Chinese Journal of Network and Information Security ›› 2017, Vol. 3 ›› Issue (12): 38-44.doi: 10.11959/j.issn.2096-109x.2017.00220

• Papers • Previous Articles     Next Articles

JPEG recapture image tamper detection method based on block effect grid offset

Wei HUANG1,2,Tian-qiang HUANG1,2(),Xue-li ZHANG1,2,Hui XIAO1,2   

  1. 1 College of Mathematics and Informatics,Fujian Normal University,Fuzhou 350117,China
    2 Fujian Provincial Engineering Research Center of Big Data Analysis and Application,Fuzhou 350117,China
  • Revised:2017-11-24 Online:2017-12-01 Published:2018-01-12
  • Supported by:
    The National Natural Science Foundation of China(61070062);The National Natural Science Foundation of China(61502103);Industry-University Cooperation Major Project of Fujian Province(2015H6007);Science and Technology Program of Fuzhou(2014-G-76);Program for New Century Excellent Talents in University of Fujian Province(JAI1038);The K-class Foundation Project of Fujian Provincial Science and Technology(2011007);The A-class Foundation Project of Fujian Provincial Education Department(JA10064)


Recaptured images are captured original or distorted image shown on the intermediaries,a high-quality recapture image is difficult to distinguish the authenticity of the human eye.Aimed at the tampering operation of JPEG image,a method of detecting block effect grid offset due to re-compression was proposed.The original image was compressed multiple times did not produce the block effect of the grid offset,and the recapture image,because of the recapture process would introduce background information that was not related to the original image,the re-compression of the block effect grid with the original grid is mismatched,and the average information loss amount of the image was used to detect whether the block effect grid generates an offset or not to detect the recapture image.Experiments show that this method is more accurate than the existing recapture image detection method,and the average detection time is shorter.

Key words: image forensics, recapture images, JPEG images, repetitive compression, offset of BAG

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