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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. ...
We demonstrate the effectiveness of our framework by benchmarking it over a publicly available dataset of images from multiple cameras and comparing against a recently presented alternative method. ...
Another approach for anonymization has also been recently proposed based on seam-carving [10, 11] . ...
doi:10.1109/icip.2016.7533092
dblp:conf/icip/ElliethyS16
fatcat:xvbwfa6zxrbvfnfb3blxxuibpe
SSS-PRNU: Privacy-Preserving PRNU Based Camera Attribution using Shamir Secret Sharing
[article]
2021
arXiv
pre-print
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Experiment results validate the feasibility of the proposed scheme that provides a secure framework for PRNU based source camera attribution. ...
In today's scenario, where millions and millions of images are uploaded every hour, it is very easy to compute this unique PRNU pattern from a couple of shared images on social profiles. ...
Forced seam carving is a process used for irreversibility citetaspinar2017prnu. ...
arXiv:2106.07029v1
fatcat:mfshkyerfrb6dcqebyayeidzxq
Source Camera Attribution of Multi-Format Devices
[article]
2020
arXiv
pre-print
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Photo Response Non-Uniformity (PRNU) based source camera attribution is an effective method to determine the origin camera of visual media (an image or a video). ...
Based on the insights drawn from the different techniques used by cameras and the RoA analysis, the paper proposes an algorithm for matching the source of a video with an image and vice versa. ...
In the case of seam carving, it was subsequently shown that when multiple seam carved images are available from the same camera, successful verification could still be done by increasing alignment between ...
arXiv:1904.01533v2
fatcat:eqwhh4gdwjhojlkh2zfiizmcvu
Noiseprint: a CNN-based camera model fingerprint
[article]
2018
arXiv
pre-print
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This is obtained by means of a Siamese network, which is trained with pairs of image patches coming from the same (label +1) or different (label -1) cameras. ...
Forensic analyses of digital images rely heavily on the traces of in-camera and out-camera processes left on the acquired images. Such traces represent a sort of camera fingerprint. ...
ACKNOWLEDGMENT This material is based on research sponsored by the Air Force Research Laboratory and the Defense Advanced Research Projects Agency under agreement number FA8750-16-2-0204. ...
arXiv:1808.08396v1
fatcat:gfnb2g4iszbiblb4zafuwsycrq
Camera Fingerprint Extraction via Spatial Domain Averaged Frames
[article]
2019
arXiv
pre-print
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Photo Response Non-Uniformity (PRNU) based camera attribution is an effective method to determine the source camera of visual media (an image or a video). ...
To apply this method, images or videos need to be obtained from a camera to create a "camera fingerprint" which then can be compared against the PRNU of the query media whose origin is under question. ...
For example, a seam carved video contains many partially misaligned frames with its source camera. ...
arXiv:1909.04573v1
fatcat:xywoyarpybes3bzqnygnx5im5a
PRNU Anonymous Algorithm Used for Privacy Protection in Biometric Authentication Systems
2023
International Journal on Semantic Web and Information Systems (IJSWIS)
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In this paper, researchers propose a PRNU anonymity method based on image segmentation to cut the relationship between the image and its source camera. ...
The photo response non-uniformity (PRNU) is used to connect an image to its source sensor. ...
Bayram et al. (2013) proposed an algorithm based on seam carving to change the pixel position, but this method ignored the influence of the high-gradient image region on the PRNU registration. ...
doi:10.4018/ijswis.317928
fatcat:xu6wxafdlzas5pxia63zui3j7u
Linear Filter Kernel Estimation Based on Digital Camera Sensor Noise
2017
IS&T International Symposium on Electronic Imaging Science and Technology
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We study linear filter kernel estimation from processed digital images under the assumption that the image's source camera is known. ...
extracted from the filtered query image as a viable domain to perform filter estimation. ...
PRNU-based Linear Filter Kernel Estimation We base the estimation of the kernel h from a query image y = x * h + n on the following assumptions: 1. the source camera of the clean image x is known; 2. the ...
doi:10.2352/issn.2470-1173.2017.7.mwsf-332
fatcat:pa3mzu7tojedvjtsu2esmjkxzi
Detection of Face Morphing Attacks based on PRNU Analysis
2019
IEEE Transactions on Biometrics Behavior and Identity Science
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More specifically, spatial and spectral features extracted from PRNU patterns across image cells are analyzed. ...
A reliable morphing attack detection from a single face image remains a research challenge since cameras and morphing techniques used by an attacker are unknown at the time of classification. ...
image database [98] , which offers images from multiple cameras and even multiple instances of the same camera model. ...
doi:10.1109/tbiom.2019.2942395
fatcat:sftehjbguzfyjdpbhv7k46taky
DIPPAS: a deep image prior PRNU anonymization scheme
2022
EURASIP Journal on Information Security
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Instead, it is optimized to reconstruct output images from the original image under analysis itself. ...
In this paper, we devise a methodology for suppressing such a trace from natural images without a significant impact on image quality. ...
Alternatively, [11] applies seam-carving to change pixel locations, and [12] exploits patch-match techniques to scramble pixel positions. ...
doi:10.1186/s13635-022-00128-7
fatcat:yueqbitnejbtfbl3spzhszsu5i
Source camera identification based on coupling coding and adaptive filter
2019
IEEE Access
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To better extract camera attributes, we propose an adaptive filter. ...
Different from the common multi-task method, we obtain the multi-class classification result by just one single label classification. ...
Camera forgery methods include Seam Carving, Fingerprint Copying, and Adaptive PRNU Denoising, etc. Sameer et al. [26] proposed a method based on deep learning to detect camera forgery. Bondi et al. ...
doi:10.1109/access.2019.2959627
fatcat:vumdqw5bojc5ffaq7mfzi2etnq
Spoofing PRNU Patterns of Iris Sensors while Preserving Iris Recognition
[article]
2018
arXiv
pre-print
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The principle of Photo Response Non-Uniformity (PRNU) is used to link an image with its source, i.e., the sensor that produced it. ...
In this regard, we develop an image perturbation routine that iteratively modifies blocks of pixels in the original iris image such that its PRNU pattern approaches that of a target sensor. ...
This material is based upon work supported by the National Science Foundation under Grant Number 1618518. ...
arXiv:1808.10765v2
fatcat:oas5n4gfcfdu5poek347uarc6e
Conditional Adversarial Camera Model Anonymization
[article]
2020
arXiv
pre-print
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The model of camera that was used to capture a particular photographic image (model attribution) is typically inferred from high-frequency model-specific artifacts present within the image. ...
We augment the objective with the loss from a pre-trained dual-stream model attribution classifier, which constrains the generative network to transform the full range of artifacts. ...
Dirik, A.E., Sencar, H.T., Memon, N.: Analysis of seam-carving-based anonymization of images against prnu noise pattern-based source attribution. ...
arXiv:2002.07798v3
fatcat:u7a7t7i67ndznny4bse6rw4ize
DIPPAS: A Deep Image Prior PRNU Anonymization Scheme
[article]
2021
arXiv
pre-print
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2020 pre-print arXiv:2012.03581v1 fatcat:guew2l2vynh7fajrpniqksnwb4
Instead, it is optimized to reconstruct the PRNU-free image from the original image under analysis itself. ...
In this paper, we devise a methodology for suppressing such a trace from natural images without significant impact on image quality. ...
Even if an analyst only use edges for PRNU-based attribution, the image would look anonymized.
VI. ...
arXiv:2012.03581v2
fatcat:smo2elzrtfd2hhl67547zjgahm
Remote Check Truncation Systems: Vulnerability Analysis and Countermeasures
2020
IEEE Access
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The proposed countermeasures rely on tamper detection in digital images and expert-system based decision fusion. The effectiveness of the proposed framework is evaluated using tampered check images. ...
Shifting trust from a human teller or an automated teller machine (ATM) to a smart device (cell phone) provides new attack surfaces. ...
splicing), seam carving, etc ...
doi:10.1109/access.2020.2982620
fatcat:uegjeqbj5bhfronpxu7kjg7ynq
Overview of Image Inpainting and Forensic Technology
2022
Security and Communication Networks
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With the progress of image processing theory, digital image inpainting technology has also developed rapidly. It not only enhances the image expression but also provides tools for image forgery. ...
to identify such forged images. ...
[98] proposed a hybrid detection method based on large-scale feature mining. Taspinar et al. [106] detected the tampered image with seam carving using the PRNU feature of the camera. Liu et al. ...
doi:10.1155/2022/9291971
doaj:9085f6d15bc64d13acd70f636181bf23
fatcat:pg5ncxzngjblzl42bstp3ykxpi
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