顽健合成图像篡改检测及定位

王潇; 张荣; 郭立君

doi:10.11959/j.issn.1000-0801.2017214

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顽健合成图像篡改检测及定位

研究与开发 | 更新时间：2024-06-05

- 顽健合成图像篡改检测及定位
- Robust tampering detection and localization of composite image
- 电信科学 2017年33卷第8期页码：120-129
- 作者机构：
- 作者简介：
  
  [ "王潇（1993-），女，宁波大学信息科学与工程学院硕士生，主要研究方向为数字图像取证与信息安全。" ]
  [ "张荣（1974-），女，博士，宁波大学副教授，主要研究方向为数字取证与信息安全。" ]
  [ "郭立君（1970-），男，博士，宁波大学教授，主要研究方向为计算机视觉与模式识别、移动互联网及其应用。" ]
- 基金信息：
  
  浙江省自然科学基金资助项目;Zhejiang Provincial Natural Science Foundation of China(LY17F030002);浙江省“信息与通信工程”重中之重学科开放基金资助项目;Zhejiang Province “Information and Communication Engineering” in the Top Priority of the Subject of Open Fund(xkxl1521);浙江省“信息与通信工程”重中之重学科开放基金资助项目;Zhejiang Province “Information and Communication Engineering” in the Top Priority of the Subject of Open Fund(xkxl1516)
- DOI：10.11959/j.issn.1000-0801.2017214
  中图分类号： TP391
- 网络出版日期：2017-08，
  
  纸质出版日期：2017-08-15
- 稿件说明：
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王潇, 张荣, 郭立君. 顽健合成图像篡改检测及定位[J]. 电信科学, 2017,33(8):120-129.

Xiao WANG, Rong ZHANG, Lijun GUO. Robust tampering detection and localization of composite image[J]. Telecommunications science, 2017, 33(8): 120-129.
王潇, 张荣, 郭立君. 顽健合成图像篡改检测及定位[J]. 电信科学, 2017,33(8):120-129. DOI： 10.11959/j.issn.1000-0801.2017214.

Xiao WANG, Rong ZHANG, Lijun GUO. Robust tampering detection and localization of composite image[J]. Telecommunications science, 2017, 33(8): 120-129. DOI： 10.11959/j.issn.1000-0801.2017214.

摘要

针对自然图像与高度仿真的计算机生成图像的合成图像篡改检测问题，提出在YCbCr颜色空间基于差分直方图和中心对称局部二进制模式提取图像块颜色和纹理特征的方法，通过训练后验概率支持向量机模型对待测图像块进行识别。在不重叠分块情况下先大致判断篡改区域，然后在该区域内逐像素分块判别，最终实现篡改区域精确定位。实验结果表明，对128 dpi × 128 dpi图像块的识别率达到94.75%，高于现有方法；对合成图像篡改区域能够实现精确定位，且对旋转、缩放操作表现出较好的顽健性。

Abstract

Aiming at the problem of tamper detection of composite image of natural images and highly simulated computer-generated images

a method of extracting image block color and texture feature based on differential histogram and local binary texture descriptor in YCbCr color space was proposed.By training posterior probability support vector machine

the image block to be measured was identified.In the case of non-overlapping block

the approximate tampering area was general judged

then the block was discriminated by pixel in the region

ultimately the accurate location of tampering area was achieved.The experimental results show that the recognition rate of 128 dpi×128 dpi image blocks is 94.75%

which is higher than other methods.The tapering region of the synthesized image can be precisely positioned

and the rotation and scaling operation show good coercivity.

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Keywords

references

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