Image processing algorithms for imaging through atmospheric turbulence
Abstract
In the past decade several different long-range imaging systems were developed working in boththe optical range (in visible as well as infrared spectral bands). A direct consequence of imagingdistant scenes is the effects of the atmosphere, and especially the presence of turbulence, whichbecome non-negligible and affect the final resolution, limiting the efficiency and making it difficultto identify a possible target. Several image processing algorithms were proposed to reduce the impact of the atmosphere and to reconstruct an image with better resolution and without geometrical deformations. In this proposal, we plan to continue our work on this topic and especially continue some of our investigations we made in the last two years. We will continue our current efforts on the generalization of the Fried kernel and we will continue our work on how to distinguish a moving target vs turbulence movement.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Apr 09, 2018
- Source ID
- FA95501810139
Entities
People
- Jérôme Gilles
Organizations
- Air Force Office of Scientific Research
- Salk Institute for Biological Studies
- United States Air Force