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International Workshop on Digital Watermarking

IWDW 2011: Digital Forensics and Watermarking pp 468–478Cite as

Perceptual Image Hashing via Wave Atom Transform

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Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 7128))

Abstract

This paper presents a perceptual image hashing algorithm based on wave atom transform, which can authenticate the content preserved images and distinguish the content altered ones in authentication module. Wave atoms are employed since it has significantly sparser expansion and better feature extraction capability than traditional transforms, like wavelet and DCT. In addition, a randomized pixel modulation based on RC4 algorithm is performed to ensure the security. According to the experimental results, the proposed scheme is sensitive to content-alteration attacks with the resiliency to contentpreserving operations, such as JPEG compression, Gaussian noise and contrast enhancement. Moreover, compared with some other image hashing algorithms, the proposed approach also achieves better performance at the aspect of robustness.

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Author information

Authors and Affiliations

  1. Department of Electronic Engineering, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon Tong, Hong Kong

    Fang Liu & Lee-Ming Cheng

Authors
  1. Fang Liu
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  2. Lee-Ming Cheng
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Editor information

Editors and Affiliations

  1. New Jersey Institute of Technology (NJIT), 07102, Newark, NJ, USA

    Yun Qing Shi

  2. Graduate School of Information Management and Security, CIST, Korea University, 136-701, Seoul, South Korea

    Hyoung-Joong Kim

  3. Center in Advanced Telecommunications), Galician Research and Development, Campus Universitario, 3610, Vigo, Spain

    Fernando Perez-Gonzalez

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© 2012 Springer-Verlag Berlin Heidelberg

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Cite this paper

Liu, F., Cheng, LM. (2012). Perceptual Image Hashing via Wave Atom Transform. In: Shi, Y.Q., Kim, HJ., Perez-Gonzalez, F. (eds) Digital Forensics and Watermarking. IWDW 2011. Lecture Notes in Computer Science, vol 7128. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32205-1_37

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  • DOI: https://doi.org/10.1007/978-3-642-32205-1_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32204-4

  • Online ISBN: 978-3-642-32205-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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