Paper
17 October 1997 Deconvolution of adaptive optics near-infrared system (ADONIS) images
Author Affiliations +
Abstract
Post processing of data obtained from the European Southern Observatory’s ADONIS system is presented here. A physically constrained iterative deconvolution algorithm is applied to both bright and faint object data demonstrating both object and point spread function recovery. Comparisons are made with standard linear and non-linear deconvolution algorithms. Simulated data is used to investigate the combined system and post-processing performance on faint extended objects.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Julian C. Christou, Domenico Bonaccini, and Nancy Ageorges "Deconvolution of adaptive optics near-infrared system (ADONIS) images", Proc. SPIE 3126, Adaptive Optics and Applications, (17 October 1997); https://doi.org/10.1117/12.279065
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Cited by 3 scholarly publications.
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KEYWORDS
Point spread functions

Deconvolution

Adaptive optics

Signal to noise ratio

Stars

Speckle

Error analysis

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