Natural Image Statistics in Digital Image Forensics

  • Siwei LyuEmail author


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.


Cover Image Natural Image Linear Predictor Synthetic Image Stego Image 
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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  1. 1.AlbanyUSA

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