SYSTEMS AND METHODS OF NEURAL NETWORK TRAINING

    公开(公告)号:US20230019874A1

    公开(公告)日:2023-01-19

    申请号:US17374034

    申请日:2021-07-13

    Abstract: A computer system is provided for training a neural network that converts images. Input images are applied to the neural network and a difference in image values is determined between predicted image data and target image data. A Fast Fourier Transform is taken of the difference. The neural network is trained on based the L1 Norm of resulting frequency data.

    Method and device for increasing resolution of an image sensor

    公开(公告)号:US10609311B2

    公开(公告)日:2020-03-31

    申请号:US15243001

    申请日:2016-08-22

    Abstract: The provided solution is an optical system comprising an image sensor and a collecting entrance lens having a predetermined field of view, the optical device further comprising a dynamically configurable light barrier having at least two masking elements, the dynamically configurable light barrier being configured so that only one of the masking elements can be set in a state in which light passes through, the at least two masking elements being configured so that images acquired by the image sensor when one of the at least two masking elements is configured in a state in which light passes through represent different portions of the predetermined field of view than images acquired by the image sensor when another one of the at least two masking elements is configured in a state in which light passes through.

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