Image Splicing Detection Based on Statistical Properties of Benford Model

摘要：

　　For the operation of the image splicing tamper,this paper proposes a novel approach for blind image splicing detection based on statistical properties of the Benford model.Having made discrete wavelet transform (DWT) to the test image,we extracted alternating current (AC) coefficients in discrete cosine transform (DCT) domain of the three RGB color channels from each wavelet component,and then we calculated probability distribution of the most significant digit (MSD) of the AC coefficients in DCT domain by using the Benford model,constructed the detection model of the proposed algorithm.The threshold is set according to significant level of the statistical property difference tampered between before and after,then judgement the authenticity of the images.Experimental results show that the proposed algorithm is capable to detect splicing image efficiently.

关键词： image splicing detection statistical characteristics AC coefficient most significant digit authenticity

作者: Senfeng TONG Zhen ZHANG Yongjie XIE Xiaodi WU

作者单位: School of Electrical Engineering,Zhengzhou University Zhengzhou,China

会议类型: 国际会议

会议名称: 2013 2nd International Conference on Computer Science and Electronics Engineering(ICCSEE2013)(2013年第二届计算机科学与电子工程国际会议)

会议地点: 杭州

会议语种:英文

页码: 792-795

在线出版日期: 2013-03-22（万方平台首次上网日期，不代表论文的发表时间）