Robust Hash for Detecting and Localizing Image Tampering

De Long Cui; Yong Fu Liu; Jing Long Zuo

doi:10.4028/www.scientific.net/KEM.439-440.1018

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HomeKey Engineering MaterialsKey Engineering Materials Vols. 439-440Robust Hash for Detecting and Localizing Image...

Robust Hash for Detecting and Localizing Image Tampering

Abstract:

In order to improve the sensitive to illegal manipulations of image hashing, a novel robust image hashing algorithm based on fractional Fourier transform (FRFT) for detecting and localizing image tampering is proposed in this paper. The framework of generating an image hashing includes three steps: preprocessing, feature extracting and post processing. The robust hashing sequence is obtained by FRFT coefficients of image blocks. The security of proposed algorithm is totally depended on the orders of FRFT which are saved as secret keys. Experimental results show that the proposed scheme is robust against perceptually acceptable modifications to the image such as JPEG compression, mid-filtering, and rotation, more importantly the tampered place can be identified accurately.

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Periodical:

Key Engineering Materials (Volumes 439-440)

Pages:

1018-1023

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.439-440.1018

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Online since:

June 2010

Authors:

De Long Cui, Yong Fu Liu, Jing Long Zuo

Keywords:

Encryption Key, Fractional Fourier Transform (FrFT), Image Hashing, Image Tampering Detecting, Image Tampering Localizing, Normalized Hamming Distance

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