Exposing Digital Forgeries by Detecting Image Blurred Mathematical Morphology Edge

ZHOU Lin-na; WANG Dong-ming; GUO Yun-biao; YANG Yi-xian

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Exposing Digital Forgeries by Detecting Image Blurred Mathematical Morphology Edge

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- Exposing Digital Forgeries by Detecting Image Blurred Mathematical Morphology Edge
- Acta Electronica Sinica Vol. 36, Issue 6, Pages: 1047-1051(2008)
- 作者机构：
  
  1. 北京邮电大学信息安全中心,北京,100876
  2. 北京电子技术应用研究所,北京,100091
  3. 中国证券监督管理委员会信息中心,北京,100032
  4. 北京邮电大学信息安全中心,北京,100876
  5. 北京电子技术应用研究所北京,100091
  6. 中国证券监督管理委员会信息中心北京,100032
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391
- Published：2008
- 稿件说明：
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ZHOU Lin-na, WANG Dong-ming, GUO Yun-biao, et al. Exposing Digital Forgeries by Detecting Image Blurred Mathematical Morphology Edge[J]. Acta Electronica Sinica, 2008, 36(6): 1047-1051.
DOI：

ZHOU Lin-na, WANG Dong-ming, GUO Yun-biao, et al. Exposing Digital Forgeries by Detecting Image Blurred Mathematical Morphology Edge[J]. Acta Electronica Sinica, 2008, 36(6): 1047-1051. DOI：

摘要

针对数字伪造合成图像中最常用的模糊操作

本文提出了一种基于图像形态学滤波边缘特性的盲取证算法;该方法用同态滤波和形态学滤波的方法增强了模糊操作的图像边缘

分析了离焦模糊和人工模糊边界特点

利用离焦模糊和人工模糊的边缘特性实现了针对数字图像伪造的被动盲取证;实验表明

该方法能够有效地检测伪造数字图像的模糊操作痕迹

并能对已模糊操作的图像局部进行准确定位.

Abstract

A novel image forensic detection scheme for digitial images was proposed in this paper

which can determine whether an image is tampered or not using blue operation.The difference between artifical blur and defocus blur can be indicaded by edge processing using homostasis filtering and mathematical morphology.The blue tampered regions can be detected by blur edge analysis.Experimental results demonstrate the effectiveness of the proposed scheme.

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