Joint image registration and super-resolution reconstruction based on regularized total least norm

Qing Wang, Xiaoli Song

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

7 Scopus citations

Abstract

Accurate registration of the low resolution (LR) images is a critical step in image super resolution reconstruction (SRR). Conventional algorithms always use invariable motion parameters derived from registration algorithms, and carry on SRR without considering the registration errors in the disjointed method. In this paper we propose a new method that performs joint image registration and SRR based on regularized total least norm (RTLN), updating the motion parameters and HR image simultaneously. Not only translation but also rotation motion are considered, which makes the motion model more universal. Experimental results have shown that our approach is more effective and efficient than traditional ones.

Original languageEnglish
Title of host publication2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings
PublisherIEEE Computer Society
Pages1537-1540
Number of pages4
ISBN (Print)9781424456543
DOIs
StatePublished - 2009
Event2009 IEEE International Conference on Image Processing, ICIP 2009 - Cairo, Egypt
Duration: 7 Nov 200910 Nov 2009

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Conference

Conference2009 IEEE International Conference on Image Processing, ICIP 2009
Country/TerritoryEgypt
CityCairo
Period7/11/0910/11/09

Keywords

  • Image registration
  • Regularized total least norm (RTLN)
  • Super resolution reconstruction (SRR)

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