Color by Correlation: A Simple, Unifying Framework for Color Constancy
IEEE Transactions on Pattern Analysis and Machine Intelligence
Color constancy from physical principles
Pattern Recognition Letters - Special issue: Colour image processing and analysis
Efficient Graph-Based Image Segmentation
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
Gamut Constrained Illuminant Estimation
International Journal of Computer Vision
Exposing digital forgeries through chromatic aberration
MM&Sec '06 Proceedings of the 8th workshop on Multimedia and security
Robust Detection of Region-Duplication Forgery in Digital Image
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 04
An efficient and robust method for detecting copy-move forgery
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Exposing digital forgeries from JPEG ghosts
IEEE Transactions on Information Forensics and Security
Generalized Gamut Mapping using Image Derivative Structures for Color Constancy
International Journal of Computer Vision
Exposing digital forgeries through specular highlights on the eye
IH'07 Proceedings of the 9th international conference on Information hiding
Physics-based illuminant color estimation as an image semantics clue
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Radiometric calibration from a single image
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Detecting doctored JPEG images via DCT coefficient analysis
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
Exposing digital forgeries by detecting traces of resampling
IEEE Transactions on Signal Processing
Digital camera identification from sensor pattern noise
IEEE Transactions on Information Forensics and Security
Hiding Traces of Resampling in Digital Images
IEEE Transactions on Information Forensics and Security
Exposing photo manipulation with inconsistent reflections
ACM Transactions on Graphics (TOG)
Technical Section: Automatic color realism enhancement for computer generated images
Computers and Graphics
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The goal of blind image forensics is to distinguish original and manipulated images. We propose illumination color as a new indicator for the assessment of image authenticity. Many images exhibit a combination of multiple illuminants (flash photography, mixture of indoor and outdoor lighting, etc.). In the proposed method, the user selects illuminated areas for further investigation. The illuminant colors are locally estimated, effectively decomposing the scene in a map of differently illuminated regions. Inconsistencies in such a map suggest possible image tampering. Our method is physics-based, which implies that the outcome of the estimation can be further constrained if additional knowledge on the scene is available. Experiments show that these illumination maps provide a useful and very general forensics tool for the analysis of color images.