Regularized iterative image restoration algorithms applied to autoradiography

J. A. Goyette*, G. D. Lapin, M. G. Kang, Aggelos K Katsaggelos

*Corresponding author for this work

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

Abstract

In this paper the point spread function of autoradiography is experimentally measured and used with digital image restoration techniques to improve the resolution of autoradiographs. We compare two regularized iterative image restoration algorithms applied to autoradiography. A nonlinear filter is used for the removal of film grain noise prior to restoration. Our results indicate a 23% improvement in resolution.

Original languageEnglish (US)
Title of host publicationProceedings of the Annual Conference on Engineering in Medicine and Biology
PublisherPubl by IEEE
Pages490-491
Number of pages2
Editionpt 1
ISBN (Print)0780313771
StatePublished - Dec 1 1993
EventProceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - San Diego, CA, USA
Duration: Oct 28 1993Oct 31 1993

Publication series

NameProceedings of the Annual Conference on Engineering in Medicine and Biology
Numberpt 1
Volume15
ISSN (Print)0589-1019

Other

OtherProceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
CitySan Diego, CA, USA
Period10/28/9310/31/93

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

Fingerprint Dive into the research topics of 'Regularized iterative image restoration algorithms applied to autoradiography'. Together they form a unique fingerprint.

Cite this