Study of Image Splicing Detection

Authors:
Zhen Zhang;Ying Zhou;Jiquan Kang;Yuan Ren
Affiliations:
Institute of Information Engineering, Information Engineering University, Zhengzhou, China 450002 and School of Electrical Engineering, Zhengzhou University, Zhengzhou, China 450001;College of Materials Science and Engineering, Zhengzhou University, Zhengzhou, China 450001;School of Electrical Engineering, Zhengzhou University, Zhengzhou, China 450001;School of Electrical Engineering, Zhengzhou University, Zhengzhou, China 450001
Venue:
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Theoretical and Methodological Issues
Year:
2008

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Abstract

With the advent of digital technology, digital image has gradually taken the place of the original analog photograph, and the forgery of digital image has become more and more easy and indiscoverable. Image splicing is a commonly used technique in image tampering. In this paper, we simply introduce the definition of image splicing and some methods of image splicing detection, mainly including the detection based on steganalysis model, the detection based on Hilbert-Huang transform (HHT) and moments of characteristic functions (CF) with wavelet decomposition. We focus on discussing our proposed approach based on image quality metrics (IQMs) and moment features. Especially we analyze the model creation and the extraction of features in digital image. In addition, we compare these approaches and analyze the future works of digital image forensics.