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Detection of resampling in digital images based on correlation coefficients
CAO Hongjian 1,ZHAO Yao 2 *,NI Rongrong 2
1.Department of Computer and Information technology, University of Beijing Jiaotong University, Beijing 100044
2.Department of Computer and Information technology, University of Beijing Jiaotong University, Beijing 100044
*Correspondence author
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Funding: none
Opened online: 7 June 2012
Accepted by: none
Citation: CAO Hongjian,ZHAO Yao,NI Rongrong.Detection of resampling in digital images based on correlation coefficients[OL]. [ 7 June 2012] http://en.paper.edu.cn/en_releasepaper/content/4480397
 
 
In digital image forensic, resampling detection is a very useful tool because of the common use of resampling in digital image processing. In this paper a new resampling detection algorithm is proposed which explores the periodicity among the rows or columns of the images. The core of the proposed algorithm is the use of correlation coefficients based on the observation that the correlation coefficients of the adjacent rows or columns is periodic in resampled images. In some images, the image contents also show periodicity, which will interfere the detection of resampling. Some measures are taken to reduce that interference. As experiments show, the proposed algorithm is more robust than prior algorithm and shows better results, especially when detecting images which have been through nearest interpolation or resized by ratio 2.0.
Keywords:digital image forensic; resampling detection; interpolation; correlation coefficients; vectors
 
 
 

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