Algorithm to reduce anisoplanatism effects on infrared images

Michael C. Roggemann; Byron M. Welsh; Troy L. Klein

doi:10.1117/12.409295

17 November 2000 Algorithm to reduce anisoplanatism effects on infrared images

Michael C. Roggemann, Byron M. Welsh, Troy L. Klein

Proceedings Volume 4125, Propagation and Imaging through the Atmosphere IV; (2000) https://doi.org/10.1117/12.409295
Event: International Symposium on Optical Science and Technology, 2000, San Diego, CA, United States

Abstract

Atmospheric turbulence adversely affects imaging systems by causing a random distribution of the index of refraction of the air through which the light must propagate. The resulting image degradation can seriously undermine the effectiveness of the sensor. In many astronomical systems, which typically have a very narrow field of view, the entire image can be modeled by the convolution of the object with a single point spread function (PSF), and as a result of the narrow field of view, adaptive optical systems can be highly effective in correcting astronomical images. In the case of tactical infrared sensors the field of view is generally much larger than the isoplanatic angle, and the image cannot be modeled by a single point spread function convolved with the scene. Hence, adaptive optical solutions to wide angle infrared imaging over horizontal paths would be difficult, if not impossible, and post-detection processing of the images is required to mitigate turbulence effects. The overall effect of turbulence within a given isoplanatic path is not as strong as in the astronomical imaging case due to shorter paths and longer wavelengths. Tilt and low order turbulence modes dominate the aberration experienced within individual isoplanatic patches, greatly simplifying image reconstruction problems. In this paper we describe an algorithm for processing video sequences capable of partially correcting these turbulence effects. The algorithm is based on block matching algorithms used in video compression. Simulation results show that this algorithm reduces the squared error of the imagery, and subjectively better images are obtained.

Citation Download Citation

Michael C. Roggemann, Byron M. Welsh, and Troy L. Klein "Algorithm to reduce anisoplanatism effects on infrared images", Proc. SPIE 4125, Propagation and Imaging through the Atmosphere IV, (17 November 2000); https://doi.org/10.1117/12.409295

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