A direct method for locating the focus of expansion
Computer Vision, Graphics, and Image Processing
The nature of statistical learning theory
The nature of statistical learning theory
Performance evaluation in content-based image retrieval: overview and proposals
Pattern Recognition Letters - Special issue on image/video indexing and retrieval
Digital Image Processing
Indoor-Outdoor Image Classification
CAIVD '98 Proceedings of the 1998 International Workshop on Content-Based Access of Image and Video Databases (CAIVD '98)
Exposing digital forgeries by detecting inconsistencies in lighting
MM&Sec '05 Proceedings of the 7th workshop on Multimedia and security
Exposing digital forgeries in video by detecting double MPEG compression
MM&Sec '06 Proceedings of the 8th workshop on Multimedia and security
Exposing digital forgeries through chromatic aberration
MM&Sec '06 Proceedings of the 8th workshop on Multimedia and security
How realistic is photorealistic?
IEEE Transactions on Signal Processing
Exposing digital forgeries in color filter array interpolated images
IEEE Transactions on Signal Processing - Part II
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A new approach to detecting forgery in digital photographs is suggested. The method does not necessitate adding data to the image (such as a Digital Watermark) nor require other images for comparison or training. The fundamental assumption in the presented approach is the notion that image features arising from the image acquisition process itself or due to the physical structure and characteristics of digital cameras, are inherent proof of authenticity and they are sensitive to image manipulation as well as being difficult to forge synthetically. Typically, such features do not affect image content nor quality and are often invisible to the inexperienced eye. The approach presented in this work is based on the effects introduced in the acquired image by the optical and sensing systems of the camera. Specifically, it exploits image artifacts that are due to chromatic aberrations as indicators for evaluating image authenticity.