Patent ID: 11943417
Assignee: HUAWEI TECHNOLOGIES CO., LTD.
Field: Audio-visual technology (Electrical engineering)
Classification: CPC H  G | IPC G  H

Claim 5:
6. A method for training the deconvolution neural network model of claim 5, the method comprising:
converting a set of input perspective images to a set of elemental images;
distorting the set of elemental images by using the deconvolution neural network and point spread functions (PSFs) of the MLA at vicinity θ+ϵ of a plurality of viewing angles θ, the deconvolution neural network comprising one or more first parameters, and the PSFs being generated based on one or more second parameters of the MLA;
adding Gaussian and Poisson display-noise display noise to the set of distorted elemental images to generate synthetic measurement (SM);
using a convolution function to convolve the SM with PSFs of the MLA at the plurality of viewing angles θ to generate a plurality of second perspective images;
comparing the input perspective images and the output perspective images to generate a loss; and
adjusting the one or more first parameters and the one or more second parameters to minimizing the loss.