A Survey of Passive Image Tampering Detection
IWDW '09 Proceedings of the 8th International Workshop on Digital Watermarking
Intrinsic sensor noise features for forensic analysis on scanners and scanned images
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
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
IEEE Transactions on Information Forensics and Security
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
Detection of tampering inconsistencies on mobile photos
IWDW'10 Proceedings of the 9th international conference on Digital watermarking
Robust copy-move image forgery detection using undecimated wavelets and Zernike moments
Proceedings of the Third International Conference on Internet Multimedia Computing and Service
Measuring the statistical correlation inconsistencies in mobile images for tamper detection
Transactions on Data Hiding and Multimedia Security VII
IWDW'11 Proceedings of the 10th international conference on Digital-Forensics and Watermarking
A novel video inter-frame forgery model detection scheme based on optical flow consistency
IWDW'12 Proceedings of the 11th international conference on Digital Forensics and Watermaking
Robust median filtering detection based on filtered residual
IWDW'12 Proceedings of the 11th international conference on Digital Forensics and Watermaking
Expert Systems with Applications: An International Journal
Hi-index | 0.00 |
Digital imaging has experienced tremendous growth in recent decades, and digital camera images have been used in a growing number of applications. With such increasing popularity and the availability of low-cost image editing software, the integrity of digital image content can no longer be taken for granted. This paper introduces a new methodology for the forensic analysis of digital camera images. The proposed method is based on the observation that many processing operations, both inside and outside acquisition devices, leave distinct intrinsic traces on digital images, and these intrinsic fingerprints can be identified and employed to verify the integrity of digital data. The intrinsic fingerprints of the various in-camera processing operations can be estimated through a detailed imaging model and its component analysis. Further processing applied to the camera captured image is modelled as a manipulation filter, for which a blind deconvolution technique is applied to obtain a linear time-invariant approximation and to estimate the intrinsic fingerprints associated with these postcamera operations. The absence of camera-imposed fingerprints from a test image indicates that the test image is not a camera output and is possibly generated by other image production processes. Any change or inconsistencies among the estimated camera-imposed fingerprints, or the presence of new types of fingerprints suggest that the image has undergone some kind of processing after the initial capture, such as tampering or steganographic embedding. Through analysis and extensive experimental studies, this paper demonstrates the effectiveness of the proposed framework for nonintrusive digital image forensics.