High speed phase recovery from through-focus intensity images remains challenging. The limitation lies in the accumulated exposure time of intensity measurement. In this work, we propose to recover phase from the measurement of an event camera. Event cameras asynchronously measure intensity changes at microsecond resolution. It enables capturing the through-focus intensity changes with high speed. We build the forward model of the imaging process, which incorporates the temporal noise of event camera. We develop nonlinear optimization algorithms to solve phase from measured events. We validate the algorithms with simulations and test the effects of sensitivity parameters and temporal noise.
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