期刊
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
卷 29, 期 9, 页码 2775-2785出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCSVT.2018.2867786
关键词
Color quaternion wavelet transform (CQWT); quaternion statistics; quaternion feature; color image; forensics
资金
- Natural Science Foundation of China [61772281, U1636219, 61502241, 61402235, 61572258]
- National Key R&D Program of China [2016YFB0801303, 2016QY01W0105]
- Plan for Scientific Talent of Henan Province [2018JR0018]
- Natural Science Foundation of Jiangsu Province [BK20141006]
- Priority Academic Program Development of Jiangsu Higher Education Institutions
- CICAEET
In this paper, a novel forensics scheme for color image is proposed in color quaternion wavelet transform (CQWT) domain. Compared with discrete wavelet transform (DWT), contourlet wavelet transform, and local binary patterns, CQWT processes a color image as a unit, and so, it can provide more forensics information to identify the photograph (PG) and computer generated (CG) images by considering the quaternion magnitude and phase measures. Meanwhile, two novel quaternion central moments for color images, i.e., quaternion skewness and kurtosis, are proposed to extract forensics features. In the condition of the same statistical model as Farid's model, the CQWT can boost the performance of the existing identification models. Compared with Farid's model and Li's model in 7500 PG and 7500 CG, the quaternion statistical features show a better classification performance. Results in the comparative experiments show that the classification accuracy of the CQWT improves by 19% more than Farid's model, and the quaternion features approximately improve by 2% more than the traditional.
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