Journal of South China University of Technology (Natural Science Edition) ›› 2011, Vol. 39 ›› Issue (7): 77-82.doi: 10.3969/j.issn.1000-565X.2011.07.013

• Electronics, Communication & Automation Technology • Previous Articles     Next Articles

Passive Forensics Algorithm of Tampered Image by Detecting Edge Blurring Manipulation

Zhao Jun-hong   

  1. School of Automation Science and Engineering,South China University of Technology,Guangzhou 510640,Guangdong,China
  • Received:2010-12-17 Revised:2011-04-10 Online:2011-07-25 Published:2011-06-03
  • Contact: 赵俊红(1976-) ，女，博士生，讲师，主要从事数字图像处理、多媒体安全、智能控制研究． E-mail:jhzhao@scut.edu.cn
  • About author:赵俊红(1976-) ，女，博士生，讲师，主要从事数字图像处理、多媒体安全、智能控制研究．
  • Supported by:

    国家自然科学基金资助项目( 60772115)

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Abstract:

Aiming at the edge blurring manipulation in image tampering,a new algorithm for image forensics is presented. In this algorithm,first,the tampered blurring edge is enhanced based on the fuzzy mathematics,while the real clear edge and flat region is weakened,thus obtaining an image. Next,the tampered image is divided into many sub-images,which are then classified to remove flat regions and real clear sharp edges by using the attribute
reduction of rough set theory,thus obtaining another image. Finally,a fusion of the two above-mentioned images is performed to obtain the resulting image. Experimental results show that the proposed algorithm is an effective passive forensics method that reveals the blurred regions but excludes flat regions and real clear sharp edges.

Key words: image processing, passive forensics, fuzzy enhancement, rough set

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