Image forensics of high dynamic range imaging

Authors:
Philip J. Bateman;Anthony T. S. Ho;Johann A. Briffa
Affiliations:
Department of Computing, University of Surrey, Guildford, Surrey, UK;Department of Computing, University of Surrey, Guildford, Surrey, UK;Department of Computing, University of Surrey, Guildford, Surrey, UK
Venue:
IWDW'11 Proceedings of the 10th international conference on Digital-Forensics and Watermarking
Year:
2011

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Abstract

This paper introduces a novel area of research to the Image Forensic field; identifying High Dynamic Range (HDR) digital images. We create a test set of images that are a combination of HDR and standard images of similar scenes. We also propose a scheme to isolate fingerprints of the HDR-induced haloing artifact at "strong" edge positions, and present experimental results in extracting suitable features for a successful SVM-driven classification of edges from HDR and standard images. A majority vote of this output is then utilised to complete a highly accurate classification system.