特征增强的平滑区域篡改检测算法

doi:10.3969/j.issn.0255-8297.2017.05.001

应用科学学报 ›› 2017, Vol. 35 ›› Issue (5): 537-544.doi: 10.3969/j.issn.0255-8297.2017.05.001

• 2016中国计算机应用大会遴选论文 • 上一篇下一篇

特征增强的平滑区域篡改检测算法

张伟伟¹, 杨正洪¹, 韩洪立², 王珺斌¹, 牛少彰²

1. 中国农业大学理学院, 北京 100083;
2. 北京邮电大学智能通信软件与多媒体北京市重点实验室, 北京 100876

收稿日期:2016-09-28 修回日期:2017-01-01 出版日期:2017-09-30 发布日期:2017-09-30
作者简介:张伟伟,博士生,讲师,研究方向:数字图像篡改取证,E-mail:zhangweiwei2012@126.com
基金资助:
国家自然科学基金（No.61370195，No.U1536121）资助

Detection of Smoothing Region Tampering Based on Feature Enhancement

ZHANG Wei-wei¹, YANG Zheng-hong¹, HAN Hong-li², WANG Jun-bin¹, NIU Shao-zhang²

1. College of Science, China Agricultural University, Beijing 100083, China;
2. Beijing Key Lab of Intelligent Telecommunication Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing 100876, China

Received:2016-09-28 Revised:2017-01-01 Online:2017-09-30 Published:2017-09-30

摘要/Abstract

摘要：

针对移除图像平滑区域目标的篡改行为，提出一种基于轮廓特征增强的检测算法.首先对待检测图像进行滑窗式分块，逐块进行二值化轮廓特征提取，然后对提取的轮廓序列进行字典排序，最后通过对轮廓序列的匹配实现篡改区域的正确标注.实验表明该算法能有效解决平滑区域篡改痕迹检测的问题，且篡改图像经较低品质JPEG压缩后仍有较强的匹配能力.

关键词: 平滑区域, 轮廓特征增强, 二值化, 尺度不变特征变换, 篡改检测

Abstract:

An algorithm for forgery detection based on outline feature enhancement is proposed to remove tampered areas in an image. The image to be detected is frst divided into blocks of sliding-windows. Binary outline features are extracted from every block. The extracted outline sequences are ranked in an alphabetic order. By matching the outline sequences, tampered regions are identifed. Experiment results show that the proposed algorithm can effectively detect tampering traces in smooth image regions, even from images after JPEG compression with low quality factors.

Key words: scale-invariant feature transform (SIFT), flat regions, outline feature enhancement, forgery detection, binary image

中图分类号:

TP391.4

张伟伟, 杨正洪, 韩洪立, 王珺斌, 牛少彰. 特征增强的平滑区域篡改检测算法[J]. 应用科学学报, 2017, 35(5): 537-544.

ZHANG Wei-wei, YANG Zheng-hong, HAN Hong-li, WANG Jun-bin, NIU Shao-zhang. Detection of Smoothing Region Tampering Based on Feature Enhancement[J]. Journal of Applied Sciences, 2017, 35(5): 537-544.

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特征增强的平滑区域篡改检测算法

Detection of Smoothing Region Tampering Based on Feature Enhancement

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