基于QPCA的彩色图像复制粘贴检测

doi:10.3969/j.issn.0255-8297.2019.02.014

应用科学学报 ›› 2019, Vol. 37 ›› Issue (2): 291-300.doi: 10.3969/j.issn.0255-8297.2019.02.014

• 信号与信息处理 • 上一篇

基于QPCA的彩色图像复制粘贴检测

王金伟, 徐春晖

南京信息工程大学计算机与软件学院, 南京 210044

收稿日期:2018-03-06 修回日期:2018-04-03 出版日期:2019-03-31 发布日期:2019-03-31
通信作者: 王金伟,教授,博导,研究方向:彩色图像取证、图像水印和多媒体加密,E-mail:wjwei_2004@163.com E-mail:wjwei_2004@163.com
基金资助:
国家自然科学基金（No.61772281，No.61502241，No.61272421，No.61232016，No.61402235，No.61572258）资助

Copy-Move Forgery Detection for Color Images Based on QPCA

WANG Jin-wei, XU Chun-hui

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

Received:2018-03-06 Revised:2018-04-03 Online:2019-03-31 Published:2019-03-31

摘要/Abstract

摘要： 目前，大多数图像取证方法对彩色图像的处理是将其转换为灰度图像，从而导致了彩色图像的颜色信息不能被有效且充分地利用.针对此问题提出一种基于四元数主成分分析（quaternion principal component analysis，QPCA）的复制粘贴篡改检测方法.该方法充分利用了彩色图像的各个颜色通道及它们之间的相关性，能够有效提高篡改区域的识别度.运用基于图像块的检测方法，首先将图像分块后对所有块进行QPCA计算以提取特征，然后用字典排序获取相似块的移位向量，最后根据移位向量频数与阈值的比较确定篡改区域.实验结果表明，所提方法的误检漏检率低于现有方法，检测准确率有较大提高.

关键词: 彩色图像, 基于图像块, 四元数主成分分析, 复制粘贴篡改检测

Abstract: Currently, in order to deal with color images, most forensics methods transform color images into gray images,which results in the color property not being fully used. Aimed at this problem, a copy-move forgery detection scheme based on quaternion principal component analysis (QPCA) is proposed in this paper. The scheme makes full use of the color property and the relationship among all color channels, which improves the accuracy in forged area effectively. The proposed scheme is block-based and frstly it divides images into overlapping blocks and performs QPCA of all the blocks to extract features. Then the features are lexicographical ordered to obtain shift vector and its frequency. Finally we compare the shift vector frequency to the threshold to locate the forged region. Experiments show that the missing-false alarm rate in the proposed method is lower than the existing methods and has a better accuracy.

Key words: color image, block-based, quaternion principal component analysis (QPCA), copy-move forgery detection

中图分类号:

P751.1

王金伟, 徐春晖. 基于QPCA的彩色图像复制粘贴检测[J]. 应用科学学报, 2019, 37(2): 291-300.

WANG Jin-wei, XU Chun-hui. Copy-Move Forgery Detection for Color Images Based on QPCA[J]. Journal of Applied Sciences, 2019, 37(2): 291-300.

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基于QPCA的彩色图像复制粘贴检测

Copy-Move Forgery Detection for Color Images Based on QPCA

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