Generation of a restored image from a video sequence recorded under turbulence effects

Beny Cohen; Vadim Avrin; Moshe Belitsky; Its'hak Dinstein

doi:10.1117/1.601592

1 December 1997 Generation of a restored image from a video sequence recorded under turbulence effects

Beny Cohen, Vadim Avrin, Moshe Belitsky, Its'hak Dinstein

Optical Engineering, Vol. 36, Issue 12, (December 1997). https://doi.org/10.1117/1.601592

Turbulence conditions affect video images in two ways. They cause local blur, and they distort the geometry of the scene. A video sequence of a still scene recorded under turbulence appears to contain local random motion of small neighborhoods in the images. The blur is an accumulated result of the imaging point spread function and the local motion. The geometric distortion is due to the fact that small neighborhoods move in different directions. The restoration scheme reported takes care of the geometric distortion as well as the blur. The geometric distortion is reduced by averaging the gray levels of relatively long (a few hundred images) video segments. The averaging reduces the geometric distortion, but it increases the blur. The second stage is the estimation of the global point spread function. The blur in the average image is a combination of the effects of the imaging system transfer function, the turbulence, and the averaging of the sequence. The global nonisotropic point spread function is estimated based on edge responses in the average image. A Wiener filter is used for the restoration of the image. The presented experimental results are superior to the results obtained by a previously proposed majority-vote technique.

Citation Download Citation

Beny Cohen, Vadim Avrin, Moshe Belitsky, and Its'hak Dinstein "Generation of a restored image from a video sequence recorded under turbulence effects," Optical Engineering 36(12), (1 December 1997). https://doi.org/10.1117/1.601592

Published: 1 December 1997

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