Imaging through turbulence: A light-field approach

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Department of Electrical and Computer Engineering; Center for Data Sciences


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.

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Proceedings of the Advanced Maui Optical and Space Surveillance (AMOS) Technologies Conference