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RECOMB '01 Proceedings of the fifth annual international conference on Computational biology
Contextual Priming for Object Detection
International Journal of Computer Vision
Determining the Camera Response from Images: What Is Knowable?
IEEE Transactions on Pattern Analysis and Machine Intelligence
Modeling the Space of Camera Response Functions
IEEE Transactions on Pattern Analysis and Machine Intelligence
High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting (The Morgan Kaufmann Series in Computer Graphics)
Computer Vision and Image Understanding
Digital image source coder forensics via intrinsic fingerprints
IEEE Transactions on Information Forensics and Security
Simple gamma correction for fringe projection profilometry system
ACM SIGGRAPH 2010 Posters
Forensic detection of image manipulation using statistical intrinsic fingerprints
IEEE Transactions on Information Forensics and Security
Radiometric calibration from a single image
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Camera response functions for image forensics: an automatic algorithm for splicing detection
IEEE Transactions on Information Forensics and Security
Detection and tracking of large number of targets in wide area surveillance
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
Statistical tools for digital forensics
IH'04 Proceedings of the 6th international conference on Information Hiding
Enhancement of bright video features for HDR displays
EGSR'08 Proceedings of the Nineteenth Eurographics conference on Rendering
A theoretical analysis of camera response functions in image deblurring
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VII
Robust real-time detection of multi-color markers on a cell phone
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Towards finger-vein image restoration and enhancement for finger-vein recognition
Information Sciences: an International Journal
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The luminance nonlinearity introduced by many imaging devices can often be described by a simple point-wise operation (gamma correction). This paper presents a technique for blindly estimating the amount of gamma correction in the absence of any calibration information or knowledge of the imaging device. The basic approach exploits the fact that gamma correction introduces specific higher-order correlations in the frequency domain. These correlations can be detected using tools from polyspectral analysis. The amount of gamma correction is then estimated by minimizing these correlations