[1]华蓓,陈前,陈前.基于特征匹配的图像真伪检测方法的研究[J].郑州大学学报(工学版),2022,43(02):22-27.[doi:10.13705/j.issn.1671-6833.2022.02.001]
　HUA Bei,CHEN Qian,HUANG Ruwei.Research of Image Authenticity Detection Method Based on Feature Matching[J].Journal of Zhengzhou University (Engineering Science),2022,43(02):22-27.[doi:10.13705/j.issn.1671-6833.2022.02.001]
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基于特征匹配的图像真伪检测方法的研究()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
43卷
期数:
2022年02期
页码:
22-27
栏目:
出版日期:
2022-02-27

文章信息/Info

Title:
Research of Image Authenticity Detection Method Based on Feature Matching
作者:
华蓓; 陈前; 陈前
广西大学计算机与电子信息学院;

Author(s):
HUA Bei;  CHEN Qian;  HUANG Ruwei
School of Computer, Electronics and Information, Guangxi University, Nanning 530004, China
关键词:
Keywords:
image tamper detection;  copy-move tampering;  feature matching;  mathematical morphology;  tamper area location
分类号:
TP391
DOI:
10.13705/j.issn.1671-6833.2022.02.001
文献标志码:
A
摘要:
互联网信息技术高速发展是一把双刃剑，网络上被篡改的图片也越来越多。恶意篡改的图片会对社会舆论、科学研究、司法取证甚至国家安全产生重大威胁。针对图像的复制粘贴篡改，本文提出了一种基于特征匹配的篡改区域定位方法：先提取SIFT特征矩阵，基于SIFT特征点进行块匹配粗定位，然后对疑似区域提取SIFT特征矩阵进行主成分分析和特征点匹配，之后使用相关性系数对匹配的特征点进行提纯，最后根据粗定位区域和特征点对的分布对篡改区域进行重定位。实验证明，本文提出的方法可以较好地定位篡改区域。
Abstract:
In view of the problem that the tamper detection algorithm based on SIFT feature matching had， such as unclear location of tamper region and interference of SIFT mismatch on tamper region resolution, a method of image tamper location based on mathematical morphology and feature matching was proposed. The method detects the extreme value of the image in the scale space, locate the key points of the image features, determine the gradient direction of the image, and form the feature point descriptor. Then based on the Euclidean distance, the feature descriptors were matched by two matching blocks, the tamper region is roughly located, and the redundant matching block was removed by mathematical morphology. SIFT feature point of suspected region pairs are extracted, the feature points were matched after PCA dimensionality reduction of SIFT feature matrix, and the matched feature points were purified by using the correlation coefficient. Finally, according to the distribution of matching feature points, the tampered area is relocated to accurately obtain the copy-move tamper area. In the experiment, a group of representative images were selected and detected after adding copy-move, rotation and zooming attacks. The results showed that the prorosed method could locate the location of the copy-move tamper area more accurately, and had higher accuracy in the image copy-move tamper detection.

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更新日期/Last Update: 2022-02-25