Multiframe restoration with a likelihood-based method

Premchandra M. Shankar, Mark A. Neifeld

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

Abstract

We achieve the reconstruction of a high-resolution object from multiple blurred, noisy, and shifted low-resolution images using the likelihood-based 2D4 algorithm. We demonstrate the performance benefits of 2D4 over a non-linear and optimal linear method.

Original languageEnglish (US)
Title of host publicationFrontiers in Optics, FiO 2005
PublisherOptical Society of America
ISBN (Print)1557527970, 9781557527974
StatePublished - Jan 1 2005
EventFrontiers in Optics, FiO 2005 - Tucson, AZ, United States
Duration: Oct 16 2005Oct 21 2005

Publication series

NameOptics InfoBase Conference Papers
ISSN (Electronic)2162-2701

Other

OtherFrontiers in Optics, FiO 2005
CountryUnited States
CityTucson, AZ
Period10/16/0510/21/05

ASJC Scopus subject areas

  • Instrumentation
  • Atomic and Molecular Physics, and Optics

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  • Cite this

    Shankar, P. M., & Neifeld, M. A. (2005). Multiframe restoration with a likelihood-based method. In Frontiers in Optics, FiO 2005 (Optics InfoBase Conference Papers). Optical Society of America.