System and method for video restoration for high-speed low bit-depth images

Abstract

An image reconstruction system includes a single-photon detector array and a computing device. The single-photon detector array captures a time series of low-bit-depth image frames, which have a high temporal resolution (framerate). The computing device is configured to receive and process the time series of low bit-depth image frames to reconstruct a time series of high-quality reconstructed image frames. The image reconstruction pipeline leverages by the computing device incorporates a deep-learning-based, end-to-end neural network configured to reconstruct high-quality grayscale images from low bit-depth (e.g., 3-bit) quanta image data.

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