In general, long range visual detection, recognition and identification are hampered by
turbulence caused by atmospheric conditions. Much research has been devoted to the field …

We show experimental results demonstrating the feasibility of an extremely fast sequential
phase-diversity (SPD) algorithm for point sources. The algorithm can be implemented on a …

Recognition and identification ranges are limited to the quality of the images. Both the
received contrast and the spatial resolution determine if objects are recognizable. Several …

In general, long range visual detection, recognition and identification are hampered by
turbulence caused by atmospheric conditions. Much research has been devoted to the field …

We study different possibilities to use adaptive optics (AO) and phase diversity (PD) together
in a jointly optimized system. The potential of the joint system is demonstrated through …

Joint-optimization of phase-diversity and adaptive optics Page 1 Joint-optimization of phase-diversity
and adaptive optics Visa Korkiakoski and Christoph Keller Utrecht University, Princetonplein …

Atmospheric turbulence is a well-known phenomenon that diminishes the recognition range
in visual and infrared image sequences. There exist many different methods to compensate …

Long range imaging is limited by the optical aberrations produced by the light propagation
through the atmosphere. These aberrations will very often limit the angular resolution of the …

Long range observation through atmospheric turbulence is hampered by spatiotemporally
randomly varying shifting and blurring of scene points in recorded imagery. The image …

To compensate for visual artifacts due to atmospheric turbulence is of key importance for the
task of visual identification over long distances. In this paper we propose a new method to …