A characterization of MFBD performance with partial adaptive optics compensation

R. Holmes; M. Werth

doi:10.1117/12.2565813

20 August 2020 A characterization of MFBD performance with partial adaptive optics compensation

R. Holmes, M. Werth

Proceedings Volume 11508, Unconventional Imaging and Adaptive Optics 2020; 115080A (2020) https://doi.org/10.1117/12.2565813
Event: SPIE Optical Engineering + Applications, 2020, Online Only

Abstract

The performance of a modern multi-frame blind deconvolution (MFBD) technique is characterized versus Strehl ratio utilizing a wave-optics simulation. Modern MFBD performs a nonlinear optimization of the likelihood of the data by varying the underlying image, constrained by positivity and support constraints. Because such algorithms are not believed to be amenable to analysis, the characterization is performed utilizing a wave-optics simulation with varying turbulence strengths, a variety of adaptive optics (AO) configurations in up-looking geometries, and diverse objects. The imaging performance of the MFBD algorithm is characterized in terms of normalized cross-correlation. The results indicate that utilizing both MFBD and low-resolution AO can provide acceptable images that are up to 3 Mv dimmer than either MFBD alone or high-resolution AO alone.

Conference Presentation

Citation Download Citation

R. Holmes and M. Werth "A characterization of MFBD performance with partial adaptive optics compensation", Proc. SPIE 11508, Unconventional Imaging and Adaptive Optics 2020, 115080A (20 August 2020); https://doi.org/10.1117/12.2565813

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available