Reconstruction of images degraded by aerosol scattering and measurement noise

Mohamed E. Hanafy; Michael C. Roggemann; Durdu O. Guney

doi:10.1117/1.OE.54.3.033101

2 March 2015 Reconstruction of images degraded by aerosol scattering and measurement noise

Mohamed E. Hanafy, Michael C. Roggemann, Durdu O. Guney

Author Affiliations +

Optical Engineering, Vol. 54, Issue 3, 033101 (March 2015). https://doi.org/10.1117/1.OE.54.3.033101

Abstract

Images measured through the atmosphere are degraded by scattering and absorption from aerosols along the path and by atmospheric turbulence. In the presence of heavy scattering at visible and infrared wavelengths, the distances over which reasonable observations are possible are quite short compared to astronomical imaging paradigms, and aerosol scattering effects dominate the degradation of the point spread function (PSF) due to atmospheric effects. In addition to aerosol-induced blurring, measurement noise effects are present in observed images. We examine the problem of reconstructing images degraded by aerosol blur and measurement noise using estimates of the overall PSF, which account for unscattered and scattered radiation detected by the imaging system. Representative images of a spoke target acquired under various conditions of scattering and photon flux levels were simulated, and reconstruction of the degraded images is performed using two linear reconstruction algorithms: a Wiener filter and a constrained least squares filter. Results of the reconstructions show that spatial resolution can be recovered in badly blurred images up to the limit imposed by the noise effective cutoff spatial frequency of the measurement.

Citation Download Citation

Mohamed E. Hanafy, Michael C. Roggemann, and Durdu O. Guney "Reconstruction of images degraded by aerosol scattering and measurement noise," Optical Engineering 54(3), 033101 (2 March 2015). https://doi.org/10.1117/1.OE.54.3.033101

Published: 2 March 2015

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