TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
Quaternion Markov Splicing Detection for Color Images Based on Quaternion Discrete Cosine Transform |
| 영문제목(English Title) |
Quaternion Markov Splicing Detection for Color Images Based on Quaternion Discrete Cosine Transform |
| 저자(Author) |
Jinwei Wang
Renfeng Liu
Hao Wang
Bin Wu
Yun-Qing Shi
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| 원문수록처(Citation) |
VOL 14 NO. 07 PP. 2981 ~ 2996 (2020. 07) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
With the increasing amount of splicing images, many detection schemes of splicing images are proposed. In this paper, a splicing detection scheme for color image based on the quaternion discrete cosine transform (QDCT) is proposed. Firstly, the proposed quaternion Markov features are extracted in QDCT domain. Secondly, the proposed quaternion Markov features consist of global and local quaternion Markov, which utilize both magnitude and three phases to extract Markov features by using two different ways. In total, 2916-D features are extracted. Finally, the support vector machine (SVM) is used to detect the splicing images. In our experiments, the accuracy of the proposed scheme reaches 99.16% and 97.52% in CASIA TIDE v1.0 and CASIA TIDE v2.0, respectively, which exceeds that of the existing schemes.
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| 키워드(Keyword) |
splicing detection
color image
QDCT
quaternion Markov
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| 파일첨부 |
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