网络与信息安全学报2017，Vol.3Issue(12)：24-30,7.DOI:10.11959/j.issn.2096-109x.2017.00220
基于块效应网格偏移的重获取JPEG图像篡改检测
JPEG recapture image tamper detection method based on block effect grid offset
摘要
Abstract
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.关键词
图像取证/重获取图像/JPEG图像/重压缩/块效应网格偏移Key words
image forensics/recapture images/JPEG images/repetitive compression/offset of BAG分类
信息技术与安全科学引用本文复制引用
黄维,黄添强,张雪莉,肖辉..基于块效应网格偏移的重获取JPEG图像篡改检测[J].网络与信息安全学报,2017,3(12):24-30,7.基金项目
国家自然科学基金资助项目（No.61070062, No.61502103）；福建省高校产学合作科技重大基金资助项目（No.2015H6007）；福州市科技计划基金资助项目（No.2014-G-76）；福建省高等学校新世纪优秀人才支持基金资助项目（No.JAI1038）；福建省科学厅K 类基金资助项目（No.2011007）；福建省教育厅A 类基金资助项目 （）
The National Natural Science Foundation of China (No.61070062, No.61502103), Industry-University Cooperation Major Project of Fujian Province (No.2015H6007), Science and Technology Program of Fuzhou (No.2014-G-76), Program for New Century Excellent Talents in University of Fujian Province(No.JAI1038), The K-class Foundation Project of Fujian Provincial Science and Technology (No.2011007), The A-class Foundation Project of Fujian Provincial Education Department (No.JA10064) （No.61070062, No.61502103）
