Detecting of copy-move forgery in digital images using fractional Fourier transform

Renqing Yang; Zhengyao Bai; Liguo Yin; Hao Gao

doi:10.1117/12.2197146

6 July 2015 Detecting of copy-move forgery in digital images using fractional Fourier transform

Renqing Yang, Zhengyao Bai, Liguo Yin, Hao Gao

Proceedings Volume 9631, Seventh International Conference on Digital Image Processing (ICDIP 2015); 96310B (2015) https://doi.org/10.1117/12.2197146
Event: Seventh International Conference on Digital Image Processing (ICDIP15), 2015, Los Angeles, United States

Abstract

Copy-move forgery is one of the most simple and commonly used forging methods, where a part of image itself is copied and pasted on another part of the same image. This paper presents a new approach for copy-move forgery detection where fractional Fourier transform (FRFT) is used. First, the 1-level discrete wavelet transform (DWT) of the forged image is to reduce its dimension. Next, the low frequency the sub-band is divided into overlapped blocks of equal size. The fractional Fourier transform of each block is calculated and the vector of the coefficients is constructed. All feature vectors are sorted using lexicographical order. Finally, the difference of adjacent feature vectors is evaluated and employed to locate the duplicated regions which have the same feature vectors. Experimental results show that the proposed method is effective in detection of the copy-move forgery regions.

Citation Download Citation

Renqing Yang, Zhengyao Bai, Liguo Yin, and Hao Gao "Detecting of copy-move forgery in digital images using fractional Fourier transform", Proc. SPIE 9631, Seventh International Conference on Digital Image Processing (ICDIP 2015), 96310B (6 July 2015); https://doi.org/10.1117/12.2197146

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