Imaging Through Turbulence: A Light-Field Approach

Jeremy Bos, Department of Electrical and Computer Engineering – Michigan Technological University

Keywords: Imaging through turbulence, light-field imaging, anisoplanatism, extreme anisoplanatism, daylight imaging

Abstract:

In contrast to traditional imaging techniques, light-field imaging systems records variations in intensity from points in a scene as a function of angle. In the context of computational photography, light-field processing allows for image reconstruction from multiple viewpoints and different depths of focus. It is increasingly recognized that certain wave front sensing techniques are essentially light-field capture techniques. In this work, we compare lightfield processing techniques to traditional imaging in the context of imaging through turbulence. Our goal is to understand the effect of turbulence on captured light-field and if light-field processing techniques may offer a way to overcome turbulence effects that are resistant to traditional methods. Specifically, we aim to understand how lightfield techniques may provide angular diversity to overcome the effects of extreme anisoplanatism.

Date of Conference: September 19-22, 2017

Track: Adaptive Optics & Imaging

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