Improvement of radon-based image hashing using image normalization

Kelsey Ramirez, Mariko Nakano, Hector Perez

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Image Hashing has several applications such as image authentication, image indexing and broadcast monitoring. In the content authentication applications, the hash values of perceptually similar images generated by content preserving modification, such as compression and moderate geometric distortions, also must be similar. Taking this into account we propose an improvement of the Radon transformbased image hashing algorithms, introducing an image normalization algorithm in the preprocessing stage. In the proposed scheme, robustness against geometrical distortions is increased considerably, while keeping the robustness to other content preserving modifications, such as compression, and filtering, which are offered by Radon transform.

Original languageEnglish
Title of host publicationProceedings - 2011 IEEE Electronics, Robotics and Automotive Mechanics Conference, CERMA 2011
Pages173-177
Number of pages5
DOIs
StatePublished - 2011
Event2011 IEEE Electronics, Robotics and Automotive Mechanics Conference, CERMA 2011 - Cuernavaca, Morelos, Mexico
Duration: 15 Nov 201118 Nov 2011

Publication series

NameProceedings - 2011 IEEE Electronics, Robotics and Automotive Mechanics Conference, CERMA 2011

Conference

Conference2011 IEEE Electronics, Robotics and Automotive Mechanics Conference, CERMA 2011
Country/TerritoryMexico
CityCuernavaca, Morelos
Period15/11/1118/11/11

Keywords

  • Fourier Transform
  • Normalization
  • Radon Transform

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