Paper
11 September 1998 Comparison of image reconstruction algorithms using adaptive optics instrumentation
David W. Tyler, Stephen D. Ford, Bobby R. Hunt, Richard G. Paxman, Michael C. Roggemann, Janet C. Rountree, Timothy J. Schulz, Kathy J. Schulze, John H. Seldin, David G. Sheppard, Bruce E. Stribling, William C. van Kampen, Byron M. Welch
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Abstract
We present preliminary results from a comparison of image estimation and recovery algorithms developed for use with advanced telescope instrumentation and adaptive optics systems. Our study will quantitatively compare the potential of these techniques to boost the resolution of imagery obtained with undersampled or low-bandwidth adaptive optics; example applications are optical observations with IR- optimized AO, AO observations in server turbulence, and AO observations with dim guidestars. We will compare the algorithms in terms of morphological and relative radiometric accuracy as well as computational efficiency. Here, we present qualitative comments on image results for two levels each of seeing, object brightness, and AO compensation/wavefront sensing.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David W. Tyler, Stephen D. Ford, Bobby R. Hunt, Richard G. Paxman, Michael C. Roggemann, Janet C. Rountree, Timothy J. Schulz, Kathy J. Schulze, John H. Seldin, David G. Sheppard, Bruce E. Stribling, William C. van Kampen, and Byron M. Welch "Comparison of image reconstruction algorithms using adaptive optics instrumentation", Proc. SPIE 3353, Adaptive Optical System Technologies, (11 September 1998); https://doi.org/10.1117/12.321659
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CITATIONS
Cited by 11 scholarly publications.
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KEYWORDS
Adaptive optics

Image restoration

Reconstruction algorithms

Turbulence

Optical transfer functions

Deconvolution

Image analysis

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