Paper Title:
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.

  Info
Periodical
Key Engineering Materials (Volumes 439-440)
Edited by
Yanwen Wu
Pages
1018-1023
DOI
10.4028/www.scientific.net/KEM.439-440.1018
Citation
D. L. Cui, Y. F. Liu, J. L. Zuo, "Robust Hash for Detecting and Localizing Image Tampering", Key Engineering Materials, Vols. 439-440, pp. 1018-1023, 2010
Online since
June 2010
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Price
$32.00
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Chapter 2: Image Processing Technology
Abstract:A fingerprint-based digital watermark algorithm for image processing is proposed. Firstly, the watermark is done the scrambling by the Arnold...
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