IEICE Electronics Express
Online ISSN : 1349-2543
ISSN-L : 1349-2543
LETTER
Image hashing framework for tampering localization in distorted images
Yuan-Yuan HuHao LuoXia-Mu Niu
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JOURNALS FREE ACCESS

2010 Volume 7 Issue 22 Pages 1679-1685

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Abstract

Many image hashing algorithms have been proposed to detect the malicious tampering for content authentication. However, their tampering localization performance degrades dramatically on images with content-preserving distortion, as these algorithms cannot distinguish the malicious tampering from content-preserving distortion. A novel framework for existing hashing algorithms to improve their performance on tampering localization in distorted images is proposed in this paper. High precision of tampering localization in distorted images is achieved by controlling the robustness of extracted features. By experimenting with classical image hashing algorithms, the correctness of the proposed framework is proved.

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© 2010 by The Institute of Electronics, Information and Communication Engineers
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