Natural image statistics in digital image forensics

Siwei Lyu

doi:10.1007/978-1-4614-0757-7_8

Natural image statistics in digital image forensics

Siwei Lyu

Department of Computer Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

9 Scopus citations

Abstract

The fundamental problem in digital image forensics is to differentiate tampered images from those of untampered ones. A general solution framework can be obtained using the statistical properties of natural photographic images. In the recent years, applications of natural image statistics in digital image forensics have witnessed rapid developments and led to promising results. In this chapter, we provide an overview of recent developments of natural image statistics, and focus on three applications of natural image statistics in digital image forensics as (1) differentiating photographic images from computer-generated photorealistic images, (2) generic steganalysis; (3) rebroadcast image detection.

Original language	English
Title of host publication	Digital Image Forensics
Subtitle of host publication	There is More to a Picture than Meets the Eye
Publisher	Springer New York
Pages	239-256
Number of pages	18
Volume	9781461407577
ISBN (Electronic)	9781461407577
ISBN (Print)	1461407567, 9781461407560
DOIs	https://doi.org/10.1007/978-1-4614-0757-7_8
State	Published - Nov 1 2013

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10.1007/978-1-4614-0757-7_8

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Natural image statistics in digital image forensics

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