Histogram-based image hashing scheme robust against geometric deformations

Shijun Xiang, Hyong Joong Kim, Jiwu Huang

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

70 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 Dec 1
EventMM and Sec'07 - 9th Multimedia and Security Workshop 2007 - Dallas, TX, United States
Duration: 2007 Sep 202007 Sep 21

Other

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

Fingerprint

Hash functions
Low pass filters
Bins
Invariance
Signal processing
Pixels
Testing

Keywords

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

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software

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) https://doi.org/10.1145/1288869.1288886

Histogram-based image hashing scheme robust against geometric deformations. / Xiang, Shijun; Kim, Hyong Joong; Huang, Jiwu.

MM and Sec'07 - Proceedings of the Multimedia and Security Workshop 2007. 2007. p. 121-128.

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

Xiang, S, Kim, HJ & 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 - 9th Multimedia and Security Workshop 2007, Dallas, TX, United States, 07/9/20. https://doi.org/10.1145/1288869.1288886
Xiang S, Kim HJ, Huang J. Histogram-based image hashing scheme robust against geometric deformations. In MM and Sec'07 - Proceedings of the Multimedia and Security Workshop 2007. 2007. p. 121-128 https://doi.org/10.1145/1288869.1288886
Xiang, Shijun ; Kim, Hyong Joong ; Huang, Jiwu. / Histogram-based image hashing scheme robust against geometric deformations. MM and Sec'07 - Proceedings of the Multimedia and Security Workshop 2007. 2007. pp. 121-128
@inproceedings{4feb4ce95250489f8fd9ad9bbaa9f8cd,
title = "Histogram-based image hashing scheme robust against geometric deformations",
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.",
keywords = "Gaussian filter, Geometric deformation, Histogram, Image hashing, Robustness",
author = "Shijun Xiang and Kim, {Hyong Joong} and Jiwu Huang",
year = "2007",
month = "12",
day = "1",
doi = "10.1145/1288869.1288886",
language = "English",
isbn = "9781595938572",
pages = "121--128",
booktitle = "MM and Sec'07 - Proceedings of the Multimedia and Security Workshop 2007",

}

TY - GEN

T1 - Histogram-based image hashing scheme robust against geometric deformations

AU - Xiang, Shijun

AU - Kim, Hyong Joong

AU - Huang, Jiwu

PY - 2007/12/1

Y1 - 2007/12/1

N2 - 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.

AB - 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.

KW - Gaussian filter

KW - Geometric deformation

KW - Histogram

KW - Image hashing

KW - Robustness

UR - http://www.scopus.com/inward/record.url?scp=38849134763&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=38849134763&partnerID=8YFLogxK

U2 - 10.1145/1288869.1288886

DO - 10.1145/1288869.1288886

M3 - Conference contribution

SN - 9781595938572

SP - 121

EP - 128

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

ER -