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Content-based image hashing using wave atoms |
| Liu Fang(刘芳)a)†, Leung Hon-Yin(梁瀚贤)a), Cheng Lee-Ming(郑利明)a), and Ji Xiao-Yong(季晓勇)b) |
a. Department of Electronic Engineering, City University of Hong Kong, Hong Kong SAR, China;
b. School of Electronic Science and Engineering, Nanjing University, Nanjing 210093, China |
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Abstract It is well known that robustness, fragility, and security are three important criteria of image hashing; however how to build a system that can strongly meet these three criteria is still a challenge. In this paper, a content-based image hashing scheme using wave atoms is proposed, which satisfies the above criteria. Compared with traditional transforms like wavelet transform and discrete cosine transform (DCT), wave atom transform is adopted for the sparser expansion and better characteristics of texture feature extraction which shows better performance in both robustness and fragility. In addition, multi-frequency detection is presented to provide an application-defined trade-off. To ensure the security of the proposed approach and its resistance to a chosen-plaintext attack, a randomized pixel modulation based on the Rényi chaotic map is employed, combining with the nonliner wave atom transform. The experimental results reveal that the proposed scheme is robust against content-preserving manipulations and has a good discriminative capability to malicious tampering.
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Received: 02 June 2011
Revised: 01 November 2011
Accepted manuscript online:
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PACS:
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02.70.-c
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(Computational techniques; simulations)
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05.45.Gg
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(Control of chaos, applications of chaos)
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42.30.Va
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(Image forming and processing)
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43.60.Hj
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(Time-frequency signal processing, wavelets)
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Corresponding Authors:
Liu Fang, E-mail:f.liu@student.cityu.edu.hk
E-mail: f.liu@student.cityu.edu.hk
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Cite this article:
Liu Fang(刘芳), Leung Hon-Yin(梁瀚贤), Cheng Lee-Ming(郑利明), and Ji Xiao-Yong(季晓勇) Content-based image hashing using wave atoms 2012 Chin. Phys. B 21 040204
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