Open AccessJournal Article
Attainment of diffraction limited resolution in large telescopes by Fourier analysing speckle patterns in star images
482
About: This article is published in SPIE milestone series. The article was published on 01 Jan 1991. and is currently open access. The article focuses on the topics: Speckle imaging & Speckle pattern.
read more
Chat with Paper
AI Agents for this Paper
Find similar papers on Google Scholar, PubMed and Arxiv
Write a critical review of this paper
Analyze citations of this paper to find unaddressed research gaps
Citations
Calibrating a CCD Camera for Speckle Interferometry
Richard Harshaw
- 01 Sep 2015
TL;DR: In this paper, the authors describe several approaches to calibrating the pixel scale of a camera and suggest that using a transmission diffraction grating with a monochromatic light source is the best method.
2
High-order correlation technique for imaging through turbulence
TL;DR: In this article, a robust technique for achieving nearly diffraction-limited imaging through the Earth's atmosphere is developed, which makes it possible to approximate the angular Fourier spectrum of any desired object without any recursion procedure for reconstruction of the phase spectrum.
2
•Dissertation
Blind deconvolution in scientific imaging & computational photography
Michael Hirsch
- 01 Jan 2011
2
A search for binary stars using speckle interferometry
Matthew F. Hoffmann
- 01 Jan 2000
TL;DR: In this paper, the Pixel Scale Derivation of Relative Astrometry from the Raw Data Results Positive Results: Four True Binary Stars Position Data For the Other Star Systems Discussion Conclusions References
Significance of the recovery filter in deconvolution from wavefront sensing
Justo Arines,Salvador Bara Vinas +1 more
TL;DR: A model for evaluating the performance of deconvolution from wavefront sensing systems, including a realistic simulation of the wavefront sensor measurements under high and low photon fluxes, shows a performance substantially similar to that of the modified Wiener and regression filters.
2