Image copy-move forgery detection based on “crossing shadow” division

Author

Hou, Dongmei ; Bai, Zhengyao ; Liu, Shuchun

Author_Institution

Sch. of Inf. Sci. & Eng., Yunnan Univ., Kunming, China

fYear

2011

fDate

15-17 April 2011

Firstpage

1416

Lastpage

1419

Abstract

A new image division method is proposed to detect image copy-move forgery. First, discrete wavelet transform (DWT) is applied to the input image to yield a reduced dimension representation. Then divide the reduced dimension representation into nine sub-images by using "crossing shadow" division. Next, calculate phase correlation and pulse to obtain spatial offset between the copied and the pasted part. With that, the copy-move regions can be easily located by virtue of pixel matching. Finally, the mathematical morphological operations were used to improve the detection. Experimental results show that this method can be implemented more conveniently and it has a wide application.

Keywords

discrete wavelet transforms; image matching; image representation; mathematical morphology; reproduction (copying); security of data; crossing shadow; discrete wavelet transform; forgery detection; image copy move; image division method; image representation; mathematical morphology; phase correlation; pixel matching; Computational complexity; Correlation; Discrete wavelet transforms; Forgery; Fourier transforms; Pixel; copy-move forgery; crossing shadow; phase correlation; pulse;

fLanguage

English

Publisher

ieee

Conference_Titel

Electric Information and Control Engineering (ICEICE), 2011 International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-8036-4

Type

conf

DOI

10.1109/ICEICE.2011.5778232

Filename

5778232