A subspace method for fourier based image registration

Min Xu, Pramod K. Varshney, Ruixin Niu

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

3 Scopus citations

Abstract

Image registration is the process of estimating the misalignment between two images and then aligning the image pair. A popular approach for coarse registration is Fourier based. This paper enhances the current Fourier based registration approach by employing the MUSIC algorithm for frequency estimation. A more accurate registration result is achieved at the expense of additional computational complexity. Performance is comparable to a mutual information based registration algorithm but requires less computation.

Original languageEnglish (US)
Title of host publicationConference Record of the 40th Asilomar Conference on Signals, Systems and Computers, ACSSC '06
Pages425-429
Number of pages5
DOIs
StatePublished - Dec 1 2006
Event40th Asilomar Conference on Signals, Systems, and Computers, ACSSC '06 - Pacific Grove, CA, United States
Duration: Oct 29 2006Nov 1 2006

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393

Other

Other40th Asilomar Conference on Signals, Systems, and Computers, ACSSC '06
CountryUnited States
CityPacific Grove, CA
Period10/29/0611/1/06

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

Fingerprint Dive into the research topics of 'A subspace method for fourier based image registration'. Together they form a unique fingerprint.

Cite this