Histogram-based image hashing scheme robust against geometric deformations

Shijun Xiang, Hyoung Joong Kim, Jiwu Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

74 Citations (Scopus)

Abstract

In this paper, we propose a robust image hash algorithm by using the invariance of the image histogram shape to geometric deformations. Robustness and uniqueness of the proposed hash function are investigated in detail by representing the histogram shape as the relative relations in the number of pixels among groups of two different bins. It is found from extensive testing that the histogram-based hash function has a satisfactory performance to various geometric deformations, and is also robust to most common signal processing operations thanks to the use of Gaussian kernel low-pass filter in the preprocessing phase.

Original languageEnglish
Title of host publicationMM and Sec'07 - Proceedings of the Multimedia and Security Workshop 2007
Pages121-128
Number of pages8
DOIs
Publication statusPublished - 2007
EventMM and Sec'07 - 9th Multimedia and Security Workshop 2007 - Dallas, TX, United States
Duration: 2007 Sep 202007 Sep 21

Publication series

NameMM and Sec'07 - Proceedings of the Multimedia and Security Workshop 2007

Other

OtherMM and Sec'07 - 9th Multimedia and Security Workshop 2007
CountryUnited States
CityDallas, TX
Period07/9/2007/9/21

Keywords

  • Gaussian filter
  • Geometric deformation
  • Histogram
  • Image hashing
  • Robustness

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software

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  • Cite this

    Xiang, S., Kim, H. J., & Huang, J. (2007). Histogram-based image hashing scheme robust against geometric deformations. In MM and Sec'07 - Proceedings of the Multimedia and Security Workshop 2007 (pp. 121-128). (MM and Sec'07 - Proceedings of the Multimedia and Security Workshop 2007). https://doi.org/10.1145/1288869.1288886