面向JPEG压缩的篡改取证综述  

Summarization of tampering evidence for JPEG compression

作　　者：谭等泰[1] 赵明 贺国庆 寇为刚[1] 

机构地区：[1]甘肃政法学院,甘肃兰州730070 [2]甘肃政法学院司法鉴定中心,甘肃兰州730070

出　　处：《自动化与仪器仪表》2018年第2期5-8,共4页Automation & Instrumentation

基　　金：甘肃政法学院科研资助项(2017XQNLW03);甘肃政法学院教学改革项目(GZJG2016-B05);甘肃省省青年科技基金计划(17JR5RA159)

摘　　要：随着图像处理技术的不断探索与发展,对数字图像进行的各式各样篡改随之而来,如何对篡改图像进行取证成为当前研究的热点问题之一。本文重点对基于JPEG压缩的篡改取证技术进行了综述,根据JPEG图像的压缩原理,将现有的取证算法分为三大类：块效应的图像真伪盲检测的算法、压缩量化相关性的图像真伪盲检测的算法和基于双压缩特性的JPEG伪造图像取证方案。分别阐述了国内外学者在面向JPEG压缩的篡改取证技术方面的主要研究成果,最后提出了JPEG图像的被动取证技术的不足之处。With the continuous exploration and development of image processing technology, the various tampering of digital images is followed, and how to extract the tampering image becomes one of the hot issues in the current research. Based on the compression principle of JPEG image, this paper divides the existing forensics algorithm into three categories：the algorithm of image false and false detection of block effect, the image of compression quantization correlation, and the method of compressing and quantifying the image based on JPEG compression. The algorithm of true and false blind detection and JPEG forgery image forensics scheme based on double compression. This paper expounds the main research achievements of scholars at home and abroad for JPEG compression, and finally puts forward the shortcomings of passive forensics technology of JPEG image.

关 键 词：图像取证 JPEG图像取证 被动取证 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]