The Detecting System of Image Forgeries with Noise Features and EXIF Information

作     者：SUN Xiaoting LI Yezhou NIU Shaozhang HUANG Yanli 

作者机构：School of Science Beijing University of Posts and Telecommunications Beijing Key Lab of Intelligent Telecommunication Software and Multimedia Beijing University of Posts and Telecommunications 

出 版 物：《Journal of Systems Science & Complexity》 (系统科学与复杂性学报(英文版))

年 卷 期：2015年第28卷第5期

页      面：1164-1176页

核心收录：

学科分类：08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 

基　　金：supported by the National Natural Science Foundation of China under Grant Nos.61370195and 11101048 Beijing Natural Science Foundation under Grant No.4132060 the National Cryptography Development Foundation of China under Grant No.MMJJ201201002 

主　　题：Blind forensics doctored image EXIF parameters noise features 

摘      要：Recently, the digital image blind forensics technology has received an increasing attention in academic community. This paper aims at developing a new identification approach based on the statistical noise and exchangeable image file format(EXIF) information of image for images authentication. In particular, the authors can identify whether the current image has been modified or not by utilizing the relevance between noise and EXIF parameters and comparing the real values with the estimated values of the EXIF parameters. Experimental results validate the proposed method. That is, the detecting system can identify the doctored image effectively.