A New Approach Merging Markov and DCT Features for Image Splicing Detection

摘要：

Splicing detection is of fundamental importance in digital image forensics. Recent image forensic research has resulted in a number of tampering detection techniques utilizing statistical features. Fusion of multiple features provides promises for improving detection performance. In this paper, we propose a new splicing detection approach based on the features utilized for steganalysis. We merge Markov process based features and discrete cosine transform (DCT) features for splicing detection. The proposed approach can achieve an accuracy of 91.5％ with a 109-dimensional feature vector. Experimental results demonstrate its superior performance over the prior arts.

关键词： digital image forensics steganalysis splicing detection Markov process DCT features

作者: Jing Zhang Yun Zhao Yuting Su

作者单位: School of Electronic Information Engineering Tianjin University Tianjin,China,300072

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems(2009 IEEE 智能计算与智能系统国际会议)

会议地点: 上海

会议语种:英文

页码: 2919-2923

在线出版日期: 2009-11-20（万方平台首次上网日期，不代表论文的发表时间）