Detection of image copy-move forgery using local intensity order pattern

Jing LIN; Tian-qiang HUANG; Ling-peng LIN; Xiao-chen1 LI

doi:10.11959/j.issn.1000-436x.2016259

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Detection of image copy-move forgery using local intensity order pattern

Contents Papers | 更新时间：2024-06-05

- Detection of image copy-move forgery using local intensity order pattern
- Journal on Communications Vol. 37, Issue Z1, Pages: 132-139(2016)
- 作者机构：
  
  1. 福建师范大学数学与计算机科学学院，福建福州 350007
  2. 福建师范大学软件学院，福建福州 350007
  3. 福建师范大学大数据分析与应用福建省高校工程研究中心，福建福州 350007
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(61070062);The National Natural Science Foundation of China(61502103);Industry-University Coopera-tion Major Projects in Fujian Province(2015H6007);Science and Technology Program of Fujian(2014-G-76);Program for New Century Excellent Talents in University in Fujian Province(JAI1038);The Science and Technology Department of Fujian Province K-Class Foundation Project(2011007);The Education Department of Fujian Province A-Class Foundation Project(JA10064);The Graduate Education Reform Project of Fujian Normal University(MY201414)
- DOI：10.11959/j.issn.1000-436x.2016259
  CLC： TP391
- Online First：2016-10，
  
  Published：25 October 2016
- 稿件说明：
移动端阅览
Jing LIN, Tian-qiang HUANG, Ling-peng LIN, et al. Detection of image copy-move forgery using local intensity order pattern[J]. Journal on Communications, 2016, 37(Z1): 132-139.
DOI：

Jing LIN, Tian-qiang HUANG, Ling-peng LIN, et al. Detection of image copy-move forgery using local intensity order pattern[J]. Journal on Communications, 2016, 37(Z1): 132-139. DOI： 10.11959/j.issn.1000-436x.2016259.

摘要

复制—粘贴篡改是一种最简单而且常见的图像篡改方式。为了提高目前复制—粘贴篡改检测算法的顽健性，提出一种基于局部强度顺序模式(LIOP

local intensity order pattern)的图像复制—粘贴篡改检测算法。首先，提取待测图像的LIOP特征描述子，然后以特征描述子间的夹角余弦值作为相似性度量，根据最近邻与次近邻的比值阈值寻找稳定的匹配点，最后计算匹配点对间的空间距离以移除误匹配点。实验结果表明，所提算法能够有效检测并定位复制粘贴篡改位置，而且算法检测的准确率高，能够抵抗缩放、旋转、亮度变化以及高斯模糊、加性高斯白噪声、JPEG压缩等后期处理操作。

Abstract

Copy-move forgery was one of the most simple and common way of image manipulations.To improve the ro-bustness of most existing copy-move forgery detections

a new method based on local intensity order pattern was pro-posed.First

the LIOP feature descriptors were exacted from the inspected image.Then the angular cosine of feature de-scriptors were used to measure the similarity

and the stable matching points were found according to the distance ratio threshold of the nearest neighbor point to the second nearest neighbor.Finally

the space distance of the matching points were calculated to remove the false matching points.Extensive experimental results were presented to confirm that the proposed method is not only able to effectively identify and locate the altered area

but also have high accuracy and ro-bust to scaling

rotation

brightness change and some post-processing

such as Gaussian blur

additive white Gaussian noise and JPEG compression.

关键词

Keywords

references

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