Detection of image splicing based on Hilbert-Huang transform and moments of characteristic functions with wavelet decomposition

Dongdong Fu, Yun Q. Shi, Wei Su

Research output: Chapter in Book/Report/Conference proceedingConference contribution

62 Scopus citations

Abstract

Image splicing is a commonly used technique in image tampering. This paper presents a novel approach to passive detection of image splicing. In the proposed scheme, the image splicing detection problem is tackled as a two-class classification problem under the pattern recognition framework. Considering the high non-linearity and non-stationarity nature of image splicing operation, a recently developed Hilbert-Huang transform (HHT) is utilized to generate features for classification. Furthermore, a well established statistical natural image model based on moments of characteristic functions with wavelet decomposition is employed to distinguish the spliced images from the authentic images. We use support vector machine (SVM) as the classifier. The initial experimental results demonstrate that the proposed scheme outperforms the prior arts.

Original languageEnglish (US)
Title of host publicationDigital Watermarking - 5th International Workshop, IWDW 2006, Proceedings
PublisherSpringer Verlag
Pages177-187
Number of pages11
ISBN (Print)3540488251, 9783540488255
DOIs
StatePublished - Jan 1 2006
Event5th International Workshop on Digital Watermarking, IWDW 2006 - Jeju Island, Korea, Republic of
Duration: Nov 8 2006Nov 10 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4283 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th International Workshop on Digital Watermarking, IWDW 2006
CountryKorea, Republic of
CityJeju Island
Period11/8/0611/10/06

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Keywords

  • Characteristic functions
  • Hilbert-Huang transform (HHT)
  • Image splicing
  • Support vector machine (SVM)

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