基于极坐标正弦变换的Copy-move篡改检测

马杰; 钟斌斌; 焦亚男

doi:10.11999/JEIT190481

基于极坐标正弦变换的Copy-move篡改检测

doi: 10.11999/JEIT190481

河北工业大学电子信息工程学院天津 300401

详细信息

作者简介:
马杰：男，1978年生，教授，研究方向为图像处理与模式识别

钟斌斌：男，1990年生，硕士生，研究方向为数字图像处理

焦亚男：女，1992年生，硕士生，研究方向为数字图像处理

通讯作者:
马杰　jma@hebut.edu.cn

中图分类号: TN911.73; TP391.41
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- 文章访问数: 2364
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- 被引次数: 0
出版历程
- 收稿日期: 2019-06-28
- 修回日期: 2019-11-05
- 网络出版日期: 2019-11-28
- 刊出日期: 2020-06-04

Copy-move Forgeries Detection Based on Polar Sine Transform

School of Electronic & Information Engineering, Hebei University of Technology, Tianjin 300401, China

摘要

摘要:
该文使用极坐标正弦变换(PST)特征对图像进行Copy-move篡改检测，将待检测图像转换成灰度图并进行PST特征提取，并采用改进的快速近似最近邻搜索算法PatchMatch对特征描述符进行匹配，以克服匹配全局描述符带来的处理时间较长的缺点。实验分析表明，该文所提方法不仅对图像的线性Copy-move篡改和旋转干扰篡改有很好的效果，而且对噪声和JPEG压缩干扰篡改也具有一定的鲁棒性。最后对综合干扰篡改实验测试发现，在综合篡改幅度较小的情况下，准确率可以达到98.0%。
- 图像检测 /
- 图像篡改 /
- 极坐标正弦变换 /
- PatchMatch
Abstract:
Polar Sine Transform (PST) is used to detect Copy-move forgeries in the paper, and the image to be detected is transformed into gray scale image and feature extraction is carried out by PST. Improved PatchMatch, a fast approximate nearest neighbor search algorithm, is used to match feature descriptors to overcome the problem of long time consuming caused by matching global descriptors. Experiments show that the proposed method is not only effective for linear Copy-move forgeries and rotation interference forgeries, but also robust to noise and JPEG compression interference forgeries. Finally, the experimental results of synthetic interference forgeries show that the accuracy can reach 98.0% when the synthetic forgeries range is small.
- Image detection /
- Image forgery /
- Polar Sine Transform (PST) /
- PatchMatch

HTML全文

图 1 图像篡改与偏移映射

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图 2 PatchMatch算法

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图 3 改进后的传播

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图 4 PatchMatch算法匹配

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图 5 后期处理

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图 6 篡改检测流程图

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图 7 篡改检测

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图 8 旋转检测

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图 9 添加噪声检测

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图 10 JPEG压缩检测

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图 11 综合篡改检测

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图 12 3种算法在不同干扰下的准确率

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