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Call No.	Ph.D. 2005
Author	Lyu, Siwei.
Title	Natural image statistics for digital image forensics.
Date	2005
Abstract	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 in digital image forensics: (1) differentiating photographic images from computer-generated 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.
Description	xvi, 161 leaves : ill. 28 cm.
Format	application/pdf
Advisor	Hany Farid.
Subject	Image processing -- Statistical methods. Image processing -- Digital techniques. Images
College	Dartmouth College -- Department of Computer Science.
Issuing Body	Dartmouth Dissertations are made available through the Dartmouth Digital Library.
Degree	Thesis (Ph.D.)--Dartmouth College.
Copyright	All rights reserved. No part of this book may be reproduced in any form by any electronic or mechanical means without permission in writing from the author.
DOI	http://dx.doi.org/10.1349/ddlp.95

Title	Page 1
Format	application/pdf
Issuing Body	Dartmouth Dissertations are made available through the Dartmouth Digital Library.
Degree	Thesis (Ph.D.)--Dartmouth College.
Full Text	Natural Image Statistics for Digital Image Forensics A Thesis Submitted to the Faculty in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Computer Science by Siwei Lyu DARTMOUTH COLLEGE Hanover, New Hampshire August 17, 2005 Examining Committee: (chair) Hany Farid, Ph.D. George V. Cybenko, Ph.D. Daniel Rockmore, Ph.D. William T. Freeman, Ph.D. Charles K. Barlowe, Ph.D. Dean of Graduate Studies

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Natural image statistics for digital image forensics.

Natural image statistics for digital image forensics.