Image restoration of multiple noisy images by use of a priori knowledge of the anisoplanatic point-spread function

D. R. Gerwe*, Martin A Plonus

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

We propose and simulate an iterative maximum-likelihood image reconstruction method that uses multiple images taken through the turbulent atmosphere under photon-limited conditions. The method assumes that the point-spread function corresponding to each image has been measured by a guide star or other technique. Although a guide star is still required, wave-front correction is achieved through postprocessing instead of by the mechanical methods currently used with adaptive optics. A restored image of greatly increased quality was found to be produced after only 10 iterations. Additional iterations continued to reduce the mean-square error.

Original languageEnglish (US)
Pages (from-to)83-85
Number of pages3
JournalOptics Letters
Volume23
Issue number2
DOIs
StatePublished - Jan 15 1998

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics

Fingerprint Dive into the research topics of 'Image restoration of multiple noisy images by use of a priori knowledge of the anisoplanatic point-spread function'. Together they form a unique fingerprint.

Cite this