Digital forgery image detection algorithm based on wavelet homomorphic filtering

Jiangbin Zheng; Miao Liu

doi:10.1007/978-3-642-04438-0_13

Digital forgery image detection algorithm based on wavelet homomorphic filtering

Jiangbin Zheng, Miao Liu

School of Software

Northwestern Polytechnical University Xian

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

15 Scopus citations

Abstract

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.

Original language	English
Title of host publication	Digital Watermarking - 7th International Workshop, IWDW 2008, Selected Papers
Pages	152-160
Number of pages	9
DOIs	https://doi.org/10.1007/978-3-642-04438-0_13
State	Published - 2009
Event	7th International Workshop on Digital Watermarking, IWDW 2008 - Busan, Korea, Republic of Duration: 10 Nov 2008 → 12 Nov 2008

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5450 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	7th International Workshop on Digital Watermarking, IWDW 2008
Country/Territory	Korea, Republic of
City	Busan
Period	10/11/08 → 12/11/08

Keywords

Blur edges
Digital forgery image detection
Wavelet homomorphic filtering

Access to Document

10.1007/978-3-642-04438-0_13

Cite this

Zheng, J., & Liu, M. (2009). Digital forgery image detection algorithm based on wavelet homomorphic filtering. In Digital Watermarking - 7th International Workshop, IWDW 2008, Selected Papers (pp. 152-160). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5450 LNCS). https://doi.org/10.1007/978-3-642-04438-0_13

@inproceedings{9039cf58561d4077b2d79dd96665b59d,

title = "Digital forgery image detection algorithm based on wavelet homomorphic filtering",

abstract = "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.",

keywords = "Blur edges, Digital forgery image detection, Wavelet homomorphic filtering",

author = "Jiangbin Zheng and Miao Liu",

year = "2009",

doi = "10.1007/978-3-642-04438-0_13",

language = "英语",

isbn = "3642044379",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "152--160",

booktitle = "Digital Watermarking - 7th International Workshop, IWDW 2008, Selected Papers",

note = "7th International Workshop on Digital Watermarking, IWDW 2008 ; Conference date: 10-11-2008 Through 12-11-2008",

}

Zheng, J & Liu, M 2009, Digital forgery image detection algorithm based on wavelet homomorphic filtering. in Digital Watermarking - 7th International Workshop, IWDW 2008, Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5450 LNCS, pp. 152-160, 7th International Workshop on Digital Watermarking, IWDW 2008, Busan, Korea, Republic of, 10/11/08. https://doi.org/10.1007/978-3-642-04438-0_13

Digital forgery image detection algorithm based on wavelet homomorphic filtering. / Zheng, Jiangbin; Liu, Miao.
Digital Watermarking - 7th International Workshop, IWDW 2008, Selected Papers. 2009. p. 152-160 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5450 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Zheng, Jiangbin

AU - Liu, Miao

PY - 2009

Y1 - 2009

N2 - 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.

AB - 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.

KW - Blur edges

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KW - Wavelet homomorphic filtering

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SN - 9783642044373

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Digital Watermarking - 7th International Workshop, IWDW 2008, Selected Papers

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Y2 - 10 November 2008 through 12 November 2008

ER -

Digital forgery image detection algorithm based on wavelet homomorphic filtering

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