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 publicationOptics InfoBase Conference Papers
PublisherOptical Society of America
ISBN (Print)1557527970, 9781557527974
StatePublished - 2005
EventFrontiers in Optics, FiO 2005 - Tucson, AZ, United States
Duration: Oct 16 2005Oct 21 2005

Other

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

Fingerprint

Reconstruction (structural)
image resolution
Image resolution
restoration
Restoration
high resolution

ASJC Scopus subject areas

  • Instrumentation
  • Atomic and Molecular Physics, and Optics

Cite this

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

Multiframe restoration with a likelihood-based method. / Shankar, Premchandra M.; Neifeld, Mark A.

Optics InfoBase Conference Papers. Optical Society of America, 2005.

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

Shankar, PM & Neifeld, MA 2005, Multiframe restoration with a likelihood-based method. in Optics InfoBase Conference Papers. Optical Society of America, Frontiers in Optics, FiO 2005, Tucson, AZ, United States, 10/16/05.
Shankar PM, Neifeld MA. Multiframe restoration with a likelihood-based method. In Optics InfoBase Conference Papers. Optical Society of America. 2005
Shankar, Premchandra M. ; Neifeld, Mark A. / Multiframe restoration with a likelihood-based method. Optics InfoBase Conference Papers. Optical Society of America, 2005.
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