Digital forgery image detection algorithm based on wavelet homomorphic filtering

Jiangbin Zheng, Miao Liu

科研成果: 书/报告/会议事项章节会议稿件同行评审

15 引用 (Scopus)

摘要

A novel forgery image detection algorithm is proposed to recognize some traces of artificial blur operation that is one of common ways to forge a digital image. Firstly, a wavelet homonorphic filtering is applied to enhance the high frequency edges after the blurring process. Secondly, the natural edges are eroded by mathematical morphology method, and then the enhanced artificial blur edges are preserved. Finally, the forgery image regions are localized by the region labeling method. Experimental results demonstrate the proposed method can detect forgery area accurately and reduce the detecting errors when some artificial blur operations are used to create a forgery image.

源语言英语
主期刊名Digital Watermarking - 7th International Workshop, IWDW 2008, Selected Papers
152-160
页数9
DOI
出版状态已出版 - 2009
活动7th International Workshop on Digital Watermarking, IWDW 2008 - Busan, 韩国
期限: 10 11月 200812 11月 2008

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
5450 LNCS
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议7th International Workshop on Digital Watermarking, IWDW 2008
国家/地区韩国
Busan
时期10/11/0812/11/08

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