基于QDCT马尔科夫方法的彩色图像拼接检测

doi:10.3969/j.issn.0255-8297.2017.06.009

应用科学学报 ›› 2017, Vol. 35 ›› Issue (6): 754-762.doi: 10.3969/j.issn.0255-8297.2017.06.009

基于QDCT马尔科夫方法的彩色图像拼接检测

王金伟, 刘仁峰

南京信息工程大学计算机与软件学院, 南京 210044

收稿日期:2017-02-13 修回日期:2017-03-15 出版日期:2017-11-30 发布日期:2017-11-30
作者简介:王金伟,教授,博导,研究方向:图像取证、图像水印和多媒体加密,E-mail:wjwei_2004@163.com
基金资助:
国家自然科学基金（No.61772281，No.61272421，No.61232016，No.61402235，No.61502241）；江苏省自然科学基金（No.BK20141006）；江苏高校优势学科建设工程项目和大气环境与装备技术协同创新中心基金资助

Splicing Detection for Color Images Based on QDCT Markov method

WANG Jin-wei, LIU Ren-feng

School of Computer and Soft, Nanjing University of Information Science and Technology, Nanjing 210044, China

Received:2017-02-13 Revised:2017-03-15 Online:2017-11-30 Published:2017-11-30

摘要/Abstract

摘要：

提出一种基于四元数离散余弦变换（quaternion discrete cosine transform，QDCT）的拼接检测方案.该方案充分利用了彩色图像三通道之间的相关性，减少了图像彩色信息的损失.将彩色图像进行QDCT得到变换系数，然后使用四元数马尔科夫方法提取特征，最后用支持向量机检测拼接图像.使用图像库CASIA TIDE v1.0和CASIA TIDE v2.0进行实验，所得准确率分别达到98.75%和96.78%，表明该方法优于大部分现有方法.

关键词: 四元数离散余弦变换, 拼接检测, 马尔科夫方法, 彩色图形

Abstract:

We propose a splicing detection scheme based on quaternion discrete cosine transform (QDCT). The scheme uses correlation among three channels of a color image to reduce loss of the image's inherent color information. QDCT is first applied to the images, and features are extracted with the proposed scheme in the QDCT domain. SVM is used to detect image splicing. Using the image bases CASIA1 and CASIA2, accuracy of the proposed scheme reaches 98.75% and 96.78% respectively, which is better than most of existing methods.

Key words: color image, Markov method, quaternion discrete cosine transform (QDCT), splicing detection

中图分类号:

TN915.08

王金伟, 刘仁峰. 基于QDCT马尔科夫方法的彩色图像拼接检测[J]. 应用科学学报, 2017, 35(6): 754-762.

WANG Jin-wei, LIU Ren-feng. Splicing Detection for Color Images Based on QDCT Markov method[J]. Journal of Applied Sciences, 2017, 35(6): 754-762.

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基于QDCT马尔科夫方法的彩色图像拼接检测

Splicing Detection for Color Images Based on QDCT Markov method

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