3de
Web Photo Source Identification based on Neural Enhanced Camera Fingerprint
[article]
2023
arXiv
pre-print
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Source camera identification of web photos aims to establish a reliable linkage from the captured images to their source cameras, and has a broad range of applications, such as image copyright protection ...
for reliable source identification. ...
ACKNOWLEDGMENTS This work is partly supported by R&D Program of DCI Technology and Application Joint Laboratory. ...
arXiv:2302.09228v1
fatcat:f4vmointxje7zpkfmwgglz7ovy
Analysis of denoising filters for photo response non uniformity noise extraction in source camera identification
2009
2009 16th International Conference on Digital Signal Processing
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A theoretical framework and experimental results are provided and discussed. ...
Such a fingerprint can be estimated from multiple images taken by the same camera by means of a denoising filtering operation. ...
In this paper we present a theoretical and experimental comparative analysis of different wavelet denoising filters to estimate the PRNU in order to solve the digital camera identification problem. ...
doi:10.1109/icdsp.2009.5201240
fatcat:3ejum6sw3ve3pddrki7c3qfdzq
Camera model identification based on DCT coefficient statistics
2015
Digital signal processing (Print)
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The goal of this paper is to design a statistical test for the camera model identification problem from JPEG images. ...
The camera model identification problem is cast in the framework of hypothesis testing theory. ...
Fridrich, for the use of the High Performance Computing server, allowing a considerable reduction in execution time of our algorithm on the large image database. ...
doi:10.1016/j.dsp.2015.01.002
fatcat:vcn6vswunnbttbrvvhrshqgczu
A Review of "Camera Attribution Forensic Analyzer in the Encrypted Domain"
[chapter]
2021
Colección Jornadas y Congresos
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Fig. 1 : 1 True Acceptance Rate (TAR) vs. False Alarm Rate (FAR) for 4 different camera devices. ...
Recent results from [2] , [3] show that the estimated PRNU fingerprints leak a considerable amount of information of the images used for extraction. ...
doi:10.18239/jornadas_2021.34.23
fatcat:4uilogtj6nbmrh6n3kqz3j472u
Information Forensics: An Overview of the First Decade
2013
IEEE Access
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for legitimate purposes, and to be able to forensically prove with high confidence when otherwise. ...
As a result, multimedia devices and digital content have become ubiquitous. ...
Detection If the PRNU of an image is forged to match the PRNU of a different camera, the PRNU of the target camera must be estimated from a set of images that the forger has access to. ...
doi:10.1109/access.2013.2260814
fatcat:l3hs7vh2nzakpkihwmkubh24dy
Camera Model Identification Based on the Heteroscedastic Noise Model
2014
IEEE Transactions on Image Processing
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The goal of this paper is to design a statistical test for the camera model identification problem. ...
The camera model identification problem is cast in the framework of hypothesis testing theory. ...
This paper aims to design such a statistical test based on the heteroscedastic noise model for the camera model identification. ...
doi:10.1109/tip.2013.2290596
pmid:24240001
fatcat:f76dxysw4nezfcwlx5au5z5wc4
Vision of the unseen
2011
ACM Computing Surveys
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From this curve, a more thorough understanding of the False Reject Rate (FRR) and False Accept Rate (FAR) can be gained. Also of interest is more comprehensive testing beyond limited camera classes. ...
(false accept and false reject) that the classifier can make. ...
doi:10.1145/1978802.1978805
fatcat:fdd6lebl5zcvlk46ose57uuyja
Inference of a compact representation of sensor fingerprint for source camera identification
2018
Pattern Recognition
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Sensor pattern noise (SPN) is an inherent fingerprint of imaging devices, which provides an effective way for source camera identification (SCI). ...
Based on this concept, we present a framework that formulates a compact SPN representation. ...
Acknowledgments This work is supported by the EU Horizon 2020 -Marie Sklodowska-Curie Actions through the project entitled Computer Vision Enabled Multimedia Forensics and People Identification (Project ...
doi:10.1016/j.patcog.2017.09.027
fatcat:psqwgt4bizbj3etts5dnjxsrsq
Media Forensics and DeepFakes: an overview
[article]
2020
arXiv
pre-print
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Therefore, there is an urgent need for automated tools capable of detecting false multimedia content and avoiding the spread of dangerous false information. ...
With the rapid progress of recent years, techniques that generate and manipulate multimedia content can now guarantee a very advanced level of realism. ...
PRNU-based forgery detection was first proposed in [100] based on two steps: i) the camera PRNU pattern is estimated off-line from a large number of images taken from the camera, and ii) the target image ...
arXiv:2001.06564v1
fatcat:b3izh3hcmrae5frbd2bv3tmlgu
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