Multiframe image restoration with wavelet domain regularization

Premchandra Shankar, Mark Neifeld

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

Abstract

We present a novel method for obtaining an object estimate from multiple blurred and noisy low-resolution images. We incorporate wavelet domain priors in a regularized restoration framework that uses the L-curve technique to find optimal regularization parameters.

Original languageEnglish (US)
Title of host publicationComputational Optical Sensing and Imaging, COSI 2007
PublisherOptical Society of America
ISBN (Print)1557528381, 9781557528384
StatePublished - Jan 1 2007
EventComputational Optical Sensing and Imaging, COSI 2007 - Vancouver, Canada
Duration: Jun 18 2007Jun 18 2007

Publication series

NameOptics InfoBase Conference Papers
ISSN (Electronic)2162-2701

Other

OtherComputational Optical Sensing and Imaging, COSI 2007
CountryCanada
CityVancouver
Period6/18/076/18/07

ASJC Scopus subject areas

  • Instrumentation
  • Atomic and Molecular Physics, and Optics

Fingerprint Dive into the research topics of 'Multiframe image restoration with wavelet domain regularization'. Together they form a unique fingerprint.

Cite this