Subspace Representation of Registration and Reconstruction in Multi-Frame Super-Resolution


Akyol A., Gokmen M.

23rd International Symposium on Computer and Information Sciences, İstanbul, Turkey, 27 - 29 October 2008, pp.38-43 identifier

  • Publication Type: Conference Paper / Full Text
  • City: İstanbul
  • Country: Turkey
  • Page Numbers: pp.38-43

Abstract

Multi-frame Super-Resolution Reconstruction (SRR) problem has two bottlenecks; under constrained reconstruction and observation registration. Currently there is no practical solution for these problems, even in domain-specific cases. In this work we suggest solutions for both of these problems. SRR problem is transformed to a reduced space to render an over-constraint problem. Thus significant amount of computational saving and robustness is obtained. Moreover instead of estimating registration parameters we follow a more direct way and employ deformable modes to register observations to the reference frame. By combining these two solutions we obtain faster, more flexible and superior SRR results.