Forensics feature analysis in quaternion wavelet domain for distinguishing photographic images and computer graphics
Document Type
Article
Publication Date
11-1-2017
Abstract
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.
Identifier
84996598443 (Scopus)
Publication Title
Multimedia Tools and Applications
External Full Text Location
https://doi.org/10.1007/s11042-016-4153-0
e-ISSN
15737721
ISSN
13807501
First Page
23721
Last Page
23737
Issue
22
Volume
76
Grant
12KJB520006
Fund Ref
National Natural Science Foundation of China
Recommended Citation
Wang, Jinwei; Li, Ting; Shi, Yun Qing; Lian, Shiguo; and Ye, Jingyu, "Forensics feature analysis in quaternion wavelet domain for distinguishing photographic images and computer graphics" (2017). Faculty Publications. 9217.
https://digitalcommons.njit.edu/fac_pubs/9217
