Forensics feature analysis in quaternion wavelet domain for distinguishing photographic images and computer graphics

In this paper, a novel set of features based on Quaternion Wavelet Transform (QWT) is proposed for digital image forensics. Compared with Discrete Wavelet Transform (DWT) and Contourlet Wavelet Transform (CWT), QWT produces the parameters, i.e., one magnitude and three angles, which provide more val...

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Bibliographic Details
Published inMultimedia tools and applications Vol. 76; no. 22; pp. 23721 - 23737
Main Authors Wang, Jinwei, Li, Ting, Shi, Yun-Qing, Lian, Shiguo, Ye, Jingyu
Format Journal Article
LanguageEnglish
Published New York Springer US 01.11.2017
Subjects
Computer Communication Networks
Computer Science
Data Structures and Information Theory
Multimedia Information Systems
Special Purpose and Application-Based Systems
Contourlet wavelet transform
Discrete wavelet transform
Feature comparison
Forensics
Quaternion wavelet transform
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Summary:In this paper, a novel set of features based on Quaternion Wavelet Transform (QWT) is proposed for digital image forensics. Compared with Discrete Wavelet Transform (DWT) and Contourlet Wavelet Transform (CWT), QWT produces the parameters, i.e., one magnitude and three angles, which provide more valuable information to distinguish photographic (PG) images and computer generated (CG) images. Some theoretical analysis are done and comparative experiments are made. The corresponding results show that the proposed scheme achieves 18 percents’ improvements on the detection accuracy than Farid’s scheme and 12 percents than Özparlak’s scheme. It may be the first time to introduce QWT to image forensics, but the improvements are encouraging.
ISSN:1380-7501
1573-7721
DOI:10.1007/s11042-016-4153-0