| 注册
首页|期刊导航|计算机工程|一种适用于有损压缩图像的重采样检测算法

一种适用于有损压缩图像的重采样检测算法

陈孟原 李峰 殷苌茗

计算机工程2012,Vol.38Issue(1):217-219,3.
计算机工程2012,Vol.38Issue(1):217-219,3.DOI:10.3969/j.issn.1000-3428.2012.01.070

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

陈孟原 1李峰 1殷苌茗1

作者信息

  • 1. 长沙理工大学计算机与通信工程学院,长沙410114
  • 折叠

摘要

Abstract

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

Key words

lossy compression/ Fast Fourier Transform(FFT)/ resampling detection/ statistical property/ digital image forensics

分类

信息技术与安全科学

引用本文复制引用

陈孟原,李峰,殷苌茗..一种适用于有损压缩图像的重采样检测算法[J].计算机工程,2012,38(1):217-219,3.

基金项目

国家自然科学基金资助项目(60973113) (60973113)

湖南省自然科学基金资助项目(09JJ3120) (09JJ3120)

计算机工程

OACSCDCSTPCD

1000-3428

访问量0
|
下载量0
段落导航相关论文