Alignment by Maximization of Mutual Information
International Journal of Computer Vision
Exposing digital forgeries by detecting inconsistencies in lighting
MM&Sec '05 Proceedings of the 7th workshop on Multimedia and security
Exposing digital forgeries by detecting traces of resampling
IEEE Transactions on Signal Processing
Exposing digital forgeries in color filter array interpolated images
IEEE Transactions on Signal Processing - Part II
Differentiation of discrete multidimensional signals
IEEE Transactions on Image Processing
Detecting filtered cloning in digital images
Proceedings of the 9th workshop on Multimedia & security
A natural image model approach to splicing detection
Proceedings of the 9th workshop on Multimedia & security
Can we trust digital image forensics?
Proceedings of the 15th international conference on Multimedia
Detecting Video Forgeries Based on Noise Characteristics
PSIVT '09 Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology
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
Fast copy-move forgery detection
WSEAS Transactions on Signal Processing
Exposing digital forgeries from JPEG ghosts
IEEE Transactions on Information Forensics and Security
Hash-based identification of sparse image tampering
IEEE Transactions on Image Processing
Tamper hiding: defeating image forensics
IH'07 Proceedings of the 9th international conference on Information hiding
Image tamper detection based on demosaicing artifacts
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
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 forgery from static-scene video based on inconsistency in noise level functions
IEEE Transactions on Information Forensics and Security
Scene illumination as an indicator of image manipulation
IH'10 Proceedings of the 12th international conference on Information hiding
Digital image forensics: a booklet for beginners
Multimedia Tools and Applications
Digital Image Forgery Detection Based on Lens and Sensor Aberration
International Journal of Computer Vision
Exposing photo manipulation with inconsistent reflections
ACM Transactions on Graphics (TOG)
A forgery detection algorithm for exemplar-based inpainting images using multi-region relation
Image and Vision Computing
Hi-index | 0.00 |
Virtually all optical imaging systems introduce a variety of aberrations into an image. Chromatic aberration, for example, results from the failure of an optical system to perfectly focus light of different wavelengths. Lateral chromatic aberration manifests itself, to a first-order approximation, as an expansion/contraction of color channels with respect to one another. When tampering with an image, this aberration is often disturbed and fails to be consistent across the image. We describe a computational technique for automatically estimating lateral chromatic aberration and show its efficacy in detecting digital tampering.