Survey of Scanner and Printer Forensics at Purdue University
IWCF '08 Proceedings of the 2nd international workshop on Computational Forensics
Watermarking of Raw Digital Images in Camera Firmware: Embedding and Detection
PSIVT '09 Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology
Additive spread-spectrum watermark detection in demosaicked images
Proceedings of the 11th ACM workshop on Multimedia and security
Multimedia Forensics Is Not Computer Forensics
IWCF '09 Proceedings of the 3rd International Workshop on Computational Forensics
Using Sensor Noise to Identify Low Resolution Compressed Videos from YouTube
IWCF '09 Proceedings of the 3rd International Workshop on Computational Forensics
A Survey of Passive Image Tampering Detection
IWDW '09 Proceedings of the 8th International Workshop on Digital Watermarking
Clipped noisy images: Heteroskedastic modeling and practical denoising
Signal Processing
Scanner identification using feature-based processing and analysis
IEEE Transactions on Information Forensics and Security
DSP'09 Proceedings of the 16th international conference on Digital Signal Processing
Accurate detection of demosaicing regularity for digital image forensics
IEEE Transactions on Information Forensics and Security - Special issue on electronic voting
Image tamper detection based on demosaicing artifacts
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Device temporal forensics: an information theoretic approach
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Source camera identification using enahnced sensor pattern noise
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
A hybrid model for digital camera source identification
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Source camera identification using enhanced sensor pattern noise
IEEE Transactions on Information Forensics and Security
A bibliography on blind methods for identifying image forgery
Image Communication
Estimating vignetting function from a single image for image authentication
Proceedings of the 12th ACM workshop on Multimedia and security
Forensic detection of image manipulation using statistical intrinsic fingerprints
IEEE Transactions on Information Forensics and Security
Detecting and extracting the photo composites using planar homography and graph cut
IEEE Transactions on Information Forensics and Security
Building fingerprints with information from three color bands for source camera identification
Proceedings of the 2nd ACM workshop on Multimedia in forensics, security and intelligence
On the influence of denoising in PRNU based forgery detection
Proceedings of the 2nd ACM workshop on Multimedia in forensics, security and intelligence
A novel multi-size block benford's law scheme for printer identification
PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
Camera response functions for image forensics: an automatic algorithm for splicing detection
IEEE Transactions on Information Forensics and Security
Region duplication detection using image feature matching
IEEE Transactions on Information Forensics and Security
Digital image forensics: a booklet for beginners
Multimedia Tools and Applications
Verification of video source camera competition (CAMCOM 2010)
ICPR'10 Proceedings of the 20th International conference on Recognizing patterns in signals, speech, images, and videos
Detection of tampering inconsistencies on mobile photos
IWDW'10 Proceedings of the 9th international conference on Digital watermarking
Exposing image forgery with blind noise estimation
Proceedings of the thirteenth ACM multimedia workshop on Multimedia and security
Robust copy-move image forgery detection using undecimated wavelets and Zernike moments
Proceedings of the Third International Conference on Internet Multimedia Computing and Service
A non-intrusive method for copy-move forgery detection
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part II
Computer Standards & Interfaces
Measuring the statistical correlation inconsistencies in mobile images for tamper detection
Transactions on Data Hiding and Multimedia Security VII
Source video camera identification for multiply compressed videos originating from YouTube
Digital Investigation: The International Journal of Digital Forensics & Incident Response
Unexpected artefacts in PRNU-based camera identification: a 'Dresden Image Database' case-study
Proceedings of the on Multimedia and security
Camera model identification based on the characteristic of CFA and interpolation
IWDW'11 Proceedings of the 10th international conference on Digital-Forensics and Watermarking
Blind detection of digital forgery image based on the edge width
IScIDE'11 Proceedings of the Second Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
A comparative analysis of forgery detection algorithms
SSPR'12/SPR'12 Proceedings of the 2012 Joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition
Decomposed PRNU Library for Forensics on Photos
International Journal of Digital Library Systems
Digital Image Authentication: A Review
International Journal of Digital Library Systems
A Survey of Digital Forensic Techniques for Digital Libraries
International Journal of Digital Library Systems
Open set source camera attribution and device linking
Pattern Recognition Letters
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In this paper, we provide a unified framework for identifying the source digital camera from its images and for revealing digitally altered images using photo-response nonuniformity noise (PRNU), which is a unique stochastic fingerprint of imaging sensors. The PRNU is obtained using a maximum-likelihood estimator derived from a simplified model of the sensor output. Both digital forensics tasks are then achieved by detecting the presence of sensor PRNU in specific regions of the image under investigation. The detection is formulated as a hypothesis testing problem. The statistical distribution of the optimal test statistics is obtained using a predictor of the test statistics on small image blocks. The predictor enables more accurate and meaningful estimation of probabilities of false rejection of a correct camera and missed detection of a tampered region. We also include a benchmark implementation of this framework and detailed experimental validation. The robustness of the proposed forensic methods is tested on common image processing, such as JPEG compression, gamma correction, resizing, and denoising.