Detection of Interpolation Using Correlation Coefficients

摘要：

　　Resampling detection is a very useful tool in digital image forensic.In this paper,we propose a new algorithm for detecting interpolation by using the periodicity characteristics hidden among the rows(or columns) of the image.The core of our algorithm is the use of correlation coefficients based on the observation that the correlation coefficients of the row(or column) vectors vary periodically in resampled image.In some images,the image contents themselves correlate periodically.To reduce this kind of interference and enhance the detection efficiency,we use the first derivatives signals and detect the image both horizontally and vertically under some condition.As experiments show,the proposed algorithm works well,and most of the resampling factors can be correctly determined with high accuracy.

作者: Hongjian Cao Yao Zhao Rongrong Ni

作者单位: Institute of information science, Beijing Jiaotong University, Beijing, China, 100044

会议类型: 国际会议

会议名称: 2012 IEEE 11th International Conference on Signal Processing (第11届IEEE信号处理国际会议)

会议地点: 北京

会议语种:英文

页码: 989-992

在线出版日期: 2012-10-21（万方平台首次上网日期，不代表论文的发表时间）