Copy move image forgery detection method using steerable pyramid transform and texture descriptor

Author

Muhammad, Ghulam ; Al-Hammadi, Muneer H. ; Hussain, Mutawarra ; Mirza, Anwar M. ; Bebis, G.

Author_Institution

Dept. of Comput. Eng., King Saud Univ., Riyadh, Saudi Arabia

fYear

2013

fDate

1-4 July 2013

Firstpage

1586

Lastpage

1592

Abstract

In this paper, we propose a passive copy move image forgery detection method using a steerable pyramid transform (SPT) and Local Binary Pattern (LBP). SPT is applied on a grayscale version or one of the YCbCr channels of an image. LBP is applied to describe the texture in each SPT subband. Then the support vector machine (SVM) uses the LBP feature extracted from SPT sub-bands in classifying images into tampered or authentic images. Experimental results show an excellent effectiveness for the proposed method in some combinations of SPT sub-band.

Keywords

data compression; feature extraction; image classification; image coding; image colour analysis; image texture; support vector machines; wavelet transforms; LBP feature extraction; SPT subband; SVM; YCbCr channels; authentic images; chrominance component; color image; copy move image forgery detection method; grayscale version; image classification; local binary pattern; passive copy move image forgery detection method; steerable pyramid transform; support vector machine; tampered images; texture descriptor; Accuracy; Feature extraction; Forgery; Gray-scale; Support vector machines; Transforms; Vectors; Steerable pyramid transform; chrominance; copy move image forgery; local binary pattern; luminance; support vector machine;

fLanguage

English

Publisher

ieee

Conference_Titel

EUROCON, 2013 IEEE

Conference_Location

Zagreb

Print_ISBN

978-1-4673-2230-0

Type

conf

DOI

10.1109/EUROCON.2013.6625188

Filename

6625188