Fast image restoration algorithm of differential confocal microscopy imaging

Guanyi Wang, Dali Liu, Lirong Qiu*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Super resolution image restoration algorithm proposed in this paper uses the method of maximum likelihood estimation (MLE) to take image restoration processing of 2D steps image scanned by differential confocal imaging system, assuming that the image is based on Poisson distribution. For optical imaging system, this paper puts forward the more accurate point spread function (PSF) and the concept of image interval matching, and introduces automatic acceleration method and the iteration terminating standard. Experiments on the 2-D image of standard steps indicated that a lateral resolution of 0.1μm has achieved and the recovery time has been obviously shorten.

Original languageEnglish
Title of host publication2013 International Conference on Optical Instruments and Technology
Subtitle of host publicationOptoelectronic Imaging and Processing Technology
DOIs
Publication statusPublished - 2013
Event2013 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology, OIT 2013 - Beijing, China
Duration: 17 Nov 201319 Nov 2013

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9045
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference2013 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology, OIT 2013
Country/TerritoryChina
CityBeijing
Period17/11/1319/11/13

Keywords

  • Maximum likelihood estimate (MLE)
  • PSF
  • Super resolution
  • Super resolution restoration

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