一种适用于有损压缩图像的重采样检测算法  

Resampling Detection Algorithm for Lossy Compression Image

作　　者：陈孟原[1] 李峰[1] 殷苌茗[1] 

机构地区：[1]长沙理工大学计算机与通信工程学院,长沙410114

出　　处：《计算机工程》2012年第1期217-219,共3页Computer Engineering

基　　金：国家自然科学基金资助项目(60973113);湖南省自然科学基金资助项目(09JJ3120)

摘　　要：有损压缩与重采样操作在图像像素间产生的相关统计特性导致有损压缩图像难以被检测。为解决该问题,提出一种适用于无损图像的重采样检测算法,利用插值信号的周期性对图像频域特征进行分析,通过估算插值系数实现重采样检测。实验结果表明,该算法鲁棒性强、应用范围广,对于JPEG有损压缩图像的重采样检测具有较高的正确率。The similar statistical properties between pixels in lossy compression and resampling operation makes the lossy compression image hard to detection.In order to solve the problem,this paper presents a resampling detection algorithm which is applied to lossless compression.It investigates the spectrum characteristics of an image by analyzing the periodicity of interpolating signal and then estimate interpolation coefficient of the image resampling.Experimental results indicate that this algorithm has strong robustness and wide application,and it has precision rate for JPEG lossy compression image resampling detection.

关 键 词：有损压缩 快速傅里叶变换 重采样检测 统计特性 数字图像取证 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]