Blind Forensic for Image Copy-Paste Tampering with Geometric Invariance

L; Uuml; Ying-da

doi:10.3969/j.issn.0372-2112.2016.11.005

您当前的位置：

首页 >

文章列表页 >

Blind Forensic for Image Copy-Paste Tampering with Geometric Invariance

更新时间：2025-07-16

- Blind Forensic for Image Copy-Paste Tampering with Geometric Invariance
- Acta Electronica Sinica Vol. 44, Issue 11, Pages: 2592-2599(2016)
- 作者机构：
  
  1. 吉林大学计算机科学与技术学院,吉林,长春,130012
  2. 吉林大学符号计算与知识工程教育部重点实验室,吉林,长春,130012
  3. 吉林大学公共计算机教学与研究中心,吉林,长春,130012
  4. 吉林大学计算机科学与技术学院,吉林,长春,130012
  5. 吉林大学符号计算与知识工程教育部重点实验室,吉林,长春,130012
  6. 吉林大学公共计算机教学与研究中心,吉林,长春,130012
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.61305046);Natural Science Foundation of Jilin Province (No.20140101193JC, No.20130522117JH, No.20150101055JC)
- DOI：10.3969/j.issn.0372-2112.2016.11.005
  CLC： TP391
- Published Online：25 November 2016，
  
  Published：2016
- 稿件说明：
移动端阅览
L, Uuml, Ying-da. Blind Forensic for Image Copy-Paste Tampering with Geometric Invariance[J]. Acta Electronica Sinica, 2016, 44(11): 2592-2599.
DOI：

L, Uuml, Ying-da. Blind Forensic for Image Copy-Paste Tampering with Geometric Invariance[J]. Acta Electronica Sinica, 2016, 44(11): 2592-2599. DOI： 10.3969/j.issn.0372-2112.2016.11.005.

摘要

提出一种具有几何不变性的复制-粘贴盲鉴别算法.该算法首先定义灰度级别和灰度结构，根据像素的灰度级别划分图像块，再结合其灰度结构定位可疑块对；然后对每一组可疑块对进行基于对数极坐标变换的相位相关，并粗略定位篡改区域；最后，精确计算篡改区域之间的旋转角度、缩放尺度及平移量，从而定位复制-粘贴区域.实验结果表明，该算法不但具有旋转、缩放等几何不变性，而且具有较高检测效率及较强的鲁棒性.

Abstract

A blind identification algorithm for image copy-paste tampering with geometric invariance was proposed in this study.Firstly

gray level and gray structure are defined

the image is divided into blocks according to the gray levels of pixels

and the suspicious blocks in the image is positioned through the gray structure;Secondly

phase correlation is made for each group of suspicious block based on logarithm polar coordinate transformation

and the tampering regions are located preliminarily;Finally

the rotation angle

scale and translation measurements are calculated precisely

and the tampering regions are positioned.The experimental results show that our algorithm performs well against copy-rotate/scale-paste tampering

and its detection efficiency and robustness are better than the existing algorithms.

关键词

Keywords

references

Views

861

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Track Alignment-Correlation Technique Based on Phase Correlation

Four Parameter Model Based Motion Estimation in Frequency Domain

A Small Baseline Stereo Matching Method Based on Extended Phase Correlation

Related Author

HE You

SONG Qiang

XIONG Wei

WANG Dong

WANG Wei

XU Xiao-ming

MA Ning

MEN Yu-bo

Related Institution

Research Institute of Information Fusion,Naval Aeronautical and Astronautical University

The Institute of Intelligent Control,Shanghai Jiaotong University

College of Computer Science and Technology, Harbin Engineering University

College of Computer Science and Information Engineering, Harbin Normal University

College of Computer Science and Technology Harbin Engineering University Harbin Heilongjiang China

⁰