Abstract
Several methods have been proposed for reconstructing the target image using a linear image sensor with detectors arranged in one dimension. However, they have problems with illumination time, reconstruction time, and complex synchronization between pattern illumination and measuring light intensity data. Here, we propose a one-shot imaging and classification method using a linear sensor and diffuser, called vector sensor imaging. We constructed two deep neural networks for this purpose and demonstrated their effectiveness through simulations and experiments.
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