Patent ID: 11893482
Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
Field: Audio-visual technology (Electrical engineering)
Classification: CPC G  H | IPC G  H

Claim 0:
1. A method of training a machine learning model, the method comprising:
inputting training image pairs into the machine learning model, the machine learning model comprising a U-shaped neural network comprising a first sub-encoder and a second sub-encoder in parallel with the first sub-encoder, each training image pair comprising an undegraded image and a degraded image that represents an appearance of the undegraded image to a behind-display camera, the degraded image comprising loss of mid-frequency information due to diffraction-related blurring, the mid-frequency information within a range of 2 to 8 cycles per degree; and
training the machine learning model using the training image pairs to generate mid-frequency information to correct for the loss of mid-frequency information due to the diffraction-related blurring, wherein the first sub-encoder is trained to compute residual details and the second sub-encoder is trained to learn content encoding.