Natural Image Statistics in Digital Image Forensics [chapter]

Siwei Lyu
2012 Digital Image Forensics  
Natural Image Statistics for Digital Image Forensics Siwei Lyu We describe a set of natural image statistics that are built upon two multi-scale image decompositions, the quadrature mirror filter pyramid decomposition and the local angular harmonic decomposition. These image statistics consist of first-and higher-order statistics that capture certain statistical regularities of natural images. We propose to apply these image statistics, together with classification techniques, to three problems
more » ... , to three problems in digital image forensics: (1) differentiating photographic images from computergenerated photorealistic images, (2) generic steganalysis; (3) rebroadcast image detection. We also apply these image statistics to the traditional art authentication for forgery detection and identification of artists in an art work. For each application we show the effectiveness of these image statistics and analyze their sensitivity and robustness. ii Acknowledgments First and foremost I would like to thank my advisor, Dr. Hany Farid, for his advice, guidance and support over the years, to which work described in this thesis is attributed. I would also like to thank all my professors at Dartmouth College, and my wonderful colleagues and friends. In particular, I would like to thank:
doi:10.1007/978-1-4614-0757-7_8 fatcat:lkqex5gjhzfzziiozqsmni6hku